William Barnett. Abstract
|
|
- Eileen Higgins
- 6 years ago
- Views:
Transcription
1 Inrmporally non sparabl monary ass risk adjusmn aggrgaion William Barn Univrsiy o ansas Shu Wu Univrsiy o ansas Absrac Modrn aggrgaion hory indx numbr hory wr inroducd ino monary aggrgaion by Barn (980. Th widly usd Divisia monary aggrgas wr basd upon ha papr. A ky rsul upon which h rs o h hory dpndd was Barn s drivaion o h usr cos pric o monary asss. To mak ha criical par o Barn s rsuls availabl prior o publicaion o ha papr in h Journal o Economrics Barn rpad ha proo wo yars arlir in Economics rs. Boh paprs hav bcom sminal o h subsqun liraur on monary ass quaniy usr cos aggrgaion. Th xnsion o ha liraur o risk wih inrmporally non sparabl prrncs now has bcom availabl in a working papr by Barn Wu (2004 ha papr will appar in volum numbr o h nw journal Annals o Financ. W ar making availabl h ky rsuls rom ha papr blow wihou h proos which will b availabl in h longr papr. W hank paricipans a h h Global Financ Annual Conrnc Yuqing Huang or hlpul commns. Ciaion: Barn William Shu Wu (2004 "Inrmporally non sparabl monary ass risk adjusmn aggrgaion." Economics Bullin Vol. 5 No. 3 pp. 9 Submid: Jun Accpd: July UR: hp:// 04E00005A.pd
2 Inroducion Modrn aggrgaion hory indx numbr hory wr inroducd ino monary aggrgaion by Barn (980. Th widly usd Divisia monary aggrgas wr basd upon ha papr. A ky rsul upon which h rs o h hory dpndd was Barn s drivaion o h usr-cos pric o monary asss. To mak ha criical par o Barn s (980 rsuls availabl prior o publicaion o h ull papr in h Journal o Economrics Barn (978 rpad ha par o h hory wo yars arlir in Economics rs. Boh paprs hav bcom sminal o h subsqun liraur on monary ass quaniy usr cos aggrgaion. Th xnsion o ha liraur o risk wih inrmporally non-sparabl prrncs now has bcom availabl in a working papr by Barn Wu (2004 ha papr will appar in volum numbr o h nw journal Annals o Financ. Tha compl papr in working papr orm is onlin in h Economics Working Papr Archiv a hp://conwpa.wusl.du/prins/mac/paprs/0406/ abs. In his papr w ar making availabl h ky rsuls rom h working papr wihou h proos which will b availabl in h longr papr. W xnd h monary-ass usr-cos risk adjusmn o Barn iu Jnsn (997 hir risk-adjusd Divisia monary aggrgas o h cas o mulipl nonmonary asss inrmporal non-sparabiliy. Our modl can gnra ponially largr mor accura CCAPM usr-cos risk adjusmns han hos ound in Barn iu Jnsn (997. Barn ( producd h microconomic hory o monary aggrgaion undr prc crainy drivd h ormula or h usr cos o monary asss originad h Divisia monary aggrgas o rack h hory s quaniy pric aggrgaor uncions nonparamrically. Th monary aggrgaion hory was xndd o risk by Barn (995 Barn Hinich Yu (2000. In producing h Divisia indx approximaions o h hory s aggrgaor uncions undr risk Barn iu Jnsn (997 Barn iu (2000 showd ha a risk adjusmn rm should b addd o h crainy-quivaln usr cos in a consumpion-basd capial ass pricing modl (CCAPM. Th risk adjusmn dpnds upon h covarianc bwn h ras o rurn on monary asss h growh ra o consumpion. Using h componns o h usual Fdral Rsrv Sysm monary aggrgas Barn iu Jnsn (997 showd howvr ha h CCAPM risk adjusmn is sligh h gain rom rplacing h unadjusd Divisia indx wih h xndd indx is usually small. An ovrviw o h rlvan liraur is providd in Barn Srlis (2000. As in h quiy prmium puzzl liraur h small risk adjusmn is causd by h low conmporanous covarianc undr inrmporal sparabiliy bwn h ra o rurn on h ass consumpion growh. W also xnd h modl in Barn iu Jnsn (997 o includ mulipl risky non-monary asss which ar h asss ha provid no liquidiy srvics ohr han hir ras o rurn w show ha any non-monary ass can b usd as h bnchmark ass whn is ra o rurn is corrcly adjusd. 2. Consumr s opimizaion problm W assum ha h rprsnaiv consumr has an inrmporally non-sparabl gnral uiliy uncion U( m c c c dind ovr currn pas consumpion a - -n vcor o currn-priod monary asss m ( m m m. Th consumr s holdings o 2
3 non-monary asss ar k ( k k2... k. To nsur h xisnc o a monary aggrga w urhr assum ha hr xiss a linarly homognous aggrgaor uncion M ( such ha U can b wrin in h orm U( m c c c V( M( m c c c. (2. Givn iniial walh uncion n n W h consumr sks o maximiz hr xpcd liim uiliy s ( m+ s + s + s + s n s 0 E U c c c subjc o h ollowing budg consrains * + i + j i j W p c p m p k pc+ pa + i + i + j + j i j W R p m R p k +Y + (2.2 (2.3 (2.4 * whr (0 is h consumr s subjciv discoun acor is h ru cos-o-living indx A mi + k j i j is h ral valu o h ass porolio. Non-monary ass j provids gross ra o rurn. Monary ass i having quaniy has a gross ra o rurn R +. R j + p m i i Th consumr s incom rom any ohr sourcs rcivd a h bginning o priod + is Y +. Th consumr also is subjc o h ransvrsaliy condiion s * lim pa 0. (2.5 + s s Th irs ordr condiions can b obaind as λ E λ R + j + p p + (2.6 U mi λ E λ + Ri + p p + (2.7 n whr U U( c c c λ E ( U c + U c + + U c. m n + + n 3. Risk-adjusd usr cos o monary asss 3.. Th hory W din h conmporanous ral usr-cos pric o h srvics o monary ass i o b h raio o h marginal uiliy o h monary ass h marginal uiliy o consumpion so ha U U mi m i i. U U+ n U+ n E ( c c c λ (3. 2
4 W dno h vcor o monary ass usr coss by ( 2. Wih h usr coss dind abov w can show ha h soluion valu o h xac monary aggrga M ( m can b rackd accuraly in coninuous im by h gnralizd Divisia indx as provd in h prc crainy spcial cas by Barn (980. i m l m l l i i Proposiion. s b h usr-cos-valuad xpndiur shar. Undr h wak- sparabiliy assumpion (2. w hav or any linarly homognous monary aggrgaor uncion M ( ha whr M M(m. dlog M s dlog m i i i (3.2 Th xac pric aggrga dual Π Π( o h monary quaniy aggrgaor τ uncion M M(m is asily compud rom acor rvrsal Π ( M ( m im i so ha imi i Π ( M ( m. (3.3 In coninuous im h usr cos pric dual can b rackd wihou rror by h Divisia usr cos pric indx o b Π i log i i dlog s d. (3.4 To g a mor convnin xprssion or h usr cos i w din h pricing krnl Q i λ λ. ( r j + R j + p p b h ral gross ra o rurn on non-monary ass + k j i + i + l r R p p b h ral gross ra o rurn on monary ass m + i. W can prov h ollowing. Proposiion 2. Givn h ral ra o rurn r i + on a monary ass h ral ra o rurn r j + on an arbirary non-monary ass h risk-adjusd ral usr-cos pric o h srvics o h monary ass can b obaind as whr i ( + ω E r ( + ω Er Er i j + j i + j + ω i + i+ (3.6 Cov ( Q r (3.7 Cov ( Q r. (3.8 ω j + j+ 3
5 Corollary. Undr uncrainy w can choos any non-monary ass as h bnchmark ass whn compuing h risk-adjusd usr-cos prics o h srvics o monary asss. Noic ha Proposiion 2 dosn rquir xisnc o a risk-r non-monary ass (in ral-rms. To s h inuiion o Proposiion 2 assum ha on o h non-monary asss is risk-r wih gross ral inrs ra o r a im. Furhr as provd by Barn (978 h crainy-quivaln usr cos i o a monary ass is W can prov h ollowing: whr i i + m i i + i + ω i i + ωi r ω i Cov( Q+ ri +. Thror i r Er r Er. (3.9 r (3.0 could b largr or smallr han h crainy- quivaln usr cos i dpnding on h sign o h covarianc bwn i Approximaion o h hory r + Q + All o h consumpion-basd ass pricing modls rquir us o mak xplici assumpions abou invsors uiliy uncions. An alrnaiv approach which is commonly pracicd in inanc is o approxima Q + by som simpl uncion o obsrvabl macroconomic acors ha ar blivd o b closly rlad o invsors marginal uiliy growh. For xampl h wll-known CAPM [Sharp (964 innr (965] approximas Q + by a linar uncion o h ra o rurn on h mark porolio. W show ha hr also xiss a similar CAPM-yp rlaionship among usr coss o risky monary asss undr h assumpion ha Q + is a linar uncion o h ra o rurn on a wll-divrsiid walh porolio Spciically din r A + o b h shar-wighd ra o rurn on h consumr s ass porolio including boh h monary asss mi ( i h non-monary asss k j ( j. Thn h radiional CAPM approximaion o Q + mniond abov is o h orm Q a + br A + whr a b can b im dpndn. Economric mhodology or possibl xnsions o h spciicaion can b ound in Barn Binnr (2004. φ i ϕ j dno h shar o m i k j rspcivly in h porolio s sock valu so ha mi mi φ i (3. A m + k l j l j 4
6 Thn by consrucion r ϕ j m k j + k l i l i φ r + ϕ r + A + i i + j j i j i j i j k j A. (3.2 whr φ + ϕ. (3.3 ΠA φi i + ϕi j whr j is h usr cos o non-monary ass j. W i j din Π A o b h usr cos o h consumr s ass walh porolio. Bu h usr cos j o vry non-monary ass is simply 0. Hnc quivalnly Π A φi i. Th rason is ha consumrs do no pay a pric in rms o orgon inrs or h monary srvics o non-monary asss sinc hy provid no monary srvics provid only hir invsmn ra o rurn. W can show ha our diniion o Π A is consisn wih Fishr s acor rvrsal s as ollows. Rsul: Th pair ( A Π A saisis acor rvrsal dind by: Π A m + A i i j j i j k i. (3.4 Obsrv ha h walh porolio is dirn rom h monary srvics aggrga M ( m. Th porolio wighs in h ass walh sock ar h mark-valu-basd shars whil h growh ra wighs in h monary srvics low aggrga ar h usr-cos-valuad shars. Suppos on o h non-monary asss is (locally risk-r wih gross ral inrs ra r l r E r j + or all j. I ollows ha h crainy quivaln usr cos o h ass r E r A + walh porolio is Π. W can prov h ollowing proposiion. Α r Proposiion 3. I on o h non-monary asss is (locally risk-r wih gross ral inrs ra r i Q+ a br A + whr r A + is h gross ral ra o rurn on h consumr s walh porolio hn h usr cos o any monary ass i is givn by ( Π Π (3.5 i i i A A 5
7 whr i Π r Eri + i r A ar h usr coss o ass i o h ass walh porolio rspcivly r ErA + Π A r ar h crainy-quivaln usr coss o ass i h ass walh porolio rspcivly. Th ba o ass i in quaion (3.5 is givn by i Cov ( r r Var ( r A + i + A +. (3.6 Proposiion 3 is vry similar o h sard CAPM ormula or ass rurns. In CAPM hory h xpcd xcss ra o rurn Er i + r on an individual ass is drmind by is covarianc wih h xcss ra o rurn on h mark porolio Er M + r in accordanc wih Er r + ( Er + r (3.7 i i M whr Cov( ri + r rm + r i Var( rm + r. This rsul implis ha ass i s risk prmium dpnds on is mark porolio risk xposur which is masurd by h ba o his ass. 4. Concluding rmarks Simpl sum monary aggrgas ra monary asss wih dirn ras o rurn as prc subsius. Barn ( showd ha h Divisia indx wih usr cos prics is a mor appropria masur or monary srvics drivd h ormula or h usr cos o monary ass srvics in h absnc o uncrainy. Barn iu Jnsn (997 xndd h Divisia monary quaniy indx o h cas o uncrain rurns risk avrsion. For risky monary asss howvr h magniud o h risk adjusmn o h crainy quivaln usr cos is unclar. Using a sard im-sparabl powr uiliy uncion Barn iu Jnsn (997 showd ha h dirnc bwn h unadjusd Divisia indx h indx xndd or risk is usually small. Howvr his rsul could b a consqunc o h sam problm ha causs h quiy prmium puzzl in h ass pricing liraur. Th consumpion-basd ass pricing modl wih mor gnral uiliy uncions mos noably hos ha ar inrmporally non-sparabl can rproduc h larg im-varying risk prmium obsrvd in h daa [Campbll Cochran (999]. W bliv ha similarly xndd ass pricing modls will provid largr mor accura CCAPM adjusmn o h usr coss o monary asss han hos ound in Barn iu Jnsn (997. Th currn papr xnds h basic rsul in Barn iu Jnsn (997 in ha mannr. Th proos mor discussion will b availabl in h ull papr now in working papr orm o appar in vol. no.. o h Annals o Financ as Barn Wu (
8 Rrncs Barn W. A. (978 Th usr cos o mony Economic rs Rprind in W. A. Barn A. Srlis (ds. (2000 Th Thory o Monary Aggrgaion Norh-Holl Amsrdam Chapr 6-0. Barn W. A. (980 Economic monary aggrgas: An applicaion o indx numbr aggrgaion hory Journal o Economrics Rprind in W. A. Barn A. Srlis (ds. (2000 Th Thory o Monary Aggrgaion Norh-Holl Amsrdam Chapr Barn W. A. (995 Exac aggrgaion undr risk in W. A. Barn M. Salls H. Moulin N. Schoild (ds Social Choic Wlar Ehics Cambridg Univrsiy Prss Cambridg Rprind in W. A. Barn A. Srlis (ds. (2000 Th Thory o Monary Aggrgaion Norh-Holl Amsrdam Chapr Barn W. A. (997 Th microconomic hory o monary aggrgaion in W. A. Barn (ds Nw Approachs o Monary Economics Cambridg Univrsiy Prss Cambridg Rprind in W. A. Barn A. Srlis (ds. (2000 Th Thory o Monary Aggrgaion Norh-Holl Amsrdam Chapr Barn W. A. (2003 Aggrgaion-horic monary aggrgaion ovr h Euro ara whn counris ar hrognous ECB Working Papr No. 260 Europan Cnral Bank Frankur. Barn W. A. J. Binnr (ds. (2004 Funcional Srucur Approximaion in Economrics Norh-Holl Amsrdam. Barn W. A. M. Hinich P. Yu (2000 Th xac horical raional xpcaions monary aggrga Macroconomic Dynamics Barn W. A. Y. iu (2000 Byond h risk nural uiliy uncion in M. T. Blongia J. E. Binnr (ds. Divisia Monary Aggrgas: Thory Pracic ondon Palgrav -27. Barn W. A. Y. iu M. Jnsn (997 CAPM risk adjusmn or xac aggrgaion ovr inancial asss Macroconomic Dynamics Rprind in W. A. Barn A. Srlis (ds (2000 Th Thory o Monary Aggrgaion Norh-Holl Amsrdam Chapr Barn W. A. A. Srlis (ds (2000 Th Thory o Monary Aggrgaion Norh- Holl Amsrdam Scion Barn W. A. Shu Wu (2004 On usr coss o risky monary asss Annals o Financ vol no. orhcoming. 7
9 Campbll J. Y. J. H. Cochran (999 By orc o habi: A consumpion-basd xplanaion o aggrga sock mark bhavior Journal o Poliical Economy innr J. (965 Th valuaion o risky asss h slcion o risky invsmns in sock porolios capial budgs Rviw o Economics Saisics Sharp W. F. (964 Capial ass prics: A hory o mark quilibrium undr condiions o risk Th Journal o Financ
CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano
Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th
More informationEconomics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison
Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd
More informationI) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning
I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic
More informationEconomics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison
conomics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 4/25/2011 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 21 1 Th Mdium Run ε = P * P Thr ar wo ways in which
More informationChapter 12 Introduction To The Laplace Transform
Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and
More information1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:
Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding
More informationEquity Premium in an Asset Pricing Model with Robust Control
Equiy Prmium in an Ass Pricing Modl wih Robus Conrol Eric F. Y. Lam * Grgory C. Chow (Working papr * Dparmn of Economics and Financ, Ciy Univrsiy of Hong Kong, Kowloon, Hong Kong Dparmn of Economics, Princon
More informationAn Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT
[Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI
More informationThe Science of Monetary Policy
Th Scinc of Monary Policy. Inroducion o Topics of Sminar. Rviw: IS-LM, AD-AS wih an applicaion o currn monary policy in Japan 3. Monary Policy Sragy: Inrs Ra Ruls and Inflaion Targing (Svnsson EER) 4.
More informationCPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees
CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs
More informationThemes. Flexible exchange rates with inflation targeting. Expectations formation under flexible exchange rates
CHAPTER 25 THE OPEN ECONOMY WITH FLEXIBLE EXCHANGE RATES Thms Flxibl xchang ras wih inlaion arging Expcaions ormaion undr lxibl xchang ras Th AS-AD modl wih lxibl xchang ras Macroconomic adjusmn undr lxibl
More informationAR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )
AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc
More informationBoyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors
Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar
More information14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions
4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway
More informationMidterm Examination (100 pts)
Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion
More informationOn the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument
Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn
More information14.02 Principles of Macroeconomics Problem Set 5 Fall 2005
40 Principls of Macroconomics Problm S 5 Fall 005 Posd: Wdnsday, Novmbr 6, 005 Du: Wdnsday, Novmbr 3, 005 Plas wri your nam AND your TA s nam on your problm s Thanks! Exrcis I Tru/Fals? Explain Dpnding
More informationElementary Differential Equations and Boundary Value Problems
Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ
More informationBoyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues
Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm
More informationMethodology for Analyzing State Tax Policy By Orphe Pierre Divounguy, PhD, Revised by Andrew J. Kidd, PhD (May 2018)
Mhodology for Analyzing Sa Tax Policy By Orph Pirr Divounguy, PhD, Rvisd by Andrw J. Kidd, PhD (May 2018) Inroducion To analyz how changs o ax policy impacs no only govrnmn rvnus bu also conomic aciviy
More informationChapter 9 Review Questions
Chapr 9 Rviw Qusions. Using h - modl, show ha if marks clar and agns hav raional xpcaions hn mporary shocks canno hav prsisn ffcs on oupu. If marks clar and agns hav raional xpcaions hn mporary produciviy
More informationSpring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review
Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an
More informationA Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate
A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;
More informationOn user costs of risky monetary assets. William A. Barnett and Shu Wu University of Kansas, Lawrence, Kansas
On user coss o risky moneary asses by William A. Barne and Shu Wu Universiy o Kansas, awrence, Kansas June 24, 2004 Forhcoming in he Annals o Finance, volume, no.. On user coss o risky moneary asses William
More informationUNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS
Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o
More informationCharging of capacitor through inductor and resistor
cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.
More informationH is equal to the surface current J S
Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion
More informationCSE 245: Computer Aided Circuit Simulation and Verification
CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy
More informationAli Karimpour Associate Professor Ferdowsi University of Mashhad. Reference: System Identification Theory For The User Lennart Ljung
SYSEM IDEIFICAIO Ali Karimpour Associa Prossor Frdowsi Univrsi o Mashhad Rrnc: Ssm Idniicaion hor For h Usr Lnnar Ljung Lcur 7 lcur 7 Paramr Esimaion Mhods opics o b covrd includ: Guiding Principls Bhind
More informationWave Equation (2 Week)
Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris
More informationThe Optimal Timing of Transition to New Environmental Technology in Economic Growth
h Opimal iming of ransiion o Nw Environmnal chnology in Economic Growh h IAEE Europan Confrnc 7- Spmbr, 29 Vinna, Ausria Akira AEDA and akiko NAGAYA yoo Univrsiy Background: Growh and h Environmn Naural
More informationLecture 1: Numerical Integration The Trapezoidal and Simpson s Rule
Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -
More informationTHE SHORT-RUN AGGREGATE SUPPLY CURVE WITH A POSITIVE SLOPE. Based on EXPECTATIONS: Lecture. t t t t
THE SHORT-RUN AGGREGATE SUL CURVE WITH A OSITIVE SLOE. Basd on EXECTATIONS: Lcur., 0. In Mankiw:, 0 Ths quaions sa ha oupu dvias from is naural ra whn h pric lvl dvias from h xpcd pric lvl. Th paramr a
More informationMundell-Fleming I: Setup
Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)
More informationSolutions to End-of-Chapter Problems for Chapters 26 & 27 in Textbook
Soluions o End-of-Chapr Problms for Chaprs 26 & 27 in Txbook Chapr 26. Answrs o hs Tru/Fals/Uncrain can b found in h wrin x of Chapr 26. I is lf o h sudn o drmin h soluions. 2. For his qusion kp in mind
More informationFinal Exam : Solutions
Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b
More information2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35
MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h
More informationMidterm exam 2, April 7, 2009 (solutions)
Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions
More informationChapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System
EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +
More informationHomework #2: CMPT-379 Distributed on Oct 2; due on Oct 16 Anoop Sarkar
Homwork #2: CMPT-379 Disribud on Oc 2 du on Oc 16 Anoop Sarkar anoop@cs.su.ca Rading or his homwork includs Chp 4 o h Dragon book. I ndd, rr o: hp://ldp.org/howto/lx-yacc-howto.hml Only submi answrs or
More informationXV Exponential and Logarithmic Functions
MATHEMATICS 0-0-RE Dirnial Calculus Marin Huard Winr 08 XV Eponnial and Logarihmic Funcions. Skch h graph o h givn uncions and sa h domain and rang. d) ) ) log. Whn Sarah was born, hr parns placd $000
More informationNEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA
NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals
More informationDEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018
DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion
More informationThe Mundell-Fleming Model: Stochastic Dynamics
4 --------------------------------- Th Mundll-Flming Modl: Sochasic Dynamics Th Mundll-Flming modl, which is sill h workhors modl of inrnaional macroconomics, can now b cas in a sochasic framwork. Such
More informationOn the Speed of Heat Wave. Mihály Makai
On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.
More informationCHAPTER CHAPTER15. Financial Markets and Expectations. Prepared by: Fernando Quijano and Yvonn Quijano
Financial Marks and Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER15 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard Bond Prics and Bond Yilds Figur 15-1 U.S. Yild Curvs:
More informationUniversity of Kansas, Department of Economics Economics 911: Applied Macroeconomics. Problem Set 2: Multivariate Time Series Analysis
Univrsiy of Kansas, Dparmn of Economics Economics 9: Applid Macroconomics Problm S : Mulivaria Tim Sris Analysis Unlss sad ohrwis, assum ha shocks (.g. g and µ) ar whi nois in h following qusions.. Considr
More informationForeign Exchange Reserves and Inflation: An Empirical Study of Five East Asian Economies
Th Empirical Economics Lrs, 8(5): (May 009) ISSN 68 8997 Forign Exchang Rsrvs and Inlaion: An Empirical Sudy o Fiv Eas Asian Economis Mi-Yin Lin * Dparmn o Economics, Shih Hsin Univrsiy, Taiwan Ju-Shyan
More information7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS *
Andri Tokmakoff, MIT Dparmn of Chmisry, 5/19/5 7-11 7.4 QUANTUM MECANICAL TREATMENT OF FLUCTUATIONS * Inroducion and Prviw Now h origin of frquncy flucuaions is inracions of our molcul (or mor approprialy
More informationChapter 17 Handout: Autocorrelation (Serial Correlation)
Chapr 7 Handou: Auocorrlaion (Srial Corrlaion Prviw Rviw o Rgrssion Modl o Sandard Ordinary Las Squars Prmiss o Esimaion Procdurs Embddd wihin h Ordinary Las Squars (OLS Esimaion Procdur o Covarianc and
More informationInstitute of Actuaries of India
Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6
More information2. The Laplace Transform
Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin
More informationChapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu
Chapr 3: Fourir Rprsnaion of Signals and LTI Sysms Chih-Wi Liu Oulin Inroducion Complx Sinusoids and Frquncy Rspons Fourir Rprsnaions for Four Classs of Signals Discr-im Priodic Signals Fourir Sris Coninuous-im
More informationLet s look again at the first order linear differential equation we are attempting to solve, in its standard form:
Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,
More informationEstimation of Metal Recovery Using Exponential Distribution
Inrnaional rd Journal o Sinii sarh in Enginring (IJSE).irjsr.om Volum 1 Issu 1 ǁ D. 216 ǁ PP. 7-11 Esimaion o Mal ovry Using Exponnial Disribuion Hüsyin Ankara Dparmn o Mining Enginring, Eskishir Osmangazi
More informationTransfer function and the Laplace transformation
Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and
More informationApplied Statistics and Probability for Engineers, 6 th edition October 17, 2016
Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...
More informationEE 434 Lecture 22. Bipolar Device Models
EE 434 Lcur 22 Bipolar Dvic Modls Quiz 14 Th collcor currn of a BJT was masurd o b 20mA and h bas currn masurd o b 0.1mA. Wha is h fficincy of injcion of lcrons coming from h mir o h collcor? 1 And h numbr
More informationEffect of sampling on frequency domain analysis
LIGO-T666--R Ec sampling n rquncy dmain analysis David P. Nrwd W rviw h wll-knwn cs digial sampling n h rquncy dmain analysis an analg signal, wih mphasis n h cs upn ur masurmns. This discussin llws h
More informationThe transition:transversion rate ratio vs. the T-ratio.
PhyloMah Lcur 8 by Dan Vandrpool March, 00 opics of Discussion ransiion:ransvrsion ra raio Kappa vs. ransiion:ransvrsion raio raio alculaing h xpcd numbr of subsiuions using marix algbra Why h nral im
More informationDecline Curves. Exponential decline (constant fractional decline) Harmonic decline, and Hyperbolic decline.
Dlin Curvs Dlin Curvs ha lo flow ra vs. im ar h mos ommon ools for forasing roduion and monioring wll rforman in h fild. Ths urvs uikly show by grahi mans whih wlls or filds ar roduing as xd or undr roduing.
More information4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b
4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs
More informationVoltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!
Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr
More informationThe Cross-Section of Expected Returns and Mixed Data Sampling Regressions
Th Cross-Scion of Expcd Rurns and Mixd Daa Sampling Rgrssions Mariano Gonzálz (Univrsidad CEU Cardnal Hrrra) Juan Nav (Univrsidad CEU Cardnal Hrrra) Gonzalo Rubio (Univrsidad CEU Cardnal Hrrra) This vrsion:
More informationDouble Slits in Space and Time
Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an
More informationSubjective Discounting in an Exchange Economy
Subjciv Discouning in an Exchang Economy Erzo G. J. Lumr Univrsiy of Minnsoa, Fdral Rsrv Bank of Minnapolis, and Cnr for Economic Policy Rsarch Thomas Marioi London School of Economics, Univrsié d Toulous,
More informationB) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of
Sampl Final 00 1. Suppos z = (, y), ( a, b ) = 0, y ( a, b ) = 0, ( a, b ) = 1, ( a, b ) = 1, and y ( a, b ) =. Thn (a, b) is h s is inconclusiv a saddl poin a rlaiv minimum a rlaiv maimum. * (Classiy
More informationEXTRACTION OF FINANCIAL MARKET EXPECTATIONS ABOUT INFLATION AND INTEREST RATES FROM A LIQUID MARKET (*)
ETRCTION OF FINNCIL MRKET EPECTTIONS OUT INFLTION ND INTEREST RTES FROM LIQUID MRKET (*) Ricardo Gimno and José Manul Marqués (**) NCO DE ESPÑ (*) Th rsuls and opinions xprssd in his papr ar hos of h auhors.
More informationA MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA
MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional
More informationBritish Journal of Economics, Finance and Management Sciences 64 October 2011, Vol. 2 (1)
riish Journal of conomics, Financ and Managmn Scincs 64 Ocobr 2011, ol. 2 (1 An mpirical valuaion of Using h Rsidual Incom Modl for rdicion of Sock ric Mhdi Sarikhani Dparmn of Accouning, Safashahr ranch,
More informationAvailable online at ScienceDirect
Availabl onlin a www.scincdirc.com ScincDirc Procdia Economics and Financ 8 ( 204 ) 67 677 s Inrnaional Confrnc 'Economic Scinific Rsarch - Thorical, Empirical and Pracical Approachs', ESPERA 203 Th accuracy
More informationPredicting Growth Components Unemployment, Housing Prices and Consumption Using Both Government and Corporate Yield Curves
Inrnaional Journal of Economics and Financ; Vol. 10, No. 6; 2018 ISSN 1916-971X E-ISSN 1916-9728 Publishd by Canadian Cnr of Scinc and Educaion Prdicing Growh Componns Unmploymn, Housing Prics and Consumpion
More informationReview Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )
Rviw Lcur 5 Firs-ordr circui Th sourc-fr R-C/R-L circui Sp rspons of an RC/RL circui v( ) v( ) [ v( 0) v( )] 0 Th i consan = RC Th final capacior volag v() Th iniial capacior volag v( 0 ) Volag/currn-division
More informationLogistic equation of Human population growth (generalization to the case of reactive environment).
Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru
More information+ f. e f. Ch. 8 Inflation, Interest Rates & FX Rates. Purchasing Power Parity. Purchasing Power Parity
Ch. 8 Inlation, Intrst Rats & FX Rats Topics Purchasing Powr Parity Intrnational Fishr Ect Purchasing Powr Parity Purchasing Powr Parity (PPP: Th purchasing powr o a consumr will b similar whn purchasing
More informationTaylor Principle Supplements the Fisher Effect: Empirical Investigation under the US Context
Taylor Principl Supplmns h Fishr Effc: Empirical Invsigaion undr h US Conx Mohammd Saiful ISLAM Mohammad Hasma ALI 2 ABSTRACT This papr rviws h shor- and long-run dynamics of inrs ra and inflaion of h
More information3.4 Repeated Roots; Reduction of Order
3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &
More informationDoes Noise Create the Size and Value Effects?
Dos Nois Cra h Siz and Valu ffcs? Robr Arno Rsarch Affilias, LLC Jason Hsu Rsarch Affilias, LLC and Univrsiy of California, Irvin Jun Liu Univrsiy of California, San Digo Harry Markowiz Univrsiy of California,
More informationANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11
8 Jun ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER SECTION : INCENTIVE COMPATABILITY Exrcis - Educaional Signaling A yp consulan has a marginal produc of m( ) = whr Θ = {,, 3} Typs ar uniformly disribud
More informationChap.3 Laplace Transform
Chap. aplac Tranorm Tranorm: An opraion ha ranorm a uncion ino anohr uncion i Dirniaion ranorm: ii x: d dx x x Ingraion ranorm: x: x dx x c Now, conidr a dind ingral k, d,ha ranorm ino a uncion o variabl
More informationSOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz
STAT UIUC Pracic Problms #7 SOLUTIONS Spanov Dalpiaz Th following ar a numbr of pracic problms ha ma b hlpful for compling h homwor, and will lil b vr usful for suding for ams.. Considr wo coninuous random
More informationLagrangian for RLC circuits using analogy with the classical mechanics concepts
Lagrangian for RLC circuis using analogy wih h classical mchanics concps Albrus Hariwangsa Panuluh and Asan Damanik Dparmn of Physics Educaion, Sanaa Dharma Univrsiy Kampus III USD Paingan, Maguwoharjo,
More informationINTERNATIONAL PARITY CONDITIONS AND MARKET RISK
INTERNATIONAL PARITY CONDITIONS AND MARKET RISK Thomas C. Chiang, Ph.D. Marshall M. Ausin Profssor of Financ Dparmn of Financ, LBow Collg of Businss, Drxl Univrsiy 34 Chsnu Sr, Philadlphia, Pa. 94, USA
More informationEssential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems
Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor
More informationInternational Parity Conditions and Market Risk
Inrnaional Pariy Condiions and Mark Risk Thomas C. Chiang, Ph.D. Ausin Profssor of Financ Drxl Univrsiy Da: March 5, 23 Kywords: Inrnaional Ass Pricing, Purchasing Powr Pariy, Uncovrd Inrs Pariy, Exchang
More informationA THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER
A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:
More informationAmbiguity Aversion, Generalized Esscher Transform, And Catastrophe Risk Pricing
Ambiguiy Avrsion,Gnralizd Esschr ransform and Caasroph Risk Pricing Ambiguiy Avrsion, Gnralizd Esschr ransform, And Caasroph Risk Pricing Wng ZHU School of Financ Shanghai Univrsiy of Financ and Economics
More informationConsider a system of 2 simultaneous first order linear equations
Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm
More informationEXERCISE - 01 CHECK YOUR GRASP
DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc
More informationCHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)
CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium
More informationA NONHOMOGENEOUS BACKWARD HEAT PROBLEM: REGULARIZATION AND ERROR ESTIMATES
Elcronic Journal o Dirnial Equaions, Vol. 88, No. 33, pp. 1 14. ISSN: 17-6691. URL: hp://jd.mah.xsa.du or hp://jd.mah.un.du p jd.mah.xsa.du loin: p A NONHOMOGENEOUS BACKWARD HEA PROBLEM: REGULARIZAION
More informationPhysics 160 Lecture 3. R. Johnson April 6, 2015
Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx
More informationChapter 13 GMM for Linear Factor Models in Discount Factor form. GMM on the pricing errors gives a crosssectional
Chaptr 13 GMM for Linar Factor Modls in Discount Factor form GMM on th pricing rrors givs a crosssctional rgrssion h cas of xcss rturns Hors rac sting for charactristic sting for pricd factors: lambdas
More informationSection. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by
HIERARCHICAL MULTIPLE CRITERIA OPTIMIZATION OF MAINTENANCE ACTIVITIES ON POWER DISTRIBUTION NETWORKS Problm Rprsaion EPDS comprising: Subsaions, primary nworks, scondary, nworks; Fdrs (cabls, lins, pols,
More informationLaplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011
plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr
More informationDemand Shocks, Credibility and Macroeconomic Dynamics
Dmand Shocks, Crdibiliy and Macroconomic Dynamics José García-Solans* and Carmn Marín-Marínz** Univrsidad d Murcia Jun 2013 Absrac: In his papr w build and simula an opn macroconomic modl o invsiga h dynamic
More informationInstructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems
Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi
More informationOn Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems
In. J. Nonlinar Anal. Appl. 4 (213) No. 1, 7-2 ISSN: 28-6822 (lcronic) hp://www.ijnaa.smnan.ac.ir On Ψ-Condiional Asympoic Sabiliy of Firs Ordr Non-Linar Marix Lyapunov Sysms G. Sursh Kumar a, B. V. Appa
More informationfiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are
MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor
More informationPoisson process Markov process
E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc
More information