Asset Pricing. Chapter V. Risk Aversion and Investment Decisions, Part I. June 20, 2006

Size: px
Start display at page:

Download "Asset Pricing. Chapter V. Risk Aversion and Investment Decisions, Part I. June 20, 2006"

Transcription

1 Chapter V. Risk Aversion and Investment Decisions, Part I June 20, 2006

2 The Canonical Portfolio Problem The various problems considered in this chapter (and the next) max a EU(Ỹ1) = max EU (Y 0 (1 + r f ) + a ( r r f )), (1) Consider first an agent solving the following two period consumption-savings problem: maxe{u(y 0 s) + δu(s R)}, s s.t. Y 0 s 0 (2) max U(Y 0 s) + δeu(s(1 + r f ) + a( r r f )), (3) {a,s}

3 The Canonical Portfolio Problem max a EU(Ỹ1) = max EU (Y 0 (1 + r f ) + a ( r r f )), (4) First order condition (FOC): E [ U (Y 0 (1 + r f ) + a ( r r f )) ( r r f ) ] = 0 (5) Theorem (Theorem 5.1:) Assume U ( ) > 0, and U ( ) < 0 and let â denote the solution to problem (1). Then â > 0 E r > r f â = 0 E r = r f â < 0 E r < r f

4 The Canonical Portfolio Problem Theorem (Proof of Theorem 5.1:) Define W (a) = E {U (Y 0 (1 + r f ) + a ( r r f ))}. The FOC (5) can then be written W (a) = E [U (Y 0 (1 + r f ) + a ( r r f )) ( r r f )] = 0. By risk aversion [(U < 0), W (a) = E U (Y 0 (1 + r f ) + a ( r r f )) ( r r f ) 2] < 0, that is, W (a) is everywhere decreasing. It follows that â will be positive if and only if W (0) = U (Y 0 (1 + r f )) E ( r r f ) > 0 (since then a will have to be increased from the value of 0 to achieve equality in the FOC). Since U is always strictly positive, this implies â > 0 if and only if E ( r r f ) > 0. The other assertion follows similarly.

5 The Canonical Portfolio Problem U(Y ) = ln Y a = (1 + r f )[E r r f ] > 0. (6) Y 0 (r 1 r f )(r 2 r f )

6 Theorem (5.2:) Suppose, for all wealth levels Y, R 1 A (Y ) > R2 A (Y ) where Ri A (Y ) is the measure of absolute risk aversion of investor i, i = 1, 2. Then â 1 (Y ) < â 2 (Y ) Theorem ( 5.3:) Suppose, for all wealth levels Y > 0, RR 1 (Y ) > R2 R (Y ) where RR i (Y ) is the measure of relative risk aversion of investor i, i = 1, 2. Then â 1 (Y ) < â 2 (Y ).

7 Theorem (5.4 (Arrow, 1971)) Let â = â (Y 0 ) be the solution to problem (1) above; then: (i) R A (Y ) < 0 â (Y 0 ) > 0 (ii) R A (Y ) = 0 â (Y 0 ) = 0 (iii) R A (Y ) > 0 â (Y 0 ) < 0.

8 η(y, â) = dâ/â dy /Y = Y dâ â dy Theorem (5.5 (Arrow, 1971):) If, for all wealth levels Y, (i) R R (Y ) = 0 (CRRA) then η = 1 (ii) R R (Y ) < 0 (DRRA) then η > 1 (iii) R R (Y ) > 0 (IRRA) then η < 1

9 Theorem (5.6 (Cass and Stiglitz, 1970):) â 1 (Y 0 ) Let the vector.. denote the amount optimally â J (Y 0 ) invested in the J risky assets if the wealth level is Y 0. â 1 (Y 0 ) a 1 Then.. =.. f (Y 0) â J (Y 0 ) a J (for some arbitrary function f ( )) if and only if either (i) U (Y 0 ) = (θy 0 + κ) or (ii) U (Y 0 ) = ξe vy 0

10 maxe{u(y 0 s) + δu(s R)}, s s.t. Y 0 s 0 (7) U (Y 0 s) = δe{u (s R) R} (8) Theorem (5.7 (Rothschild and Stiglitz,1971):) Let R A, R B be two return distributions with identical means such that R A SSD R B, and let s A and s B be, respectively, the savings out of Y 0 corresponding to the return distributions R A and R B. If R R (Y ) 0 and R R(Y ) > 1, then s A < s B ; If R R (Y ) 0 and R R(Y ) < 1, then s A > s B.

11 P(c) = U (c) U (c) P(c)c = cu (c) U (c) Theorem (5.8) Let R A, R B be two return distributions such that R A SSD R B, and let s A and s B be, respectively, the savings out of Y 0 corresponding to the return distributions R A and R B. Then, and conversely, s A s B iff c P(c) 2, s A < s B iff c P(c) > 2

12 Assume CRRA max U(Y 0 s) + δeu(s(1 + r f ) + a( r r f )), (9) {a,s} s : (Y 0 s) γ ( 1) + δe ( [s(1 + r f ) + a( r r f )] γ (1 + r f ) ) = 0 a : E [ (s(1 + r f ) + a( r r f )) γ ( r r f ) ] = 0 Solution: a/s independent of s

13 Increasing, decreasing, constant abosolute/relative risk aversion and their effects on portfolio composition ( risk free asset vs. Risky portfolio) Risk aversion and the composition of the optimal risky portfolio (Cass-Stiglitz) Prudence and Savings behavior

ECON4510 Finance Theory Lecture 2

ECON4510 Finance Theory Lecture 2 ECON4510 Finance Theory Lecture 2 Diderik Lund Department of Economics University of Oslo 26 August 2013 Diderik Lund, Dept. of Economics, UiO ECON4510 Lecture 2 26 August 2013 1 / 31 Risk aversion and

More information

Recitation 7: Uncertainty. Xincheng Qiu

Recitation 7: Uncertainty. Xincheng Qiu Econ 701A Fall 2018 University of Pennsylvania Recitation 7: Uncertainty Xincheng Qiu (qiux@sas.upenn.edu 1 Expected Utility Remark 1. Primitives: in the basic consumer theory, a preference relation is

More information

Consumption. Consider a consumer with utility. v(c τ )e ρ(τ t) dτ.

Consumption. Consider a consumer with utility. v(c τ )e ρ(τ t) dτ. Consumption Consider a consumer with utility v(c τ )e ρ(τ t) dτ. t He acts to maximize expected utility. Utility is increasing in consumption, v > 0, and concave, v < 0. 1 The utility from consumption

More information

Von Neumann Morgenstern Expected Utility. I. Introduction, Definitions, and Applications. Decision Theory Spring 2014

Von Neumann Morgenstern Expected Utility. I. Introduction, Definitions, and Applications. Decision Theory Spring 2014 Von Neumann Morgenstern Expected Utility I. Introduction, Definitions, and Applications Decision Theory Spring 2014 Origins Blaise Pascal, 1623 1662 Early inventor of the mechanical calculator Invented

More information

Increases in Risk Aversion and Portfolio Choice in a Complete Market

Increases in Risk Aversion and Portfolio Choice in a Complete Market Increases in Risk Aversion and Portfolio Choice in a Complete Market Philip H. Dybvig Yajun Wang August 2, 2009 Abstract We examine the effect of changes in risk aversion on optimal portfolio choice in

More information

Increases in Risk Aversion and the Distribution of Portfolio Payoffs

Increases in Risk Aversion and the Distribution of Portfolio Payoffs Increases in Risk Aversion and the Distribution of Portfolio Payoffs Philip H. Dybvig Yajun Wang July 14, 2010 Abstract In this paper, we derive new comparative statics results in the distribution of portfolio

More information

Choice under uncertainty

Choice under uncertainty Choice under uncertainty Expected utility theory The agent chooses among a set of risky alternatives (lotteries) Description of risky alternatives (lotteries) a lottery L = a random variable on a set of

More information

Asset Pricing. Chapter IX. The Consumption Capital Asset Pricing Model. June 20, 2006

Asset Pricing. Chapter IX. The Consumption Capital Asset Pricing Model. June 20, 2006 Chapter IX. The Consumption Capital Model June 20, 2006 The Representative Agent Hypothesis and its Notion of Equilibrium 9.2.1 An infinitely lived Representative Agent Avoid terminal period problem Equivalence

More information

Fundamentals in Optimal Investments. Lecture I

Fundamentals in Optimal Investments. Lecture I Fundamentals in Optimal Investments Lecture I + 1 Portfolio choice Portfolio allocations and their ordering Performance indices Fundamentals in optimal portfolio choice Expected utility theory and its

More information

Incremental Risk Vulnerability 1

Incremental Risk Vulnerability 1 Incremental Risk Vulnerability 1 Guenter Franke 2, Richard C. Stapleton 3 and Marti G Subrahmanyam 4 June 13, 2005 1 We are very much indebted to two unknown referees for their excellent comments. Section

More information

The Cake-Eating problem: Non-linear sharing rules

The Cake-Eating problem: Non-linear sharing rules The Cake-Eating problem: Non-linear sharing rules Eugenio Peluso 1 and Alain Trannoy 2 Conference In Honor of Louis Eeckhoudt June 2012 1 Department of Economics, University of Verona (Italy) 2 Aix-Marseille

More information

Notes on Recursive Utility. Consider the setting of consumption in infinite time under uncertainty as in

Notes on Recursive Utility. Consider the setting of consumption in infinite time under uncertainty as in Notes on Recursive Utility Consider the setting of consumption in infinite time under uncertainty as in Section 1 (or Chapter 29, LeRoy & Werner, 2nd Ed.) Let u st be the continuation utility at s t. That

More information

Asset Pricing. Chapter III. Making Choice in Risky Situations. June 20, 2006

Asset Pricing. Chapter III. Making Choice in Risky Situations. June 20, 2006 Chapter III. Making Choice in Risky Situations June 20, 2006 A future risky cash flow is modelled as a random variable State-by-state dominance =>incomplete ranking «riskier» Table 3.1: Asset Payoffs ($)

More information

FINM6900 Finance Theory Noisy Rational Expectations Equilibrium for Multiple Risky Assets

FINM6900 Finance Theory Noisy Rational Expectations Equilibrium for Multiple Risky Assets FINM69 Finance Theory Noisy Rational Expectations Equilibrium for Multiple Risky Assets February 3, 212 Reference Anat R. Admati, A Noisy Rational Expectations Equilibrium for Multi-Asset Securities Markets,

More information

Joint-Search Theory. Bulent Guler 1 Fatih Guvenen 2 Gianluca Violante 3. Indiana University

Joint-Search Theory. Bulent Guler 1 Fatih Guvenen 2 Gianluca Violante 3. Indiana University Joint-Search Theory Bulent Guler 1 Fatih Guvenen 2 Gianluca Violante 3 1 Indiana University 2 University of Minnesota 3 New York University Indiana University GGV (UT-Austin, NYU) Joint-Search Theory IUB

More information

Incremental Risk Vulnerability 1

Incremental Risk Vulnerability 1 Incremental Risk Vulnerability 1 Guenter Franke 2, Richard C. Stapleton 3 and Marti G Subrahmanyam 4 September 23, 2005 1 We are very much indebted to two unknown referees for their excellent comments.

More information

Incremental Risk Vulnerability

Incremental Risk Vulnerability Incremental Risk Vulnerability Guenter Franke 1, Richard C. Stapleton 2 and Marti G Subrahmanyam 3 December 15, 2003 1 Fakultät für Wirtschaftswissenschaften und Statistik, University of Konstanz, email:

More information

In the Ramsey model we maximized the utility U = u[c(t)]e nt e t dt. Now

In the Ramsey model we maximized the utility U = u[c(t)]e nt e t dt. Now PERMANENT INCOME AND OPTIMAL CONSUMPTION On the previous notes we saw how permanent income hypothesis can solve the Consumption Puzzle. Now we use this hypothesis, together with assumption of rational

More information

A SECOND ORDER STOCHASTIC DOMINANCE PORTFOLIO EFFICIENCY MEASURE

A SECOND ORDER STOCHASTIC DOMINANCE PORTFOLIO EFFICIENCY MEASURE K Y B E R N E I K A V O L U M E 4 4 ( 2 0 0 8 ), N U M B E R 2, P A G E S 2 4 3 2 5 8 A SECOND ORDER SOCHASIC DOMINANCE PORFOLIO EFFICIENCY MEASURE Miloš Kopa and Petr Chovanec In this paper, we introduce

More information

Perturbative Approaches for Robust Intertemporal Optimal Portfolio Selection

Perturbative Approaches for Robust Intertemporal Optimal Portfolio Selection Perturbative Approaches for Robust Intertemporal Optimal Portfolio Selection F. Trojani and P. Vanini ECAS Course, Lugano, October 7-13, 2001 1 Contents Introduction Merton s Model and Perturbative Solution

More information

1 Uncertainty. These notes correspond to chapter 2 of Jehle and Reny.

1 Uncertainty. These notes correspond to chapter 2 of Jehle and Reny. These notes correspond to chapter of Jehle and Reny. Uncertainty Until now we have considered our consumer s making decisions in a world with perfect certainty. However, we can extend the consumer theory

More information

Introduction to Computational Finance and Financial Econometrics Probability Theory Review: Part 2

Introduction to Computational Finance and Financial Econometrics Probability Theory Review: Part 2 Introduction to Computational Finance and Financial Econometrics Probability Theory Review: Part 2 Eric Zivot July 7, 2014 Bivariate Probability Distribution Example - Two discrete rv s and Bivariate pdf

More information

14.12 Game Theory Lecture Notes Theory of Choice

14.12 Game Theory Lecture Notes Theory of Choice 14.12 Game Theory Lecture Notes Theory of Choice Muhamet Yildiz (Lecture 2) 1 The basic theory of choice We consider a set X of alternatives. Alternatives are mutually exclusive in the sense that one cannot

More information

Utility Theory CHAPTER Single period utility theory

Utility Theory CHAPTER Single period utility theory CHAPTER 7 Utility Theory 7.. Single period utility theory We wish to use a concept of utility that is able to deal with uncertainty. So we introduce the von Neumann Morgenstern utility function. The investor

More information

ECON4515 Finance theory 1 Diderik Lund, 5 May Perold: The CAPM

ECON4515 Finance theory 1 Diderik Lund, 5 May Perold: The CAPM Perold: The CAPM Perold starts with a historical background, the development of portfolio theory and the CAPM. Points out that until 1950 there was no theory to describe the equilibrium determination of

More information

WORKING PAPER MASSACHUSETTS ALFRED P. SLOAN SCHOOL OF MANAGEMENT. c.x CAMBRIDGE, MASSACHUSETTS INSTITUTE OF TECHNOLOGY 50 MEMORIAL DRIVE

WORKING PAPER MASSACHUSETTS ALFRED P. SLOAN SCHOOL OF MANAGEMENT. c.x CAMBRIDGE, MASSACHUSETTS INSTITUTE OF TECHNOLOGY 50 MEMORIAL DRIVE rr u-" '^ " r\ liivjfi >-^ K^- -^.^, c.x WORKING PAPER ALFRED P. SLOAN SCHOOL OF MANAGEMENT A NOTE ON THE NECESSARY CONDITION FOR LINEAR SHARING t AND SEPARATION by Chi-fu Huang" and Robert Li tzenberger"

More information

Uncertainty Per Krusell & D. Krueger Lecture Notes Chapter 6

Uncertainty Per Krusell & D. Krueger Lecture Notes Chapter 6 1 Uncertainty Per Krusell & D. Krueger Lecture Notes Chapter 6 1 A Two-Period Example Suppose the economy lasts only two periods, t =0, 1. The uncertainty arises in the income (wage) of period 1. Not that

More information

Practice Problems 2 (Ozan Eksi) ( 1 + r )i E t y t+i + (1 + r)a t

Practice Problems 2 (Ozan Eksi) ( 1 + r )i E t y t+i + (1 + r)a t Practice Problems 2 Ozan Eksi) Problem Quadratic Utility Function and Fixed Income) Let s assume that = r; and consumers preferences are represented by a quadratic utility function uc) = c b=2 c 2 : When

More information

Advanced Microeconomic Analysis Solutions to Homework #2

Advanced Microeconomic Analysis Solutions to Homework #2 Advanced Microeconomic Analysis Solutions to Homework #2 0..4 Prove that Hicksian demands are homogeneous of degree 0 in prices. We use the relationship between Hicksian and Marshallian demands: x h i

More information

Course Handouts: Pages 1-20 ASSET PRICE BUBBLES AND SPECULATION. Jan Werner

Course Handouts: Pages 1-20 ASSET PRICE BUBBLES AND SPECULATION. Jan Werner Course Handouts: Pages 1-20 ASSET PRICE BUBBLES AND SPECULATION Jan Werner European University Institute May 2010 1 I. Price Bubbles: An Example Example I.1 Time is infinite; so dates are t = 0,1,2,...,.

More information

Equilibrium with Transaction Costs

Equilibrium with Transaction Costs National Meeting of Women in Financial Mathematics IPAM April 2017 Kim Weston University of Texas at Austin Based on Existence of a Radner equilibrium in a model with transaction costs, https://arxiv.org/abs/1702.01706

More information

J. Marín-Solano (UB), M. Bosch-Príncep (UB), J. Dhaene (KUL), C. Ribas (UB), O. Roch (UB), S. Vanduffel (KUL)

J. Marín-Solano (UB), M. Bosch-Príncep (UB), J. Dhaene (KUL), C. Ribas (UB), O. Roch (UB), S. Vanduffel (KUL) BUY AND HOLD STRATEGIES IN OPTIMAL PORTFOLIO SELECTION PROBLEMS: COMONOTONIC APPROXIMATIONS J. Marín-Solano (UB), M. Bosch-Príncep (UB), J. Dhaene (KUL), C. Ribas (UB), O. Roch (UB), S. Vanduffel (KUL)

More information

ECON4510 Finance Theory Lecture 1

ECON4510 Finance Theory Lecture 1 ECON4510 Finance Theory Lecture 1 Diderik Lund Department of Economics University of Oslo 18 January 2016 Diderik Lund, Dept. of Economics, UiO ECON4510 Lecture 1 18 January 2016 1 / 38 Administrative

More information

Intertemporal Risk Aversion, Stationarity, and Discounting

Intertemporal Risk Aversion, Stationarity, and Discounting Traeger, CES ifo 10 p. 1 Intertemporal Risk Aversion, Stationarity, and Discounting Christian Traeger Department of Agricultural & Resource Economics, UC Berkeley Introduce a more general preference representation

More information

Measuring the informativeness of economic actions and. market prices 1. Philip Bond, University of Washington. September 2014

Measuring the informativeness of economic actions and. market prices 1. Philip Bond, University of Washington. September 2014 Measuring the informativeness of economic actions and market prices 1 Philip Bond, University of Washington September 2014 1 I thank Raj Singh for some very constructive conversations, along with a seminar

More information

Choice Under Uncertainty

Choice Under Uncertainty Choice Under Uncertainty Z a finite set of outcomes. P the set of probabilities on Z. p P is (p 1,...,p n ) with each p i 0 and n i=1 p i = 1 Binary relation on P. Objective probability case. Decision

More information

TWO-FUND SEPARATION IN DYNAMIC GENERAL EQUILIBRIUM

TWO-FUND SEPARATION IN DYNAMIC GENERAL EQUILIBRIUM TWO-FUND SEPARATION IN DYNAMIC GENERAL EQUILIBRIUM KARL SCHMEDDERS KELLOGG SCHOOL OF MANAGEMENT NORTHWESTERN UNIVERSITY K-SCHMEDDERS@NORTHWESTERN.EDU JANUARY 18, 2005 Abstract. The purpose of this paper

More information

Stochastic Dominance and Prospect Dominance with Subjective Weighting Functions

Stochastic Dominance and Prospect Dominance with Subjective Weighting Functions Stochastic Dominance and Prospect Dominance with Subjective Weighting Functions Haim Levy *, Zvi Wiener * Second version 2/15/98 Please address your correspondence to Haim Levy at Business School, The

More information

Toward a Systematic Approach to the Economic Effects of Risk: Characterizing Utility Functions

Toward a Systematic Approach to the Economic Effects of Risk: Characterizing Utility Functions Toward a Systematic Approach to the Economic Effects of Risk: Characterizing Utility Functions Christian GOLLIER Toulouse School of Economics Miles S. KIMBALL University of Colorado Boulder March 27, 2018

More information

Wealth, Information Acquisition and Portfolio Choice: A Correction

Wealth, Information Acquisition and Portfolio Choice: A Correction Wealth, Information Acquisition and Portfolio Choice: A Correction Joel Peress INSEAD There is an error in our 2004 paper Wealth, Information Acquisition and Portfolio Choice. This note shows how to correct

More information

Advanced Macroeconomics

Advanced Macroeconomics Advanced Macroeconomics The Ramsey Model Marcin Kolasa Warsaw School of Economics Marcin Kolasa (WSE) Ad. Macro - Ramsey model 1 / 30 Introduction Authors: Frank Ramsey (1928), David Cass (1965) and Tjalling

More information

ECO 317 Economics of Uncertainty Fall Term 2009 Problem Set 3 Answer Key The distribution was as follows: <

ECO 317 Economics of Uncertainty Fall Term 2009 Problem Set 3 Answer Key The distribution was as follows: < ECO 317 Economics of Uncertainty Fall Term 2009 Problem Set 3 Answer Key The distribution was as follows: Question 1: 100 90-99 80-89 70-79 < 70 1 11 3 1 3 (a) (5 points) F 1 being FOSD over F 2 is equivalent

More information

Stochastic dominance and risk measure: A decision-theoretic foundation for VaR and C-VaR

Stochastic dominance and risk measure: A decision-theoretic foundation for VaR and C-VaR Hong Kong Baptist University HKBU Institutional Repository Department of Economics Journal Articles Department of Economics 2010 Stochastic dominance and risk measure: A decision-theoretic foundation for

More information

Nonlinear GMM. Eric Zivot. Winter, 2013

Nonlinear GMM. Eric Zivot. Winter, 2013 Nonlinear GMM Eric Zivot Winter, 2013 Nonlinear GMM estimation occurs when the GMM moment conditions g(w θ) arenonlinearfunctionsofthe model parameters θ The moment conditions g(w θ) may be nonlinear functions

More information

Portfolio optimization with stochastic dominance constraints

Portfolio optimization with stochastic dominance constraints Charles University in Prague Faculty of Mathematics and Physics Portfolio optimization with stochastic dominance constraints December 16, 2014 Contents Motivation 1 Motivation 2 3 4 5 Contents Motivation

More information

Privatization and investment: Crowding-out effect vs financial diversification. Very preliminary draft

Privatization and investment: Crowding-out effect vs financial diversification. Very preliminary draft Privatization and investment: Crowding-out effect vs financial diversification Very preliminary draft Guillaume Girmens EPEE, Université d Evry-Val d Essonne, bd. F. Mitterrand, 91025 Evry cedex, France

More information

Course Handouts ECON 4161/8001 MICROECONOMIC ANALYSIS. Jan Werner. University of Minnesota

Course Handouts ECON 4161/8001 MICROECONOMIC ANALYSIS. Jan Werner. University of Minnesota Course Handouts ECON 4161/8001 MICROECONOMIC ANALYSIS Jan Werner University of Minnesota FALL SEMESTER 2017 1 PART I: Producer Theory 1. Production Set Production set is a subset Y of commodity space IR

More information

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011

HJB equations. Seminar in Stochastic Modelling in Economics and Finance January 10, 2011 Department of Probability and Mathematical Statistics Faculty of Mathematics and Physics, Charles University in Prague petrasek@karlin.mff.cuni.cz Seminar in Stochastic Modelling in Economics and Finance

More information

Speculative Investor Behavior and Learning

Speculative Investor Behavior and Learning Speculative Investor Behavior and Learning QJE 1996 Stephen Morris presentation by Jonathan R. L. Halket Speculative Investor Behavior and Learning by Stephen Morris p. 1/13 Introduction and Motivation

More information

Optimal Consumption, Investment and Insurance Problem in Infinite Time Horizon

Optimal Consumption, Investment and Insurance Problem in Infinite Time Horizon Optimal Consumption, Investment and Insurance Problem in Infinite Time Horizon Bin Zou and Abel Cadenillas Department of Mathematical and Statistical Sciences University of Alberta August 213 Abstract

More information

1. Linear Incentive Schemes

1. Linear Incentive Schemes ECO 317 Economics of Uncertainty Fall Term 2009 Slides to accompany 20. Incentives for Effort - One-Dimensional Cases 1. Linear Incentive Schemes Agent s effort x, principal s outcome y. Agent paid w.

More information

COMPARATIVE STATICS FOR RANK-DEPENDENT EXPECT- ED UTILITY THEORY

COMPARATIVE STATICS FOR RANK-DEPENDENT EXPECT- ED UTILITY THEORY COMPARATIVE STATICS FOR RANK-DEPENDENT EXPECT- ED UTILITY THEORY John Quiggin Department of Agricultural and Resource Economics University of Maryland Quiggin, J. (1991), Comparative statics for Rank-Dependent

More information

THE UTILITY PREMIUM. Louis Eeckhoudt, Catholic Universities of Mons and Lille Research Associate CORE

THE UTILITY PREMIUM. Louis Eeckhoudt, Catholic Universities of Mons and Lille Research Associate CORE THE UTILITY PREMIUM Louis Eeckhoudt, Catholic Universities of Mons and Lille Research Associate CORE Harris Schlesinger, University of Alabama, CoFE Konstanz Research Fellow CESifo * Beatrice Rey, Institute

More information

The Non-Existence of Representative Agents

The Non-Existence of Representative Agents The Non-Existence of Representative Agents Matthew O. Jackson and Leeat Yariv November 2015 Abstract We characterize environments in which there exists a representative agent: an agent who inherits the

More information

Duality and consumption decisions under income and price risk

Duality and consumption decisions under income and price risk Journal of Mathematical Economics 41 (2005) 387 405 Duality and consumption decisions under income and price risk Carmen F. Menezes a, X. Henry Wang a,, John P. Bigelow b a Department of Economics, University

More information

A new approach for investment performance measurement. 3rd WCMF, Santa Barbara November 2009

A new approach for investment performance measurement. 3rd WCMF, Santa Barbara November 2009 A new approach for investment performance measurement 3rd WCMF, Santa Barbara November 2009 Thaleia Zariphopoulou University of Oxford, Oxford-Man Institute and The University of Texas at Austin 1 Performance

More information

A Note on Beneficial Changes in Random Variables

A Note on Beneficial Changes in Random Variables The Geneva Papers on Risk and Insurance Theory, 17:2 171-179(1992) 1992 The Geneva Association A Note on eneficial Changes in Random Variables JOSEF HADAR TAE KUN SEO Department of Economics, Southern

More information

Approximation around the risky steady state

Approximation around the risky steady state Approximation around the risky steady state Centre for International Macroeconomic Studies Conference University of Surrey Michel Juillard, Bank of France September 14, 2012 The views expressed herein

More information

1 Markov decision processes

1 Markov decision processes 2.997 Decision-Making in Large-Scale Systems February 4 MI, Spring 2004 Handout #1 Lecture Note 1 1 Markov decision processes In this class we will study discrete-time stochastic systems. We can describe

More information

1 Uncertainty and Insurance

1 Uncertainty and Insurance Uncertainty and Insurance Reading: Some fundamental basics are in Varians intermediate micro textbook (Chapter 2). A good (advanced, but still rather accessible) treatment is in Kreps A Course in Microeconomic

More information

A Correction. Joel Peress INSEAD. Abstract

A Correction. Joel Peress INSEAD. Abstract Wealth, Information Acquisition and ortfolio Choice A Correction Joel eress INSEAD Abstract There is an error in my 2004 paper Wealth, Information Acquisition and ortfolio Choice. This note shows how to

More information

Lecture 6: Recursive Preferences

Lecture 6: Recursive Preferences Lecture 6: Recursive Preferences Simon Gilchrist Boston Univerity and NBER EC 745 Fall, 2013 Basics Epstein and Zin (1989 JPE, 1991 Ecta) following work by Kreps and Porteus introduced a class of preferences

More information

Corrections to Theory of Asset Pricing (2008), Pearson, Boston, MA

Corrections to Theory of Asset Pricing (2008), Pearson, Boston, MA Theory of Asset Pricing George Pennacchi Corrections to Theory of Asset Pricing (8), Pearson, Boston, MA. Page 7. Revise the Independence Axiom to read: For any two lotteries P and P, P P if and only if

More information

Ambiguity and Information Processing in a Model of Intermediary Asset Pricing

Ambiguity and Information Processing in a Model of Intermediary Asset Pricing Ambiguity and Information Processing in a Model of Intermediary Asset Pricing Leyla Jianyu Han 1 Kenneth Kasa 2 Yulei Luo 1 1 The University of Hong Kong 2 Simon Fraser University December 15, 218 1 /

More information

Uncertainty aversion and heterogeneous beliefs in linear models

Uncertainty aversion and heterogeneous beliefs in linear models Uncertainty aversion and heterogeneous beliefs in linear models Cosmin Ilut Duke & NBER Pavel Krivenko Stanford March 2016 Martin Schneider Stanford & NBER Abstract This paper proposes a simple perturbation

More information

Are Probabilities Used in Markets? 1

Are Probabilities Used in Markets? 1 Journal of Economic Theory 91, 8690 (2000) doi:10.1006jeth.1999.2590, available online at http:www.idealibrary.com on NOTES, COMMENTS, AND LETTERS TO THE EDITOR Are Probabilities Used in Markets? 1 Larry

More information

Thomas Knispel Leibniz Universität Hannover

Thomas Knispel Leibniz Universität Hannover Optimal long term investment under model ambiguity Optimal long term investment under model ambiguity homas Knispel Leibniz Universität Hannover knispel@stochastik.uni-hannover.de AnStAp0 Vienna, July

More information

Prudence with Multiplicative Risk

Prudence with Multiplicative Risk EDHEC-isk Institute 393-400 promenade des Anglais 06202 Nice Cedex 3 Tel.: +33 (0)4 93 18 32 53 E-mail: research@edhec-risk.com Web:.edhec-risk.com Prudence ith Multiplicative isk December 2008 Octave

More information

Efficient optimization of the reward-risk ratio with polyhedral risk measures

Efficient optimization of the reward-risk ratio with polyhedral risk measures Math Meth Oper Res (2017) 86:625 653 https://doi.org/10.1007/s00186-017-0613-1 ORIGINAL ARTICLE Efficient optimization of the reward-risk ratio with polyhedral risk measures Wlodzimierz Ogryczak 1 Michał

More information

Notes on the Risk Premium and Risk Aversion

Notes on the Risk Premium and Risk Aversion CALIFORNIA INSTITUTE OF TECHNOLOGY Division of the Humanities and Social Sciences Notes on the Risk Premium and Risk Aversion KC Border May 1996 1 Preliminaries The risk premium π u (w, Z) for an expected

More information

Heterogeneous Beliefs and Prediction Market Accuracy

Heterogeneous Beliefs and Prediction Market Accuracy Heterogeneous Beliefs and Prediction Market Accuracy Xue-Zhong He Nicolas Treich August 20, 2012 Abstract We consider a prediction market in which traders have heterogeneous prior beliefs in probabilities.

More information

A possibilistic approach to risk premium

A possibilistic approach to risk premium A possibilistic approach to risk premium Irina Georgescu Åbo Akademi University, Department of Information Technologies, Joukahaisenkatu 3 5, 4th floor, Turku, Finland and Academy of Economic Studies,

More information

Birgit Rudloff Operations Research and Financial Engineering, Princeton University

Birgit Rudloff Operations Research and Financial Engineering, Princeton University TIME CONSISTENT RISK AVERSE DYNAMIC DECISION MODELS: AN ECONOMIC INTERPRETATION Birgit Rudloff Operations Research and Financial Engineering, Princeton University brudloff@princeton.edu Alexandre Street

More information

Microeconomic Theory I Midterm

Microeconomic Theory I Midterm Microeconomic Theory I Midterm November 3, 2016 Name:... Student number:... Q1 Points Q2 Points Q3 Points Q4 Points 1a 2a 3a 4a 1b 2b 3b 4b 1c 2c 4c 2d 4d Each question has the same value. You need to

More information

New Methods in the Classical Economics of Uncertainty : Comparing Risks 1

New Methods in the Classical Economics of Uncertainty : Comparing Risks 1 New Methods in the Classical Economics of Uncertainty : Comparing Risks 1 Christian GOLLIER Toulouse School of Economics Miles S. KIMBALL University of Michigan May 23, 2008 1 This paper was written while

More information

Backward and Forward Preferences

Backward and Forward Preferences Backward and Forward Preferences Undergraduate scholars: Gongyi Chen, Zihe Wang Graduate mentor: Bhanu Sehgal Faculty mentor: Alfred Chong University of Illinois at Urbana-Champaign Illinois Risk Lab Illinois

More information

The Economic and Social Review, Vol. 38, No. 3, Winter, 2007, pp The Generalised Extreme Value Distribution as Utility Function

The Economic and Social Review, Vol. 38, No. 3, Winter, 2007, pp The Generalised Extreme Value Distribution as Utility Function The Economic and Social Review, Vol. 38, No. 3, Winter, 2007, pp. 275 288 The Generalised Extreme Value Distribution as Utility Function DENIS CONNIFFE* National University of Ireland, Maynooth, Co Kildare

More information

Econ 101A Midterm 2 Th 8 April 2009.

Econ 101A Midterm 2 Th 8 April 2009. Econ A Midterm Th 8 Aril 9. You have aroximately hour and minutes to answer the questions in the midterm. I will collect the exams at. shar. Show your work, and good luck! Problem. Production (38 oints).

More information

Linear Programming: Chapter 1 Introduction

Linear Programming: Chapter 1 Introduction Linear Programming: Chapter 1 Introduction Robert J. Vanderbei September 16, 2010 Slides last edited on October 5, 2010 Operations Research and Financial Engineering Princeton University Princeton, NJ

More information

Example I: Capital Accumulation

Example I: Capital Accumulation 1 Example I: Capital Accumulation Time t = 0, 1,..., T < Output y, initial output y 0 Fraction of output invested a, capital k = ay Transition (production function) y = g(k) = g(ay) Reward (utility of

More information

A Recourse Certainty Equivalent for Decisions Under Uncertainty

A Recourse Certainty Equivalent for Decisions Under Uncertainty A Recourse Certainty Equivalent for Decisions Under Uncertainty Aharon Ben-Tal Adi Ben-Israel August 1, 1989 Revised May 25, 1990 Abstract We propose a new criterion for decision-making under uncertainty.

More information

Variance Vulnerability, Background Risks, and Mean-Variance Preferences

Variance Vulnerability, Background Risks, and Mean-Variance Preferences The Geneva Papers on Risk and Insurance Theory, 28: 173 184, 2003 c 2003 The Geneva Association Variance Vulnerability, Background Risks, and Mean-Variance Preferences THOMAS EICHNER VWL IV, FB 5, University

More information

Risk Vulnerability: a graphical interpretation

Risk Vulnerability: a graphical interpretation Risk Vulnerability: a graphical interpretation Louis Eeckhoudt a, Béatrice Rey b,1 a IÉSEG School of Management, 3 rue de la Digue, 59000 Lille, France, and CORE, Voie du Roman Pays 34, 1348 Louvain-la-Neuve,

More information

1 Bewley Economies with Aggregate Uncertainty

1 Bewley Economies with Aggregate Uncertainty 1 Bewley Economies with Aggregate Uncertainty Sofarwehaveassumedawayaggregatefluctuations (i.e., business cycles) in our description of the incomplete-markets economies with uninsurable idiosyncratic risk

More information

ECON 2010c Solution to Problem Set 1

ECON 2010c Solution to Problem Set 1 ECON 200c Solution to Problem Set By the Teaching Fellows for ECON 200c Fall 204 Growth Model (a) Defining the constant κ as: κ = ln( αβ) + αβ αβ ln(αβ), the problem asks us to show that the following

More information

Motivation Non-linear Rational Expectations The Permanent Income Hypothesis The Log of Gravity Non-linear IV Estimation Summary.

Motivation Non-linear Rational Expectations The Permanent Income Hypothesis The Log of Gravity Non-linear IV Estimation Summary. Econometrics I Department of Economics Universidad Carlos III de Madrid Master in Industrial Economics and Markets Outline Motivation 1 Motivation 2 3 4 5 Motivation Hansen's contributions GMM was developed

More information

Solutions to Macro Final 2006

Solutions to Macro Final 2006 Solutions to Macro Final 6 th December 6 1 Problem 1 1.1 Part A Rewrite the utility function as U = ln(n) + ln (c) γ ln ( c) Notice that since the agent taes c as a constant, it will not factor into the

More information

Economic Growth (Continued) The Ramsey-Cass-Koopmans Model. 1 Literature. Ramsey (1928) Cass (1965) and Koopmans (1965) 2 Households (Preferences)

Economic Growth (Continued) The Ramsey-Cass-Koopmans Model. 1 Literature. Ramsey (1928) Cass (1965) and Koopmans (1965) 2 Households (Preferences) III C Economic Growth (Continued) The Ramsey-Cass-Koopmans Model 1 Literature Ramsey (1928) Cass (1965) and Koopmans (1965) 2 Households (Preferences) Population growth: L(0) = 1, L(t) = e nt (n > 0 is

More information

Pedantic Notes on the Risk Premium and Risk Aversion

Pedantic Notes on the Risk Premium and Risk Aversion Division of the Humanities and Social Sciences Pedantic Notes on the Risk Premium and Risk Aversion KC Border May 1996 1 Preliminaries The risk premium π u (w, Z) for an expected utility decision maker

More information

Comparing Risks by Acceptance and Rejection

Comparing Risks by Acceptance and Rejection Comparing Risks by Acceptance and Rejection Sergiu Hart January 4, 2011 Abstract Stochastic dominance is a partial order on risky assets ( gambles ) that is based on the uniform preference of all decision-makers

More information

Microeconomic Theory III Spring 2009

Microeconomic Theory III Spring 2009 MIT OpenCourseWare http://ocw.mit.edu 14.123 Microeconomic Theory III Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. MIT 14.123 (2009) by

More information

market prices 1 Philip Bond, University of Washington July 2015

market prices 1 Philip Bond, University of Washington July 2015 Measuring the informativeness of economic actions and market prices 1 Philip Bond, University of Washington July 2015 1 I thank Mehmet Eckmekci and Raj Singh for some very constructive comments, along

More information

1: PROBABILITY REVIEW

1: PROBABILITY REVIEW 1: PROBABILITY REVIEW Marek Rutkowski School of Mathematics and Statistics University of Sydney Semester 2, 2016 M. Rutkowski (USydney) Slides 1: Probability Review 1 / 56 Outline We will review the following

More information

When does aggregation reduce risk aversion?

When does aggregation reduce risk aversion? When does aggregation reduce risk aversion? Christopher P. Chambers and Federico Echenique April 22, 2009 Abstract We study the problem of risk sharing within a household facing subjective uncertainty.

More information

Neoclassical Growth Model / Cake Eating Problem

Neoclassical Growth Model / Cake Eating Problem Dynamic Optimization Institute for Advanced Studies Vienna, Austria by Gabriel S. Lee February 1-4, 2008 An Overview and Introduction to Dynamic Programming using the Neoclassical Growth Model and Cake

More information

1 Two elementary results on aggregation of technologies and preferences

1 Two elementary results on aggregation of technologies and preferences 1 Two elementary results on aggregation of technologies and preferences In what follows we ll discuss aggregation. What do we mean with this term? We say that an economy admits aggregation if the behavior

More information

An approximate consumption function

An approximate consumption function An approximate consumption function Mario Padula Very Preliminary and Very Incomplete 8 December 2005 Abstract This notes proposes an approximation to the consumption function in the buffer-stock model.

More information

Local Interactions in a Market with Heterogeneous Expectations

Local Interactions in a Market with Heterogeneous Expectations 1 / 17 Local Interactions in a Market with Heterogeneous Expectations Mikhail Anufriev 1 Andrea Giovannetti 2 Valentyn Panchenko 3 1,2 University of Technology Sydney 3 UNSW Sydney, Australia Computing

More information

Sensitivity analysis of the expected utility maximization problem with respect to model perturbations

Sensitivity analysis of the expected utility maximization problem with respect to model perturbations Sensitivity analysis of the expected utility maximization problem with respect to model perturbations Mihai Sîrbu, The University of Texas at Austin based on joint work with Oleksii Mostovyi University

More information

Trading Volume in Dynamically Efficient Markets

Trading Volume in Dynamically Efficient Markets Trading Volume in Dynamically Efficient Markets Tony BERRADA HEC Montréal, CIRANO and CREF Julien HUGONNIER University of Lausanne, CIRANO and FAME Marcel RINDISBACHER Rotman School of Management, University

More information