econstor Make Your Publication Visible

Size: px
Start display at page:

Download "econstor Make Your Publication Visible"

Transcription

1 econsor Make Yor Pblcaon Vsble A Servce of Wrschaf Cenre zbwlebnz-informaonszenrm Economcs Joran Thomas J.; gler Peer; Lenz Carlos; Savoz Marcel R. Workng Paer GDP Daa Revsons an Forwar-Lookng Monear Polc n Swzerlan WWZ Dscsson Paer No. 005/05 Prove n Cooeraon wh: Cener of Bsness an Economcs WWZ Unvers of Basel Sggese Caon: Joran Thomas J.; gler Peer; Lenz Carlos; Savoz Marcel R. 005 : GDP Daa Revsons an Forwar-Lookng Monear Polc n Swzerlan WWZ Dscsson Paer No. 005/05 Ths Verson s avalable a: h://hl.hanle.ne/049/335 Sanar-Nzngsbengngen: De Dokmene af EconSor ürfen z egenen wssenschaflchen Zwecken n zm Prvagebrach gesecher n koer weren. Se ürfen e Dokmene nch für öffenlche oer kommerzelle Zwecke vervelfälgen öffenlch assellen öffenlch zgänglch machen verreben oer anerweg nzen. Sofern e Verfasser e Dokmene ner Oen-Conen-Lzenzen nsbesonere CC-Lzenzen zr Verfügng gesell haben sollen gelen abwechen von esen Nzngsbengngen e n er or genannen Lzenz gewähren Nzngsreche. Terms of se: Docmens n EconSor ma be save an coe for or ersonal an scholarl roses. Yo are no o co ocmens for blc or commercal roses o exhb he ocmens blcl o make hem blcl avalable on he nerne or o srbe or oherwse se he ocmens n blc. If he ocmens have been mae avalable ner an Oen Conen Lcence esecall Creave Commons Lcences o ma exercse frher sage rghs as secfe n he ncae lcence.

2 GDP aa revsons an forwar-lookng monear olc n Swzerlan Peer gler* Thomas J. Joran** Carlos Lenz*** Marcel R. Savoz**** *WWZ Unvers of Basel an Swss Naonal Bank Peersgraben 5 Basel 4003 Swzerlan Corresonng ahor: Tel: ; Fax: **Swss Naonal Bank an Unvers of Bern Börsensrasse 5 Zürch 80 Swzerlan *** WWZ Unvers of Basel Peersgraben 5 Basel 4003 Swzerlan **** Swss Naonal Bank an Unvers of S. Gallen Börsensrasse 5 Zürch 80 Swzerlan E-mal Aresses: eer.kgler@nbas.ch P. gler homas.joran@snb.ch T. Joran carlos.lenz@nbas.ch C. Lenz marcel.savoz@snb.ch M. Savoz Absrac Ths aer analzes forwar-lookng rles for Swss monear olc n a small srcral VAR moel conssng of for varables akng no accon aa revsons for GDP. Frs he aer evelos an analcal meho o analze he effec of aa revson errors n GDP on he ex ane or cononal nflaon-o-growh volal rae-off an ales o Swss aa. Secon he effecs of fferen arges n a forwar-lookng monear olc on ex os or ncononal volal of nflaon an o growh s exlore b a smlaon exercse. In general he resls obane sgges ha focsng monear olc on GDP growh nsea on nflaon ma lea o an neffcen olc wh boh ncrease mem erm nflaon an GDP growh volal n he resence of GDP aa revsons. ewors: Srcral VAR forwar-lookng monear olc effcenc froner GDP aa revsons JEL classfcaon: E5; E58 Frs Draf Ma 00 Las Revson Janar 005 Earler versons of hs aer were resene a he annal congress of he "Schwezersche Gesellschaf für Volkswrschaf n Sask" Nechâel Jne 00 he meeng of he "Asschss für Makroökonome - Veren für Socalolk" Bonn Jne 8/9 00 he SNB-Fe Clevelan Worksho on Monear Economcs Zürch Jl /3 00 he meeng of he "Asschss für Gelheore n -olk - Veren für Socalolk" Frankfr am Man Febrar 0/ 003 a he ECB Inve Seakers Semnar Arl an a he Bnesbank Conference Real-me aa an monear olc Elvlle Ma 8/ Helfl commens of arcans of hese meengs an of an anonmos referee are graefll acknowlege. We are n arclar nebe o Erns Balenserger Lawrence Chrsano Manfre Nemann Güner Coenen an Rober Rasche for her sggesons. Forhcomng n Norh-Amercan Jornal of Economcs an Fnance 005

3 . Inrocon Afer 5 ears of monear argeng he Swss Naonal Bank SNB aoe a new monear olc framework a he en of 999. Severe shocks o he eman for cenral bank mone esecall for large enomnae bank noes an for reserves hel b commercal banks a he SNB renere mossble o se he mem-erm arge ah for he seasonall ajse monear base as a gelne for monear ecsons. Ths he SNB ece o abanon monear argeng. The new framework consss of hree elemens. The frs elemen s an exlc efnon of rce sabl. The SNB regars rce sabl as acheve f CPI nflaon s below ercen. The secon elemen consss of he se of an nflaon forecas as he man ncaor o ge monear olc ecsons. The hr elemen s a arge range for he hree-monh Swss franc Lbor as an oeraonal arge o mlemen monear olc. As n he ol conce mananng rce sabl over he mem erm remans he man objecve of monear olc also n he new framework. In he new framework he nflaon forecas serves as he man ncaor for gng olc ecsons. Alhogh here s no mechancal reacon o he nflaon forecas an he nflaon forecas s no reae as an nermeae arge he scsson a he boar abo monear olc s focse on he nflaon forecas. The forecas se n he ecson-makng rocess s a consenss forecas ha s erve from a seres of moels an ncaors. The SNB recenl sare o blsh ses regarng hese moels. Joran an Pergne 00 elvere an nrocon o he nflaon forecas of he SNB an he moels se o erve. Saler 00 resene he large raonal srcral macro moel of he SNB an Joran gler Lenz an Savoz 00 rove an overvew over he fferen VAR aroaches se a he SNB. For he rose of analzng forwar-lookng olces a small srcral VAR conssng of for varables was eveloe b gler an Joran 004 an gler an Rch 00. Ths research was exene b gler Joran Lenz an Savoz 005 who eveloe an analcal meho o analze he ex ane or cononal mem-erm nflaono-growh volal rae-off for a forwar-lookng olc amng a a convex combnaon of a mem erm nflaon an an o growh arge n a SVAR moel. Ths aer exens hs framework wh wo resecs. Frs consers he effecs of aa revsons errors n GDP on he ex ane or cononal mem-erm nflaon-o-growh volal rae-off. Secon he effecs of fferen arges n a forwar-lookng monear olc on ex

4 os or ncononal volal of nflaon an o growh s exlore b a smlaon exercse. The bref olne of he ams of he aer a han clearl ncaes ha s relae o a growng lerare on he effecs of nceran abo oenal o an he o ga on he erformance of monear olc rles. Orhanes was one of he frs who consere hs qeson sng real me aa for US o ga. He concle ha aa revson errors n he o ga were of crcal morance for he over-exansonar US monear olc n he sxes an sevenes an ha neglecng sch aa revson errors leas n general o a oo acvs olc. However Svensson an Woofor 000 arge ha hs resl s manl case b he fac ha n Orhanes framework he cenral bank behaves as f here were no aa revson errors an ha saears when he omal olc rle s a fncon of he bes esmae of he sae varables n arclar of he o ga. Neverheless he resence of nceran wh resec o oenal o resls of corse n welfare losses an has effecs on smle Talor-lke rles n sanar macroeconomc moels Smes 00. Exensons an qanave llsraons of hese resls are fon n Ehrmann an Smes 003 who bl a small sochasc general eqlbrm moel wh enogenos erssence calbrae o he ero area. Brefl her exercse ncaes ha he aa revson roblem leas o sbsanal welfare losses manl n he form of hgh o ga varabl. Moreover smle Talor rles aear o work well when an omal o ga esmae s se an oenal o nceran favors he aonmen of a conservave n he sense of Rogoff 985 cenral banker. Ths aer ffers from he lerare skeche above n he followng wa. Frs we o no conser nceran wh resec o he o ga or oenal o b onl wh resec o GDP whch s b self alrea large as resl of srong revsons of he qarerl naonal accons. Noe also ha we o no face he roblem of obanng a bes esmae of an nobservable varable sch as he o ga snce onl GDP growh s consere n or moel. Ths aroach can be seen as a wa o crcmven he roblem of measrng he level of oenal o as recommene among ohers b Orhanes 000. Secon we o no conser an exlc srcral moel of he econom b or analss s base on he mlse resonse we esmae sng a SVAR moel. Thr he olc makers o no accon for he nceran wh resec o he real me GDP fgres. Ths we rocee on he assmon ha he frs release qarerl GDP fgre s he bes esmae avalable a he me when he olc ecson s aken.

5 The remaner of he aer s organze as follows. Secon brefl escrbes he SVAR moel for he analss of Swss monear olc an gves a shor accon how he nflaon-growh rae-off s eermne n he absence of GDP aa revson errors. Daa revson errors are aken no accon n Secon 3. Secon 4 consers he effecs of noneqlbrm nal conons an olc namcs an Secon 5 concles.. A SVAR Analss of Swss Monear Polc In hs secon we gve a bref accon of he framework se for olc analss n orer o oban he nflaon GDP growh volal rae off. The VAR moel ncles a vecor of changes X ' log r log m / log where s GDP n 990 Swss francs enoes he consmer rce nex m he mone sock M an r he qarerl average of he hree-monh Swss-franc Lbor rae of neres. In orer o kee he moel as lean as ossble he exchange rae s excle from he vecor X as he ransmsson of monear olc va he exchange rae s nrecl care b he mlse resonses of he VAR moel. Exlc nclson of he exchange rae wol be necessar f hs varable ha nflence SNB behavor n a ssemac wa an herefore were reqre o enf a monear olc shock. Exchange rae conseraons lae no moran role for he blk of he samle ero he exceon beng n arclar he ears 978/79. Noe ha we o no selec a monear aggregae wh a sable long-rn mone eman fncon n levels sch as M3. We are onl nerese n a mone sock conce rovng a lo of nformaon for he enfcaon of a monear olc shock. The monear base was no se as he nrocon of he elecronc Swss Inerbank Clearng Ssem an he relaxaon of banks' lq reqremens srongl sore even he raes of change n hs aggregae. However we shol also menon ha he resls are robs wh resec o he n- or exclson of he mone sock seres: a hree varables VAR who mone roces essenall he same shae of he mlse resonses o he monear olc shock as he for varable ssem. Fnall we ogh o menon ha he sanar n-roo an co-negraon ess sor he frs-fference secfcaon aoe n hs aer. The resls wh resec o he neres rae are ambgos: we canno rejec he n roo hohess ADF es as well as he saonar hohess PSS es. Ths we rocee on he I hohess whch s more convenen n or framework for enfcaon of a monear olc shock. Of corse hs mles ha he real rae of neres rae s non-saonar wha s clearl obfl n he long-rn. However for he mem-erm forecasng horzon consere n hs aer hs assmon s eeme acceable. 3

6 In hs aer long-rn neral resrcons are se n orer o enf srcral shocks wh varances normalze o. Brefl we have he followng nerreaon of he for enfe shocks. Frs here s a sl shock whch can eher have a long-rn effec on all for varables consere. Secon we have an IS shock whch ma have a ermanen effec on all varables exce for o. Thr here s a mone eman shock whch affecs onl he real mone sock an rces n he long rn. Forh an mos moranl n or framework we enf a mone sl or monear olc shock whch has onl a long-rn effec on rces an of corse on he nomnal mone sock. These sx long-rn ranglar resrcons lea o an exacl enfe moel. All varables ncle n he moel are seasonall ajse wh he exceon of he neres rae. The lag lengh k was se o fve qarers whch s he omal vale accorng o he Akake creron. Fgre shows he esmaes for he cmlae mlse resonses of he for varables o all for shocks. 3 In he frs colmn we fn he resonses of all varables n he orer he aear n he vecor X o he sl shock. Then we have he resonses o he IS-shock o he mone eman shock an fnall n he las colmn he resonse o he monear olc shock whch s of mos morance n he crren conex. B an large he laer resonse esmaes correson o he vews share b mos macroeconomss n Swzerlan abo he effecs of monear olc. Frs here s evence of a shor-rn negave lq effec on he neres rae exenng over wo qarers. The osve reacon n real GDP sars weakl an reaches s eak afer fve qarers an sars o eer o afer anoher ear. Wh resec o rces akes sx qarers nl a major osve effec s fel an 4 qarers are neee for fll ajsmen of rces. Afer abo he forh qarer rsng rces an nflaon execaons case he neres rae o overshoo emorarl s long-rn eqlbrm level. Fnall he real mone sock remans consan over he long-rn eqlbrm level for a ear an ecreases o over he nex for qarers. Before rnng o he analss of monear olc n hs SVAR moel le s brefl menon ha he mlse resonses o he oher hree shocks are n lne wh or rors from economc heor. In arclar we fn a ermanen osve negave effec of he sl shock on he rocon rces an he IS shock leas o a hm-shae ransor resonse of rocon exenng over 0 qarers whch s accomane b a ermanen ncrease n he rce level. In earler aers menone n he nrocon we se an over-enfe SVAR moel nclng shor-rn resrcons. The over-enfng resrcons o no change essenall he resls obane n hs aer snce ha SVAR moel roces smlar mlse resonses for he monear shock. However he oher shocks are easer o nerre n he crren verson of he moel. 4

7 Alernave sraeges for Swss monear olc can now be analze b ervng cononal forecass from he SVAR moel. Secfcall we eermne a seqence of olc shocks reqre o sasf sch conons as an average nflaon arge over a wo- or hreeear ero. Before we rn o hs exercse n eal we have o scss brefl he aroraeness of or aroach. I mgh be arge ha he change n he SNB's monear regme as olne above nvalaes he se of a moel fe o aa generae b a fferen monear envronmen. However we beleve ha hs roblem s no of aramon morance n he resen conex. Prce sabl remane he lmae objecve of Swss monear olc hrogho he samle ero. Moreover alhogh he SNB ajse s oerang roceres a he en of 999 hs mofcaon no case a break n he me seres rocess of he varables consere n or SVAR moel: Bank reserves se as he man olc nsrmen before 999 an he neres rae on reos he rncal new nsrmen are no ncle n or VAR ssem. Now le s brefl olne he aroach eveloe b gler Joran Lenz an Savoz 005 for he analss of forwar lookng monear olc. Conser a monear olc sraeg base on an average nflaon forecas for he nex qarers as s ale n Swzerlan. Take he examle of a monear olc reacng smmercall o osve an negave evaons from he nflaon arge π * measre a a qarerl rae. In hs framework olc s rece b he exece evaon as of me of he average nflaon from s arge for horzon π * E log log where E x E x x x.... T Nex we have o eermne he seqence of monear shocks from o ha leas o an exece average nflaon whch s eqal o he arge π *. In Swzerlan monear olc ecsons have o be mae gven las ero vales for CPI nflaon an mone growh b onl a frs esmae of GDP growh for he las few qarers. Ths saon hs ffers from he sal assmon n heorecal moels ha monear olc can reac o crren ero fnal vales of nflaon an o. There s an nfne nmber of was o calclae hese shocks. Leeer an Zha 999 show ha olc shocks n VAR-moels have o be moes an leas srbng n orer no o volae he val of he smlaons. We 3 No confence nervals are gven n Fgre. Joran gler Lenz an Savoz 00 show ha he effecs of 5

8 herefore mnmze he sm of he sqare shocks sbjec o he resrcon so ha he average nflaon rae s on arge. As shown b Joran gler Lenz an Savoz 005 hs leas o he followng seqence of olc shocks AA44 g. AA j 4 44 j 0 AA j s he 4x4 marx of he mlse resonse cmlae over j eros. Ths he elemen 44 of hs marx gves he j ero cmlae resonse of nflaon o a monear shock In he remaner of he aer we call a rle whn or SVAR aroach base exclsvel on an nflaon arge a sraeg of src mem-erm nflaon argeng. Of corse we can al he same aroach sng he average o growh as a arge of monear olc. Assme ha he argee o growh rae s enoe b γ *. Agan we efne frs he evaon of he ncononal forecas of he o growh from arge eros ahea: γ * E log log 3 The alcaon of he same rocere as ale for nflaon roves s wh he followng omal n he leas sqares sense olc shocks for o : AA4 g 4 AA j 4 4 j 0 In wha follows we call a rle whn or SVAR aroach base exclsvel o growh arge a sraeg of src mem-erm o growh argeng. Now le s conser he rae-off face b monear olc n he framework of or SVAR moel. To hs en we conser he varabl of nflaon an o growh mle b fferen egrees of mem-erm nflaon an o growh argeng over he -ero horzon. To sar wh we efne a convex combnaon of he monear olc shocks for src mem-erm nflaon or o growh argeng gven n eqaons an 4: he monear olc shocks n an overenfe varan of he moel are sascall sgnfcan. 6

9 α g g 5 4 α Ths s he saon of a monear olc boar where he ecson s aken b consenss an accorng o he average references of s members. The boar members have eher he reference for re nflaon argeng or re o growh argeng n he mem erm. The arameer α hs reflecs he fracon of he nflaon hawks n he boar an α s he fracon of he nflaon oves. Of corse for α we have he case of src mem-erm nflaon argeng an for α 0 we follow a src mem-erm o growh argeng. Ths sraeg corresons o he goal of mnmzng he weghe sm of he cononal varabl of he exece mem erm nflaon an growh rae. The roose formalzaon of he monear olc sraeg s arorae n he sense ha cares ver well he focs of mem erm orenaon of Swss monear olc on nflaon an GDP growh ersecves. Inee or exerence ells s ha he scsson abo Swss monear olc exacl focses on mem erm nflaon an GDP growh olook an a man sse s how mch a GDP growh arge shol be aken no accon. However or framework for monear olc analss ffers from he wo aroaches sall aoe n he lerare namel he Talor rle an he omzng framework. I ma be arge ha or framework les somehow beween hese wo aroaches. Eqaon 5 shares some feare wh he Talor rle framework: mles for nsance a negave vale for he monear olc shock when he mem erm nflaon forecas an/or GDP growh forecas s above arge whch leas o an ncrease n he neres rae. The weghs α an -α la a smlar role as he coeffcens of he nflaon an o ga erm n a Talor rle resecvel. B conras o an a hoc Talor rle he olc reacon n or framework ams a a mem-erm arge akng fll no accon he exece namc effecs accorng o a fll secfe emrcal moel. Ths feare of or moel s share wh he omzng framework. However he laer s more general n he sense ha a scone weghe average of all fre exece nflaon an o varabl s aken no accon. Wh or aroach olc makers are more smle mne as he care onl abo cononal mem erm nflaon an GDP growh volal. Anoher moelng sse s rase b he Lcas crqe. Of corse or aroach wol be nval f we consere changes n α as regme changes. We arge n a smlar wa agans hs ossble objecon as we before when we brefl aresse he qeson of sng aa from a ero of monear argeng o esmae a moel se for he analss of 7

10 forecas orene monear olc. We see regme changes as fnamenal new orenaons of he goals of monear olc as he ranson from an envronmen of hgh an volale nflaon o a olc of keeng nflaon low as man conres exerence n he las 5 ears. In or moel nflaon alwas rerns o s long-rn eqlbrm rresecve of he vale aoe for α. We conser sch changes herefore as moes an non-fnamenal as he low nflaon envronmen revalng n Swzerlan snce he m-sevenes s reserve. Now le s see o wha exen he lanne seqence of monear olc shocks s able o close he evaon of average nflaon an o growh rae from her arges. The remanng gas an measre as evaon from arge corresons o he mac of he olc shocks mns he forecase evaon from arge an nce b he hree non-olc shocks a me. The cmlae mlse resonse fncon leas o he followng evaons for nflaon r an GDP growh r from arge resecvel gler Joran Lenz an Savoz 005: r r [ ] G G r j AA AA AA r AA r j α α α α α [ ] G G r j AA AA AA r AA r j T α α α α α For he economc nerreaon of he wo exressons erve above we brefl conser for examle he exece resonse of he mem erm nflaon rae o he forecas-orene monear olc. If α s eqal o one src mem-erm nflaon argeng we exec o h he average nflaon arge exacl an he ga s zero. Oherwse he mem erm evaon of nflaon from arge s eermne b he exresson n brackes. The secon erm of hs exresson reflecs he nflence of he reacon of monear olc o he o growh arge whch eens on he evaon r ] [ G 8

11 from he o arge an he arameer G whch measres he co-movemen of o an rces n reacon o a monear olc shock. The evaon of he -ero ahea average nflaon an o growh from arge s revse n ero accorng o he shocks hng he econom. For he sake of smlc we assme ha we are n eqlbrm n me n he sense ha we exec o h boh arges n he ero o an corresonngl he monear olc shock n ero s zero. However he non-olc shock of ero leas o evaons from he arges whch n rn nees a revson of he lanne monear olc shock seqence. We frs noe ha he evaons of he ncononal forecass from her arges are gven b: l 4 l 4 AA AA l AA AA l 0 0 l l 8 9 Noe ha he srcral shocks have an mac effec on nflaon an o growh whch has o be sbrace as has no nflence on fre nflaon an growh. Sbsng hese exressons no eqaon 6 an 7 resecvel we ge r r α α l 4 l 4 [ AA l [ AA AA AA l 0 G 0 G AA AA l AA AA l 0] 0] l l 0 Calclang cononal varances gven nformaon of me roves he followng exressons: Var r Var r α α l 4 l 4 [ AA [ AA l AA AA l 0 G 0 G AA AA l AA AA l 0] 0] 3 Ths mles a lnear rae-off n he sanar evaons of he o growh an nflaon mem-erm resonses. Of corse hs cononal varance s zero for nflaon o growh when α s 0 oherwse boh varances are larger han zero. The reaer has o be remne ha hese cononal varances are wh resec o he -ero ahea exece vales n. 9

12 3. The Effec of GDP Revson Errors on Inflaon an Growh Rae Volal In hs secon we analze he effecs of GDP revson errors on monear olc nce volal of nflaon an growh. For CPI nflaon aa revson errors are no a seros roblem gven he fac ha hese aa are avalable on a monhl bass raccall who ela an are harl ever revse. The same ales o mone sock aa whch are onl sbjec o mnor revsons. However aa revson errors are clearl a roblem for o: Two monhs afer he en of a qarer a frs GDP esmae s release. In Seember of ear hese fgres for he receng ear are revse when he are ajse o he frs release annal GDP aa for he receng ear. The annal accon of ear - s self sbjec o revsons whch are blshe n Seember of ear an whch lea o a secon revson of qarerl GDP fgres of ear -. Moreover he changes n he base ear of he accon n 989 an 997 lea o aonal fferences beween he fnal seres avalable oa an he real me aa of before Ths mng of aa revsons mles ha real me forecas n or VAR wh lag lengh fve have o be base on relmnar GPD fgres whch are all sbjec o revsons. The frs release qarerl GDP fgres are base on a regresson of annal GDP on annal aa of qarerl avalable rocon ncaors akng no accon frs orer aoregresson of he resals. Afer annal aa became avalable he fference beween he annal fgre an he sm of he qarerl frs release fgres s srbe o he qarerl aa akng no accon he aocorrelaon of he resals of he regresson eqaon Chow an Ln 97. Swss Qarerl GDP aa are release reglarl wh a wo monhs ela snce 980 when for he frs me an offcal hsorcal qarerl accon gong back o he m-sxes was blshe. The fference exresse n ercenage ons beween he fnal 990 base ear fgre an he frs release s loe n Fgre. The GDP aa revson error aears as a hghl volale an srongl osvel aocorrelae b saonar me seres wh a mean close o zero. Inee a sanar n roo es clearl rejecs he nll hohess an an AR moel wh a coeffcen close o 0.8 fs he aa well. The esmaes of he mean whch s 0

13 no sgnfcanl fferen from zero an he sanar evaon are 0.3 an.6 resecvel. The sanar evaon for he aa revson error of he growh rae of GDP whch s relevan n or VAR n frs fferences s 0.8. Moreover here s some slgh negave aocorrelaon whch s no sascall sgnfcan an whch can be neglece for raccal roses. 5 Before rnng o he effecs of hese aa revson errors on he volal rae-off beween nflaon an GDP growh we have o brefl scss he hgh erssence of he aa revson errors ocmene above. A frs sgh hs seems o ncae ha he frs releases of he GDP fgres are sb-omal esmaes. However sch a conclson s no warrane for he followng reason: he revson of he qarerl GDP fgres whn he framework of he Chow an Ln meho leas b consrcon o aocorrelae revson errors. Moreover a change n he base ear when new annal fgres for man revos ears become avalable leas o erssen revson errors. Ths GDP revson error has an nflence on growh an nflaon forecass whch een on n eqal o he VAR lag lengh mns one lagge nos growh raes n or VAR framework. The eases wa o calclae he effec of he aa revson errors on hese forecass s base on he rece form vecor movng average reresenaon of he me. vale of he vecor X efne n secon : X e C e... C e C e... C n e... 4 n v The aa revson error n GDP growh he frs elemen of he vecor X n me sa can be nerree as a change n he frs elemen of rece form error e n me an has herefore he effec C on he GDP growh forecas mae n where C s he elemen of he rece form mlse resonse marx C. Smlarl he effec on he nflaon forecas s C 4. If he aa revson error s ae me -j he corresonng effecs are C l j l 4. In or framework we are nerese n he cmlae effec of he aa revson errors on he nflaon an o growh forecas o eros whch are gven b 4 These base ear changes ncle conceal changes n he annal accon n arclar n 996. However we hnk ha hese changes also have o be accone for as he shol resl n beer GDP aa whch were calclae back o 980 an whch were se for he esmaon of he moel. 5 The frs orer aocorrelaon coeffcen s 0.3.

14 e e n j 0 C C 4 j v v j n j C j v j 5 6 The crren aa revson error has a secal effec on he forecase arge evaon of o as effecs he ero as well as he exece ero vale log o n eqaon 3. Ths exlans he sbracon of n he frs erm of he secon eqaon gven above. Le s now conser he aa revson nce exece evaons from he nflaon an growh arge re an re resecvel. Monear olc reacs o hese evaons accorng o eqaon 5 gven n Secon where -erms are relace b e-erms gven n eqaons 5 an 6: α g e g e 7 4 α Therefore he exece evaon from arge of nflaon an growh afer he error nce olc reacon are gven b re re AA AA The evalaon of hese exressons - analogos o he ervaon of eqaons 6 an 7 n Secon leas o he followng wo eqaons: re αe α Ge 0 re αg e α e Accorngl we ge he followng exressons for he cononal gven me nformaon varances for hese aa revson error nce changes:

15 Var re α Var e Var re α G Var e α G Var e α Var e α α G Cov e α α G Cov e e e 3 The covarance marx of he aa revson error nce evaons from arge s easl obane as follows: These wo varables can be wren as a lnear ransformaon of he n relevan error erms collece n a Vecor V namel DV. The elemens of he xn marx D are obane b he rece form mlse resonses as gven above. Ths he covarance marx of he wo evaons s DCov V D' where he covarance marx of V [ CovV ] s aroxmael agonal gven he aroxmae whe nose roer of he aa revson error. Therefore he rece form mlse resonse esmae of or SVAR moel an he varance for he aa revson error allow he calclaon of he varances an he covarance of he wo arge evaons. In Fgres 3 an 4 he nflaon an he o growh varance case b he aa revson error an he nce olc reacon s loe as fncon of α for 8 whch s favorable o o growh argeng as he effec of monear olc on o a hs horzon s relavel srong an n 4 whch s he relevan nmber of lagge aa revson errors n or VAR moel wh lag lengh 5. We can see ha he mnmm varance n boh cases s now obane wh a vale of α aroxmael eqal o The eclnng segmens of hese grahs are brogh abo b he fac ha he rece form mlse resonse of nflaon o a rece form shock n o growh s relavel weak comare o ha of o growh self. The slgh ncrease of he aa revson error nce varabl s case b he negave correlaon beween resonses of cmlae growh an nflaon. The loss of hs versfcaon effec leas o an ncrease n boh varances when he wegh of he src mem-erm nflaon arge ges exreme. However noe ha he exsence of aa revson errors n GDP growh favor a hgher wegh for he src mem-erm nflaon arge. Fgre 5 ncles scaerlos for fferen vales of α aong a 8 qarers horzon. The frs refers o he cononal varance of o growh an nflaon e o he occrrence of srcral shocks as escrbe n secon eqaons an 3. However he fnngs are robs wh resec o reasonable changes of he arge horzon for he conc of monear olc wo o hree an a half ears. We can see from Fgre 5 ha or SVAR moel mles a sanar convex effcenc froner for he cononal varances of nflaon 3

16 an growh. Tolerang a hgher varabl of o growh allows for a lower varabl of nflaon an vce versa rae-off. Thereb he maxmm varabl of nflaon s clearl hgher han he maxmm varabl of o growh. Ths resl s case b he hgher erssence of he mac of he shocks on nflaon han on growh. The secon scaerlo as he varance e o aa revson errors. We noe ha here s no longer a convex effcenc froner f aa revson errors n GDP are aken no accon: Decreasng he wegh of o growh argeng over some range.e. ncreasng α from 0 o aroxmael 0.4 ecreases he cononal varance of boh nflaon an growh. Ths here s no rae-off beween smaller o growh varance an hgher nflaon varance over hs range. Ths resl s e o he fac ha wh aa revson errors monear olc reacs oo mch o nos aa f he wegh on o growh argeng becomes oo bg. Ths occrs becase he aa revson error has a srong mac on he growh forecas b no on he nflaon forecas. However f α > hs effec s slghl o-weghe b a loss of versfcaon whch s brogh abo b he negave correlaon of he aa revson error nce resonses of mem erm nflaon an growh. The non-convex effcenc froner s an emrcal resl b he same henomenon ma arse n a sanar New-enesan moel of Clara Gal an Gerler 999 when he cenral bank reacs o nos o ga aa. The corresonng analss s brefl resene n an aenx o hs aer. Of corse hs rases he qeson wh he cenral bank oes no accon for he errors n he GDP aa n s olc b consrcng an omal esmae of GDP gven all avalable nformaon. Or aroach can be efene agans hs objecon b wo argmens: frs he qarerl GDP fgres release b he sascal offce shol be a bes esmae sng all qarerl avalable rocon emlomen an srve nformaon. Ths s no eas o arge ha he cenral bank s able o rove beer qarerl GDP esmaes. Secon even f he cenral bank col roce beer GDP esmaes wol be ver ffcl o commncae monear olc ecson relng on GDP fgres whch are fferen from he offcal aa rove b he governmen s sascal offce. Sch an aroach wol obvosl lea o crebl roblems for he cenral bank. Noe ha for he o ga hs roblem oes no arse as here s no offcal fgres release for hs varable an he cenral bank has he freeom o roce s own esmae. In sm we beleve ha he cenral bank has o base s olc on he offcall release GDP fgres when aos a GDP growh arge. 4

17 4. Non-Eqlbrm Inal Conons an Polc Dnamcs So far we have focsse or analss on he effecs of me srcral shocks on he me exece cononal volal of he -ero ahea exece nflaon an growh rae gven long-rn eqlbrm n he as n he sense ha we assme ha all shocks ae earler han are zero. The resls obane ner hs assmon ma ffer from hose for he ncononal varance of mem-erm nflaon an growh for wo reasons: frs here s no long-rn eqlbrm n he as an as shocks nflence crren an fre ocomes. Secon he realze ero ocome eens of corse also on he shocks an olc ecsons n he ero whch een on he fre mem-erm nflaon an growh forecass. Moreover fre olc ecsons are nflence b crren olc ecsons whch o no onl have an effec on average nflaon an growh o b also affec me ocomes. In orer o nvesgae he effecs of fferen monear olc sraeges on he ncononal varance of mem-erm nflaon an growh we se a smlaon aroach. We ake he hsor of he hree srcral shocks from 98 o 00 an he nal conons n 980/8 as gven an smlae he evelomen of he for varables of or SVAR moel ner he assmon ha he monear olc shocks are generae accorng o Eqaon 5 for fferen vales of α an sng hsorcal averages as nflaon an growh arges 6. The conerfacal seres obane n hs wa are hen se o calclae he varance of memerm nflaon an growh he samle varance of he generae seres x g x g for varng vales of α. The generaon of he forecass gng monear olc s one frsl b neglecng he GDP revson errors an seconl b sng he real me aa. The scaer agrams obane from hese smlaons are slae n Fgre 6. Fgre 6 ffers from Fgre 5 wh wo resecs: frs he ncononal varance s sbsanall nearl en mes hgher han he me varance. Secon he effcenc froner s no longer convex b slghl concave n he ncononal case who aa revson errors. Ths resl s brogh abo b a fferng shae of he eenence of he nflaon an growh varance on α. The varance of nflaon growh ecreases ncreases wh α a a ecreasng rae. Therefore lowerng he o nflaon wegh n a saon of src mem-erm growh nflaon argeng leas o a srong weak recon of growh 5

18 nflaon varance. The frs fference s eas o exlan snce no onl crren me shocks are aken no accon b also as an fre o me shocks are accone for. The non-convex shae of he s bascall exlane b he fac ha n or framework monear olc ams a a low ex ane varabl of he me exece mem erm growh an nflaon rae an no a he ex os varabl of hese seres. The ncononal varance eens n a mch more comlex wa on α han he varance of he me exece varances gven n Secon. In orer o see hs comlex s helfl o conser frs he ncononal no nal eqlbrm evaons from arges whch are gven b he followng eqaons: j 0 j 0 { AA { AA l j AA j AA l j j 4 j 4 j 3 3 l l AA AA l j AA j AA l j j l j l j } } 4 5 The frs erm n he wo eqaons above gves he effec of as srcral an olc shocks on he forecas evaons from arge n. Uner he nal eqlbrm assmon hese exressons rece o 8 an 9 as onl he me srcral shocks are fferen from zero. When hese eqaons are combne wh 5 for eqal o α g α g we see ha we generae an aoregressve 4 eenence of he olc shock: 4 { α g AA j AA j α g AA l j AA l j 4 j j 3 l α g AA j AA j α g AA j AA j } 6 l l l j The AR coeffcens een on he ero fferences of he cmlae mlse resonses of nflaon an growh he wegh of src mem-erm nflaon argeng an he olc resonse ner src mem-erm nflaon an growh argeng. As he fference of he cmlae nflaon mlse resonse s alwas osve we have a negave AR eenence osve n he case of src mem-erm nflaon growh argeng 7. To 6 The vales are.4 an.4 ercen er annm for nflaon an growh resecvel. 7 Noe ha he fferng szes of he cmlae mlse resonses of nflaon an growh are aroxmael comensae b fferen vale of he g-coeffcen whch s close o /3 an 3/4 for nflaon an growh resecvel. 6

19 nersan hs resl nvel conser a crrenl exansve monear olc whch leas o an ncrease n o whch s reverse afer seven qarers. The reverson of he olc effec calls for an exansonar olc n he fre n orer o h he growh arge. Therefore src mem-erm growh argeng can generae self-enforcng olc acons. The same sor ales o olc acons o crren IS an mone eman shocks whch have he same hm-shae cmlae resonse aern of GDP growh. Ths effec las no role for src mem-erm nflaon argeng as we have a ermanen effec of all shocks on he rce level whch s reache smoohl over me. The argmens olne above ncae ha here s a fference beween he rae-off n he namc conex consere n hs secon an he rae-off n he sac conex of Secon. In he fll namc conex large small recons n nflaon varabl alwas have o be a more or less b large small ncreases n GDP growh varabl. The secon scaer lo of Fgre 6 shows ha he namc effecs of he GDP-aa revson error lea o an even more rononce non-sanar effcenc froner. I has an ncreasng branch for α beween 0.45 an. Ths resl s brogh abo b he srong nflence of he aa revson errors on he GDP forecass an he mle olc reacon whch creaes hgher nflaon an GDP growh varabl. Ths effec o-weghs he small recon n growh rae varabl case b he ecrease of α. For vales of α smaller han 0.45 he mac of a lower α omnaes he mac of aa revson errors an hs leas o a srong recon of growh varabl. However mos of hs branch s no feasble as he assmon of moerae olc nervenon s clearl no longer arorae. These ocomes reqre monear olc shocks ha are clearl osve on average an hs nvalae or analss. In oher wors wh vales of α smaller han 0.3 smlae average nflaon rae s beween 0.5 o.5 ercen ons er annm above s hsorcal vale 8. Therefore he conseraon of GDP aa revson errors n or fll namc conex sharens or olc conclson of Secon 3 srongl n he sense ha src-mem erm nflaon argeng s sggese as a sraeg o ge nflaon an growh varabl as low as ossble. 8 I shol be sresse ha for all oher smlaons we ge average monear olc shocks whch are essenall 0 an herefore average smlae nflaon raes whch are ver close o he hsorcal average. 7

20 5. Conclsons In hs aer we analze forwar-lookng rles for Swss monear olc n a small srcral VAR conssng of for varables n he resence of GDP revson errors. There are wo man resls of he aer. Frs f aa revson errors n GDP are aken no accon here s no longer a convex effcenc froner beween he cononal varance of memerm nflaon an GDP growh: Increasng he wegh of he o growh arge α from 0.58 o ncreases he cononal varance of boh mem-erm exece nflaon an growh. Ths resl s e o he fac ha wh aa revson errors monear olc reacs oo srongl o nos aa f he wegh on o growh argeng becomes oo bg as aa revson errors have a srong mac on he growh forecas b no on he nflaon forecas. However f α > 0. 8 hs effec s slghl o-weghe b a loss of versfcaon whch s brogh abo b he negave correlaon of he olc reacon o aa revson error nce resonses of mem-erm nflaon an growh. Therefore a src mem-erm nflaon sraeg s neffcen even f he coss of ncrease volal of nflaon an growh comare o he case α 0. 8 are relavel small. The secon resl shows ha hs effec of aa revson error s renforce when noneqlbrm nal conons an he conseqences of enogenos olc namcs are aken no accon. In fac n he resence of GDP aa revson errors olc reacons o he nflaon an growh conseqences of as olc ecsons ma even esablze he econom f he wegh on he mem-erm GDP growh arge s hgh. In general he aer ncaes ha ner realsc assmons he cenral bank nces a hgher varabl of boh o growh an nflaon b concenrang oo srongl on o growh. The exsence of aa revson errors for GDP forcefll nerlne he lms an he rsks of a monear olc amng a o sablzaon. Even f he cenral bank onl cares abo growh sablzaon he wegh on hs arge relave o he one of he nflaon arge shol be clearl smaller han or even zero. Ths or resls confrm he concerns abo o growh sablzaon frs rase b Orhanes 000 when real me aa roblems an are aken no accon. In aon or fnngs are n lne wh he heorecal analss of Gasar an Vesn 004 who conser a non-omzng olc maker followng reasonable olc reces n a sanar new enesan moel wh nceran abo he o ga. The resls of he aer can also be lnke o he lerare on me-nconssenc of monear olc of he e nroce b Barro an Goron 983 an lan an 8

21 Presco In a semnal aer Rogoff 985 showe n hs conex ha elegang monear olc o a conservave cenral banker.e. a cenral banker who s relavel more concerne abo nflaon han he soce as a whole can ecrease he varance of boh nflaon an o growh an hereb mrove he welfare of he soce. In or moel me-nconssenc s no a roblem. However we can nerre α as he fracon of nflaon hawks n a cenral bank boar. Ths even f he soce ha srong reference of o sablzaon.e. f α s 0 wol be an avanage for he soce o aon a conservave boar wh a α clearl bgger han 0. Sch a boar ma elver a smaller varabl of o growh han a boar ha reflecs exacl he references of he blc. Conseqenl or resls sor he vew ha he governmen shol aon conservave cenral bankers when s olcall ffcl o movae a owngrang of he mem erm GDP growh arge b aa revson roblems for GDP. References Barro R.J. & Goron D.B Rles Dscreon an Reaon n a Moel of Monear Polc. Jornal of Monear Economcs 0-. Chow G.C.& Ln A. 97. Bes Lnear Unbase Dsrbon an Inerolaon of Tme Seres b Relae Seres. Revew of Economcs an Sascs Clara R. Gal J. & Gerler M The Scence of Monear Polc: A New enesan Persecve. Jornal of Economc Lerare Ehrmann M. & Smes F Unceran Poenal O: Imlcaons for Monear Polc. Jornal of Economc Dnamcs an Conrol 7: Gasar V. & Vesn D Imerfec owlege Learnng an Conservasm mmeo Frankfr Janar 004. Joran T.J. gler P. Lenz C. & Savoz M.R. 00. Inflaonsrognosen m vekoraoregressven Moellen. Qaralshef er Schwezerschen Naonalbank Joran T.J. & Pergne M. 00. De Inflaonsrognose er Schwezerschen Naonalbank. Qaralshef er Schwezerschen Naonalbank gler P. & Joran T.J. 004 Vecor Aoregressons an he Analss of Monear Polc Inervenons: The Swss Case. Schwezersche Zeschrf für Volkswrschaf n Sask gler P. Joran T.J. Lenz C. & Savoz M.R The Analss of Forwar-Lookng Monear Polc n a VAR Framework SNB Workng Paer Seres Ma As menone n he nrocon he same resl was obane b Ehrmann an Smes 003 n a fferen moellng framework. 9

22 gler P. & Rch G. 00. Monear Polc ner Low Ineres Raes: The Exerence of Swzerlan n he lae 970 s Schwezersche Zeschrf für Volkswrschaf n Sask lan F.E. & Presco E.C Rles Raher Than Dscreon: The Inconssenc of Omal Plans. Jornal of Polcal Econom Leeer E.M. & Zha T Moes Polc Inervenons. Feeral Reserve Bank of Alana Workng Paer 99. Lcas R.E Macroeconomc Polc Evalaon: A Crqe. Carnege Rocheser Conference Seres on Pblc Polc Rogoff The Omal Degree of Commmen o an Inermeae Monear Targe. Qarerl Jornal of Economcs Orhanes A The Qes for Proser who Inflaon. ECB Workng Paer No. 5. Orhanes A Monear Polc Rles Base on Real-Tme Daa. Amercan Economc Revew Smes F. 00. O Ga Unceran: oes Maer for he Talor Rle. Emrcal Economcs Saler P. 00. En ökonomersches Makromoell für e Schwez. Qaralshef er Schwezerschen Naonalbank 9: Svenssson L. & Woofor M Incaor Varables for Omal Monear Polc. ECB Workng Paer No.. Aenx: GDP Revson Errors n a Smle Theorecal Moel Le s conser he sanar New enesan moel scsse n he srve aer of Clara Gal an Gerler 999. I consss of IS-crve a "new" Phlls crve an a qarac loss fncon n nflaon π an growh or o ga x of he cenral bank whch oeraes b seng he nomnal neres rae x ϕ π λx E 0 E π βe π β [ ax π E x ] g A where g an are zero mean srcral shocks whch follow an AR rocess wh coeffcen µ an ρ resecvel. In hs moel omal monear olc ner screon s characerze b he followng frs orer conon x λ π A a mlng ha eman s conrace b ncreasng ecreasng he neres rae when nflaon s above below arge whch s sose o be zero. Now le s assme ha he cenral bank 0

23 observes x onl wh a zero mean aa revson error e whch follows an AR rocess wh coeffcen θ. Therefore he frs orer conon flflle b he cenral bank whch neglecs hs aa revson roblem s x λ e π A3 a Inserng he omal conon n he Phlls crve resls n π λ a λ π e βeπ The moel solon s a lnear fncon of he wo sae varables an e wh nknown coeffcens: π φ φ e A4 Accorng o he assme AR srcre he exece vale for s eqal o E π φρ φ θe Inserng hese exressons n he frs eqaon roves λ φ θe λe a φ φe β φρ Eqang coeffcens on boh ses of hs eqaon resls n a φ λ a βρ λa φ λ a βθ A5 Inserng he solon for π n he omal conon easl resls n he solon for x an we ge a π λ a βρ x λ λ a βρ λa e λ a βθ a βθ e λ a βθ A6 Ths means ha a osve aa revson error growh s eeme o be hgher b he cenral bank han reall s leas o a oo resrcve monear olc reslng n lower growh an lower nflaon. Uner he reasonable assmon ha an e are no correlae we have he followng exressons for he varances of nflaon an growh σ π a λa σ σ λ a βρ λ a βθ λ a βθ σ x σ σ λ a βρ λ a βθ e e A7

24 where σ s he sanar evaon of he varable ncae b he lower case leer. When here s no aa revson error hese exressons ml he sanar convex olc effcenc froner n he varance of growh an nflaon whch s obane b varng α from zero o nfn as scsse b Clara Gal an Gerler. However hs convex ma be esroe b he nrocon of he GDP aa revson error as monear olc reacs on nos o aa. I can be easl seen from he above exressons ha he conrbon of he aa revson error o he varance of nflaon ncreases wh α for boh varables. Therefore ncreasng a efnel ncreases he varance of nflaon b he effec on he varance of growh s ambgos: on he one han he effec of he srcral shock an he corresonng varabl ecreases. On he oher han he effec of he aa revson error on o an corresonngl s varabl ncreases. Whch of hese wo effecs omnaes arclarl eens on he relave magne of he varance of he srcral shock an he aa revson error. Fgre : Accmlae mlse resonses of changes n log GDP neres rae 3M-SFR- LIBOR log real mone sock M an log rces CPI o srcral shock SVAR5 qarerl aa 974/I-00/IV Resonse of GDP ercen over 6 qarers o a n sl shock n qarer Resonse of GDP ercen over 6 qarers o a n IS shock n qarer Resonse of GDP ercen over 6 qarers o a n M-eman shock n qarer Resonse of GDP ercen over 6 qarers o a n monear olc shock n qarer Resonse of LIBOR ercen over 6 qarers o a n sl shock n qarer. Resonse of LIBORercen over 6 qarers o a n IS shock n qarer. Resonse of LIBORercen over 6 qarers o a n M-eman shock n qarer. Resonse of LIBORercen over 6 qarers o a n monear olc shock n qarer Resonse of real Mercen over 6 qarers Resonse of real Mercen over 6 qarers Resonse of real Mercen over 6 qarers Resonse of real Mercen over 6 qarers o a n sl shock n qarer o a n IS shock n qarer o a n M-eman shock n qarer o a n monear olc shock n qarer Resonse of CPI ercen over 6 qarers o a n sl shock n qarer Resonse of CPI ercen over 6 qarers o a n IS shock n qarer Resonse of CPIercen over 6 qarers o a n M-eman shock n qarer Resonse of CPI ercen over 6 qarers o a n monear olc shock n qarer

25 Fgre : Daa revson errors of qarerl Swss GDP Percen fference beween fnal GDP aa an frs release GDP aa Fgre 3: 8-qarers-ahea cononal varance of nflaon case b aa revson errors of GDP Inflaon measre n ercen ALPHA s he wegh of mem erm nflaon arge 3

26 Fgre 4: 8-qarers-ahea cononal varance of o growh case b aa revson errors of GDP O growh measre n ercen ALPHA s he wegh of mem erm nflaon arge Fgre 5: 8-qarers-ahea cononal varance of nflaon an o growh rae-off Srcral shocks ashe lne as well as srcral shocks wh varng α an aa revson errors sol lne nflaon an o growh measre n ercen; alha s he wegh of mem erm nflaon arge 4

27 5

28 Fgre 6: 8-qarers-ahea ncononal varance of nflaon an o growh rae-off Hsorcal srcral shocks an smlae monear olc wh varng α ashe lne as well as GDP aa revson errors sol lne nflaon an o growh measre n ercen; alha s he wegh of mem erm nflaon arge 6

The Analysis of Forward-looking Monetary Policy in a SVAR Framework

The Analysis of Forward-looking Monetary Policy in a SVAR Framework The Analss of Forwar-lookng Monear Polc n a SVAR Framework Peer ugler, WWZ Unvers of Basel an Swss Naonal Bank Thomas J. Joran, Swss Naonal Bank an Unvers of Bern Carlos Lenz, WWZ Unvers of Basel Marcel

More information

Exercise 8. Panel Data (Answers) (the values of any variable are correlated over time for the same individuals)

Exercise 8. Panel Data (Answers) (the values of any variable are correlated over time for the same individuals) ercse 8. Panel Daa Answers. Gven m a,.,. I follows ha Varm m s Varm Varm s - Covm, m s Wh anel daa s lkel ha Covm, m s > he vales of an varable are correlaed over me for he same ndvdals Wh ooled daa hen

More information

Optimal Monetary Policy Delegation under Incomplete Exchange Rate Pass-Through

Optimal Monetary Policy Delegation under Incomplete Exchange Rate Pass-Through Omal onear Polc elegaon uner Incomlee Echange Rae Pass-Through aln Aolfson ockholm chool of Economcs, earmen of Economcs, P.O. Bo 65, -3 83 ockholm E/EFI Workng Paer eres n Economcs an Fnance No. 477 Ocober

More information

CONTROL ACTIONS. A two position controller has two fixed positions usually on or off.

CONTROL ACTIONS. A two position controller has two fixed positions usually on or off. VU e-learnng Coreware Conrol ngneerng (M55) CONROL ACIONS An aomac conroller comare he acal vale of he yem o wh he n (ere vale), eermne he evaon, an roce a conrol gnal ha wll rece he evaon o zero or a

More information

System GMM estimation with a small sample Marcelo Soto July 15, 2009

System GMM estimation with a small sample Marcelo Soto July 15, 2009 ysem GMM esmaon wh a small sample Marcelo oo July 15, 9 Barcelona Economcs Workng Paper eres Workng Paper nº 395 YTEM GMM ETIMATION WITH A MALL AMPLE Marcelo oo July 9 Properes of GMM esmaors for panel

More information

A study of volatility risk

A study of volatility risk Journal of Fnance and Accounng 2014; 2(1): 1-10 Publshed onlne January 30, 2014 (hp://www.scencepublshnggroup.com/j/jfa) do: 10.11648/j.jfa.20140201.11 A sudy of volaly rsk Kala Lama *, Jlan Faouz Graduae

More information

Research Division Federal Reserve Bank of St. Louis Working Paper Series

Research Division Federal Reserve Bank of St. Louis Working Paper Series Research Dvson Federal Reserve Bank of S. Lous Workng Paper Seres Inflaon: Do Expecaons Trump he Gap? Jeremy M. Pger and Rober H. Rasche Workng Paper 006-013A hp://research.slousfed.org/wp/006/006-013.pdf

More information

Time & Distance SAKSHI If an object travels the same distance (D) with two different speeds S 1 taking different times t 1

Time & Distance SAKSHI If an object travels the same distance (D) with two different speeds S 1 taking different times t 1 www.sakshieducaion.com Time & isance The raio beween disance () ravelled by an objec and he ime () aken by ha o ravel he disance is called he speed (S) of he objec. S = = S = Generally if he disance ()

More information

Paul M. Sommers David U. Cha And Daniel P. Glatt. March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO

Paul M. Sommers David U. Cha And Daniel P. Glatt. March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO AN EMPIRICAL TEST OF BILL JAMES S PYTHAGOREAN FORMULA by Paul M. Sommers David U. Cha And Daniel P. Gla March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO. 10-06 DEPARTMENT OF ECONOMICS MIDDLEBURY

More information

Homework 2. is unbiased if. Y is consistent if. c. in real life you typically get to sample many times.

Homework 2. is unbiased if. Y is consistent if. c. in real life you typically get to sample many times. Econ526 Mulile Choice. Homework 2 Choose he one ha bes comlees he saemen or answers he quesion. (1) An esimaor ˆ µ of he oulaion value µ is unbiased if a. ˆ µ = µ. b. has he smalles variance of all esimaors.

More information

REIT Markets and Rational Speculative Bubbles: An Empirical Investigation

REIT Markets and Rational Speculative Bubbles: An Empirical Investigation REIT Markes and Raonal Speculave Bubbles: An Emprcal Invesgaon George A. Waers Asssan Professor Deparmen of Economcs Illnos Sae Unversy Normal, IL 61790-4200 gawaer@lsu.edu 309-438-7301 and James E. Payne

More information

Making Sense of Genetics Problems

Making Sense of Genetics Problems Bio 101 Ms. Bledsoe Making Sense of Geneics roblems Monohbrid crosses Le s sar wih somehing simle: crossing wo organisms and waching how one single rai comes ou in he offsring. Le s use eas, as Mendel

More information

DO BUBBLES AND TIME-VARYING RISK PREMIUMS AFFECT STOCK PRICES? A KALMAN FILTER APPROACH a

DO BUBBLES AND TIME-VARYING RISK PREMIUMS AFFECT STOCK PRICES? A KALMAN FILTER APPROACH a DO BUBBS AD TIM-VARYIG RISK RMIUMS AFFCT STOCK RICS? A KAMA FITR AROACH a Dr. -Tarn Cen, Acaema Snca, Tawan Dr. C. James Hueng, Unversy o Alabama, USA Dr. Cen-u Je n, aonal Tawan Unversy, Tawan ABSTRACT

More information

Using Rates of Change to Create a Graphical Model. LEARN ABOUT the Math. Create a speed versus time graph for Steve s walk to work.

Using Rates of Change to Create a Graphical Model. LEARN ABOUT the Math. Create a speed versus time graph for Steve s walk to work. 2.4 Using Raes of Change o Creae a Graphical Model YOU WILL NEED graphing calculaor or graphing sofware GOAL Represen verbal descripions of raes of change using graphs. LEARN ABOUT he Mah Today Seve walked

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper March 3, 2009 2009 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion by

More information

Betting Against Beta

Betting Against Beta Beng Agans Bea Andrea Frazzn and Lasse Heje Pedersen * Ths draf: February 4, 2013 Absrac. We presen a model wh leverage and margn consrans ha vary across nvesors and me. We fnd evdence conssen wh each

More information

3. The amount to which $1,000 will grow in 5 years at a 6 percent annual interest rate compounded annually is

3. The amount to which $1,000 will grow in 5 years at a 6 percent annual interest rate compounded annually is 8 h Grade Eam - 00. Which one of he following saemens is rue? a) There is a larges negaive raional number. b) There is a larges negaive ineger. c) There is a smalles ineger. d) There is a smalles negaive

More information

THE PERFORMANCE OF ALTERNATIVE INTEREST RATE RISK MEASURES AND IMMUNIZATION STRATEGIES UNDER A HEATH-JARROW-MORTON FRAMEWORK

THE PERFORMANCE OF ALTERNATIVE INTEREST RATE RISK MEASURES AND IMMUNIZATION STRATEGIES UNDER A HEATH-JARROW-MORTON FRAMEWORK THE PERFORMANCE OF ALTERNATIVE INTEREST RATE RISK MEASURES AND IMMUNIZATION STRATEGIES UNDER A HEATH-JARROW-MORTON FRAMEWORK By Şenay Ağca Dsseraon submed o he faculy of Vrgna Polyechnc Insue and Sae Unversy

More information

Shelters. Lean-To Shelte. A-Frame Shelte. The setup for a Lean-To shelter is very similar to an A-Frame shelter.

Shelters. Lean-To Shelte. A-Frame Shelte. The setup for a Lean-To shelter is very similar to an A-Frame shelter. Sheler plac/ fer o a pece of re ly al rm no r oppoed A Shele p wh rope. A ng r g n ee maeral. canva h e o of naral ad m a h y o a bv r A-Frame Shele The mple heler he A-Frame heler. We j e a rope beween

More information

2. Literature Review Theory of Investment behavior

2. Literature Review Theory of Investment behavior Effec of Equy Rsk Facors on he Reurn of Sock Porfolos of Companes Lsed a he Narob Secures Exchange n Kenya Beween 2009 and 2014 Mchael.N. Njogo 1* Edde Smyu 2 Sephen. T. Wahaka 3 Deparmen of Accounng and

More information

Economics 487. Homework #4 Solution Key Portfolio Calculations and the Markowitz Algorithm

Economics 487. Homework #4 Solution Key Portfolio Calculations and the Markowitz Algorithm Economics 87 Homework # Soluion Key Porfolio Calculaions and he Markowiz Algorihm A. Excel Exercises: (10 poins) 1. Download he Excel file hw.xls from he class websie. This file conains monhly closing

More information

Interpreting Sinusoidal Functions

Interpreting Sinusoidal Functions 6.3 Inerpreing Sinusoidal Funcions GOAL Relae deails of sinusoidal phenomena o heir graphs. LEARN ABOUT he Mah Two sudens are riding heir bikes. A pebble is suck in he ire of each bike. The wo graphs show

More information

The Great Recession in the U.K. Labour Market: A Transatlantic View

The Great Recession in the U.K. Labour Market: A Transatlantic View The Grea Recession in he U.K. Labour Marke: A Transalanic View Michael W. L. Elsby (Edinburgh, Michigan, NBER) Jennifer C. Smih (Warwick) Bank of England, 25 March 2011 U.K. and U.S. unemploymen U.K. unemploymen

More information

Economic Growth & Development: Part 3 Horizontal Innovation Models: Applications. By Kiminori Matsuyama. Updated on , 6:12:26 PM

Economic Growth & Development: Part 3 Horizontal Innovation Models: Applications. By Kiminori Matsuyama. Updated on , 6:12:26 PM iminori Masuyama Groh & Develomen Par-3 Economic Groh & Develomen: Par 3 orizonal Innovaion Models: licaions By iminori Masuyama Udaed on 0-04- 6::6 PM Page of 6 iminori Masuyama Groh & Develomen Par-3

More information

CALCULATORS: Casio: ClassPad 300 ClassPad 300 Plus ClassPad Manager TI: TI-89, TI-89 Titanium Voyage 200. The Casio ClassPad 300

CALCULATORS: Casio: ClassPad 300 ClassPad 300 Plus ClassPad Manager TI: TI-89, TI-89 Titanium Voyage 200. The Casio ClassPad 300 The Casio ClassPad 300 CC Edwards 1950 1955 1960 1965 1970 23.0 23.8 24.4 24.5 24.2 1975 1980 1985 1990 1995 24.7 25.2 25.5 25.9 26.3 The able shows how he average age of he firs marriage of Japanese women

More information

Capacity Utilization Metrics Revisited: Delay Weighting vs Demand Weighting. Mark Hansen Chieh-Yu Hsiao University of California, Berkeley 01/29/04

Capacity Utilization Metrics Revisited: Delay Weighting vs Demand Weighting. Mark Hansen Chieh-Yu Hsiao University of California, Berkeley 01/29/04 Capaciy Uilizaion Merics Revisied: Delay Weighing vs Demand Weighing Mark Hansen Chieh-Yu Hsiao Universiy of California, Berkeley 01/29/04 1 Ouline Inroducion Exising merics examinaion Proposed merics

More information

The Yen and The Competitiveness of Japanese Industries and Firms. March 4, 2008 (preliminary draft) Robert Dekle Department of Economics USC

The Yen and The Competitiveness of Japanese Industries and Firms. March 4, 2008 (preliminary draft) Robert Dekle Department of Economics USC 1 The Yen and The Compeveness of apanese Indusres and Frms March 4 2008 prelmnary draf Rober Dekle Deparmen of Economcs USC Kyoj Fukao Insue of Economc Research Hosubash Unversy Prepared for he ESRI Workshop

More information

Lifecycle Funds. T. Rowe Price Target Retirement Fund. Lifecycle Asset Allocation

Lifecycle Funds. T. Rowe Price Target Retirement Fund. Lifecycle Asset Allocation Lifecycle Funds Towards a Dynamic Asse Allocaion Framework for Targe Reiremen Funds: Geing Rid of he Dogma in Lifecycle Invesing Anup K. Basu Queensland Universiy of Technology The findings of he Mercer

More information

Proportional Reasoning

Proportional Reasoning Proporional Reasoning Focus on Afer his lesson, you will be able o... solve problems using proporional reasoning use more han one mehod o solve proporional reasoning problems When you go snowboarding or

More information

Stock Return Expectations in the Credit Market

Stock Return Expectations in the Credit Market Sock Reurn Expecaions in he Credi Marke Hans Bysröm * Sepember 016 In his paper we compue long-erm sock reurn expecaions (across he business cycle) for individual firms using informaion backed ou from

More information

The t-test. What We Will Cover in This Section. A Research Situation

The t-test. What We Will Cover in This Section. A Research Situation The -es 1//008 P331 -ess 1 Wha We Will Cover in This Secion Inroducion One-sample -es. Power and effec size. Independen samples -es. Dependen samples -es. Key learning poins. 1//008 P331 -ess A Research

More information

"Pecos Bill Rides a Tornado" Stages Written by: Striker

Pecos Bill Rides a Tornado Stages Written by: Striker "Pecos Bill Rides a Tornado" Sages Wrien by: Sriker Now everyone in he Wes knows ha Pecos Bill could ride anyhing. No bronco could hrow hi, no sir! Fac is, I only heard of Bill geing' hrowed once in his

More information

Stock (mis)pricing and Investment Dynamics in Africa

Stock (mis)pricing and Investment Dynamics in Africa Sock msprcng and nvesmen Dynamcs n Afrca Sad Aanda Musapha n 273 July 2017 Workng aper Seres Afrcan Developmen Bank Group Workng aper N o 273 Absrac The sudy ascerans he exen of msprcng n equy porfolos

More information

AP Physics 1 Per. Unit 2 Homework. s av

AP Physics 1 Per. Unit 2 Homework. s av Name: Dae: AP Physics Per. Uni Homework. A car is driven km wes in hour and hen 7 km eas in hour. Eas is he posiive direcion. a) Wha is he average velociy and average speed of he car in km/hr? x km 3.3km/

More information

PROGRAM ON HOUSING AND URBAN POLICY

PROGRAM ON HOUSING AND URBAN POLICY Insue of Busness and conomc esearch Fsher Cener for eal sae and Urban conomcs POGAM O OUSIG AD UBA POICY WOKIG PAP SIS WOKIG O. W-7 DGIG OUSIG ISK By Peer nglund Mn wang John M. Qugley December 2 These

More information

Explore Graphs of Linear Relations. 1. a) Use a method of your choice to determine how much water will be needed each day of a seven-day cruise.

Explore Graphs of Linear Relations. 1. a) Use a method of your choice to determine how much water will be needed each day of a seven-day cruise. . Graphing Linear Relaions Focus on Aer his lesson, ou will be able o graph linear relaions mach equaions o linear relaions wih graphs solve problems b graphing a linear relaion and analsing he graph Tina

More information

On Developing Ridge Regression Parameters: A Graphical investigation

On Developing Ridge Regression Parameters: A Graphical investigation Florda Ieraoal Uversy FIU Dgal Commos Dearme of Mahemacs ad Sascs College of Ars, Sceces & Educao 0 O Develog Rdge Regresso Parameers: A Grahcal vesgao Gsela Muz Dearme of Mahemacs ad Sascs, Florda Ieraoal

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION chaper KINEMATICS IN ONE DIMENSION Secion 2.1 Displacemen Secion 2.2 Speed and Velociy 1. A paricle ravels along a curved pah beween wo poins P and Q as shown. The displacemen of he paricle does no depend

More information

Market Timing with GEYR in Emerging Stock Market: The Evidence from Stock Exchange of Thailand

Market Timing with GEYR in Emerging Stock Market: The Evidence from Stock Exchange of Thailand Journal of Finance and Invesmen Analysis, vol. 1, no. 4, 2012, 53-65 ISSN: 2241-0998 (prin version), 2241-0996(online) Scienpress Ld, 2012 Marke Timing wih GEYR in Emerging Sock Marke: The Evidence from

More information

The Impact of Demand Correlation on Bullwhip Effect in a Two-stage Supply Chain with Two Retailers

The Impact of Demand Correlation on Bullwhip Effect in a Two-stage Supply Chain with Two Retailers The Impac of Demand Correlaon on Bullwhp Effec n a Two-age Supply Chan wh Two Realer Janhua J Huafeng Je Zhang and Cucu eng Ana College of Economc and anagemen Shangha Jao Tong Unvery Shangha 0005 Chna

More information

Stages Written by: Striker. Old West Sayings. Always drink upstream from the herd.-- Will Rogers

Stages Written by: Striker. Old West Sayings. Always drink upstream from the herd.-- Will Rogers Sage Wrien by: Sriker Old We Saying Alway drink uprea fro he herd.-- Will Roger If you find yourelf in a hole, he fir hing o do i op digging. -- Will Roger Why hould I obain by force ha which I can obain

More information

Overview. Do white-tailed tailed and mule deer compete? Ecological Definitions (Birch 1957): Mule and white-tailed tailed deer potentially compete.

Overview. Do white-tailed tailed and mule deer compete? Ecological Definitions (Birch 1957): Mule and white-tailed tailed deer potentially compete. COMPETITION BETWEEN MULE AND WHITE- TAILED DEER METAPOPULATIONS IN NORTH-CENTRAL WASHINGTON E. O. Garon, Kris Hennings : Fish and Wildlife Dep., Univ. of Idaho, Moscow, ID 83844 Maureen Murphy, and Seve

More information

Time-Varying Correlations and Optimal Allocation in Emerging Market Equities for Australian Investors: A Study Using East European Depositary Receipts

Time-Varying Correlations and Optimal Allocation in Emerging Market Equities for Australian Investors: A Study Using East European Depositary Receipts Tme-Varyng Correlaons and Opmal Allocaon n Emergng Marke Eques for Ausralan Invesors: A Sudy Usng Eas European Deposary Receps Auhor Gupa, Rakesh, Jhendranahan, Thadavlll Publshed 2008 Journal Tle Inernaonal

More information

Productivity and Competitiveness: The Case of Football Teams Playing in the UEFA Champions League

Productivity and Competitiveness: The Case of Football Teams Playing in the UEFA Champions League Ahens Journal of Spors March 2016 Producvy and Compeveness: The Case of Fooball Teams Playng n he UEFA Champons League By Manuel Espa-Escuer Luca Isabel Garca-Cebran The purpose of hs sudy s o evaluae

More information

Population Trends. US 63 Corridor Performance

Population Trends. US 63 Corridor Performance Conex The corridor rns 7 miles from he Minnesoa-Iowa border soh of Spring Valley o Rocheser. I connecs he ciies of Spring Valley, and Rocheser Crren Characerisics Highway: US 6 2009 AADT: 2,750 9,000 2009

More information

The impact of foreign players on international football performance

The impact of foreign players on international football performance MPRA Munch Personal RePEc Archve The mpact of foregn players on nternatonal football performance Orhan Karaca Ekonomst Magazne, Research Department October 008 Onlne at http://mpra.ub.un-muenchen.de/11064/

More information

Authors: Christian Panzer, Gustav Resch, Reinhard Haas, Patrick Schumacher. Energy Economics Group, Vienna University of Technology

Authors: Christian Panzer, Gustav Resch, Reinhard Haas, Patrick Schumacher. Energy Economics Group, Vienna University of Technology Dervng fuure suppor shemes of RES, y onsderng he os evoluon of RES ehnologes a volale energy and raw maeral pres aompaned y ehnologal learnng mpas Auhors: Chrsan Panzer, Gusav Resh, Renhard Haas, Park

More information

8/31/11. the distance it travelled. The slope of the tangent to a curve in the position vs time graph for a particles motion gives:

8/31/11. the distance it travelled. The slope of the tangent to a curve in the position vs time graph for a particles motion gives: Physics 101 Tuesday Class 2 Chaper 2 Secions 2.1-2.4 Displacemen and disance Velociy and speed acceleraion Reading Quiz The slope of he angen o a curve in he posiion vs ime graph for a paricles moion gives:

More information

Analyzing the Bullwhip Effect in a Supply Chain with ARMA(1,1) Demand Using MMSE Forecasting

Analyzing the Bullwhip Effect in a Supply Chain with ARMA(1,1) Demand Using MMSE Forecasting Inernaona Journa on Advances n Informaon cences and ervce cences Voume Number March Anayzng he Buwhp Effec n a uppy han wh ARMA emand Usng MME Forecasng huanxu Wang choo of Economy and Managemen hangha

More information

FORECASTING TECHNIQUES ADE 2013 Prof Antoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT

FORECASTING TECHNIQUES ADE 2013 Prof Antoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT FORECASTING TECHNIQUES ADE 2013 Prof Anoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT February 2013 MAIN FACTORS CAUSING TRENDS Increases in populaion. Seady inflaion.

More information

What the Puck? an exploration of Two-Dimensional collisions

What the Puck? an exploration of Two-Dimensional collisions Wha he Puck? an exploraion of Two-Dimensional collisions 1) Have you ever played 8-Ball pool and los he game because you scrached while aemping o sink he 8-Ball in a corner pocke? Skech he sho below: Each

More information

Saving Behavior and Cognitive Abilities: Supplementary Materials. T. Parker Ballinger, Eric Hudson, Leonie Karkoviata and Nathaniel T.

Saving Behavior and Cognitive Abilities: Supplementary Materials. T. Parker Ballinger, Eric Hudson, Leonie Karkoviata and Nathaniel T. Saving Behavior and Cogniive Abiliies: Sulemenar Maerials b. Parer Ballinger, Eric Hudson, Leonie Karoviaa and Nahaniel. Wilcox Sulemenar Maerial A: he Income Sreams he hard, moderae and eas ses of income

More information

NoC Impact on Design Methodology. Characteristics of NoC-based design. Timing Closure in Traditional VLSI

NoC Impact on Design Methodology. Characteristics of NoC-based design. Timing Closure in Traditional VLSI NoC Impac on Desgn Mehodology Avnoam Kolodny NoC as Means o Handle Complexy (Oucome of Moore s Law) Prncples for dealng wh complexy: Absracon Herarchy egulary Desgn Mehodology 000 00 Termnals per module

More information

Sudden Stops, Sectoral Reallocations, and Real Exchange Rates

Sudden Stops, Sectoral Reallocations, and Real Exchange Rates Sudden Sops, Secoral Reallocaions, and Real Exchange Raes Timohy J. Kehoe Universiy of Minnesoa Federal Reserve Bank of Minneapolis and Kim J. Ruhl NYU Sern School of Business Wha Happens During a Sudden

More information

INSTRUCTIONS FOR USE. This file can only be used to produce a handout master:

INSTRUCTIONS FOR USE. This file can only be used to produce a handout master: INSTRUCTIONS OR USE This file can only be used o produce a handou maser: Use Prin from he ile menu o make a prinou of he es. You may no modify he conens of his file. IMPORTNT NOTICE: You may prin his es

More information

Chapter : Linear Motion 1

Chapter : Linear Motion 1 Te: Chaper 2.1-2.4 Think and Eplain: 1-3 Think and Sole: --- Chaper 2.1-2.4: Linear Moion 1 NAME: Vocabulary: disance, displacemen, ime, consan speed, consan elociy, aerage, insananeous, magniude, ecor,

More information

APPLYING BI-OBJECTIVE SHORTEST PATH METHODS TO MODEL CYCLE ROUTE-CHOICE ABSTRACT

APPLYING BI-OBJECTIVE SHORTEST PATH METHODS TO MODEL CYCLE ROUTE-CHOICE ABSTRACT Andrea Rah, Chrs Van Houe, Judh Y.T. Wang, and Mahas Ehrgo APPLYING BI-OBJECTIVE SHORTEST PATH METHODS TO MODEL CYCLE ROUTE-CHOICE Andrea Rah 1, Chrs Van Houe 2, Judh Y. T. Wang 3, and Mahas Ehrgo 4 The

More information

RECOMMENDATION FOR INTERCHANGEABLE STUD BOLTS AND TAP END STUDS FOR API SPEC 6A FLANGES

RECOMMENDATION FOR INTERCHANGEABLE STUD BOLTS AND TAP END STUDS FOR API SPEC 6A FLANGES Issue Dae: June 6 15 Revision B June 2010 RECOMMENDAION FOR INERCHANGEABE UD BO AND A END UD FOR AI EC 6A FANGE ECHNICA REOR R501 Revision B AWHEM publicaions may be use by anyone esiring o o so. Every

More information

Avoiding Component Failure in Industrial Refrigeration Systems

Avoiding Component Failure in Industrial Refrigeration Systems Avoiding Componen Failure in Indusrial Refrigeraion Sysems By Tim Kroeger, segmen markeing manager indusrial refrigeraion, Asia Pacific & India The aricle caegorises and gives examples of ypical componen

More information

San Francisco State University ECON 560 Fall Midterm Exam 2. Tuesday, October hour, 15 minutes

San Francisco State University ECON 560 Fall Midterm Exam 2. Tuesday, October hour, 15 minutes San Francisco Sae Universiy Micael Bar ECON 560 Fall 207 Miderm Exam 2 Tuesday, Ocober 3 our, 5 minues Name: Insrucions. Tis is closed book, closed noes exam. 2. No calculaors or elecronic devices of any

More information

A Probabilistic Approach to Worst Case Scenarios

A Probabilistic Approach to Worst Case Scenarios A Probabilisic Approach o Wors Case Scenarios A Probabilisic Approach o Wors Case Scenarios By Giovanni Barone-Adesi Universiy of Albera, Canada and Ciy Universiy Business School, London Frederick Bourgoin

More information

A Critical Analysis of the Technical Assumptions of the Standard Micro Portfolio Approach to Sovereign Debt Management

A Critical Analysis of the Technical Assumptions of the Standard Micro Portfolio Approach to Sovereign Debt Management Please ce hs paper as: Blommesen, H. J. and A. Hubg (2012), A Crcal Analyss of he echncal Assumpons of he Sandard Mcro Porfolo Approach o Soveregn Deb Managemen, OECD Workng Papers on Soveregn Borrowng

More information

PERSONAL VERSION. Readers are kindly asked to use the official publication in references.

PERSONAL VERSION. Readers are kindly asked to use the official publication in references. PSONAL VSION Ths s a so called personal verson auhors s anuscrp as acceped for publshng afer he revew process bu pror o fnal layou and copyedng of he arcle. Bu, H & Vrk, N S 204, ' Lqudy and asse prces:

More information

Zelio Control Measurement Relays RM4L Liquid Level Relays

Zelio Control Measurement Relays RM4L Liquid Level Relays Zelio Conrol Measuremen elays FNCTIONS These devices monior he levels of conducive liquids. They conrol he acuaion of pumps or valves o regulae levels; hey are also suiable for proecing submersible pumps

More information

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z o ffix uden abel ere uden ame chool ame isric ame/ ender emale ale onh ay ear ae of irh an eb ar pr ay un ul ug ep c ov ec as ame irs ame lace he uden abel ere ae uden denifier chool se nly rined in he

More information

BISI Wear Dance Art Clothing. September 10, April 27, 2019

BISI Wear Dance Art Clothing. September 10, April 27, 2019 wwwbs-dancercom Elk Grove Vllage, IL 60007 Meacham Beserfeld) Phone: 8473636398 nfo@bs-dancercom brng shake 19 2018-20! Creave apparel, ye fashonable o DANCE n! We offer BISI dance are from head o oe for

More information

TOPIC 7: MAPPING GENES

TOPIC 7: MAPPING GENES Page 1 OPIC 7: MAPPING GENES MAPPING GENES 7.1: uning Cossove Fequencies ino Maps Making a geneic map compises hee pocesses: 1. Couning he numbe of cossove evens beween wo genes 2. Conveing cossove evens

More information

Wladimir Andreff, Madeleine Andreff. To cite this version: HAL Id: halshs https://halshs.archives-ouvertes.

Wladimir Andreff, Madeleine Andreff. To cite this version: HAL Id: halshs https://halshs.archives-ouvertes. Economc predcon of spor performances from he Bejng Olympcs o he 2010 FIFA World Cup n Souh Afrca: he noon of surprsng sporng oucomes Wladmr Andreff Madelene Andreff To ce hs verson: Wladmr Andreff Madelene

More information

Performance Optimization of Markov Models in Simulating Computer Networks

Performance Optimization of Markov Models in Simulating Computer Networks Proceedings of he World Congress on Engineering and Copuer Science 9 Vol I WCECS 9, Ocober -, 9, San Francisco, USA Perforance Opiizaion of Marov Models in Siulaing Copuer Newors Nisrine Sinno, Hussein

More information

Do Competitive Advantages Lead to Higher Future Rates of Return?

Do Competitive Advantages Lead to Higher Future Rates of Return? Do Compeiive Advanages Lead o Higher Fuure Raes of Reurn? Vicki Dickinson Universiy of Florida Greg Sommers Souhern Mehodis Universiy 2010 CARE Conference Forecasing and Indusry Fundamenals April 9, 2010

More information

Mattaponi Sundowners

Mattaponi Sundowners Maaponi Sundowner STAGES FOR SATURDAY, APRIL 22, 2017 Sage Wrien by: Cody Maverick Sory Line: Anyway he Wind Blow Rider Wrien by David Bryan Recorded by The Marhall Tucker Band Lyric: I go oe oney in y

More information

(I Got Spurs That) Jingle Jangle Jingle lyrics Tex Ritter

(I Got Spurs That) Jingle Jangle Jingle lyrics Tex Ritter Sage Wrien by: Sriker (I Go Spur Tha) Jingle Jangle Jingle lyric Tex Rier Yippee yeah, here'll be no wedding bell for oday! Oh, Lily Bell, oh, Lily Bell, Though I ay have done oe foolin, hi i why I never

More information

R410A Rotary Compressor Bearing Design Considerations

R410A Rotary Compressor Bearing Design Considerations Prde Universiy Prde e-pbs Inernaional Compressor Engineering Conference School of Mechanical Engineering 1998 R41A Roary Compressor Bearing Design Consideraions J. R. Lenz Tecmseh Prodcs Company Follow

More information

Type Control action Setpoint range Air Weight Volume flow % capacity I n /h kg. Pressure diff. 1) Pa

Type Control action Setpoint range Air Weight Volume flow % capacity I n /h kg. Pressure diff. 1) Pa 7.0/ RL 0 & 0: neumaic volume-flow conroller Used in conjuncion wih an orifice plae or a dnamic pressure sensor and a pneumaic damper drive for conrolling he air volume in air-condiioning ssems. For fixed,

More information

Lessons Learned from Nesting Male Bluegills

Lessons Learned from Nesting Male Bluegills Lessons Learned from Nesing Male Blegills by Donna Abler, Mark Kaemingk, & Dave Willis.Le'salk blegill! Sch fn and sefl creares, righ? Js focs on he recreaional vale of hese fish for a second. Blegills

More information

Macro Sensitive Portfolio Strategies

Macro Sensitive Portfolio Strategies Marke Insigh Macro Sensiive Porfolio Sraegies Marke Insigh Macro Sensiive Porfolio Sraegies Macroeconomic Risk and Asse Cash Flows Kur Winkelmann, Raghu Suryanarayanan, Ludger Henschel, and Kaalin Varga

More information

The Effects of Systemic Risk on the Allocation between Value and Growth Portfolios

The Effects of Systemic Risk on the Allocation between Value and Growth Portfolios Journal of Mahemaical Finance, 013, 3, 165-180 hp://x.oi.org/10.436/mf.013.31a016 Publishe Online March 013 (hp://www.scirp.org/ournal/mf) The Effecs of Sysemic Risk on he Allocaion beween Value an Growh

More information

Chapter / rev/min Ans. C / in. C mm Ans teeth Ans. C / mm Ans.

Chapter / rev/min Ans. C / in. C mm Ans teeth Ans. C / mm Ans. Chaper 13 13-1 dp 17 / 8 15 in N 110 dg dp 15 4375 in N3 544 NG PdG 84375 35 eeh C 15 4375 / 35 in Ans Ans ng 1600 15 / 60 400 rev/min Ans p m 3 mm Ans C 3 15 60 115 mm Ans 13-13-3 N G 16 4 64 eeh Ans

More information

CHAPTER TEST REVIEW, LESSONS 4-1 TO 4-5

CHAPTER TEST REVIEW, LESSONS 4-1 TO 4-5 IB PHYSICS Name: DEVIL PHYSICS Perio: Dae: BADDEST CLASS ON CAMPUS CHAPTER TEST REVIEW, LESSONS 4- TO 4-5 S. Waer waves a he surface of a pon pass a floaing log of lengh L. The log is a res relaive o he

More information

Geometrical Description of Signals GEOMETRICAL DESCRIPTION OF SIGNALS. Geometrical/Vectorial Representation. Coder. { } S i SOURCE CODER RECEIVER

Geometrical Description of Signals GEOMETRICAL DESCRIPTION OF SIGNALS. Geometrical/Vectorial Representation. Coder. { } S i SOURCE CODER RECEIVER UNIVERIÀ DEGLI UDI DI CAGLIARI Unversà degl ud d Cglr Corso d Lure Mgsrle n Ingegner Eleronc e delle elecomunczon UNIVERIÀ DEGLI UDI DI CAGLIARI Geomercl Descrpon of gnls n( { } OURCE CODER RECEIVER GEOMERICAL

More information

WATER COILS SHOULD BE ORDERED WITH FNPT 1/2" FITTINGS, OTHERWISE ADAPTERS (BY OTHERS) ARE REQUIRED

WATER COILS SHOULD BE ORDERED WITH FNPT 1/2 FITTINGS, OTHERWISE ADAPTERS (BY OTHERS) ARE REQUIRED OE: WAER COLS SHOLD BE ORDERED WH FP 1/2" FGS, OHERWSE ADAPERS (BY OHERS) ARE REQRED SH: SGLE HOSE - O 1/2" P (MALE) HOSE COECO DH: DOBLE HOSE - O HEADER SPPLY RER 1/2" P (MALE) HOSE COECO OE: HOSE KS

More information

Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation

Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation Can Economic Pressure Overcome Social Norms? The Case of Female Labor Force Participation Ana Rute Cardoso Louis-Philippe Morin September 2018 Barcelona GSE Working Paper Series Working Paper nº 1051 fp

More information

Name Class Date. Step 2: Rearrange the acceleration equation to solve for final speed. a v final v initial v. final v initial v.

Name Class Date. Step 2: Rearrange the acceleration equation to solve for final speed. a v final v initial v. final v initial v. Skills Workshee Mah Skills Acceleraion Afer you sudy each sample problem and soluion, work ou he pracice problems on a separae shee of paper. Wrie your answers in he spaces provided. In 1970, Don Big Daddy

More information

CMA DiRECtions for ADMinistRAtion GRADE 6. California Modified Assessment. test Examiner and Proctor Responsibilities

CMA DiRECtions for ADMinistRAtion GRADE 6. California Modified Assessment. test Examiner and Proctor Responsibilities CMA 2012 California Modified Assessmen GRADE 6 DiRECions for ADMinisRAion es Examiner and Procor Responsibiliies Compleing all of he following seps will help ensure ha no esing irregulariies occur, ha

More information

Capital Asset Pricing Model and Arbitrage Pricing Theory

Capital Asset Pricing Model and Arbitrage Pricing Theory Aarhus School of Business M. Sc. of Finance and Inernaional Business Dearmen of Finance Fuglesangs Allé 4 DK-821 Aarhus V Maser Thesis Caial Asse Pricing Model and Arbirage Pricing Theory An alicaion of

More information

Substitution of Energy and Capital an Its Uncertainty for China

Substitution of Energy and Capital an Its Uncertainty for China Substitution of Energy and Capital an Its Uncertainty for China Zhaoning ZHENG Research Center of Contemporary Management Global Climate Change Institute School of Public policy and management Tsinghua

More information

PENALIZED LOGISTIC REGRESSION TO ASSESS NFL QUARTERBACK PERFORMANCE

PENALIZED LOGISTIC REGRESSION TO ASSESS NFL QUARTERBACK PERFORMANCE PENALIZED LOGISTIC REGRESSION TO ASSESS NFL QUARTERBACK PERFORMANCE 4/26/2016 Abstract [Draw your reader in with an engaging abstract. It is tyically a short summary of the document. When you re ready

More information

Betting Against Beta

Betting Against Beta Being Agains Bea Andrea Frazzini and Lasse H. Pedersen * This draf: Ocober 5, 2010 Absrac. We presen a model in which some invesors are prohibied from using leverage and oher invesors leverage is limied

More information

Mattaponi Sundowners

Mattaponi Sundowners Maaponi Sundowner STAGES FOR SATURDAY, February 25, 2017 Sage Wrien by: Cody Maverick Sory Line: Sage Convenion SASS STAGE CONVENTIONS Fro Shooer Handbook v22.3 Sage Convenion, or andard range behavior,

More information

THE REMOVAL OF ONE-COMPONENT BUBBLES FROM GLASS MELTS IN A ROTATING CYLINDER

THE REMOVAL OF ONE-COMPONENT BUBBLES FROM GLASS MELTS IN A ROTATING CYLINDER Orgnal papers THE REMOVAL OF ONE-COMPONENT BUBBLES FROM GLASS MELTS IN A ROTATING CYLINDER LUBOMÍR NÌMEC, VLADISLAVA TONAROVÁ Laboraory of Inorganc Maerals, Jon Workplace of he Insue of Chemcal Technology

More information

Mattaponi Sundowners. The History of Father s Day in the United States

Mattaponi Sundowners. The History of Father s Day in the United States Maaponi Sundowners STAGES FOR SUNDAY, JUNE 17 2018 Sages Wrien by: Cody Maverick Sory Line: The Hisory of Faher s Day in he Unied Saes There are wo sories of when he firs Faher s Day was celebraed. According

More information

3.10 Convected Coordinates

3.10 Convected Coordinates Seco.0.0 Coveced Coordaes Some of he mpora resuls from secos.-.9 are ow re-epressed erms of coveced coordaes. As before, ay relaos epressed symbolc form hold also he coveced coordae sysem..0. The Sress

More information

Measuring Potential Output and Output Gap and Macroeconomic Policy: The Case of Kenya

Measuring Potential Output and Output Gap and Macroeconomic Policy: The Case of Kenya Universiy of Connecicu DigialCommons@UConn Economics Working Papers Deparmen of Economics Ocober 2005 Measuring Poenial Oupu and Oupu Gap and Macroeconomic Policy: The Case of Kenya Angelica E. Njuguna

More information

Centre Annual Re-Accreditation

Centre Annual Re-Accreditation Centre Annual Re-Accreditation Imortant note: This is an editable PDF document, and should be comleted electronically. Please add as much detail as ossible as you are not limited by the size of the resonse

More information

67.301/1. RLP 10: Pneumatic volume-flow controller. Sauter Components

67.301/1. RLP 10: Pneumatic volume-flow controller. Sauter Components 7.0/ RL 0: neumaic volume-flow conroller How energ efficienc is improved For demand-led conrol of he air volume in office rooms. Areas of applicaion Conrol of he suppl and exhaus air of individual rooms

More information

Prepared by: Candice A. Churchwell, Senior Consultant Aimee C. Savage, Project Analyst. June 17, 2014 CALMAC ID SCE0350

Prepared by: Candice A. Churchwell, Senior Consultant Aimee C. Savage, Project Analyst. June 17, 2014 CALMAC ID SCE0350 Execuive Summary: 2014 2024 Demand Response Porfolio of Souhern California Edison Company Submied o Souhern California Edison Co. Submied by Nexan, Inc. June 17, 2014 CALMAC ID SCE0350 Prepared by: Candice

More information

Predicting Genotypes

Predicting Genotypes Name: Preicing Genoypes ae: Perio: Preic he genoypes of each se of parens base on he phenoypes of he parens an offspring. Assume ha all possible phenoypes for he offspring are shown. Preic he mos likely

More information

Math Practice Use Clear Definitions

Math Practice Use Clear Definitions Prllel Lines nd Trnsversls How cn you descrie ngles formed y rllel lines nd rnsversls? Trnsverse When n ojec is rnsverse, i is lying or exending cross somehing ACTIVITY: A Proery of Prllel Lines Work wih

More information

Strategic Decision Making in Portfolio Management with Goal Programming Model

Strategic Decision Making in Portfolio Management with Goal Programming Model American Journal of Operaions Managemen and Informaion Sysems 06; (): 34-38 hp://www.sciencepublishinggroup.com//aomis doi: 0.648/.aomis.0600.4 Sraegic Decision Making in Porfolio Managemen wih Goal Programming

More information

LSU RISK ASSESSMENT FORM Please read How to Complete a Risk Assessment before completion

LSU RISK ASSESSMENT FORM Please read How to Complete a Risk Assessment before completion Please read How o Complee a Risk Assessmen before compleion EVENT OR ACTIVITY BEING RISK ASSESSED (add name of even where relevan) NAME OF DEPARTMENT Squad Training Neball DATE OF COMPLETION OF RISK ASSESSMENT

More information