Equity Risk Premium and Regional Integration
|
|
- Quentin Sherman
- 5 years ago
- Views:
Transcription
1 Equy Rsk Premum and Regonal Inegraon Mohamed El Hed Arour, Chrsophe Raul, Frédérc Teulon To ce hs verson: Mohamed El Hed Arour, Chrsophe Raul, Frédérc Teulon. Equy Rsk Premum and Regonal Inegraon <hal > HAL Id: hal hps://hal.archves-ouveres.fr/hal Submed on 7 Mar 013 HAL s a mul-dscplnary open access archve for he depos and dssemnaon of scenfc research documens, wheher hey are publshed or no. The documens may come from eachng and research nsuons n France or abroad, or from publc or prvae research ceners. L archve ouvere plurdscplnare HAL, es desnée au dépô e à la dffuson de documens scenfques de nveau recherche, publés ou non, émanan des éablssemens d ensegnemen e de recherche franças ou érangers, des laboraores publcs ou prvés.
2 Equy Rsk Premum and Regonal Inegraon Mohamed El Hed Arour CRCGM-Unversé d Auvergne & EDHEC Busness School Mohamed.Arour@edhec.edu Chrsophe Raul BEM Bordeaux Managemen School chraul@homal.com Frédérc Teulon IPAG Busness School, IPAG Lab f.eulon@pag.fr Absrac Ths arcle conrbues o he leraure on sock marke negraon by developng and esmang a capal asse prcng model wh segmenaon effecs n order o assess sock marke segmenaon and s effecs on rsk prema a he regonal level. We show ha he esmaed degrees of segmenaon vary from one regon o anher and over me. Moreover, we esablsh ha compared o developed marke regons, emergng marke regons have four man dssmlares: he oal rsk premums are sgnfcanly hgher, more volale, domnaed by regonal resdual rsk facors and reflec mosly regonal evens. However, n he recen perod emergng marke regons have become less segmened as a resul of lberalzaon and reforms and he relave magnude of he premum assocaed wh global facors has ncreased. JEL classfcaon: G15, F36, C3. Keywords: Asse Prcng, Regonal Inegraon, Equy Rsk Premum. 1
3 1- Inroducon Compared o prevous works on sock marke negraon, hs arcle has a leas wo conrbuons o he fnance leraure. Frs, we exend avalable heorecal capal asse prcng models (CAPM) for parally negraed markes n order o propose a model ha assesses sock marke negraon a regonal level raher han counry level. Second, we nvesgae he effecs of changes n marke segmenaon on rsk prema by dsngushng he relave conrbuons of global rsk facors and resdual regonal rsk facors. I s now well documened ha deermnng he exen o whch a naonal marke s negraed no he world sock marke s a queson whch has a decsve mpac on a number of ssues affecng problems ha are addressed by fnance heory such as asse prcng and corporae capal budgeng decsons. If capal markes are fully negraed, nvesors face common and specfc rsks, bu prce only common rsk facors because specfc rsk s fully dversfed nernaonally. In hs case, he same asse prcng relaonshps apply n all counres and regons and expeced reurns should be deermned solely by global rsk facors. In conras, when capal markes are segmened he asse prcng relaonshp vares from one counry or regon o anoher and domesc rsk facors deermne expeced reurns. When capal markes are parally segmened, nvesors face boh common and specfc rsks and prce hem boh. In hs case, expeced reurns should be deermned by a combnaon of local, regonal and global rsk sources (Karoly & Sulz, 00; Kearney & Lucey, 004). Sock marke negraon dynamc s affeced by boh nsuonal and behavoral facors. Frs, fnancal negraon s a resul of economc, nsuonal and polcal reform. In parcular, negraon depends on he ably of global nvesors o access domesc secures as well as he ably of domesc nvesors o access foregn nvesmen opporunes. In fac, access o worldwde nernaonal nvesmen opporunes and homemade dversfcaon ncrease he exposon of domesc asses o global rsk facors and herefore mprove he domesc or regonal sock marke negraon level. Second, behavoral facors such as rsk averson, relave opmsm, and nformaon percepon may also affec he desre o nves abroad and hus marke negraon. In recen decades, barrers o foregn nvesmen have been removed, counry funds have been nroduced and Amercan deposory receps have been lsed n order o
4 develop fnancally negraed sock markes. In fac, a move owards negraed sock markes should lead o a lower cos of capal, greaer nvesmen opporunes, and hgher savngs and growh made possble by nernaonal rsk sharng (Sulz, 1999; Bekaer & Harvey, 003; Carrer e al., 007). Ths process of sock marke negraon s complex, gradual and akes years (Bekaer & Harvey, 1995). Mos naonal and regonal sock markes should be beween he heorecal exremes of src segmenaon (negraon zero) and perfec negraon; n oher words hey are parally negraed. Therefore, assessng he degree of marke negraon s a purely emprcal queson ha can appropraely be addressed only whn he conex of an nernaonal capal asse prcng model. In he fnance leraure, here are heorecal domesc asse prcng models n whch s assumed ha markes are srcly segmened (Sharpe, 1964; Ross, 1976) and heorecal nernaonal asse prcng models n whch s assumed ha markes are perfecly negraed (Adler & Dumas, 1983; Solnk, 1983). However, here are no heorecal nernaonal asse prcng models for parally segmened markes, excep hose developed n he ven of Sulz (1981) and Errunza and Losq (1985) and Arour e al. (01). There are, neverheless, several emprcal models of paral segmenaon ncludng Bekaer and Harvey (1995), Adler and Q (003), Hardouvels e al. (006), Carrer e al. (007), Arour e al. (010), Lucey and Muckley (011) and Gupa and Gud (01). These models offer a pure economerc combnaon of local and global rsk facors and aemp ad-hoc ess of marke negraon. Moreover, a he bes of our knowledge, all prevous works nvesgae marke negraon a he ndvdual counry level. Our arcle conrbues o hese prevous works n wo ways. Frs, we develop an nernaonal condonal capal asse prcng model wh segmenaon effecs n order o assess he degree of segmenaon and denfy he deermnans of rsk premum and measure her conrbuon o he formaon of he oal premum. Our model allows for dfferen marke srucures (perfec negraon, src segmenaon and paral negraon). Second, we propose a suable economerc framework usng a mulvarae GARCH-n-Mean mehodology and esmae our model a he regonal level raher han he ndvdual counry level. Indeed, lle aenon has been pad o he dynamcs of he negraon of emergng marke regons no he world marke. However, regonal cooperaon has been nensfed n recen years and regonal negraon has now become an undenable rend hanks o s heorecal expeced advanages. Regonal 3
5 negraon may offer o naonal emergng sock markes ways o overcome some of he obsacles consranng her developmen. Possble benefs assocaed wh regonal negraon of exchanges are more possbles of dversfcaon of rsks n more effcen and compeve markes, and lower coss. By poolng he resources of fledglng and fragmened capal markes, regonalzaon could boos lqudy and he ably of hese markes o moblze local and nernaonal capal for prvae-secor and nfrasrucural developmen. Invesors would gan access o a broader range of shares; ssuers would gan access o a larger number of nvesors. There may also be a role for a well-funconng regonal exchange n prevenng large capal ouflows from he regon. Moreover, progress oward negraon of capal markes on a regonal bass may acually help spur acceleraed economc negraon goals n oher areas. For example, he harmonzaon of sock marke regulaons and radng pracces ha would accompany any regonalzaon of exchanges could deepen regonal negraon more broadly n polcy areas such as axaon, accounng sandards, corporae governance, and legal pracces. The res of he arcle s organzed as follows. Secon nroduces he model and he emprcal mehodology. Secon 3 dscusses he relaed prevous works. Secon 3 presens he daa and dscusses our maor emprcal resuls. Concludng remarks and fuure exensons are n secon 4. - The model and emprcal mehodology.1- The model Unlke prevous works, our dea s no o mpose a parcular form of segmenaon such as a ax or anoher explc barrer o nernaonal nvesmens and derve effecs on equlbrum asse reurns (Black, 1974; Sulz, 1981; Errunza & Losq, 1985; Cooper & Kaplans, 000). We raher assume smply ha some global nvesors do no wan and/or do no have access o foregn asses as a resul of explc and/or mplc barrers on nflows and/or ouflows, barrers whch may make markes parally segmened. The avalable heorecal and emprcal models mposng a parcular form of segmenaon can be vewed as parcular cases of our general model. 4
6 Consder a world wh c regons 1 and l 1 ypes of nvesors. Because of drec and/or ndrec barrers, we assume ha nvesors of ype ( 0,1,, l ) have no access/or do no wan o access o k ( k c 0 ) asses,.e. nvesors of ype access o c asses; hey a leas access o he asses of her regon f her regon s srcly k segmened. Denoe by D be he (( c k ) 1) vecor of nvesor s amoun (expressed n he reference counry currency) nvesed n he c rsky asses o whch nvesors of ype k access. We can wre hs demand as a ( c 1) vecor by seng D J D, where J s a c ( c k )) marx equal o he c k ) ( c k )) deny marx augmened by ( (( k zero-lnes correspondng o he k naonal asses o whch nvesors have no access. Le be he (( c k ) ( c k )) varance-covarance marx of he c k asses o whch nvesors of ype have access and E (R ) he (( c k ) 1) vecor of expeced reurns on hese asses. The maxmsaon of he uly of nvesors subec o her budge consrans leads o he followng demand funcon: 1 1 D ( E ( R ) r1) where represens he rsk averson coeffcen. (1) Denoe by l n he number of nvesors of ype, n n 0 he oal number of nvesors, and S s, s,, s ) he supply of he c rsky asses. Aggregang he ( 1 c demand of asses by all nvesors and equalzng oal demand and oal supply lead o he followng expresson for he expeced excess reurn on he rsky asses: l n 1 E ( R ) r1 [ n n 0 1 J 1 J ] S () 1 For smplcy, we consder one rsky asse from each regon. However, he number of suded asses does no affec our fnal resuls. Suppose for smplcy ha k
7 Compared o he radonal model, equaon () shows ha because regons are no compleely negraed as nvesors do no access all rsky asses, he oal supply S s replaced n he equlbrum valuaon relaon by an adused supply funcon: 1 l 0 n 1 1 J J ] S n [. Therefore, nvesors are subec o an alered world marke porfolo. The radonal nernaonal CAPM connues o hold wh regard o hs alered porfolo bu does no hold wh regard o he acual world marke porfolo. By conras, f regons were perfecly negraed and nvesors had access o all asses, he supply funcon would be equal o S and he radonal CAPM wll hold wh regard o he acual world marke porfolo. The greaer he segmenaon of he marke, he greaer he dfference from S of he supply funcon used n he equlbrum valuaon relaon. Equaon () can be smplfed as follows: E R r ( ) 1 S n n l 1 n S (3) where l n n [1 ][ I J J ] I. 1 n Le C S 1 be he world marke capalzaon expressed n he reference counry S currency and be he vecor of proporons of he c rsky asses n he world sock C marke. Mulply equaon (3) by he vecor of capalsaons ( ), we oban he expresson of he reurn on he world marke E ( R w ) E ( R ) : l E R w ) r wc n w C n n 1 ( (4) where. By subsung (4) no (3), we oban: 6
8 7 ] [ ) ( 1 ) ) ( ( 1 ) ( 1 1 w w w l l w r R E n n r R E r R E (5) Whch can fnally leads o our asse prcng model for parally negraed regons: d R w r E r R E ) ) ( ( 1 ) ( (6) where l l n n s a parameer reflecng he nernaonal sock marke srucure. When marke segmenaon s weak and he number of consraned nvesors s nsgnfcan, 0. The erm ] [ w d measures he regonal rsk unrelaed o nernaonal porfolo marke. In perfecly negraed markes, hs rsk s no rewarded because s elmnaed by nernaonal porfolo dversfcaon. However, equaon (6) says ha because of sock marke segmenaon a par of hs regonal rsk s nernaonally prced. We call hs par undversfable regonal rsk whch, as shown by equaon (6), s measured by d V. More neresng, equaon (6) shows also ha he prce of hs nernaonal undversfable regonal rsk s equal o he world prce of marke rsk ( ). In oher words, hs rsk s ranslaed no a rsk premum comparable o ha requred on world marke rsk. For a parcular domesc regon, equaon (6) can wren as follows: w R R Cov r R E ), ( ) ( (7) where w s he regonal rsk unexplaned by he model..-the emprcal mehodology Under raonal expecaons, equaon (6) can be wren as follows:
9 R w r Cov ( R, R / ) ( ) (8) 1 where 1 s he se of nformaon avalable o nvesors a me (-1). measures he proporon of regonal rsk unexplaned by he model ( ) nernaonally prced because of marke segmenaon. Inuvely, can be seen as a measure of sock marke segmenaon and should vary beween 0 and 1 dependng on regonal and nernaonal marke srucures. Economercally, equaon (8) can be ranslaed as follows: R w r h h (9) where hw h h hw, h s he emprcal measure of he covarance of he marke and he marke and h s he varance of marke. s a parameer beween 0 and 1 measurng he degree of segmenaon of regon no he world marke. If 0, he regon s perfecly negraed and hus only global rsk s prced. The more rses, he more he conrbuon of he undversfable regonal rsk ncreases and he less marke s negraed. On he oher hand, equaon (9) has o hold for every asse ncludng he marke porfolo. For an economy wh c regons, he followng sysem of prcng resrcons has o be sasfed a any pon n me: R H r 1 h c C C aa * * q 1 1 bb * H / 1 1 ~ 0, where q D H h N * h N / h NN, and R denoes he c 1 vecor ha ncludes c 1 rsky asses and he world marke porfolo. s he c c condonal covarance marx of asse reurns, (10) h N s he N h column of composed of he condonal covarance of each asse wh he marke porfolo and h NN he condonal varance of he world marke porfolo. s he c 1 vecor of parameers, q s he c 1 vecor on undversfable domesc rsk, D he dagonal componens n H 8
10 and * denoes he Hadamard marx produc. The dynamcs of condonal momens are specfed by he dagonal mulvarae parsmonous GARCH process orgnally proposed by Dng and Engle (1994) and hen generalzed by De Sans and Gérard (1997) o accommodae he GARCH-n-Mean effecs. C s a c c lower rangular marx and a and b are c 1 vecors of unknown parameers. To avod ncorrec nferences semmng from he msspecfcaon of he condonal densy of asse reurns he quas-maxmum lkelhood (QML) approach of Bollerslev and Wooldrdge (199) s used o esmae equaon (10). The Smplex algorhm s used o nalze he process, hen he esmaon s performed usng he BFGS algorhm. 3- Daa and emprcal resuls 3.1- Daa In hs sub-secon, we nroduce he daa we use n our emprcal nvesgaon and show ha he daa conan feaures ha can be capured wh a GARCH model. As he am of hs arcle s o examne sock marke negraon a he regonal level, we use monhly reurns on regonal sock ndces for egh regons (4 emergng regons: Emergng Markes ASIA, Emergng Markes Europe, Emergng Markes Far-Eas, Emergng Markes Lan Amerca; and 4 developed regons: Europe, Norh Amerca, Pacfc and AEFE (Europe, Ausralasa and Far-Eas)), as well as a value weghed world marke ndex. The sample covers he perod from January 1988 o Sepember 01. All he ndces are obaned from Morgan Sanley Capal Inernaonal (MSCI) and nclude boh capal gans and dvdend yelds. Reurns are compued n excess of he 30-day Eurodollar depos rae obaned from DaaSream and expressed n Amercan dollar. Descrpve sascs for he excess reurns are repored n Table 1. Table 1 reveals a number of neresng facs. Frsly, he relave behavor of emergng regon marke reurns s smlar o ha repored n pas leraure: volaly s hgh, bu reurns are no necessary large. Lan Amerca has he hghes reurns and Pacfc he lowes ones. Lan Amerca has he hghes rsk and Norh Amerca he lowes one. Secondly, he Bera-Jarque es sasc srongly reecs he hypohess of normally dsrbued reurns, whch suppors our decson o use QML o esmae and 9
11 es he model. Moreover, here s some evdence of reurn predcably usng prevous excess reurns n emergng marke regons. Fnally, he ARCH es shows sgnfcan ARCH effecs n mos cases. 3.- Emprcal resuls We proceed n hree seps. Frs, we presen he model esmaes and compue some specfcaon ess. Second, we analyse he mpled segmenaon degrees. Fnally, we examne he conrbuon of regonal rsk o oal rsk premum. Model esmaon Snce heory predcs ha he world prce of rsk should be he same for each regon (Harvey, 1991), we proceed n wo seps. Frsly, we esmae he world equaon of he sysem (10). Ths provdes us wh esmaes of he world prce of rsk and of he coeffcens of he me-varyng world varance. We hen mpose hese esmaes n he regon esmaons of sysem (10). Ths sraegy s also used by Bekaer and Harvey (1995), Hardouvels e al. (006), Carrer e al. (007) and Arour e al. (01) who noe ha a wo-sep procedure has he drawback of ncludng samplng error from he frs sep bu s more n lne wh he heory and produces more powerful ess. Resuls are summarzed n Table. World marke resuls Panel A of Table repors he resuls for he world marke porfolo. The sysem esmaed s he followng: R h w r h c a w 1 b h 1 / 1 ~ 0, h (11) Meron (1980) and Adler and Dumas (1983) show he prce of world marke rsk o be equal o he world aggregae rsk averson coeffcen. Snce mos nvesors are rsk averse, he prce of rsk mus be posve. Our esmaon resuls show ha he average prce of world marke rsk s equal o.85 and s sgnfcan, whch s conssen wh he fndngs of earler sudes. Moreover, here s srong evdence ha he world marke varance dynamcs follow a GARCH process. The sandardzed resduals show no 10
12 sgnfcan auocorrelaons and he ARCH effec presen n world marke reurns has been suffcenly capured by he model. Regon per regon resuls Panel B of Table conans regon per regon parameer esmaes and a number of dagnosc ess for our model. The ARCH and GARCH coeffcens are sgnfcan for all regons. Ths s n lne wh prevous resuls n he leraure. The coeffcens a are relavely small, whch ndcaes ha condonal volaly does no change very rapdly. However, he coeffcens b are large, ndcang gradual flucuaons over me. Dagnoscs of sandardzed resduals 3 show ha all ndces of kuross and he Bera-Jarque sascs are mproved relave o he raw reurns of Table 1. The nonnormaly n he daa s hen reduced n all cases and he hypohess of normaly of resdual seres s acceped n 4 ou of 8 cases: EM Asa, EM Far Eas, AEFE and Norh Amerca. There are no ARCH effecs n he resdual seres for all regons no resdual auocorrelaons n mos cases. Therefore, he performed esmaon suffcenly elmnaed he non-normaly and auocorrelaon observed n he daa. Taken ogeher, our resuls sugges ha he specfcaon we use s flexble enough o capure he dynamcs of he condonal frs and second momens. Segmenaon analyss Panel A of Table 3 conans nformaon regardng he esmaed degrees of segmenaon from he prevous model repored n Table. The degree of segmenaon should be zero under complee negraon and ncreases wh segmenaon. As mos emergng regons have known an ncreasng lberalzaon movemen snce he end of nnees (Bekaer e al., 00, 003, 005), we repor sascs on he esmaed segmenaon degrees for he enre perod as well as for wo subperods: 1988: :1 & 000:01-01:09. Over he enre perod, he degrees of segmenaon vary from 0.04 for AEFE o 0.39 for EM Europe. As expeced, emergng marke regons are clearly more segmened form he world marke han developed marke regons. Among developed regons, Pacfc s he mos segmened wh a degree of segmenaon of s In he mulvarae framework, he on sandardzed resduals are gven by H. 1 11
13 Over he subperod 1988: :1, he esmaed degrees of segmenaon are hgh n mos cases and range from 0.46 (EM Far Eas) o 0.64 (EM Europe) for emergng marke regons and from 0.06 (AEFE) o 0.3 (Norh Amerca) o developed regons. Over he second subperod 000:01-01:09, all suded regons have become less segmened no he world marke. Ths resul corroboraes our apror expecaons based on he gradual lfng of foregn ownershp resrcons, general lberalzaon of capal markes, ncreased avalably of ADRs and counry funds, beer nformaon and nvesor awareness. Lan Amerca becomes he mos negraed emergng regon wh an esmaed degree of segmenaon of only The esmaed degree of segmenaon decreases o 0.0 for EM Asa and EM Europe and 0.1 for EM Far-Eas. As for he suded developed marke regons, he esmaed degrees of segmenaon are very weak over hs sub-perod excep for Pacfc (0.16). Overall, our fndngs are close o hose obaned by Gerard e al. (003) and Chelley-Seeley (004) for Asan emergng markes, Barar (004) for Lan Amercan markes, Voronkova (004) for European emergng markes, and Aggarwal and Kyaw (005) for he NAFTA regon. Rsk Premum Analyss We have shown ha mos regons are no compleely negraed no he world marke. Thus, regonal rsk plays a sascally sgnfcan role n deermnng he equlbrum value of asse reurns, especally n emergng marke regons. In hs subsecon, we assess he economc mporance of he premum assocaed wh regonal rsk facors. To hs end, we decompose he oal premum no wo rsk premums: global and regonal: Toal premum: TP h w h Global premum: GP h w Regonal premum: RP h 1 Panel B of Table 3 summarzed he obaned resuls. Emergng marke regons show sgnfcanly hgher esmaed rsk prema han developed marke regons. Over he enre perod, he annualzed esmaed oal rsk prema range from 6.9% (AEFE) o 1
14 15.51% (Lan Amerca). Regonal rsk premum s he mos mporan componen of oal rsk premum n all emergng markes regons whle s conrbuon o oal prema s weak for developed marke regons. The mporance of he regonal premum vares from a regon o anoher dependng on s degree of segmenaon and he quany of s rsk undversfable nernaonally. Toal rsk prema n developed regons are essenally deermned by he world marke rsk as expeced gven her low levels of segmenaon. When we he compare he subperods 1988: :1 and 000:01-01:09, one sees ha he role of regonal rsk facors n deermnng oal rsk prema remans mporan bu has sgnfcanly decreased. Ths resul s expeced because we have shown ha segmenaon has decreased for all suded regons. Thus, a he end of our sample global premum sared o play a more sgnfcan role n he oal rsk premum for all suded regons and s wegh as percenages of he absolue oal prema have ncreased. These resuls sugges ha global facors are playng an ncreasng role n prcng emergng marke regons. However, here are some mporan cross-regon varaons n he relave sze and dynamcs of global versus local rsk prema. To sum up, our fndngs sugges ha because of marke segmenaon, he rsk premum assocaed wh he regonal rsk undversfable nernaonally s a sascally and economcally sgnfcan componen of he oal rsk premum for all he emergng marke regons we sudy. In mos cases, he relave mporance of hs rsk premum has decreased n recen years. The well negraed marke regons dffer from emergng marke regons n wo maor respecs: he oal rsk premums are sgnfcanly smaller and domnaed by global facors and nernaonal evens. 4- Concluson In hs arcle, we developed a capal asse prcng model n order o assess sock segmenaon and s effecs on rsk prema a he regonal level. We assume smply ha some global nvesors from dfferen regons do no wan and/or canno have access o foregn asses as a resul of explc and/or mplc barrers on nflows and/or ouflows, a suaon ha may make sock markes parally segmened. We derve a general model ha enables us o prce asses n dynamc nermedae marke srucures where markes are no n he exreme saes of perfec negraon or complee segmenaon. We use a mulvarae GARCH-n-Mean specfcaon o apply hs model for egh regons: 4 13
15 emergng marke regons and 4 developed marke regons over he perod 1988:01-01:09. Our man fndngs show ha he degree of sock marke segmenaon changes over me and ha mos suded marke regons have become less segmened n he recen perod as a resul of lberalzaon and reforms. Our resuls also show ha because of marke segmenaon, he rsk premum assocaed wh he regonal resdual rsk undversfable nernaonally s he mos sascally and economcally sgnfcan componen of he oal rsk premum for all he suded emergng marke regons and ha he oal rsk premum reflecs manly regonal evens. However, he share of he premum assocaed wh global facors has ncreased n recen years ndcang a hgher degree of marke negraon and hgher sensvy o world evens. By comparson wh emergng marke regons, he developed regons we sudy have four man dssmlares: he oal rsk premums are sgnfcanly smaller, less volale, domnaed by global facors and reflec mosly nernaonal evens. 14
16 REFERENCES Adler M. and B. Dumas (1983), Inernaonal Porfolo Selecon and Corporaon Fnance: A Synhess, Journal of Fnance, n 38, pp Adler M. and Q R. (003), Mexco s Inegraon no he Norh Amercan Capal Marke, Emergng Economc Revew, 4, pp Aggarwal R., and N. A. Kyaw (005), Equy marke negraon n he NAFTA regon: Evdence from un roo and conegraon ess, Inernaonal Revew of Fnancal Analyss, 14(4), pp Arour, M., Nguyen, D.K., Pukhuanhong, K., 01. An nernaonal CAPM for parally negraed markes: Theory and emprcal evdence. Journal of Bankng and Fnance 36, Arour, M. E.-H. and Nguyen, D. K.. (010). Tme-Varyng Characerscs of Cross-Marke Lnkages wh Empercal Applcaon o Gulf Sock Markes. Manageral Fnance, 36(1), Arour M., Dnh TH., and Nguyen DK. (010), Tme-varyng Predcably n Crude Ol Markes: The Case of GCC Counres, Energy Polcy, Vol. 38, No. 8, pp , 010. Barar M. (004), Equy marke negraon n Lan Amerca: A me-varyng negraon score analyss, Inernaonal Revew of Fnancal Analyss, 13(5), pp Bekaer G, Harvey C. R and Lunsdane (003), Dang he Inegraon of World Equy Markes, Journal of Fnancal Economcs, 65 (), pp Bekaer G. and C. Harvey (1995), Tme Varyng World Marke Inegraon, Journal of Fnance, 50(), pp Bekaer G. and Harvey C. (003), Emergng Markes Fnance, Journal of Emprcal Fnance, 10, pp Bekaer G., Harvey C. and LUMSDAINE R. (00), The Dynamcs of Emergng Marke equy Flows, Journal of Inernaonal money and Fnance, 1 :3, pp Bekaer G., Harvey C. and Ng A. (005), Marke Inegraon and Conagon, Journal of Busness, vol. 78, pp Black F. (1974), Inernaonal Capal Marke Equlbrum wh Invesmen Barrers, Journal of Fnancal Economcs, 1, pp Bollerslev T. and Wooldrge J.M. (199), Quas-maxmum Lkelhood Esmaon and Inference n Dynamc Models wh Tme-Varyng Covarances, Economerc Revew, n 11, pp Carrer F., Errunza V. and Hogan K. (007), Characerzng World Marke Inegraon Through Tme, Journal of Fnancal and Quanave Analyss, 4, Chelley-Seeley P. (004), Equy marke negraon n he Asa-Pacfc regon: A smooh ranson analyss, Inernaonal Revew of Fnancal Analyss, 13(5), pp
17 Cooper I. and Kaplans E. (000), Parally Segmened Inernaonal Capal Marke Inegraon Budgeng, Journal of Inernaonal Money and Fnance, 43, pp De Sans G. and Gerard B. (1997), Inernaonal Asse Prcng and Porfolo Dversfcaon wh Tme-Varyng Rsk, Journal of Fnance 5, pp Dng Z. and R. Engle (1994), Large Scale Condonal Covarances Marx Modellng, Esmaon and Tesng, Workng Paper, Unversy of Calforna a San Dego. Eunza V. and Losq E. (1985), Inernaonal Asse Prcng under Mld Segmenaon: Theory and Tes, Journal of Fnance 40,pp Gerard B., K. Thanyalakpark and J. Baen (003), Are he Eas Asan Markes Inegraed? Evdence from he ICAPM, Journal of Economcs and Busness, 55, pp Gupa R., and Gud F. (01), Conegraon relaonshp and me varyng comovemens among Indan and Asan developed sock markes, Inernaonal Revew of Fnancal Analyss, 1, pp Hardouvels G., Mallaropoulos G. and D. Presley (006), EMU and Sock Marke Inegraon, Journal of Busness, vol. 79, pp Harvey C (1991), The World Prce of Covarance Rsk, Journal of Fnance, vol 46(1), pp Karolya A. and R. Sulz, (00), Are Fnancal Asses Prced Locally or Globally?, n Handbook of he Economcs of Fnance, Consanndes, Harrs and Sulz edons, Norh-Holland. Kearney C., and Lucey B. M. (004), Inernaonal equy marke negraon: Theory, evdence and mplcaons, Inernaonal Revew of Fnancal Analyss, 13(5), pp Lucey B. M., and C. Muckley (011), Robus global sock marke nerdependences, Inernaonal Revew of Fnancal Analyss, 0(4), pp Meron R. (1980), On esmang he Expeced Reurn on he Marke: An Explonary Invesgaon, Journal of Fnancal Economcs, 8(4), pp Ross S. A. (1976), The Arbrage Theory of capal Asse Prcng, Journal of Economc Theory, n 4, pp Sharpe W. (1964), Capal Asse Prces: A Theory of Marke Equlbrum under Condons of Rsk, Journal of Fnance, n 9, pp Solnk B. (1983), Inernaonal Arbrage Prcng Theory, Journal of Fnance, 38, pp Sulz R. (1981), A Model of Inernaonal Asse Prcng, Journal of Fnancal Economcs, n 9, p Sulz R. (1999), Inernaonal Porfolo Flows and Secury Markes, n Marn Feldsen, Ed. Inernaonal Capal Flows, Unversy of Chcago Press. 16
18 Voronkova S. (004), Equy marke negraon n Cenral European emergng markes: A conegraon analyss wh shfng regmes, Inernaonal Revew of Fnancal Analyss, 13(5), pp Table1: Descrpve sascs of regon excess reurns Annualzed monhly equy reurns are n US dollar and compued n excess of he 30-day euro-dollar depos rae. The sample covers he perod January 1988 Sepember 01. B-J s he Bera-Jarque es for normaly based on excess skewness and Kuross. Q(6) s he Lung-Box es for auocorrelaon of order 6 for he reurns and ARCH(6) s he ARCH es of order 6. EM Asa EM EM Far EM Lan AEFE Europe Norh Pacfc World Europe Eas Amerca Amerca Mean Sd. Dev Skewness Kuross B-J 6.434* * 7.751* 197.5* 37.07* 66.55* 65.90* 8.36** 65.99* Q(6) 4.001* ** 1.350* ARCH(6) 4.567* * 1.903** 6.499* * 5.5* 3.80* 5.809* *, ** and *** denoe sascal sgnfcance a 1%, 5% and 10%.. 17
19 Table : Quas-maxmum lkelhood esmaes of he model Panel A repors resuls for he world marke model. The model esmaed s: R h w r h c a w 1 b h 1 / 1 ~ 0, h Panel B repors resuls for he esmaon regon per regon. The esmaed model s: where q D H hn * hn / hnn, and R denoes he 1 R r 1 h H c C C aa * c vecor ha ncludes 1 * q 1 1 bb * H / 1 1 ~ 0, c rsky asses and he world marke porfolo. s he c c condonal covarance marx of asse reurns, h N s h he condonal varance of he world marke porfolo. s he he N h column of composed of he condonal covarance of each regon wh he marke porfolo and NN c 1 vecor of degrees of segmenaon, q s he c 1 vecor on undversfable regonal rsk, D H he dagonal componens n and * denoes he Hadamard marx produc. C s a c c lower rangular marx and a and b are c 1 parameer vecors. 1 s he rue non observable se of nformaon varables avalable a (-1). Esmaes are based on annualsed monhly reurns expressed n US dollar. Equy reurns are compued n excess of he 30-day euro-dollar depos rae. The sample covers he perod January 1988 Sepember 01 The models are esmaed by Quas-Maxmum Lkelhood n wo sages. We esmae frs he equaon for he world ndex reurns (Panel A) and hen mpose he esmaes of he world prce of rsk and he world varance coeffcens n each regon esmaons (Panel B). B-J s he Bera-Jarque es for normaly based on excess skewness and Kuross. Q(6) s he Lung-Box es for auocorrelaon of order 6 for he reurns and ARCH(6) s he ARCH es of order 6. Panel A: Esmaon resuls for he world marke World prce of rsk.854** (0.013) GARCH process World c 1.306** (0.617) a 0.13* (0.03) b 0.807* (0.060) 18
20 Resdual dagnoscs World Skewness Kuross J.B * Q(6).456 ARCH(6) Panel B: Esmaon resuls regon per regon GARCH process EM Asa EM Europe EM Far Eas EM Lan Amerca a 0.381* 0.154* 0.9* 0.117* (0.16) b 0.395** (0.168) (0.051) 0.770* (0.083) (0.07) 0.704* (0.081) (0.03) 0.845* (0.041) AEFE Europe Norh Amerca Pacfc 0.064** (0.036) 0.90* (0.058) 0.154* (0.051) 0.770* (0.083) 0.043* (0.017) 0.944* (0.078) 0.39* (0.07) (0.4) Resdual dagnoscs EM Asa EM Europe EM Far Eas EM Lan Amerca AEFE Europe Norh Amerca Pacfc Skewness Kuross J.B * * * * Q(6) 1.065* * ARCH(6) *, ** and *** denoe sascal sgnfcance a 1%, 5% and 10%.Sandard devaons are n parenheses. 19
21 Table 3: Esmaed degrees of segmenaon and rsk prema analyss Panel A conans sascs for he segmenaon degrees esmaed from he model n Table. The overall and subperod means and sandard devaons are repored. Panel B conans averages n percen for he annualsed rsk premums esmaed for he model n Table. The oal rsk premum (TP), he global premum (GP) and he local premum (LP) are measured as follows: TP GP h w h w RP 1 h h Panel A: Sascs for degrees of segmenaon EM Asa EM Europe EM Far Eas EM Lan Amerca AEFE Europe Norh Amerca Pacfc Overall mean 0.314** (0.13) 0.389* (0.11) 0.35* (0.089) 0.378* (0.073) (0.03) 0.081*** (0.048) 0.10 (0.070) 0.190* (0.06) Before * (0.11) 0.637* (0.098) 0.459* (0.109) 0.585* (0.154) (0.041) 0.147*** (0.081) 0.5** (0.110) 0.169** (0.085) Afer ** (0.078) 0.198** (0.085) 0.05* (0.069) 0.155** (0.074) 0.034*** (0.019) 0.04*** (0.05) 0.05 (0.510) 0.163** (0.096) Panel B: Analyss of rsk prema TP GP RP TP GP RP TP GP RP All sample Before December 000 Afer December 000 EM Asa 11,3* 5,341* 5,891* 10,756* 3,755* 7,001* 1,053* 6,38* 5,671* EM Europe 1,350* 4,37* 8,03* 13,04*,86* 10,16* 11,630* 4,487* 7,143* EM Far Eas 1,516* 5,735* 6,781* 14,375* 3,831* 10,544* 10,856* 5,633* 5,* EM Lan 15,511* 4,407* 11,104* 15,55* 3,531* 11,994* 15,4* 8,073* 7,350* Amerca AEFE 6,89* 5,896* 0,394 5,846* 5,80* 0,565 7,39* 6,304* 1,05*** Europe 6,61* 5,856* 0,756*** 6,016* 5,379* 0,637** 7,367* 6,* 1,145** Norh Amerca 6,38* 5,76* 0,656 5,68* 5,048* 0,580** 7,164* 6,559* 0,605 Pacfc 8,559* 6,307*,5** 7,947* 5,883*,063* 8,768* 5,96*,841** *, ** and *** denoe sascal sgnfcance a he 1%, 5% and 10%. Sandard devaons and daes are n parenheses. 0
22 1
RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA
RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns
More informationV.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS
R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon
More informationJanuary Examinations 2012
Page of 5 EC79 January Examnaons No. of Pages: 5 No. of Quesons: 8 Subjec ECONOMICS (POSTGRADUATE) Tle of Paper EC79 QUANTITATIVE METHODS FOR BUSINESS AND FINANCE Tme Allowed Two Hours ( hours) Insrucons
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationUNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION
INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he
More informationThe Systematic Tail Risk Puzzle in Chinese Stock Markets: Theoretical Model and Empirical Evidence
The Sysemac Tal Rsk Puzzle n Chnese Sock Markes: Theorecal Model and Emprcal Evdence Absrac: Dfferen from he marke bea ha measures common rsk, sysemac al rsk maers n ha he al rsk of he marke porfolo conrbues
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More information( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model
BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng
More informationOil price volatility and real effective exchange rate: the case of Thailand
MPRA Munch Personal RePEc Archve Ol prce volaly and real effecve exchange rae: he case of Thaland Koman Jranyakul Naonal Insue of Developmen Admnsraon July 204 Onlne a hps://mpra.ub.un-muenchen.de/60204/
More informationDepartment of Economics University of Toronto
Deparmen of Economcs Unversy of Torono ECO408F M.A. Economercs Lecure Noes on Heeroskedascy Heeroskedascy o Ths lecure nvolves lookng a modfcaons we need o make o deal wh he regresson model when some of
More informationAnalysis And Evaluation of Econometric Time Series Models: Dynamic Transfer Function Approach
1 Appeared n Proceedng of he 62 h Annual Sesson of he SLAAS (2006) pp 96. Analyss And Evaluaon of Economerc Tme Seres Models: Dynamc Transfer Funcon Approach T.M.J.A.COORAY Deparmen of Mahemacs Unversy
More informationData Collection Definitions of Variables - Conceptualize vs Operationalize Sample Selection Criteria Source of Data Consistency of Data
Apply Sascs and Economercs n Fnancal Research Obj. of Sudy & Hypoheses Tesng From framework objecves of sudy are needed o clarfy, hen, n research mehodology he hypoheses esng are saed, ncludng esng mehods.
More informationEcon107 Applied Econometrics Topic 5: Specification: Choosing Independent Variables (Studenmund, Chapter 6)
Econ7 Appled Economercs Topc 5: Specfcaon: Choosng Independen Varables (Sudenmund, Chaper 6 Specfcaon errors ha we wll deal wh: wrong ndependen varable; wrong funconal form. Ths lecure deals wh wrong ndependen
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationMultivariate GARCH modeling analysis of unexpected U.S. D, Yen and Euro-dollar to Reminibi volatility spillover to stock markets.
Mulvarae GARCH modelng analyss of unexpeced U.S. D, Yen and Euro-dollar o Remnb volaly spllover o sock markes Cng-Cun We Deparmen of Fance, Provdence Unvesy Absrac Te objecve of s paper, by employng e
More informationDisclosure Quality, Diversification and the Cost of Capital. Greg Clinch University of Melbourne June 2013
Dsclosure Qualy, Dversfcaon and he Cos of Capal Greg Clnch Unversy of Melbourne clnchg@unmelb.edu.au June 03 I hank Cynha Ca, Kevn L, and Sorabh Tomar for helpful commens and suggesons on an earler (ncomplee)
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationThe Impact of SGX MSCI Taiwan Index Futures on the Volatility. of the Taiwan Stock Market: An EGARCH Approach
The Impac of SGX MSCI Tawan Index Fuures on he Volaly of he Tawan Sock Marke: An EGARCH Approach Phlp Hsu, Asssan Professor, Deparmen of Fnance, Naonal Formosa Unversy, Tawan Yu-Mn Chang, Asssan Professor,
More informationJEL Codes: F3, G1, C5 Keywords: International Finance, Correlation, Variance Targeting, Multivariate GARCH, International Stock and Bond correlation
EUROPEAN CENTRAL BANK WORKING PAPER SERIES WORKING PAPER NO. 04 ASYMMETRIC DYNAMICS IN THE CORRELATIONS OF GLOBAL EQUITY AND BOND RETURNS BY LORENZO CAPPIELLO, ROBERT F. ENGLE AND KEVIN SHEPPARD January
More informationSolution in semi infinite diffusion couples (error function analysis)
Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of
More informationTSS = SST + SSE An orthogonal partition of the total SS
ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally
More informationChapter 9: Factor pricing models. Asset Pricing Zheng Zhenlong
Chaper 9: Facor prcng models Asse Prcng Conens Asse Prcng Inroducon CAPM ICAPM Commens on he CAPM and ICAPM APT APT vs. ICAPM Bref nroducon Asse Prcng u β u ( c + 1 ) a + b f + 1 ( c ) Bref nroducon Asse
More informationGraduate Macroeconomics 2 Problem set 5. - Solutions
Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K
More informationReturns and Volatility Asymmetries in Global Stock Markets
Reurns and Volaly Asymmeres n Global Sock Markes Thomas C. Chang, Marshall M. Ausn Professor of Fnance Drexel Unversy Cahy W.S. Chen, Professor of Sascs Feng Cha Unversy Mke K.P. So, Asssan Professor Hong
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationF-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction
ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or
More information5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)
5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and
More informationAdvanced time-series analysis (University of Lund, Economic History Department)
Advanced me-seres analss (Unvers of Lund, Economc Hsor Dearmen) 3 Jan-3 Februar and 6-3 March Lecure 4 Economerc echnues for saonar seres : Unvarae sochasc models wh Box- Jenns mehodolog, smle forecasng
More informationUS Monetary Policy and the G7 House Business Cycle: FIML Markov Switching Approach
U Monear Polc and he G7 Hoe Bness Ccle: FML Markov wchng Approach Jae-Ho oon h Jun. 7 Absrac n order o deermne he effec of U monear polc o he common bness ccle beween hong prce and GDP n he G7 counres
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationAppendix H: Rarefaction and extrapolation of Hill numbers for incidence data
Anne Chao Ncholas J Goell C seh lzabeh L ander K Ma Rober K Colwell and Aaron M llson 03 Rarefacon and erapolaon wh ll numbers: a framewor for samplng and esmaon n speces dversy sudes cology Monographs
More informationMath 128b Project. Jude Yuen
Mah 8b Proec Jude Yuen . Inroducon Le { Z } be a sequence of observed ndependen vecor varables. If he elemens of Z have a on normal dsrbuon hen { Z } has a mean vecor Z and a varancecovarance marx z. Geomercally
More informationCS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4
CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped
More informationCAPM, CCAPM and Arbitrage Pricing Theory
Bachelor Thess Fnance Prcng of socks CAPM, CCAPM and Arbrage Prcng Theory Supervsor: Jéréme Lefebvre Suden: Mara Johanna Adrana (Joyce) van der Zande AN: 810944 Dae: 18-06-2009 Sudy: FEB Pre-maser Fnancal
More information( ) () we define the interaction representation by the unitary transformation () = ()
Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger
More informationTime-interval analysis of β decay. V. Horvat and J. C. Hardy
Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae
More informationCS286.2 Lecture 14: Quantum de Finetti Theorems II
CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2
More informationIn the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!
ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal
More informationGENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim
Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran
More informationFall 2009 Social Sciences 7418 University of Wisconsin-Madison. Problem Set 2 Answers (4) (6) di = D (10)
Publc Affars 974 Menze D. Chnn Fall 2009 Socal Scences 7418 Unversy of Wsconsn-Madson Problem Se 2 Answers Due n lecure on Thursday, November 12. " Box n" your answers o he algebrac quesons. 1. Consder
More informationTHEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that
THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because
More informationPolitical Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.
Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and
More informationGarched investment decision making with real risk
Inernaonal Journal of Busness and Publc Managemen (ISSN: -644) Vol. (): -7 Avalable onlne a: hp//:www.ournals.mku.ac.ke MKU Journals, Aprl 0 Full Lengh Research Paper Garched nvesmen decson makng wh real
More informationThe World Price of Liquidity Risk
The orld Prce of Lqudy Rsk Kuan-Hu Lee 1 November 2005 1 Ph.D. anddae, Deparmen of Fnance, Fsher ollege of Busness, The Oho Sae Unversy, olumbus, OH 43210, emal: lee 2008@cob.osu.edu. I hank Bng Han, Jean
More informationBayesian Inference of the GARCH model with Rational Errors
0 Inernaonal Conference on Economcs, Busness and Markeng Managemen IPEDR vol.9 (0) (0) IACSIT Press, Sngapore Bayesan Inference of he GARCH model wh Raonal Errors Tesuya Takash + and Tng Tng Chen Hroshma
More informationACEI working paper series RETRANSFORMATION BIAS IN THE ADJACENT ART PRICE INDEX
ACEI workng paper seres RETRANSFORMATION BIAS IN THE ADJACENT ART PRICE INDEX Andrew M. Jones Robero Zanola AWP-01-2011 Dae: July 2011 Reransformaon bas n he adjacen ar prce ndex * Andrew M. Jones and
More informationPauline Broertjes. Dynamic Adjustment of Stock Prices to the Fundamental Value An Error Correction Approach. MSc Thesis
Paulne Broerjes Dynamc Adjusmen of Sock Prces o he Fundamenal Value An Error Correcon Approach MSc Thess 00-037 Dynamc adjusmen of sock prces o he fundamenal value An error correcon approach Urech Unversy
More informationNPTEL Project. Econometric Modelling. Module23: Granger Causality Test. Lecture35: Granger Causality Test. Vinod Gupta School of Management
P age NPTEL Proec Economerc Modellng Vnod Gua School of Managemen Module23: Granger Causaly Tes Lecure35: Granger Causaly Tes Rudra P. Pradhan Vnod Gua School of Managemen Indan Insue of Technology Kharagur,
More informationABSTRACT KEYWORDS. Bonus-malus systems, frequency component, severity component. 1. INTRODUCTION
EERAIED BU-MAU YTEM ITH A FREQUECY AD A EVERITY CMET A IDIVIDUA BAI I AUTMBIE IURACE* BY RAHIM MAHMUDVAD AD HEI HAAI ABTRACT Frangos and Vronos (2001) proposed an opmal bonus-malus sysems wh a frequency
More informationExchange Rate Risk in the U.S. Stock Market
Exchange Rae Rsk n he U.S. Sock Marke Workng Paper Seres -07 Sepember 20 Dng Du Norhern Arzona Unversy The W. A. Franke College of Busness PO Box 5066 Flagsaff, AZ 860.5066 dng.du@nau.edu (928) 523-7274
More information2. SPATIALLY LAGGED DEPENDENT VARIABLES
2. SPATIALLY LAGGED DEPENDENT VARIABLES In hs chaper, we descrbe a sascal model ha ncorporaes spaal dependence explcly by addng a spaally lagged dependen varable y on he rgh-hand sde of he regresson equaon.
More informationDYNAMIC ECONOMETRIC MODELS Vol. 8 Nicolaus Copernicus University Toruń 2008
DYNAMIC ECONOMETRIC MODELS Vol. 8 Ncolaus Coperncus Unversy Toruń 008 Monka Kośko The Unversy of Compuer Scence and Economcs n Olszyn Mchał Perzak Ncolaus Coperncus Unversy Modelng Fnancal Tme Seres Volaly
More information2 Aggregate demand in partial equilibrium static framework
Unversy of Mnnesoa 8107 Macroeconomc Theory, Sprng 2009, Mn 1 Fabrzo Perr Lecure 1. Aggregaon 1 Inroducon Probably so far n he macro sequence you have deal drecly wh represenave consumers and represenave
More information. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.
Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons
More informationEstimation of Cost and. Albert Banal-Estanol
Esmaon of Cos and Producon Funcons ns Movaon: Producon and Cos Funcons Objecve: Fnd shape of producon/cos funcons Evaluae effcency: Increasng reurns, economes of scale Complemenary/subsuably beween npus
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationComparison of Supervised & Unsupervised Learning in βs Estimation between Stocks and the S&P500
Comparson of Supervsed & Unsupervsed Learnng n βs Esmaon beween Socks and he S&P500 J. We, Y. Hassd, J. Edery, A. Becker, Sanford Unversy T I. INTRODUCTION HE goal of our proec s o analyze he relaonshps
More informationStock Market Development And Economic Growth
Amercan Journal of Appled Scences 6 (): 93-94, 9 ISSN 546-939 9 Scence Publcaons Sock Marke Developmen And Economc Growh Ahanasos Vazakds and Anonos Adamopoulos Deparmen of Appled Informacs, Unversy of
More informationVolume 30, Issue 4. Abd Halim Ahmad Universiti Utara Malaysia
Volume 30, Issue 4 Effcen marke hypohess n emergng markes: Panel daa evdence wh mulple breaks and cross seconal dependence Abd Halm Ahmad Unvers Uara Malaysa S Nurazra Mohd Daud Unvers Sans Islam Malaysa
More informationCommon persistence in conditional variance: A reconsideration. chang-shuai Li
Common perssence n condonal varance: A reconsderaon chang-shua L College of Managemen, Unversy of Shangha for Scence and Technology, Shangha, 00093, Chna E-mal:chshua865@63.com Ths paper demonsraes he
More informationStandard Error of Technical Cost Incorporating Parameter Uncertainty
Sandard rror of echncal Cos Incorporang Parameer Uncerany Chrsopher Moron Insurance Ausrala Group Presened o he Acuares Insue General Insurance Semnar 3 ovember 0 Sydney hs paper has been prepared for
More informationEconomic Integration and Structure Change in Stock Market Dependence: Empirical Evidences of CEPA
Journal of Appled Fnance & Banng vol. 4 no. 014 33-45 ISSN: 179-6580 (prn verson) 179-6599 (onlne) Scenpress Ld 014 Economc Inegraon and Srucure Change n Soc Mare Dependence: Emprcal Evdences of CEPA Chung-Chu
More informationThe volatility modelling and bond fund price time series forecasting of VUB bank: Statistical approach
8 h Inernaonal scenfc conference Fnancal managemen of frms and fnancal nsuons Osrava VŠB-TU Osrava, faculy of economcs, fnance deparmen 6 h 7 h Sepember The volaly modellng and bond fund prce me seres
More informationRelative controllability of nonlinear systems with delays in control
Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.
More informationHabit Formation, the Cross Section of Stock Returns and the Cash-Flow Risk Puzzle
Hab Formaon, he Cross Secon of Sock Reurns and he Cash-Flow Rsk Puzzle Tano Sanos Columba Unversy, CEPR and NBER Pero Verones Unversy of Chcago, CEPR and NBER Aprl 6, 2010 Absrac Non-lnear exernal hab
More informationModern Dynamic Asset Pricing Models
Modern Dynamc Asse Prcng Models Lecure Noes 2. Equlbrum wh Complee Markes 1 Pero Verones The Unversy of Chcago Booh School of Busness CEPR, NBER 1 These eachng noes draw heavly on Duffe (1996, Chapers
More informationLecture Notes 4: Consumption 1
Leure Noes 4: Consumpon Zhwe Xu (xuzhwe@sju.edu.n) hs noe dsusses households onsumpon hoe. In he nex leure, we wll dsuss rm s nvesmen deson. I s safe o say ha any propagaon mehansm of maroeonom model s
More informationOptimal environmental charges under imperfect compliance
ISSN 1 746-7233, England, UK World Journal of Modellng and Smulaon Vol. 4 (28) No. 2, pp. 131-139 Opmal envronmenal charges under mperfec complance Dajn Lu 1, Ya Wang 2 Tazhou Insue of Scence and Technology,
More informationTeaching Notes #2 Equilibrium with Complete Markets 1
Teachng Noes #2 Equlbrum wh Complee Markes 1 Pero Verones Graduae School of Busness Unversy of Chcago Busness 35909 Sprng 2005 c by Pero Verones Ths Verson: November 17, 2005 1 These eachng noes draw heavly
More informationNotes on the stability of dynamic systems and the use of Eigen Values.
Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon
More informationEmpirical Tests of Asset Pricing Models with Individual Assets: Resolving the Errors-in-Variables Bias in Risk Premium Estimation
Emprcal Tess of Asse Prcng Models wh Indvdual Asses: Resolvng he Errors-n-Varables Bas n Rsk Premum Esmaon by arasmhan Jegadeesh, Joonk oh, Kunara Pukhuanhong, Rchard Roll, and Junbo Wang Sepember, 207
More informationLecture 18: The Laplace Transform (See Sections and 14.7 in Boas)
Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on
More informationModeling exchange rate exposure in the Japanese industrial sectors
Ed Cowan Unversy Researc Onlne ECU Publcaons 0 0 Modelng excange rae exposure n e Japanese ndusral secors P. Jayasnge A Tsu Zaoyong Zang Ed Cowan Unversy Ts arcle was orgnally publsed as: Jayasnge, P.,
More informationLi An-Ping. Beijing , P.R.China
A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.
More informationInfluence Diagnostics in a Bivariate GARCH Process
Influence Dagnoscs n a Bvarae GARCH Process an Qu Jonaan Dark Xbn Zang Deparmen of Economercs and Busness Sascs Monas Unversy Caulfeld Eas VIC 345 Ausrala Marc 6 Absrac: In s paper we examne nfluence dagnoscs
More informationAnalysing the Relationship between New Housing Supply and Residential Construction Costs with the Regional Heterogeneities
Analysng he Relaonshp beween New Housng Supply and Resdenal Consrucon Coss wh he Regonal Heerogenees Junxao Lu, (Deakn Unversy, Ausrala) Kerry London, (RMIT Unversy, Ausrala) Absrac New housng supply n
More information. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.
Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are
More informationHEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD
Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,
More informationVolatility Modelling of the Nairobi Securities Exchange Weekly Returns Using the Arch-Type Models
Inernaonal Journal of Appled Scence and Technology Vol. No. 3; March 1 Volaly Modellng of he Narob Secures Exchange Weekly Reurns Usng he Arch-Type Models ADOLPHUS WAGALA Chuka Unversy College Deparmen
More informationCapital Flow Volatility and Exchange Rates: The Case of India. Pami Dua and Partha Sen 1, 2
Capal Flow Volaly and Exchange Raes: The Case of Inda Pam Dua and Parha Sen, 2 Absrac Ths paper examnes he relaonshp beween he real exchange rae, level of capal flows, volaly of he flows, fscal and moneary
More informationForecasting customer behaviour in a multi-service financial organisation: a profitability perspective
Forecasng cusomer behavour n a mul-servce fnancal organsaon: a profably perspecve A. Audzeyeva, Unversy of Leeds & Naonal Ausrala Group Europe, UK B. Summers, Unversy of Leeds, UK K.R. Schenk-Hoppé, Unversy
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationEconomics Discussion Paper
Economcs Dscusson Paper EDP-057 Busness Cycle Lnkages for he G7 Counres: Does he Lead he World? By Dense R Osborn, Pedro J Perez and Maranne Senser Aprl 005 Correspondance emal dense.osborn@mancheser.ac.uk
More informationInternational asset allocation in presence of systematic cojumps
Inernaonal asse allocaon n presence of sysemac cojumps Mohamed El Hed Arour a, Oussama M SADDEK b,*, Duc Khuong Nguyen c, Kunara Pukhuanhong d a CRCGM - Unversy of Auvergne, 49 Boulevard Franços-Merrand,
More informationOligopoly with exhaustible resource input
Olgopoly wh exhausble resource npu e, P-Y. 78 Olgopoly wh exhausble resource npu Recebmeno dos orgnas: 25/03/202 Aceação para publcação: 3/0/203 Pu-yan e PhD em Scences pela Chnese Academy of Scence Insução:
More informationLet s treat the problem of the response of a system to an applied external force. Again,
Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem
More informationOMXS30 Balance 20% Index Rules
OMX30 Balance 0% ndex Rules Verson as of 30 March 009 Copyrgh 008, The NADAQ OMX Group, nc. All rghs reserved. NADAQ OMX, The NADAQ ock Marke and NADAQ are regsered servce/rademarks of The NADAQ OMX Group,
More informationCHOOSING THE BEST PERFORMING GARCH MODEL FOR SRI LANKA STOCK MARKET BY NON-PARAMETRIC SPECIFICATION TEST
Journal of Daa Scence 3(5), 457-47 CHOOSING THE BEST PERFORMING GARCH MODEL FOR SRI LANKA STOCK MARKET BY NON-PARAMETRIC SPECIFICATION TEST Aboobacker Jahufer Souh Easern Unversy of Sr Lanka Absrac:Ths
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationInternational Parity Relations between Poland and Germany: A Cointegrated VAR Approach *
Inernaonal Pary Relaons beween Poland and Germany: A Conegraed VAR Approach Agneszka SąŜka Ths verson: 5 February 008 Absrac Ths paper analyses emprcally he purchasng power pary, he uncovered neres pary
More informationTHE FORECASTING ABILITY OF A COINTEGRATED VAR DEMAND SYSTEM WITH ENDOGENOUS VS. EXOGENOUS EXPENDITURE VARIABLE
WORKING PAPERS Invesgação - Trabalhos em curso - nº 109, Julho de 2001 THE FORECASTING ABILITY OF A COINTEGRATED VAR DEMAND SYSTEM WITH ENDOGENOUS VS. EXOGENOUS EXPENDITURE VARIABLE Margarda de Mello Kevn
More informationHigh frequency analysis of lead-lag relationships between financial markets de Jong, Frank; Nijman, Theo
Tlburg Unversy Hgh frequency analyss of lead-lag relaonshps beween fnancal markes de Jong, Frank; Nman, Theo Publcaon dae: 1995 Lnk o publcaon Caon for publshed verson (APA): de Jong, F. C. J. M., & Nman,
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationCHAPTER 1 CREDIT RISK AND PORTFOLIO MODELLING
CHAPTE 1 CEDIT ISK AND POTFOLIO MODELLING 1.1 INTODUCTION The core prncple for addressng praccal quesons n cred porfolo managemen les n he ably o lnk he cyclcal or sysemac componens of frm cred rsk wh
More informationApplied Econometrics and International Development Vol- 8-2 (2008)
Appled Economercs and Inernaonal Developmen Vol- 8-2 (2008) HEALTH, EDUCATION AND ECONOMIC GROWTH: TESTING FOR LONG- RUN RELATIONSHIPS AND CAUSAL LINKS AKA, Béda F. * DUMONT, Jean Chrsophe Absrac Ths paper
More informationTime Scale Evaluation of Economic Forecasts
CENTRAL BANK OF CYPRUS EUROSYSTEM WORKING PAPER SERIES Tme Scale Evaluaon of Economc Forecass Anons Mchs February 2014 Worng Paper 2014-01 Cenral Ban of Cyprus Worng Papers presen wor n progress by cenral
More informationReal Exchange Rates In Developing Countries: Are Balassa-Samuelson Effects Present?
WP/04/88 Real Exchange Raes In Developng Counres: Are Balassa-Samuelson Effecs Presen? Ehsan U. Choudhr and Mohsn S. Khan 2004 Inernaonal Moneary Fund WP/04/88 IMF Workng Paper Mddle Eas and Cenral Asa
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationChapter 8 Dynamic Models
Chaper 8 Dnamc odels 8. Inroducon 8. Seral correlaon models 8.3 Cross-seconal correlaons and me-seres crosssecon models 8.4 me-varng coeffcens 8.5 Kalman fler approach 8. Inroducon When s mporan o consder
More informationLecture Notes 4. Univariate Forecasting and the Time Series Properties of Dynamic Economic Models
Tme Seres Seven N. Durlauf Unversy of Wsconsn Lecure Noes 4. Unvarae Forecasng and he Tme Seres Properes of Dynamc Economc Models Ths se of noes presens does hree hngs. Frs, formulas are developed o descrbe
More information