Comparative Analysis of Stock Price Simulation and its European-Styled Call Options

Size: px
Start display at page:

Download "Comparative Analysis of Stock Price Simulation and its European-Styled Call Options"

Transcription

1 Appl Math Inf 6-3, () 887 Comparatve Analyss of tok Pre mulaton an ts European-tyle Call Optons Yuje Cu¹ an Bngxng Lu² College of sene,north Chna Unversty of Tehnology, Bejng 44 P R Chna Emal: yj@nuteu n The enter of Computer an Net Management, North Chna Unversty of Tehnology, Bejng, Chna Emal: lu@nuteu n Reeve: Mar ; Revse Jul ; Aepte Aug Reeve: Jul 8, ; Revse Ot 4, ; Aepte Jan 6, Abstrat: Wth the popularzaton of omputer applaton tehnology, smulaton n fnane has beome an mportant metho for fnanal rsk management We ll start wth the applaton of the ranom walk moel n smulaton of stok pre Then, we ll prove an analyss of the rate of return of Chna Petroleum, the bggest lstng orporaton n Chna, an a smulaton of t Furthermore, we obtan expressons of European-style all optons base on Ito s lemma An then a smulaton s mae We analyze the effet of the varane of stok smulate pre an the tme for European-style all optons whh have a rtal an pratal sgnfane n bulng refne prng moel for the fnanal ervaton Keywors: European tyle all optons, smulaton, Ito s lemma Applaton of the Moel of Ranom walk n tok Pre mulaton Wth the popularzaton of omputer applaton tehnology, smulaton n fnane beomes an mportant metho for fnanal rsk management[,4] Here we hoose a typal stok for researh, for the reason that there s a lose relatonshp between the pre of European style all optons an the varane of stok pre[,3] An meanwhle we prove a smulaton[7] for the stok s pre Thereafter, base on the European style all optons of the smulate pre of the stok, we smulate the pre varane of the optons Ths smulaton has a pratal sgnfane n evelopment an applaton of the fnanal ervaton[], an also a pratal sgnfane for the fnanal ervaton n exertng a reatve effet n moern fnanal market[4] In the ase of orporaton s goo operaton an management an goo operaton of seurty market, base on experene, we sover a lose relatonshp between annual average rate of return of a stok on nvestment an nvestment tme[5] Frstly, we analyze the relatonshp between the mean value of rate of return an the tme pero, so that we fn a onrete relatonshp between annual M M M t M t T t e ln e e (4) Apple Mathemats & Informaton enes An Internatonal Journal average rate of return of a stok an tme nterval step Let t be the smaller tme nterval step How oes tme nterval affet return strbuton when the step turns to be short nterval samplng? Wthout any nvolve of ranomness, we have known that there s a proporton relatonshp between bons return an tme step Let be ts annual average rate of return of a stok on nvestment, then unt rate of return wth a step of t an be: t Or: t () Let be the ntal stok pre, then stok pre after one tme step turns to be: t () tok pre after two tme steps NP Natural enes Publshng Cor t (3) We an easly erve that stok pre after M tme steps turns to be: Ths s the approxmate exponental relatonshp between stok pre an tme, where T Mt

2 888 Cu, Lu: Comparatve Analyss of tok Pre mulaton Wth further onseraton for volatlty of rate of return, no matter how small we subve the tme, the varane of volatlty for rate of return n a fxe observaton pero wll not nrease nfntely By average, when tme step t turns to be very small, the expresson for stanar evaton of rate of return s: Where s N N R R (5) R s the rate of return n a sngle step In orer to ensure the fnte of varane, every tem n the braket n (5) must have the same orer wth t, n other wor, that s O t By average, the stanar evaton shoul have the same orer wth t, n other wor, that s O t In orer to show the volatlty of the rate of return, we let the volatlty satsfes the onton of normalty an refne the moel as follows: t t (6) where s the stanar evaton of annual return on assets, we use to show the unertanty of return; s the ranom number of stanar normal strbuton Therefore we an get the expresson of the moel of ranom walk: t t (7) or: / t t (8) Where, represents renewals of Let t be X, then X has a mean value of zero, an a varane of t Aorng to Ito s lemma, expresson (8) an be transforme nto: log t X (9) Let be the ntal value, then the stok pre at tme t s: t exp t t X () When the tme step nrease by nrement of t wll be: t t t t t, the exp t t () eleton of tok an mulaton of tok Pre We selet Chna Petroleum (6857)[8], whh exert a sgnfant effet on eonomy an whh has a bggest market value, as researh objet The eonom sgnfane of ths kn of stuy s very mportant We hoose the losng pre from Janst 9 to Apr 7th of Chna Petroleum as unerlyng stok pre,,(on the ate we hoose, there must be a trae) The ata erve from Netease atabase There are 8 val ata pont exept the ate wthout traes Frstly, we take on the test for normal strbuton, we hoose k-s One-ample Kolmogorov-mrnor test for these 8 ata pont, an get results as follows

3 Cu, Lu: Comparatve Analyss of tok Pre mulaton 889 Wth a sgnfane level of 5, we onser that the aly return of ths stok vares sgnfantly Table :One-ample Kolmogorov-mrnov Test Normal Parametersa Most Extreme Dfferenes N 8 Mean 567 t Devaton 4998 Absolute 7 Postve 7 Negatve -58 Kolmogorov-mrnov Z 998 Asymp g (-tale) a Test strbuton s Normal Let be the annual average rate of return, our naton s one year fxe epost rate s 35%, wth onseraton of nflaton, we assume rsk-free nterest rate nto three levels: hgh (7%), meum (5%), low (3%) For the reason that our naton s now n the pero of nflaton, we set rsk-free nterest rate over one year The step s, flutuaton rate s ae up to 5% We smulate n three stuatons, an hoose one path n every stuaton, as shown n follow fgure 3 Therefore, by means of a large number of smulatons, we an alulate the average path of stok pre varaton, whh exert an mportant effet n fnanal rsk management[9] x The average stok pre aorng to hgh nflaton rate, meum nflaton rate, an low nflaton rate after one year (n other wors, 5 trae ay) oul be Yuan, 5776 Yuan, an 5398 Yuan 3 Funamental Analyss of European tyle all Optons Base on Ito s lemma, we erve the formula of Blak- holes: V t V V r rv () V, s the present value of the ervaton whh has a value of an vares by tme t We foun the European tyle all Optons expresson as follows uner the onton of the formula of Blak-holes, the maturty ate T of European tyle all Optons satsfes: Where t max X, (), we foun: T t X e r N, aorng to expresson N (3) Where s the present value of the all optons, t s the present tme log T t / X r T t log T t / X r T t

4 89 Cu, Lu: Comparatve Analyss of tok Pre mulaton where X s the strke pre of maturty ate T of the unerlyng stok strbuton funton N s stanar normal 4 Calulatons for Relate Parameter of Equty Optons The onton for bulng equty optons s rgor, therefore we an only bul approxmate the moel of prng by means of Blak-holes formula Here we only analyze the prng moel of European style all optons Aorng to our statstal researh, we onser that stok whh has a relatvely small market value annot satsfy the onton of Blak-holes formula beause of ts volatlty s relatvely bg Therefore we stll use Chna Petroleum whose market value s bg as the unerlyng of the equty optons to bul analyss moel We gve a onverson for the rate of return n Part as follows: r 68, 5 47 Let T t be a typal analyss pero of one year, X be the strke pre of all optons We assume that s % hgher than reent average pre as the funamental analyss onton Base on t, we prove smulatons for all optons 5 mulaton Analyss of Call Optons After alulatons of relate parameter, we bul the moel of the stok of Chna Petroleum by means of Blak-holes Prng Moel an A software, an aheve relevant fgures as follows 5 the nfluene of varane of stok pre on the value of all optons We selet the losng pre, 993 Yuan, of Chna Petroleum on Apr 8th as stanar pre, an strke pre as X 93 wth an nrement of % for the losng pre Therefore we prove the value varane of European style all optons nfluene by unerlyng stok pre We fnshe expete smulaton fgure as follows fg 4 5 affetons of tme an pre of the stok hanges n all Optons Let the tme pero be months, n other wors, 5 trae ays, where rt t X e N N We shoul note that an are stll funtons of tme T t We prove the smulaton fgure of relatonshp between the value of European style all optons an the pre of unerlyng stok, as well as relatonshp between the value of European style all optons an tme (as follows fg 5) C Fgure 4 Relatonshp between European style all optons an the value of stok s 8 Fgure5 Relatonshp between European all optons an the pre of unerlyng stok(s), tme (t) 6 Comparatve Analyss of Results of the two Methos an the Conluson of our Researh () Aorng to the efnton of European style all optons, the maturty ate T satsfes max X,, an annot be operate n avane Wthout the onseraton of trang fees, base on the efnton of European style all optons we an erve that the value of European style all optons on maturty ay are () (hgh nflaton, meum nflaton, low nflaton) t

5 Cu, Lu: Comparatve Analyss of tok Pre mulaton 89 whh means that the varaton of nflaton an nfluene the value of equty optons (3) Value of optons alulate by the expressons of European style optons We prove fgures uner hgh, meum, an low nflaton, an smulaton results are as follows: (4) Comparatve analyss between absolute error an relatve error The smulaton results base on European-style optons are slghtly larger than those retly erve from the efnton of equty optons The absolute error s below % whle the relatve error s below % The omparson tells us that these two results are losely relate, but whether the smulaton results are relate to atual values epens on the evaluaton of nflaton Of ourse, the smple assumpton of hgh, meum, an low nflaton s far from enough an from ths perspetve, the alulaton expresson of Europeanstyle optons s better than that by efnton Of ourse, all optons an be nfluene by the rate of nterest, the volatlty of unerlyng stok pre, the senstvty of all optons to unerlyng stok pre an so on These sussons are pratally benefal n bulng omplete prng moel of fnanal ervaton an fnanal market whh wll exert effet on mprovng eonomy Aknowlegements Ths work s supporte by the entf Researh Common Program of Bejng Munpal Commsson of Euaton #KM9, Thanks for the help Referenes [] Zhu hwu Fnanal Calulaton an Moelng: Theory, The Algorthm an A Program 53 (Tsnghua Unversty Press, Bejng, 6) [] Paul Wlmott translaton by Lu lxn et Fnanal Engneerng an Rsk Management Tehnques, 369(Mehanal Inustry Press, Bejng, 9) [3] Blak,F an M holes The Prng of Optons for Alternatves tohast Proesses Journal of Poltal Eonomy, 5~ 6 (8) (973) [4] Blak F,Jensen M,holes M The Captal Asset Prng Moel: ome Empral Tests tues n the Theory of Captal Markets, (Praeger, New York, 97) [5] Wllam F harpe, Goron JAlexaner an Jeffery VBaley: Investments 5th e translaton by Zhao xjun, 34 (Prente Hall In,996) [6] D Yeung an L Petrosyan, Cooperatve tohast Dfferental Games (prnger, New York, 6) [7] helson M Ross, mulaton, 98 (Turng press, 6) [8] Yuje Cu s an expert n Apple mathemats statsts an s presently employe as NCUT assoate Professor at Bejng, Chnahe has been aware Chna sentf researh n statsts Awar (seon prze) by Natonal Bureau of tatsts of Chna n 4, he has been an nvte speaker of number of onferenes an has publshe more than 4 researh artles n repute journals of mathematal an management senes Bngxng Lu s an nstrutor of the Computers an Network Management Center, North Chna Unversty of Tehnology He earne hs Master Degree of ene an engneerng from North Chna Unversty of Tehnology Hs researh nterests nlue network amnstraton, network seurty an network arhteture analyss

Basket options and implied correlations: a closed form approach

Basket options and implied correlations: a closed form approach Basket optons and mpled correlatons: a closed form approach Svetlana Borovkova Free Unversty of Amsterdam CFC conference, London, January 7-8, 007 Basket opton: opton whose underlyng s a basket (.e. a

More information

Asian basket options. in oil markets

Asian basket options. in oil markets Asan basket optons and mpled correlatons n ol markets Svetlana Borovkova Vre Unverstet Amsterdam, he etherlands Jont work wth Ferry Permana (Bandung) Basket opton: opton whose underlyng s a basket (e a

More information

Survey of Math Test #3 Practice Questions Page 1 of 5

Survey of Math Test #3 Practice Questions Page 1 of 5 Test #3 Practce Questons Page 1 of 5 You wll be able to use a calculator, and wll have to use one to answer some questons. Informaton Provded on Test: Smple Interest: Compound Interest: Deprecaton: A =

More information

Abstract The R chart is often used to monitor for changes in the process variability. However, the standard

Abstract The R chart is often used to monitor for changes in the process variability. However, the standard An Alternatve to the Stanar Chart chael B.C. Khoo an H.C. Lo School of athematcal Scences, Unverst Sans alaysa, 800 nen, Penang, alaysa Emal: mkbc@usm.my & hclo@cs.usm.my Abstract The chart s often use

More information

Future value of an annuity

Future value of an annuity Announcements The secon hour-exam wll be hel on Fray, July 12. The use of cell phones an other wreless evces s not permtte on the exam. You wll nee to brng a separate calculator for the exam. Sharng of

More information

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Proceedngs of the 2nd Internatonal Conference On Systems Engneerng and Modelng (ICSEM-13) Research on the Proft Dstrbuton of Logstcs Company Strategc Allance Based on Shapley Value Huang Youfang 1, a,

More information

An Economic Analysis of Interconnection Arrangements between Internet Backbone Providers

An Economic Analysis of Interconnection Arrangements between Internet Backbone Providers ONLINE SUPPLEMENT TO An Eonom Analyss of Interonneton Arrangements between Internet Bakbone Provders Yong Tan Unversty of Washngton Busness Shool Box 353 Seattle Washngton 9895-3 ytan@uwashngtonedu I Robert

More information

The vertical differentiation model in the insurance market

The vertical differentiation model in the insurance market The vertal dfferentaton model n the nsurane market Mahto Okura * bstrat Ths note exlores the vertal dfferentaton model n the nsurane market. The man results are as follows. Frst, the eulbrum re dfferental

More information

ENHANCING BASEL METHOD VIA CONDITIONAL DISTRIBUTIONS THAT CAPTURE STRONGER CONNECTION AMONG CREDIT LOSSES IN DOWNTURNS

ENHANCING BASEL METHOD VIA CONDITIONAL DISTRIBUTIONS THAT CAPTURE STRONGER CONNECTION AMONG CREDIT LOSSES IN DOWNTURNS ENHANCING BASEL METHOD VIA CONDITIONAL DISTRIBUTIONS THAT CAPTURE STRONGER CONNECTION AMONG CREDIT LOSSES IN DOWNTURNS Fernando F. Morera Credt Researh Centre, Unversty of Ednburgh Emal: F.F.Morera@sms.ed.a.uk

More information

Study on Trade Restrictiveness of Agricultural Policies in Iran

Study on Trade Restrictiveness of Agricultural Policies in Iran Internatonal Journal of Agrultural Sene and Researh Volume, Number 1, Wnter 011(Seral #) Study on Trade Restrtveness of Agrultural Poles n Iran G. rouz 1 *; R. Moghaddas 1 ; S. Yazdan 1: Department of

More information

BROOKINGS DISCUSSION PAPERS IN INTERNATIONAL ECONOMICS

BROOKINGS DISCUSSION PAPERS IN INTERNATIONAL ECONOMICS BROOKINGS DISCUSSION PAPERS IN INTERNATIONAL ECONOMICS No. 55 CHANGES IN EQUITY RISK PERCEPTIONS: GLOBAL CONSEQUENCES AND POLICY RESPONSES Warwk J. MKbbn and Davd Vnes February Warwk J. MKbbn s a professor

More information

Strategic Dynamic Sourcing from Competing Suppliers with Transferable Capacity Investment

Strategic Dynamic Sourcing from Competing Suppliers with Transferable Capacity Investment Strateg Dynam Sourng from Competng Supplers wth Transferable Capaty nvestment Cuhong L Laurens G. Debo Shool of Busness, Unversty of Connetut, Storrs, CT 0669 The Booth Shool of Busness, Unversty of Chago,

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

A Bootstrap Confidence Limit for Process Capability Indices

A Bootstrap Confidence Limit for Process Capability Indices A ootstrap Confdence Lmt for Process Capablty Indces YANG Janfeng School of usness, Zhengzhou Unversty, P.R.Chna, 450001 Abstract The process capablty ndces are wdely used by qualty professonals as an

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu Rasng Food Prces and Welfare Change: A Smple Calbraton Xaohua Yu Professor of Agrcultural Economcs Courant Research Centre Poverty, Equty and Growth Unversty of Göttngen CRC-PEG, Wlhelm-weber-Str. 2 3773

More information

Carbon Price Risk Influence on GenCo s Portfolio Optimization

Carbon Price Risk Influence on GenCo s Portfolio Optimization Carbon Pre Rsk nfluene on enco s Portfolo Optmzaton Parul Mathura Department of Eletral Engneerng, Malavya Natonal nsttute of Tehnology Japur, Japur, nda parulvj4@gmal.om Abstrat Worldwde stress on low

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University Chapter 6: n Economc pprasal Technque: PBP and RR The Purpose of n Economc pprasal n economc apprasal s a ven to accomplsh a corporate objectve. In other words, t s commensurate wth evaluatng the corporate

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Multifactor Term Structure Models

Multifactor Term Structure Models 1 Multfactor Term Structure Models A. Lmtatons of One-Factor Models 1. Returns on bonds of all maturtes are perfectly correlated. 2. Term structure (and prces of every other dervatves) are unquely determned

More information

Trade with Endogenous Market Power under Asymmetric and Incomplete Information

Trade with Endogenous Market Power under Asymmetric and Incomplete Information Trae wth Enogenous Market Power uner Asymmetr an Inomplete Informaton By Mantra A Rakotoarsoa Eonomst Trae an Markets Dvson Eonom an Soal Development Department Foo an Agrulture Organzaton of the Unte

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

Data Mining Linear and Logistic Regression

Data Mining Linear and Logistic Regression 07/02/207 Data Mnng Lnear and Logstc Regresson Mchael L of 26 Regresson In statstcal modellng, regresson analyss s a statstcal process for estmatng the relatonshps among varables. Regresson models are

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

Jean-Paul Murara, Västeras, 26-April Mälardalen University, Sweden. Pricing EO under 2-dim. B S PDE by. using the Crank-Nicolson Method

Jean-Paul Murara, Västeras, 26-April Mälardalen University, Sweden. Pricing EO under 2-dim. B S PDE by. using the Crank-Nicolson Method Prcng EO under Mälardalen Unversty, Sweden Västeras, 26-Aprl-2017 1 / 15 Outlne 1 2 3 2 / 15 Optons - contracts that gve to the holder the rght but not the oblgaton to buy/sell an asset sometmes n the

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

Modeling autocallable structured products

Modeling autocallable structured products Orgnal Artle Modelng autoallable strutured produts Reeved (n revsed form): 22nd September 2011 Geng Deng PhD, FRM, s Dretor of Researh at Seurtes Ltgaton and Consultng Group, In. Dr Deng holds a BS n Appled

More information

P. Manju Priya 1, M.Phil Scholar. G. Michael Rosario 2, Associate Professor , Tamil Nadu, INDIA)

P. Manju Priya 1, M.Phil Scholar. G. Michael Rosario 2, Associate Professor , Tamil Nadu, INDIA) International Journal of Computational an Applie Mathematics. ISSN 89-4966 Volume, Number (07 Research Inia Publications http://www.ripublication.com AN ORDERING POLICY UNDER WO-LEVEL RADE CREDI POLICY

More information

Understanding price volatility in electricity markets

Understanding price volatility in electricity markets Proceedngs of the 33rd Hawa Internatonal Conference on System Scences - 2 Understandng prce volatlty n electrcty markets Fernando L. Alvarado, The Unversty of Wsconsn Rajesh Rajaraman, Chrstensen Assocates

More information

Impacts of Population Aging on Economic Growth and Structure Change in China

Impacts of Population Aging on Economic Growth and Structure Change in China Impacts of Populaton Agng on Economc Growth and Structure Change n Chna The feature of Chnese demographc structure s changng from a hgh fertlty rate, hgh death rate and low lfe expectancy to low fertlty

More information

Default, Electoral Uncertainty and the Choice of Exchange Regime

Default, Electoral Uncertainty and the Choice of Exchange Regime Default, Eletoral Unertanty and the Choe of Exhange egme Carsten Hefeker HWWA DISCUSSION PAPE 98 Hamurgshes Welt-Wrtshafts-Arhv (HWWA) Hamurg Insttute of Internatonal Eonoms 004 ISSN 1616-4814 Hamurgshes

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange)

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange) Internatonal Journal of Scence and Research (IJSR) ISS (Onlne): 319-7064 Index Coperncus Value (013): 6.14 Impact Factor (013): 4.438 Optmal Portfolo Constructon (A Case Study of LQ45 Index n Indonesa

More information

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison

ISyE 512 Chapter 9. CUSUM and EWMA Control Charts. Instructor: Prof. Kaibo Liu. Department of Industrial and Systems Engineering UW-Madison ISyE 512 hapter 9 USUM and EWMA ontrol harts Instructor: Prof. Kabo Lu Department of Industral and Systems Engneerng UW-Madson Emal: klu8@wsc.edu Offce: Room 317 (Mechancal Engneerng Buldng) ISyE 512 Instructor:

More information

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China

Welfare Aspects in the Realignment of Commercial Framework. between Japan and China Prepared for the 13 th INFORUM World Conference n Huangshan, Chna, July 3 9, 2005 Welfare Aspects n the Realgnment of Commercal Framework between Japan and Chna Toshak Hasegawa Chuo Unversty, Japan Introducton

More information

Chapter 3 Descriptive Statistics: Numerical Measures Part B

Chapter 3 Descriptive Statistics: Numerical Measures Part B Sldes Prepared by JOHN S. LOUCKS St. Edward s Unversty Slde 1 Chapter 3 Descrptve Statstcs: Numercal Measures Part B Measures of Dstrbuton Shape, Relatve Locaton, and Detectng Outlers Eploratory Data Analyss

More information

Chapter 5 Student Lecture Notes 5-1

Chapter 5 Student Lecture Notes 5-1 Chapter 5 Student Lecture Notes 5-1 Basc Busness Statstcs (9 th Edton) Chapter 5 Some Important Dscrete Probablty Dstrbutons 004 Prentce-Hall, Inc. Chap 5-1 Chapter Topcs The Probablty Dstrbuton of a Dscrete

More information

An investment strategy with optimal sharpe ratio

An investment strategy with optimal sharpe ratio The 22 n Annual Meeting in Mathematics (AMM 2017) Department of Mathematics, Faculty of Science Chiang Mai University, Chiang Mai, Thailan An investment strategy with optimal sharpe ratio S. Jansai a,

More information

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002

TCOM501 Networking: Theory & Fundamentals Final Examination Professor Yannis A. Korilis April 26, 2002 TO5 Networng: Theory & undamentals nal xamnaton Professor Yanns. orls prl, Problem [ ponts]: onsder a rng networ wth nodes,,,. In ths networ, a customer that completes servce at node exts the networ wth

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ.

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ. Fnal s Wed May 7, 12:50-2:50 You are allowed 15 sheets of notes and a calculator The fnal s cumulatve, so you should know everythng on the frst 4 revews Ths materal not on those revews 184) Suppose S t

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach 216 Internatonal Conference on Mathematcal, Computatonal and Statstcal Scences and Engneerng (MCSSE 216) ISBN: 978-1-6595-96- he Effects of Industral Structure Change on Economc Growth n Chna Based on

More information

Auditing Hybrid IT Environments

Auditing Hybrid IT Environments Audtng Hybrd IT Envronments Georgana Mateesu Computer Sene and Automat Control Faulty Polytehn Unversty of Buharest Buharest, Romana Marus Vlădesu Computer Sene and Automat Control Faulty Polytehn Unversty

More information

Market Opening and Stock Market Behavior: Taiwan s Experience

Market Opening and Stock Market Behavior: Taiwan s Experience Internatonal Journal of Busness and Economcs, 00, Vol., No., 9-5 Maret Openng and Stoc Maret Behavor: Tawan s Experence Q L * Department of Economcs, Texas A&M Unversty, U.S.A. and Department of Economcs,

More information

Recall from last time. The Plan for Today. INTEREST RATES JUNE 22 nd, J u n e 2 2, Different Types of Credit Instruments

Recall from last time. The Plan for Today. INTEREST RATES JUNE 22 nd, J u n e 2 2, Different Types of Credit Instruments Reall from las me INTEREST RATES JUNE 22 nd, 2009 Lauren Heller Eon 423, Fnanal Markes Smple Loan rnpal and an neres paymen s pad a maury Fxed-aymen Loan Equal monhly paymens for a fxed number of years

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique.

Mode is the value which occurs most frequency. The mode may not exist, and even if it does, it may not be unique. 1.7.4 Mode Mode s the value whch occurs most frequency. The mode may not exst, and even f t does, t may not be unque. For ungrouped data, we smply count the largest frequency of the gven value. If all

More information

cs294-5: Statistical Natural Language Processing Assignment 2: Part-of-Speech Tagging

cs294-5: Statistical Natural Language Processing Assignment 2: Part-of-Speech Tagging s94-5: Statstal Natural Language Proessng Assgnment : Part-o-Speeh Taggng Due: Ot 8th Setup: Ths assgnment uses the same oe base as assgnment 1 but sne some people may stll be workng on assgnment 1 ths

More information

REAL OPTION MODELING FOR VALUING WORKER FLEXIBILITY

REAL OPTION MODELING FOR VALUING WORKER FLEXIBILITY REAL OPTION MODELING FOR VALUING WORKER FLEXIBILITY Harriet Black Nembhar Davi A. Nembhar Ayse P. Gurses Department of Inustrial Engineering University of Wisconsin-Maison 53 University Avenue Maison,

More information

UNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics BERTRAND AND COURNOT COMPETITIONS IN A DYNAMIC GAME

UNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics BERTRAND AND COURNOT COMPETITIONS IN A DYNAMIC GAME UNIVERSITY OF NOTTINGHAM Dsusson Paers n Eonoms Dsusson Paer No. 03/06 BERTRAND AND COURNOT COMPETITIONS IN A DYNAMIC GAME y Arjt Mukherjee Arl 003 DP 03/06 ISSN 360-438 UNIVERSITY OF NOTTINGHAM Dsusson

More information

Production and Supply Chain Management Logistics. Paolo Detti Department of Information Engeneering and Mathematical Sciences University of Siena

Production and Supply Chain Management Logistics. Paolo Detti Department of Information Engeneering and Mathematical Sciences University of Siena Producton and Supply Chan Management Logstcs Paolo Dett Department of Informaton Engeneerng and Mathematcal Scences Unversty of Sena Convergence and complexty of the algorthm Convergence of the algorthm

More information

UNIVERSITY OF BOLTON WESTERN INTERNATIONAL COLLEGE, RAS AL KHAIMAH BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2014/2015

UNIVERSITY OF BOLTON WESTERN INTERNATIONAL COLLEGE, RAS AL KHAIMAH BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 2014/2015 OCD5 UNIVERSITY OF BOLTON WESTERN INTERNATIONAL COLLEGE, RAS AL KHAIMAH BENG(HONS) MECHANICAL ENGINEERING SEMESTER TWO EXAMINATION 0/05 FINITE ELEMENT AND DIFFERENCE SOLUTIONS MODULE NO: AME6006 Date:

More information

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY

Preliminary communication. Received: 20 th November 2013 Accepted: 10 th December 2013 SUMMARY Elen Twrdy, Ph. D. Mlan Batsta, Ph. D. Unversty of Ljubljana Faculty of Martme Studes and Transportaton Pot pomorščakov 4 632 Portorož Slovena Prelmnary communcaton Receved: 2 th November 213 Accepted:

More information

Evaluation of Stocks from Zagreb Stock Exchange

Evaluation of Stocks from Zagreb Stock Exchange Evaluaton of Stocks from Zagreb Stock Exchange Jasmnka Dobša, Krsto Kero, Danjel Raoševć Faculty of Organzaton an Informatcs Unversty of Zagreb Pavlnska 2, 42 Varažn, Croata {jasmnka.obsa, krsto.kero,

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Risk and Return: The Security Markets Line

Risk and Return: The Security Markets Line FIN 614 Rsk and Return 3: Markets Professor Robert B.H. Hauswald Kogod School of Busness, AU 1/25/2011 Rsk and Return: Markets Robert B.H. Hauswald 1 Rsk and Return: The Securty Markets Lne From securtes

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

Income mobility in Argentina

Income mobility in Argentina Inome molty n Argentna Lus Beara and Fernando Grosman 2 Astrat The paper analyses the varalty of laour nomes n Argentna from md-eghtes to 2005. The magntude of the nome-nstalty phenomenon s estmated and

More information

2. Lattice Methods. Outline. A Simple Binomial Model. 1. No-Arbitrage Evaluation 2. Its relationship to risk-neutral valuation.

2. Lattice Methods. Outline. A Simple Binomial Model. 1. No-Arbitrage Evaluation 2. Its relationship to risk-neutral valuation. . Lattice Methos. One-step binomial tree moel (Hull, Chap., page 4) Math69 S8, HM Zhu Outline. No-Arbitrage Evaluation. Its relationship to risk-neutral valuation. A Simple Binomial Moel A stock price

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

More information

Chapter 15: Debt and Taxes

Chapter 15: Debt and Taxes Chapter 15: Debt and Taxes-1 Chapter 15: Debt and Taxes I. Basc Ideas 1. Corporate Taxes => nterest expense s tax deductble => as debt ncreases, corporate taxes fall => ncentve to fund the frm wth debt

More information

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management

To Rebalance or Not to Rebalance? Edward Qian, PhD, CFA PanAgora Asset Management To Rebalance or Not to Rebalance? Edward Qan, PhD, CFA PanAgora Asset anagement To Rebalance or Not to Rebalance It s not THE QUESTION but a very mportant one»to rebalance fxed-weght (FW); Not to Buy and

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

arxiv: v1 [q-fin.pr] 10 May 2012

arxiv: v1 [q-fin.pr] 10 May 2012 ELECTRICITY PRICE MODELING AND ASSET VALUATION: A MULTI-FUEL STRUCTURAL APPROACH RENÉ CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ arxv:105.99v1 [q-fn.pr] 10 May 01 ABSTRACT. We ntrouce a new an hghly tractable

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Maximum Likelihood Estimation of Isotonic Normal Means with Unknown Variances*

Maximum Likelihood Estimation of Isotonic Normal Means with Unknown Variances* Journal of Multvarate Analyss 64, 183195 (1998) Artcle No. MV971717 Maxmum Lelhood Estmaton of Isotonc Normal Means wth Unnown Varances* Nng-Zhong Sh and Hua Jang Northeast Normal Unversty, Changchun,Chna

More information

Economics 340 International Economics Prof. Alan Deardorff First Midterm Exam. Form 0. Answers. October 24, 2018

Economics 340 International Economics Prof. Alan Deardorff First Midterm Exam. Form 0. Answers. October 24, 2018 Page 1 of 16 (16) Eonomis 340 International Eonomis Prof. First Miterm Exam Form 0 Answers Otober 24, 2018 INSTRUCTIONS: READ CAREFULLY!!! 1. Please o not open the exam until you are tol to o so. NAME:

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Xiaoli Lu VA Cooperative Studies Program, Perry Point, MD

Xiaoli Lu VA Cooperative Studies Program, Perry Point, MD A SAS Program to Construct Smultaneous Confdence Intervals for Relatve Rsk Xaol Lu VA Cooperatve Studes Program, Perry Pont, MD ABSTRACT Assessng adverse effects s crtcal n any clncal tral or nterventonal

More information

Ecological Tax Reforms and the. Environment: A Note

Ecological Tax Reforms and the. Environment: A Note Publishe in: Bulletin of Eonomi Researh 50.1997, pp. 83-89 Eologial Tax Reforms an the Environment: A Note Ronnie Shöb University of Munih JEL lassifiation: H21, Q28 Aress: Ronnie Shöb Department of Eonomis

More information

GREG estimation with reciprocal transformation for a Polish business survey

GREG estimation with reciprocal transformation for a Polish business survey The 11 th Professor Aleksaner Zelas Internatonal Conference on Moellng an Forecastng of Soco-Economc Phenomena GREG estmaton wth recprocal transformaton for a Polsh busness survey Grażyna Dehnel 1 Abstract

More information

Sensitivity of health-related scales is a non-decreasing function of

Sensitivity of health-related scales is a non-decreasing function of Senstvty of health-related sales s a non-dereasng funton of ther lasses. Vasleos Maroulas and Demosthenes B. Panagotaos 2,* Insttute for Mathemats and ts Applatons, Unversty of Mnnesota, Mnneapols, USA.

More information

Chapter 6 Risk, Return, and the Capital Asset Pricing Model

Chapter 6 Risk, Return, and the Capital Asset Pricing Model Whch s better? (1) 6% return wth no rsk, or (2) 20% return wth rsk. Chapter 6 Rsk, Return, and the Captal Asset Prcng Model Cannot say - need to know how much rsk comes wth the 20% return. What do we know

More information

Appendix Algebra of the ISLM Model

Appendix Algebra of the ISLM Model Chapter 23: Monetary an Fscal Polcy n the ISLM Moel Appenx Algebra o the ISLM Moel The use o algebra to analyze the ISLM moel allows us to exten the multpler analyss n Chapter 22 an to obtan many o the

More information

A Network Modeling Approach for the Optimization of Internet-Based Advertising Strategies and Pricing with a Quantitative Explanation of Two Paradoxes

A Network Modeling Approach for the Optimization of Internet-Based Advertising Strategies and Pricing with a Quantitative Explanation of Two Paradoxes A Network Modelng Approach or the Optmzaton o Internet-Based Advertsng Strateges and Prcng wth a Quanttatve Explanaton o Two Paradoxes Lan Zhao Department o Mathematcs and Computer Scences SUNY/College

More information

NCCI S 2007 HAZARD GROUP MAPPING

NCCI S 2007 HAZARD GROUP MAPPING NCCI S 2007 HAZARD GROUP MAPPING by John P. Robertson ABSTRACT At the begnnng of 2007, the NCCI mplemented a new seven-hazard-group system, replang the prevous four-hazard-group system. Ths artle desrbes

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

More information

Actuarial Science: Financial Mathematics

Actuarial Science: Financial Mathematics STAT 485 Actuaral Scence: Fnancal Mathematcs 1.1.1 Effectve Rates of Interest Defnton Defnton lender. An nterest s money earned by deposted funds. An nterest rate s the rate at whch nterest s pad to the

More information

Mathematical Thinking Exam 1 09 October 2017

Mathematical Thinking Exam 1 09 October 2017 Mathematcal Thnkng Exam 1 09 October 2017 Name: Instructons: Be sure to read each problem s drectons. Wrte clearly durng the exam and fully erase or mark out anythng you do not want graded. You may use

More information

Cooperation on capacitated inventory situations with fixed holding costs

Cooperation on capacitated inventory situations with fixed holding costs Cooperaton on capactate nventory stuatons wth fxe holng costs M.G. Festras-Janero 1 I. García-Jurao 2 A. Meca 3 M.A. Mosquera 1 Abstract In ths paper we analyze a stuaton n whch several frms eal wth nventory

More information

Capability Analysis. Chapter 255. Introduction. Capability Analysis

Capability Analysis. Chapter 255. Introduction. Capability Analysis Chapter 55 Introducton Ths procedure summarzes the performance of a process based on user-specfed specfcaton lmts. The observed performance as well as the performance relatve to the Normal dstrbuton are

More information

Centre for International Capital Markets

Centre for International Capital Markets Centre for Internatonal Captal Markets Dscusson Papers ISSN 1749-3412 Valung Amercan Style Dervatves by Least Squares Methods Maro Cerrato No 2007-13 Valung Amercan Style Dervatves by Least Squares Methods

More information

An asymptotic Markovian approach to the portfolio selection problem

An asymptotic Markovian approach to the portfolio selection problem An asymptotc Marovan approach to the portfolo selecton problem Enrco Angelell, Sergo Ortobell Lozza, an Gaetano Iaqunta. Abstract In ths paper we propose a portfolo choce problem uner the hypothess of

More information

Merton-model Approach to Valuing Correlation Products

Merton-model Approach to Valuing Correlation Products Merton-model Approach to Valung Correlaton Products Vral Acharya & Stephen M Schaefer NYU-Stern and London Busness School, London Busness School Credt Rsk Electve Sprng 2009 Acharya & Schaefer: Merton

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions

UNIVERSITY OF VICTORIA Midterm June 6, 2018 Solutions UIVERSITY OF VICTORIA Mdterm June 6, 08 Solutons Econ 45 Summer A0 08 age AME: STUDET UMBER: V00 Course ame & o. Descrptve Statstcs and robablty Economcs 45 Secton(s) A0 CR: 3067 Instructor: Betty Johnson

More information