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 Campbell, John Y., author.
 Princeton : Princeton University Press, [2018]
 Description
 Book — xxi, 451 pages ; 26 cm
 Summary

 Figures xiiiTables xvPreface xviiPart I Static Portfolio Choice and Asset Pricing1 Choice under Uncertainty 31.1 Expected Utility 31.1.1 Sketch of von NeumannMorgenstern Theory 41.2 Risk Aversion 51.2.1 Jensen's Inequality and Risk Aversion 51.2.2 Comparing Risk Aversion 71.2.3 The ArrowPratt Approximation 91.3 Tractable Utility Functions 101.4 Critiques of Expected Utility Theory 121.4.1 Allais Paradox 121.4.2 Rabin Critique 131.4.3 FirstOrder Risk Aversion and Prospect Theory 141.5 Comparing Risks 151.5.1 Comparing Risks with the Same Mean 161.5.2 Comparing Risks with Different Means 181.5.3 The Principle of Diversification 191.6 Solution and Further Problems 202 Static Portfolio Choice 232.1 Choosing Risk Exposure 232.1.1 The Principle of Participation 232.1.2 A Small Reward for Risk 242.1.3 The CARANormal Case 252.1.4 The CRRALognormal Case 272.1.5 The GrowthOptimal Portfolio 302.2 Combining Risky Assets 302.2.1 Two Risky Assets 312.2.2 One Risky and One Safe Asset 332.2.3 N Risky Assets 342.2.4 The Global MinimumVariance Portfolio 352.2.5 The Mutual Fund Theorem 392.2.6 One Riskless Asset and N Risky Assets 392.2.7 Practical Difficulties 422.3 Solutions and Further Problems 433 Static Equilibrium Asset Pricing 473.1 The Capital Asset PricingModel (CAPM) 473.1.1 Asset Pricing Implications of the SharpeLintner CAPM 483.1.2 The Black CAPM 503.1.3 Beta Pricing and Portfolio Choice 513.1.4 The BlackLitterman Model 543.2 Arbitrage Pricing and Multifactor Models 553.2.1 Arbitrage Pricing in a SingleFactor Model 553.2.2 Multifactor Models 593.2.3 The Conditional CAPM as a Multifactor Model 603.3 Empirical Evidence 613.3.1 Test Methodology 613.3.2 The CAPM and the CrossSection of Stock Returns 663.3.3 Alternative Responses to the Evidence 723.4 Solution and Further Problems 774 The Stochastic Discount Factor 834.1 Complete Markets 834.1.1 The SDF in a Complete Market 834.1.2 The Riskless Asset and RiskNeutral Probabilities 844.1.3 Utility Maximization and the SDF 854.1.4 The GrowthOptimal Portfolio and the SDF 854.1.5 Solving Portfolio Choice Problems 864.1.6 Perfect Risksharing 874.1.7 Existence of a Representative Agent 884.1.8 Heterogeneous Beliefs 894.2 Incomplete Markets 904.2.1 Constructing an SDF in the Payoff Space 904.2.2 Existence of a Positive SDF 924.3 Properties of the SDF 934.3.1 Risk Premia and the SDF 934.3.2 Volatility Bounds 954.3.3 Entropy Bound 1004.3.4 Factor Structure 1024.3.5 TimeSeries Properties 1024.4 Generalized Method of Moments 1034.4.1 Asymptotic Theory 1044.4.2 Important GMM Estimators 1054.4.3 Traditional Tests in the GMM Framework 1074.4.4 GMM in Practice 1094.5 Limits of Arbitrage 1124.6 Solutions and Further Problems 114Part II Intertemporal Portfolio Choice and Asset Pricing5 Present Value Relations 1215.1 Market Efficiency 1215.1.1 Tests of Autocorrelation in Stock Returns 1245.1.2 Empirical Evidence on Autocorrelation in Stock Returns 1255.2 Present Value Models with Constant Discount Rates 1275.2.1 DividendBased Models 1275.2.2 EarningsBased Models 1315.2.3 Rational Bubbles 1325.3 Present Value Models with TimeVarying Discount Rates 1345.3.1 The CampbellShiller Approximation 1345.3.2 Shortand LongTerm Return Predictability 1375.3.3 Interpreting US Stock Market History 1405.3.4 VAR Analysis of Returns 1435.4 Predictive Return Regressions 1445.4.1 Stambaugh Bias 1455.4.2 Recent Responses Using Financial Theory 1465.4.3 Other Predictors 1485.5 Drifting SteadyState Models 1505.5.1 Volatility and Valuation 1505.5.2 Drifting SteadyState Valuation Model 1515.5.3 Inflation and the Fed Model 1535.6 Present Value Logic and the CrossSection of Stock Returns 1535.6.1 Quality as a Risk Factor 1545.6.2 CrossSectional Measures of the Equity Premium 1545.7 Solution and Further Problems 1566 ConsumptionBased Asset Pricing 1616.1 Lognormal Consumption with Power Utility 1626.2 Three Puzzles 1636.2.1 Responses to the Puzzles 1666.3 Beyond Lognormality 1686.3.1 TimeVarying Disaster Risk 1736.4 EpsteinZin Preferences 1766.4.1 Deriving the SDF for EpsteinZin Preferences 1786.5 LongRun Risk Models 1826.5.1 Predictable Consumption Growth 1826.5.2 Heteroskedastic Consumption 1846.5.3 Empirical Specification 1866.6 Ambiguity Aversion 1876.7 Habit Formation 1916.7.1 A Ratio Model of Habit 1926.7.2 The CampbellCochrane Model 1936.7.3 Alternative Models of TimeVarying Risk Aversion 1986.8 Durable Goods 1996.9 Solutions and Further Problems 2017 ProductionBased Asset Pricing 2077.1 Physical Investment with Adjustment Costs 2077.1.1 A qTheory Model of Investment 2087.1.2 Investment Returns 2127.1.3 Explaining Firms' Betas 2147.2 General Equilibrium with Production 2157.2.1 LongRun Consumption Risk in General Equilibrium 2157.2.2 Variable Labor Supply 2207.2.3 Habit Formation in General Equilibrium 2227.3 Marginal Rate of Transformation and the SDF 2227.4 Solution and Further Problem 2268 FixedIncome Securities 2298.1 Basic Concepts 2308.1.1 Yields and HoldingPeriod Returns 2308.1.2 Forward Rates 2348.1.3 Coupon Bonds 2368.2 The Expectations Hypothesis of the Term Structure 2378.2.1 Restrictions on Interest Rate Dynamics 2388.2.2 Empirical Evidence 2398.3 Affine Term Structure Models 2418.3.1 Completely Affine Homoskedastic SingleFactor Model 2428.3.2 Completely Affine Heteroskedastic SingleFactor Model 2458.3.3 Essentially Affine Models 2468.3.4 Strong Restrictions and Hidden Factors 2498.4 Bond Pricing and the Dynamics of Consumption Growth and Inflation 2508.4.1 Real Bonds and Consumption Dynamics 2508.4.2 Permanent and Transitory Shocks to Marginal Utility 2528.4.3 Real Bonds, Nominal Bonds, and Inflation 2548.5 Interest Rates and Exchange Rates 2578.5.1 Interest Parity and the Carry Trade 2588.5.2 The Domestic and Foreign SDF 2608.6 Solution and Further Problems 2649 Intertemporal Risk 2699.1 Myopic Portfolio Choice 2709.2 Intertemporal Hedging 2729.2.1 A Simple Example 2729.2.2 Hedging Interest Rates 2739.2.3 Hedging Risk Premia 2779.2.4 Alternative Approaches 2839.3 The Intertemporal CAPM 2839.3.1 A TwoBeta Model 2839.3.2 Hedging Volatility: A ThreeBeta Model 2879.4 The Term Structure of Risky Assets 2909.4.1 Stylized Facts 2909.4.2 Asset Pricing Theory and the Risky Term Structure 2919.5 Learning 2959.6 Solutions and Further Problems 299Part III Heterogeneous Investors10 Household Finance 30710.1 Labor Income and Portfolio Choice 30810.1.1 Static Portfolio Choice Models 30810.1.2 Multiperiod Portfolio Choice Models 31210.1.3 Labor Income and Asset Pricing 31610.2 Limited Participation 31810.2.1 Wealth, Participation, and Risktaking 31810.2.2 Asset Pricing Implications of Limited Participation 32210.3 Underdiversification 32310.3.1 Empirical Evidence 32410.3.2 Effects on the Wealth Distribution 32710.3.3 Asset Pricing Implications of Underdiversification 32910.4 Responses to Changing Market Conditions 33110.5 Policy Responses 33410.6 Solutions and Further Problems 33511 Risksharing and Speculation 34111.1 Incomplete Markets 34211.1.1 Asset Pricing with Uninsurable Income Risk 34211.1.2 Market Design with Incomplete Markets 34511.1.3 General Equilibrium with Imperfect Risksharing 34611.2 Private Information 34711.3 Default 34911.3.1 Punishment by Exclusion 34911.3.2 Punishment by Seizure of Collateral 35311.4 Heterogeneous Beliefs 35411.4.1 Noise Traders 35411.4.2 The HarrisonKreps Model 35611.4.3 Endogenou Margin Requirements 35911.5 Solution and Further Problems 36312 Asymmetric Information and Liquidity 37112.1 Rational Expectations Equilibrium 37212.1.1 Fully Revealing Equilibrium 37212.1.2 Partially Revealing Equilibrium 37512.1.3 News, Trading Volume, and Returns 37812.1.4 Equilibrium with Costly Information 38012.1.5 HigherOrder Expectations 38312.2 Market Microstructure 38412.2.1 Information and the BidAsk Spread 38512.2.2 Information and Market Impact 38912.2.3 Diminishing Returns in Active Asset Management 39212.3 Liquidity and Asset Pricing 39212.3.1 Constant Trading Costs and Asset Prices 39312.3.2 Random Trading Costs and Asset Prices 39512.3.3 Margins and Asset Prices 39612.3.4 Margins and Trading Costs 39712.4 Solution and Further Problems 400References 405Index 435.
 (source: Nielsen Book Data)9780691160801 20171017
(source: Nielsen Book Data)9780691160801 20171017
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG4636 .C36 2018  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
 Back, K. (Kerry)
 Oxford : Oxford University Press, USA, 2010.
 Description
 Book — 1 online resource (504 pages).
 Summary

 Preface  I SinglePeriod Models  1 Utility Functions and Risk Aversion Coefficients  1.1 Uniqueness of Utility Functions  1.2 Concavity and Risk Aversion  1.3 Coefficients of Risk Aversion  1.4 Risk Aversion and Risk Premia  1.5 Constant Absolute Risk Aversion  1.6 Constant Relative Risk Aversion  1.7 Linear Risk Tolerance  1.8 Conditioning and Aversion to Noise  1.9 Notes and References  Exercises  2 Portfolio Choice and Stochastic Discount Factors  2.1 The FirstOrder Condition  2.2 Stochastic Discount Factors  2.3 A Single Risky Asset  2.4 Linear Risk Tolerance  2.5 Multiple Asset CARANormal Example  2.6 MeanVariance Preferences  2.7 Complete Markets  2.8 BeginningofPeriod Consumption  2.9 TimeAdditive Utility  2.10 Notes and References  Exercises  3 Equilibrium and Efficiency  3.1 Pareto Optima  3.2 Social Planner's Problem  3.3 Pareto Optima and Sharing Rules  3.4 Competitive Equilibria  3.5 Complete Markets  3.6 Linear Risk Tolerance  3.7 BeginningofPeriod Consumption 1  3.8 Notes and References  Exercises  4 Arbitrage and Stochastic Discount Factors  4.1 Fundamental Theorem on Existence of SDF's  4.2 Law of One Price and Stochastic Discount Factors  4.3 Risk Neutral Probabilities  4.4 Projecting SDF's onto the Asset Span  4.5 Projecting onto a Constant and the Asset Span  4.6 HansenJagannathan Bound with a RiskFree Asset  4.7 HansenJagannathan Bound with No RiskFree Asset  4.8 Hilbert Spaces and GramSchmidt Orthogonalization  4.9 Notes and References Exercises  5 MeanVariance Analysis  5.1 The Calculus Approach  5.2 TwoFund Spanning  5.3 The MeanStandard Deviation TradeOff  5.4 GMV Portfolio and MeanVariance Efficiency  5.5 Calculus Approach with a RiskFree Asset  5.6 TwoFund Spanning Again  5.7 Orthogonal Projections and Frontier Returns  5.8 RiskFree Return Proxies  5.9 Inefficiency of ~Rp  5.10 HansenJagannathan Bound with a RiskFree Asset  5.11 Frontier Returns and Stochastic Discount Factors  5.12 Separating Distributions  5.13 Notes and References  Exercises  6 Beta Pricing Models  6.1 Beta Pricing  6.2 SingleFactor Models with Returns as Factors  6.3 The Capital Asset Pricing Model  6.4 Returns and Excess Returns as Factors  6.5 Projecting Factors on Returns and Excess Returns  6.6 Beta Pricing and Stochastic Discount Factors  6.7 Arbitrage Pricing Theory  6.8 Notes and References  Exercises  7 Representative Investors  7.1 Pareto Optimality Implies a Representative Investor  7.2 Linear Risk Tolerance  7.3 ConsumptionBased Asset Pricing  7.4 Pricing Options  7.5 Notes and References  Exercises  II Dynamic Models  8 Dynamic Securities Markets  8.1 The Portfolio Choice Problem  8.2 Stochastic Discount Factor Processes  8.3 SelfFinancing Wealth Processes  8.4 The Martingale Property  8.5 Transversality Conditions and Ponzi Schemes  8.6 The Euler Equation  8.7 Arbitrage and the Law of One Price  8.8 Risk Neutral Probabilities  8.9 Complete Markets  8.10 Portfolio Choice in Complete Markets  8.11 Competitive Equilibria  8.12 Notes and References  Exercises  9 Portfolio Choice by Dynamic Programming  9.1 Introduction to Dynamic Programming  9.2 Bellman Equation for Portfolio Choice  9.3 The Envelope Condition  9.4 Maximizing CRRA Utility of Terminal Wealth  9.5 CRRA Utility with Intermediate Consumption  9.6 CRRA Utility with an Infinite Horizon  9.7 Notes and References  Exercises  10 Conditional Beta Pricing Models  10.1 From Conditional to Unconditional Models  10.2 The Conditional CAPM  10.3 The ConsumptionBased CAPM  10.4 The Intertemporal CAPM  10.5 An Approximate CAPM  10.6 Notes and References  Exercises  11 Some Dynamic Equilibrium Models  11.1 Representative Investors  11.2 Valuing the Market Portfolio  11.3 The RiskFree Return  11.4 The Equity Premium Puzzle  11.5 The RiskFree Rate Puzzle  11.6 Uninsurable Idiosyncratic Income Risk  11.7 External Habits  11.8 Notes and References  Exercises  12 Brownian Motion and Stochastic Calculus  12.1 Brownian Motion  12.2 Quadratic Variation  12.3 Ito Integral  12.4 Local Martingales and Doubling Strategies  12.5 Ito Processes  12.6 Asset and Portfolio Returns  12.7 Martingale Representation Theorem  12.8 Ito's Formula: Version I  12.9 Geometric Brownian Motion  12.10 Covariations of Ito Processes  12.11 Ito's Formula: Version II  12.12 Conditional Variances and Covariances  12.13 Transformations of Models  12.14 Notes and References  Exercises  13 ContinuousTime Securities Markets and SDF Processes  13.1 DividendReinvested Asset Prices  13.2 Securities Markets  13.3 SelfFinancing Wealth Processes  13.4 Conditional MeanVariance Frontier  13.5 Stochastic Discount Factor Processes  13.6 Properties of SDF Processes  13.7 Sufficient Conditions for MW to be a Martingale  13.8 Valuing Consumption Streams  13.9 Risk Neutral Probabilities  13.10 Complete Markets  13.11 SDF Processes without a RiskFree Asset  13.12 Inflation and Foreign Exchange  13.13 Notes and References  Exercises  14 ContinuousTime Portfolio Choice and Beta Pricing  14.1 The Static Budget Constraint  14.2 Complete Markets  12 CONTENTS  14.3 Constant Capital Market Line  14.4 Dynamic Programming Example  14.5 General Markovian Portfolio Choice  14.6 The CCAPM  14.7 The ICAPM  14.8 The CAPM  14.9 InfiniteHorizon Dynamic Programming  14.10 Dynamic Programming with CRRA Utility  14.11 Verification Theorem  14.12 Notes and References  Exercises  III Derivative Securities  15 Option Pricing  15.1 Introduction to Options  15.2 PutCall Parity and Option Bounds  15.3 SDF Processes  15.4 Changes of Measure  15.5 Market Completeness  15.6 The BlackScholes Formula  15.7 Delta Hedging  15.8 The Fundamental PDE  15.9 American Options  15.10 Smooth Pasting  15.11 European Options on DividendPaying Assets  15.12 Notes and References  Exercises  16 Forwards, Futures, and More Option Pricing  16.1 Forward Measures  16.2 Forward Contracts  16.3 Futures Contracts  16.4 Exchange Options  16.5 Options on Forwards and Futures  16.6 Dividends and Random Interest Rates  16.7 Implied Volatilities and Local Volatilities  16.8 Stochastic Volatility  16.9 Notes and References  17 Term Structure Models  17.1 Vasicek Model  17.2 CoxIngersollRoss Model  17.3 MultiFactor CIR Models  17.4 Affine Models  1  17.6 Quadratic Models  17.7 Forward Rates  17.8 Fitting the Yield Curve  17.9 HeathJarrowMorton Models  17.10 Notes and References  Exercises  IV Topics  18 Heterogeneous Priors  18.1 StateDependent Utility Formulation  18.2 Representative Investors in Complete SinglePeriod Markets  18.3 Representative Investors in Complete Dynamic Markets  18.4 Short Sales Constraints and Biased Prices  18.5 Speculative Trade  18.6 Notes and References  Exercises  19 Asymmetric Information  19.1 The NoTrade Theorem  19.2 NormalNormal Updating  19.3 A Fully Revealing Equilibrium  19.5 A Model with a Large Number of Investors  19.7 The Kyle Model in Continuous Time  19.8 Notes and References  Exercises  20 Alternative Preferences in SinglePeriod Models  20.1 The Ellsberg Paradox  20.2 The Sure Thing Principle  20.3 Multiple Priors and MaxMin Utility  20.4 NonAdditive Set Functions  20.5 The Allais Paradox  20.6 The Independence Axiom  20.7 Betweenness Preferences  20.8 RankDependent Preferences  20.9 FirstOrder Risk Aversion  20.10 Framing and Loss Aversion  20.11 Prospect Theory  20.12 Notes and References  Exercises  21 Alternative Preferences in Dynamic Models  21.1 Recursive Preferences  21.2 Portfolio Choice with EpsteinZinWeil Utility  21.3 A Representative Investor with EpsteinZinWeil Utility  21.4 Internal Habits  21.5 Linear Internal Habits in Complete Markets  21.6 A Representative Investor with an Internal Habit  21.7 Keeping/Catching Up with the Joneses  21.8 Ambiguity Aversion in Dynamic Models  21.9 Notes and References  Exercises  22 Production Models  22.1 DiscreteTime Model  22.2 Marginal q  22.3 Costly Reversibility  22.4 Project Risk and Firm Risk  22.5 Irreversibility and Options  22.6 Irreversibility and Perfect Competition  22.7 Irreversibility and Risk  22.8 Irreversibility and Perfect Competition: An Example  22.9 Notes and References  Exercises  Appendices  A Some Probability and Stochastic Process Theory  A.1 Random Variables  A.2 Probabilities  A.3 Distribution Functions and Densities  A.4 Expectations  A.5 Convergence of Expectations  A.6 Interchange of Differentiation and Expectation  A.7 Random Vectors  A.8 Conditioning  A.9 Independence  A.10 Equivalent Probability Measures  A.11 Filtrations, Martingales, and Stopping Times  A.12 Martingales under Equivalent Measures  A.13 Local Martingales  A.14 The Usual Conditions  Notes  References  Index.
 (source: Nielsen Book Data)9780195380613 20180521
(source: Nielsen Book Data)9780195380613 20180521
Stanford Libraries
Stanford Libraries  Status 

On reserve at Business Library  
(no call number)  Unavailable 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
 Back, K. (Kerry)
 Oxford ; New York : Oxford University Press, 2010.
 Description
 Book — xvi, 487 p. : ill. ; 25 cm.
 Summary

 Preface  I SinglePeriod Models  1 Utility Functions and Risk Aversion Coefficients  1.1 Uniqueness of Utility Functions  1.2 Concavity and Risk Aversion  1.3 Coefficients of Risk Aversion  1.4 Risk Aversion and Risk Premia  1.5 Constant Absolute Risk Aversion  1.6 Constant Relative Risk Aversion  1.7 Linear Risk Tolerance  1.8 Conditioning and Aversion to Noise  1.9 Notes and References  Exercises  2 Portfolio Choice and Stochastic Discount Factors  2.1 The FirstOrder Condition  2.2 Stochastic Discount Factors  2.3 A Single Risky Asset  2.4 Linear Risk Tolerance  2.5 Multiple Asset CARANormal Example  2.6 MeanVariance Preferences  2.7 Complete Markets  2.8 BeginningofPeriod Consumption  2.9 TimeAdditive Utility  2.10 Notes and References  Exercises  3 Equilibrium and Efficiency  3.1 Pareto Optima  3.2 Social Planner's Problem  3.3 Pareto Optima and Sharing Rules  3.4 Competitive Equilibria  3.5 Complete Markets  3.6 Linear Risk Tolerance  3.7 BeginningofPeriod Consumption 1  3.8 Notes and References  Exercises  4 Arbitrage and Stochastic Discount Factors  4.1 Fundamental Theorem on Existence of SDF's  4.2 Law of One Price and Stochastic Discount Factors  4.3 Risk Neutral Probabilities  4.4 Projecting SDF's onto the Asset Span  4.5 Projecting onto a Constant and the Asset Span  4.6 HansenJagannathan Bound with a RiskFree Asset  4.7 HansenJagannathan Bound with No RiskFree Asset  4.8 Hilbert Spaces and GramSchmidt Orthogonalization  4.9 Notes and References Exercises  5 MeanVariance Analysis  5.1 The Calculus Approach  5.2 TwoFund Spanning  5.3 The MeanStandard Deviation TradeOff  5.4 GMV Portfolio and MeanVariance Efficiency  5.5 Calculus Approach with a RiskFree Asset  5.6 TwoFund Spanning Again  5.7 Orthogonal Projections and Frontier Returns  5.8 RiskFree Return Proxies  5.9 Inefficiency of ~Rp  5.10 HansenJagannathan Bound with a RiskFree Asset  5.11 Frontier Returns and Stochastic Discount Factors  5.12 Separating Distributions  5.13 Notes and References  Exercises  6 Beta Pricing Models  6.1 Beta Pricing  6.2 SingleFactor Models with Returns as Factors  6.3 The Capital Asset Pricing Model  6.4 Returns and Excess Returns as Factors  6.5 Projecting Factors on Returns and Excess Returns  6.6 Beta Pricing and Stochastic Discount Factors  6.7 Arbitrage Pricing Theory  6.8 Notes and References  Exercises  7 Representative Investors  7.1 Pareto Optimality Implies a Representative Investor  7.2 Linear Risk Tolerance  7.3 ConsumptionBased Asset Pricing  7.4 Pricing Options  7.5 Notes and References  Exercises  II Dynamic Models  8 Dynamic Securities Markets  8.1 The Portfolio Choice Problem  8.2 Stochastic Discount Factor Processes  8.3 SelfFinancing Wealth Processes  8.4 The Martingale Property  8.5 Transversality Conditions and Ponzi Schemes  8.6 The Euler Equation  8.7 Arbitrage and the Law of One Price  8.8 Risk Neutral Probabilities  8.9 Complete Markets  8.10 Portfolio Choice in Complete Markets  8.11 Competitive Equilibria  8.12 Notes and References  Exercises  9 Portfolio Choice by Dynamic Programming  9.1 Introduction to Dynamic Programming  9.2 Bellman Equation for Portfolio Choice  9.3 The Envelope Condition  9.4 Maximizing CRRA Utility of Terminal Wealth  9.5 CRRA Utility with Intermediate Consumption  9.6 CRRA Utility with an Infinite Horizon  9.7 Notes and References  Exercises  10 Conditional Beta Pricing Models  10.1 From Conditional to Unconditional Models  10.2 The Conditional CAPM  10.3 The ConsumptionBased CAPM  10.4 The Intertemporal CAPM  10.5 An Approximate CAPM  10.6 Notes and References  Exercises  11 Some Dynamic Equilibrium Models  11.1 Representative Investors  11.2 Valuing the Market Portfolio  11.3 The RiskFree Return  11.4 The Equity Premium Puzzle  11.5 The RiskFree Rate Puzzle  11.6 Uninsurable Idiosyncratic Income Risk  11.7 External Habits  11.8 Notes and References  Exercises  12 Brownian Motion and Stochastic Calculus  12.1 Brownian Motion  12.2 Quadratic Variation  12.3 Ito Integral  12.4 Local Martingales and Doubling Strategies  12.5 Ito Processes  12.6 Asset and Portfolio Returns  12.7 Martingale Representation Theorem  12.8 Ito's Formula: Version I  12.9 Geometric Brownian Motion  12.10 Covariations of Ito Processes  12.11 Ito's Formula: Version II  12.12 Conditional Variances and Covariances  12.13 Transformations of Models  12.14 Notes and References  Exercises  13 ContinuousTime Securities Markets and SDF Processes  13.1 DividendReinvested Asset Prices  13.2 Securities Markets  13.3 SelfFinancing Wealth Processes  13.4 Conditional MeanVariance Frontier  13.5 Stochastic Discount Factor Processes  13.6 Properties of SDF Processes  13.7 Sufficient Conditions for MW to be a Martingale  13.8 Valuing Consumption Streams  13.9 Risk Neutral Probabilities  13.10 Complete Markets  13.11 SDF Processes without a RiskFree Asset  13.12 Inflation and Foreign Exchange  13.13 Notes and References  Exercises  14 ContinuousTime Portfolio Choice and Beta Pricing  14.1 The Static Budget Constraint  14.2 Complete Markets  12 CONTENTS  14.3 Constant Capital Market Line  14.4 Dynamic Programming Example  14.5 General Markovian Portfolio Choice  14.6 The CCAPM  14.7 The ICAPM  14.8 The CAPM  14.9 InfiniteHorizon Dynamic Programming  14.10 Dynamic Programming with CRRA Utility  14.11 Verification Theorem  14.12 Notes and References  Exercises  III Derivative Securities  15 Option Pricing  15.1 Introduction to Options  15.2 PutCall Parity and Option Bounds  15.3 SDF Processes  15.4 Changes of Measure  15.5 Market Completeness  15.6 The BlackScholes Formula  15.7 Delta Hedging  15.8 The Fundamental PDE  15.9 American Options  15.10 Smooth Pasting  15.11 European Options on DividendPaying Assets  15.12 Notes and References  Exercises  16 Forwards, Futures, and More Option Pricing  16.1 Forward Measures  16.2 Forward Contracts  16.3 Futures Contracts  16.4 Exchange Options  16.5 Options on Forwards and Futures  16.6 Dividends and Random Interest Rates  16.7 Implied Volatilities and Local Volatilities  16.8 Stochastic Volatility  16.9 Notes and References  17 Term Structure Models  17.1 Vasicek Model  17.2 CoxIngersollRoss Model  17.3 MultiFactor CIR Models  17.4 Affine Models  1  17.6 Quadratic Models  17.7 Forward Rates  17.8 Fitting the Yield Curve  17.9 HeathJarrowMorton Models  17.10 Notes and References  Exercises  IV Topics  18 Heterogeneous Priors  18.1 StateDependent Utility Formulation  18.2 Representative Investors in Complete SinglePeriod Markets  18.3 Representative Investors in Complete Dynamic Markets  18.4 Short Sales Constraints and Biased Prices  18.5 Speculative Trade  18.6 Notes and References  Exercises  19 Asymmetric Information  19.1 The NoTrade Theorem  19.2 NormalNormal Updating  19.3 A Fully Revealing Equilibrium  19.5 A Model with a Large Number of Investors  19.7 The Kyle Model in Continuous Time  19.8 Notes and References  Exercises  20 Alternative Preferences in SinglePeriod Models  20.1 The Ellsberg Paradox  20.2 The Sure Thing Principle  20.3 Multiple Priors and MaxMin Utility  20.4 NonAdditive Set Functions  20.5 The Allais Paradox  20.6 The Independence Axiom  20.7 Betweenness Preferences  20.8 RankDependent Preferences  20.9 FirstOrder Risk Aversion  20.10 Framing and Loss Aversion  20.11 Prospect Theory  20.12 Notes and References  Exercises  21 Alternative Preferences in Dynamic Models  21.1 Recursive Preferences  21.2 Portfolio Choice with EpsteinZinWeil Utility  21.3 A Representative Investor with EpsteinZinWeil Utility  21.4 Internal Habits  21.5 Linear Internal Habits in Complete Markets  21.6 A Representative Investor with an Internal Habit  21.7 Keeping/Catching Up with the Joneses  21.8 Ambiguity Aversion in Dynamic Models  21.9 Notes and References  Exercises  22 Production Models  22.1 DiscreteTime Model  22.2 Marginal q  22.3 Costly Reversibility  22.4 Project Risk and Firm Risk  22.5 Irreversibility and Options  22.6 Irreversibility and Perfect Competition  22.7 Irreversibility and Risk  22.8 Irreversibility and Perfect Competition: An Example  22.9 Notes and References  Exercises  Appendices  A Some Probability and Stochastic Process Theory  A.1 Random Variables  A.2 Probabilities  A.3 Distribution Functions and Densities  A.4 Expectations  A.5 Convergence of Expectations  A.6 Interchange of Differentiation and Expectation  A.7 Random Vectors  A.8 Conditioning  A.9 Independence  A.10 Equivalent Probability Measures  A.11 Filtrations, Martingales, and Stopping Times  A.12 Martingales under Equivalent Measures  A.13 Local Martingales  A.14 The Usual Conditions  Notes  References  Index.
 (source: Nielsen Book Data)9780195380613 20160619
(source: Nielsen Book Data)9780195380613 20160619
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG4636 .B33 2010  Unknown 2hour loan 
HG4636 .B33 2010  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
4. Asset pricing [2005]
 Cochrane, John H.
 Rev. ed.  Princeton, N.J. : Princeton University Press, 2005.
 Description
 Book — xvii, 533 p. : ill ; 24 cm.
 Summary

 Consumptionbased model and overview
 Applying the basic model
 Contingent claims markets
 The discount factor
 Meanvariance frontier and beta representations
 Relation between discount factors, betas, and meanvariance frontiers
 Implications of existence and equivalence theorems
 Conditioning information
 Factor pricing models
 GMM in explicit discount factor models
 GMM : general formulas and applications
 Regressionbased tests of linear factor models
 GMM for linear factor models in discount factor form
 Maximum likelihood
 Timeseries, crosssection, and GMM/DF tests of linear factor models
 Which method?
 Option pricing
 Option pricing without perfect replication
 Term structure of interest rates
 Expected returns in the time series and cross section
 Equity premium puzzle and consumptionbased models
 Appendix:
 A.1 Brownian motion
 A.2 Diffusion model
 A.3 Ito's Lemma
(source: Nielsen Book Data)9780691121376 20160528
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG4636 .C56 2005  Unknown 2hour loan 
HG4636 .C56 2005  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
 Campbell, John Y.
 New York : Oxford University Press, 2002.
 Description
 Book — 1 online resource.
 Summary

 1. Introduction  2. Myopic Portfolio Choice  3. Who Should Buy LongTerm Bonds?  4. Is the Stock Market Safer for LongTerm Investors?  5. Strategic Asset Allocation in Continuous Time  6. Human Wealth and Financial Wealth  7. Investing over the Life Cycle.
 (source: Nielsen Book Data)9780198296942 20170911
(source: Nielsen Book Data)9780198296942 20170911
Business Library
Business Library  Status 

On reserve at Business Library  
(no call number)  Unknown 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
 Campbell, John Y.
 Oxford ; New York : Oxford University Press, 2002.
 Description
 Book — xii, 257 p. : ill ; 23 cm.
 Summary

 1. Introduction  2. Myopic Portfolio Choice  3. Who Should Buy LongTerm Bonds?  4. Is the Stock Market Safer for LongTerm Investors?  5. Strategic Asset Allocation in Continuous Time  6. Human Wealth and Financial Wealth  7. Investing over the Life Cycle.
 (source: Nielsen Book Data)9780198296942 20170911
(source: Nielsen Book Data)9780198296942 20170911
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG4529.5 .C35 2002  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
7. The economics of risk and time [2001]
 Gollier, Christian.
 Cambridge, Mass. : MIT Press, ©2001.
 Description
 Book — xx, 445 pages : illustrations ; 24 cm
 Summary

 The expected utility model
 Risk aversion
 Change in risk
 The standard portfolio problem
 The equilibrium price risk
 A hyperplane separation theorem
 Logsupermodularity
 Risk aversion with background risk
 The tempering effect of background risk
 Taking multiple risks
 The dynamic investment problem
 Special topics in dynamic finance
 The demand for contingent claims
 Risk on wealth
 Consumption under certainty
 Precautionary saving and prudence
 The equilibrium price of time
 The liquidity constraint
 The savingportfolio problem
 Disentangling risk and time
 Efficient risk sharing
 The equilibrium price of risk and time
 Searching for the representative agent
 The value of information
 Decision making and information
 Information and equilibrium.
(source: Nielsen Book Data)9780262072151 20170911
This book updates and advances the theory of expected utility as applied to risk analysis and financial decision making. Von Neumann and Morgenstern pioneered the use of expected utility theory in the 1940s, but most utility functions used in financial management are still relatively simplistic and assume a meanvariance world. Taking into account recent advances in the economics of risk and uncertainty, this book focuses on richer applications of expected utility in finance, macroeconomics, and environmental economics.The book covers these topics: expected utility theory and related concepts; the standard portfolio problem of choice under uncertainty involving two different assets; P the basic hyperplane separation theorem and logsupermodular functions as technical tools for solving various decisionmaking problems under uncertainty; s choice involving multiple risks; the ArrowDebreu portfolio problem; consumption and saving; the equilibrium price of risk and time in an ArrowDebreu economy; and dynamic models of decision making when a flow of information on future risks is expected over time. The book is appropriate for both students and professionals. Concepts are presented intuitively as well as formally, and the theory is balanced by empirical considerations. Each chapter concludes with a problem set.
(source: Nielsen Book Data)9780262572248 20170911
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG101 .G65 2001  Unknown 2hour loan 
HG101 .G65 2001  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
8. The economics of risk and time [2001]
 Gollier, Christian.
 Cambridge, Mass. : MIT Press, ©2001.
 Description
 Book — 1 online resource.
 Summary

 The expected utility model
 Risk aversion
 Change in risk
 The standard portfolio problem
 The equilibrium price risk
 A hyperplane separation theorem
 Logsupermodularity
 Risk aversion with background risk
 The tempering effect of background risk
 Taking multiple risks
 The dynamic investment problem
 Special topics in dynamic finance
 The demand for contingent claims
 Risk on wealth
 Consumption under certainty
 Precautionary saving and prudence
 The equilibrium price of time
 The liquidity constraint
 The savingportfolio problem
 Disentangling risk and time
 Efficient risk sharing
 The equilibrium price of risk and time
 Searching for the representative agent
 The value of information
 Decision making and information
 Information and equilibrium.
(source: Nielsen Book Data)9780262072151 20170911
This book updates and advances the theory of expected utility as applied to risk analysis and financial decision making. Von Neumann and Morgenstern pioneered the use of expected utility theory in the 1940s, but most utility functions used in financial management are still relatively simplistic and assume a meanvariance world. Taking into account recent advances in the economics of risk and uncertainty, this book focuses on richer applications of expected utility in finance, macroeconomics, and environmental economics.The book covers these topics: expected utility theory and related concepts; the standard portfolio problem of choice under uncertainty involving two different assets; P the basic hyperplane separation theorem and logsupermodular functions as technical tools for solving various decisionmaking problems under uncertainty; s choice involving multiple risks; the ArrowDebreu portfolio problem; consumption and saving; the equilibrium price of risk and time in an ArrowDebreu economy; and dynamic models of decision making when a flow of information on future risks is expected over time. The book is appropriate for both students and professionals. Concepts are presented intuitively as well as formally, and the theory is balanced by empirical considerations. Each chapter concludes with a problem set.
(source: Nielsen Book Data)9780262572248 20170911
Business Library
Business Library  Status 

On reserve at Business Library  
(no call number)  Unknown 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
9. The econometrics of financial markets [1997]
 Campbell, John Y.
 Princeton, N.J. : Princeton University Press, c1997.
 Description
 Book — xviii, 611 p. : ill ; 25 cm.
 Summary

 List of Figures xiii List of Tables xv Preface xix 1 Introduction 3 1.1 Organization of the Book 4 1.2 Useful Background 6 1.2.1 Mathematics Background 6 1.2.2 Probability and Statistics Background 6 1.2.3 Finance Theory Background 7 1.3 Notation 8 1.4 Prices, Returns, and Compounding 9 1.4.1 Definitions and Conventions 9 1.4.2 The Marginal, Conditional, and Joint Distribution of Returns 13 1.5 Market Efficiency 20 1.5.1 Efficient Markets and the Law of Iterated Expectations 22 1.5.2 Is Market Efficiency Testable? 24 2 The Predictability of Asset Returns 27 2.1 The Random Walk Hypotheses 28 2.1.1 The Random Walk 1: IID Increments 31 2.1.2 The Random Walk 2: Independent Increments 32 2.1.3 The Random Walk 3: Uncorrelated Increments 33 2.2 Tests of Random Walk 1: IID Increments 33 2.2.1 Traditional Statistical Tests 33 2.2.2 Sequences and Reversals, and Runs 34 2.3 Tests of Random Walk 2: Independent Increments 41 2.3.1 Filter Rules 42 2.3.2 Technical Analysis 43 2.4 Tests of Random Walk 3: Uncorrelated Increments 44 2.4.1 Autocorrelation Coefficients 44 2.4.2 Portmanteau Statistics 47 2.4.3 Variance Ratios 48 2.5 LongHorizon Returns 55 2.5.1 Problems with LongHorizon Inferences 57 2.6 Tests For LongRange Dependence 59 2.6.1 Examples of LongRange Dependence 59 2.6.2 The HurstMandelbrot Rescaled Range Statistic 62 2.7 Unit Root Tests 64 2.8 Recent Empirical Evidence 65 2.8.1 Autocorrelations 66 2.8.2 Variance Ratios 68 2.8.3 CrossAutocorrelations and LeadLag Relations 74 2.8.4 Tests Using LongHorizon Returns 78 2.9 Conclusion 80 3 Market Microstructure 83 3.1 Nonsynchronous Trading 84 3.1.1 A Model of Nonsynchronous Trading 85 3.1.2 Extensions and Generalizations 98 3.2 The BidAsk Spread 99 3.2.1 BidAsk Bounce 101 3.2.2 Components of the BidAsk Spread 103 3.3 Modeling Transactions Data 107 3.3.1 Motivation 108 3.3.2 Rounding and Barrier Models 114 3.3.3 The Ordered Probit Model 122 3.4 Recent Empirical Findings 128 3.4.1 Nonsynchronous Trading 128 3.4.2 Estimating the Effective BidAsk Spread 134 3.4.3 Transactions Data 136 3.5 Conclusion 144 5 The Capital Asset Pricing Model 181 5.1 Review of the CAPM 181 5.2 Results from EfficientSet Mathematics 184 5.3 Statistical Framework for Estimation and Testing 188 5.3.1 SharpeLintner Version 189 5.3.2 Black Version 196 5.4 Size of Tests 203 5.5 Power of Tests 204 5.6 Nonnormal and NonIID Returns 208 5.7 Implementation of Tests 211 5.7.1 Summary of Empirical Evidence 211 5.7.2 Illustrative Implementation 212 5.7.3 Unobservability of the Market Portfolio 213 5.8 CrossSectional Regressions 215 5.9 Conclusion 217 6 Multifactor Pricing Models 219 6.1 Theoretical Background 219 6.2 Estimation and Testing 222 6.2.1 Portfolios as Factors with a Riskfree Asset 223 6.2.2 Portfolios as Factors without a Riskfree Asset 224 6.2.3 Macroeconomic Variables as Factors 226 6.2.4 Factor Portfolios Spanning the MeanVariance\protect\\ Frontier 228 6.3 Estimation of Risk Premia and Expected Returns 231 6.4 Selection of Factors 233 6.4.1 Statistical Approaches 233 6.4.2 Number of Factors 238 6.4.3 Theoretical Approaches 239 6.5 Empirical Results 240 6.6 Interpreting Deviations from Exact Factor Pricing 242 6.6.1 Exact Factor Pricing Models, MeanVariance Analysis, and the Optimal Orthogonal Portfolio 243 6.6.2 Squared Sharpe Ratios 245 6.6.3 Implications for Separating Alternative Theories 246 6.7 Conclusion 251 7 PresentValue Relations 253 7.1 The Relation between Prices, Dividends, and Returns 254 7.1.1 The Linear PresentValue Relation with Constant Expected Returns 255 7.1.2 Rational Bubbles 258 7.1.3 An Approximate PresentValue Relation with TimeVarying Expected Returns 260 7.1.4 Prices and Returns in a Simple Example 264 7.2 PresentValue Relations and US Stock Price Behavior 267 7.2.1 LongHorizon Regressions 267 7.2.2 Volatility Tests 275 7.2.3 Vector Autoregressive Methods 279 7.3 Conclusion 286 8 Intertemporal Equilibrium Models 291 8.1 The Stochastic Discount Factor 293 8.1.1 Volatility Bounds 296 8.2 ConsumptionBased Asset Pricing with Power Utility 304 8.2.1 Power Utility in a Lognormal Model 306 8.2.2 Power Utility and Generalized Method of\protect\\ Moments 314 8.3 Market Frictions 314 8.3.1 Market Frictions and HansenJagannathan\protect\\ Bounds 315 8.3.2 Market Frictions and Aggregate Consumption\protect\\ Data 316 8.4 More General Utility Functions 326 8.4.1 Habit Formation 326 8.4.2 Psychological Models of Preferences 332 8.5 Conclusion 334 9 Derivative Pricing Models 339 9.1 Brownian Motion 341 9.1.1 Constructing Brownian Motion 341 9.1.2 Stochastic Differential Equations 346 9.2 A Brief Review of Derivative Pricing Methods 349 9.2.1 The BlackScholes and Merton Approach 350 9.2.2 The Martingale Approach 354 9.3 Implementing Parametric Option Pricing Models 355 9.3.1 Parameter Estimation of Asset Price Dynamics 356 9.3.2 Estimating $\sigma $ in the BlackScholes Model 361 9.3.3 Quantifying the Precision of Option Price Estimators 367 9.3.4 The Effects of Asset Return Predictability 369 9.3.5 Implied Volatility Estimators 377 9.3.6 Stochastic Volatility Models 379 9.4 Pricing PathDependent Derivatives Via Monte Carlo Simulation 382 9.4.1 Discrete Versus Continuous Time 383 9.4.2 How Many Simulations to Perform 384 9.4.3 Comparisons with a ClosedForm Solution 384 9.4.4 Computational Efficiency 386 9.4.5 Extensions and Limitations 390 9.5 Conclusion 391 10 FixedIncome Securities 395 10.1 Basic Concepts 396 10.1.1 Discount Bonds 397 10.1.2 Coupon Bonds 401 10.1.3 Estimating the ZeroCoupon Term Structure 409 10.2 Interpreting the Term Structure of Interest Rates 413 10.2.1 The Expectations Hypothesis 413 10.2.2 Yield Spreads and Interest Rate Forecasts 418 10.3 Conclusion 423 11 TermStructure Models 427 11.1 AffineYield Models 428 11.1.1 A Homoskedastic SingleFactor Model 429 11.1.2 A SquareRoot SingleFactor Model 435 11.1.3 A TwoFactor Model 438 11.1.4 Beyond AffineYield Models 441 11.2 Fitting TermStructure Models to the Data 442 11.2.1 Real Bonds, Nominal Bonds, and Inflation 442 11.2.2 Empirical Evidence on AffineYield Models 445 11.3 Pricing FixedIncome Derivative Securities 455 11.3.1 Fitting the Current Term Structure Exactly 456 11.3.2 Forwards and Futures 458 11.3.3 Option Pricing in a TermStructure Model 461 11.4 Conclusion 464 12 Nonlinearities in Financial Data 467 12.1 Nonlinear Structure in Univariate Time Series 468 12.1.1 Some Parametric Models 470 12.1.2 Univariate Tests for Nonlinear Structure 475 12.2 Models of Changing Volatility 479 12.2.1 Univariate Models 481 12.2.2 Multivariate Models 490 12.2.3 Links between First and Second Moments 494 12.3 Nonparametric Estimation 498 12.3.1 Kernel Regression 500 12.3.2 Optimal Bandwidth Selection 502 12.3.3 Average Derivative Estimators 504 12.3.4 Application: Estimating StatePrice Densities 507 12.4 Artificial Neural Networks 512 12.4.1 Multilayer Perceptrons 512 12.4.2 Radial Basis Functions 516 12.4.3 Projection Pursuit Regression 518 12.4.4 Limitations of Learning Networks 518 12.4.5 Application: Learning the BlackScholes Formula 519 12.5 Overfitting and DataSnooping 523 12.6 Conclusion 524 Appendix 527 A.1 Linear Instrumental Variables 527 A.2 Generalized Method of Moments 532 A.3 Serially Correlated and Heteroskedastic Errors 534 A.4 GMM and Maximum Likelihood 536 References 541 Author Index 587 Subject Index 597.
 (source: Nielsen Book Data)9780691043012 20160605
(source: Nielsen Book Data)9780691043012 20160605
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HG4523 .C27 1997  Unknown 2hour loan 
FINANCE62001
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
10. Microeconomic theory [1995]
 MasColell, Andreu.
 New York : Oxford University Press, 1995.
 Description
 Book — xvii, 981 p. : ill ; 26 cm.
 Summary

 PART I: INDIVIDUAL DECISIONMAKING  Introduction to Part I  1. Preference and Choice  2. Consumer Choice  3. Classical Demand Theory  4. Aggregate Demand  5. Production  6. Choice under Uncertainty  PART II: GAME THEORY  Introduction to Part II  7. Chapter 7: Basic Elements of NonCooperative Games  8. Chapter 8: SimultaneousMove Games  9. Chapter 9: Dynamic Games  PART III: MARKET EQUILIBRIUM AND MARKET FAILURE  Introduction to Part III  10. Chapter 10: Competitive Markets  11. Extrnalities and Public Goods  12. Market Power  13. Adverse Selection, Signalling, and Screening  14. The PrincipalAgent Problem  PART IV: GENERAL EQUILIBRIUM  Introduction to Part IV  15. General Equilibrium Theory: Some Examples  16. Equilibrium and its Basic Welfare Properties  17. The Positive Theory of Equilibrium  18. Some Foundations for Competitive Equilibria  19. General Equilibrium under Uncertainty  20. Equilibrium and Time  PART V: WELFARE ECONOMICS AND INCENTIVES  Introduction to Part V  21. Social Choice Theory  22. Elements of Welfare Economics and Axiomatic Bargaining  23. Incentives and Mechanism Design  Mathematical Appendix.
 (source: Nielsen Book Data)9780195102680 20160605
(source: Nielsen Book Data)9780195073409 20160605
This textbook aims to provide a comprehensive overview of the essentials of microeconomics. It offers unprecedented depth of coverage, whilst allowing lecturers to 'tailormake' their courses to suit personal priorities. Covering topics such as noncooperative game theory, information economics, mechanism design and general equilibrium under uncertainty, it is written in a clear, accessible and engaging style and provides practice exercises and a full appendix of terminology.
(source: Nielsen Book Data)9780195102680 20160605
 Online
Business Library
Business Library  Status 

On reserve at Business Library  
HB172 .M6247 1995  Unknown 2hour loan 
HB172 .M6247 1995  Unknown 2hour loan 
FINANCE62001, GSBGEN67501
 Course
 FINANCE62001  Financial Markets I
 Instructor(s)
 Hebert, Benjamin Michael
 Course
 GSBGEN67501  Microeconomic Theory
 Instructor(s)
 Foarta, Octavia Daniela