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9780691090221

Dynamic Asset Pricing Theory

by
  • ISBN13:

    9780691090221

  • ISBN10:

    069109022X

  • Edition: 3rd
  • Format: Hardcover
  • Copyright: 2001-10-01
  • Publisher: Princeton Univ Pr

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Summary

This is a thoroughly updated edition ofDynamic Asset Pricing Theory, the standard text for doctoral students and researchers on the theory of asset pricing and portfolio selection in multiperiod settings under uncertainty. The asset pricing results are based on the three increasingly restrictive assumptions: absence of arbitrage, single-agent optimality, and equilibrium. These results are unified with two key concepts, state prices and martingales. Technicalities are given relatively little emphasis, so as to draw connections between these concepts and to make plain the similarities between discrete and continuous-time models. Readers will be particularly intrigued by this latest edition's most significant new feature: a chapter on corporate securities that offers alternative approaches to the valuation of corporate debt. Also, while much of the continuous-time portion of the theory is based on Brownian motion, this third edition introduces jumps--for example, those associated with Poisson arrivals--in order to accommodate surprise events such as bond defaults. Applications include term-structure models, derivative valuation, and hedging methods. Numerical methods covered include Monte Carlo simulation and finite-difference solutions for partial differential equations. Each chapter provides extensive problem exercises and notes to the literature. A system of appendixes reviews the necessary mathematical concepts. And references have been updated throughout. With this new edition,Dynamic Asset Pricing Theoryremains at the head of the field.

Author Biography

Darrell Duffie is the James Irvin Miller Professor of Finance at the Graduate School of Business, Stanford University. He teaches and does research in the area of asset valuation, risk management, credit risk modeling, and fixed-income and equity markets

Table of Contents

Preface xiii
PART I DISCRETE-TIME MODELS 1(80)
Introduction to State Pricing
3(18)
Arbitrage and State Prices
3(1)
Risk-Neutral Probabilities
4(1)
Optimality and Asset Pricing
5(3)
Efficiency and Complete Markets
8(1)
Optimality and Representative Agents
8(3)
State-Price Beta Models
11(10)
Exercises
12(5)
Notes
17(4)
The Basic Multiperiod Model
21(28)
Uncertainty
21(1)
Security Markets
22(1)
Arbitrage, State Prices, and Martingales
22(2)
Individual Agent Optimality
24(2)
Equilibrium and Pareto Optimality
26(1)
Equilibrium Asset Pricing
27(1)
Arbitrage and Martingale Measures
28(2)
Valuation of Redundant Securities
30(1)
American Exercise Policies and Valuation
31(4)
Is Early Exercise Optimal?
35(14)
Exercises
37(8)
Notes
45(4)
The Dynamic Programming Approach
49(16)
The Bellman Approach
49(1)
First-Order Bellman Conditions
50(1)
Markov Uncertainty
51(1)
Markov Asset Pricing
52(1)
Security Pricing by Markov Control
52(3)
Markov Arbitrage-Free Valuation
55(1)
Early Exercise and Optimal Stopping
56(9)
Exercises
58(5)
Notes
63(2)
The Infinite-Horizon Setting
65(16)
Markov Dynamic Programming
65(4)
Dynamic Programming and Equilibrium
69(1)
Arbitrage and State Prices
70(1)
Optimality and State Prices
71(2)
Method-of-Moments Estimation
73(8)
Exercises
76(2)
Notes
78(3)
PART II CONTINUOUS-TIME MODELS 81(240)
The Black-Scholes Model
83(18)
Trading Gains for Brownian Prices
83(2)
Martingale Trading Gains
85(1)
Ito Prices and Gains
86(1)
Ito's Formula
87(1)
The Black-Scholes Option-Pricing Formula
88(2)
Black-Scholes Formula: First Try
90(2)
The PDE for Arbitrage-Free Prices
92(1)
The Feynman-Kac Solution
93(1)
The Multidimensional Case
94(7)
Exercises
97(3)
Notes
100(1)
State Prices and Equivalent Martingale Measures
101(34)
Arbitrage
101(1)
Numeraire Invariance
102(1)
State Prices and Doubling Strategies
103(3)
Expected Rates of Return
106(2)
Equivalent Martingale Measures
108(2)
State Prices and Martingale Measures
110(1)
Girsanov and Market Prices of Risk
111(4)
Black-Scholes Again
115(1)
Complete Markets
116(3)
Redundant Security Pricing
119(1)
Martingale Measures from No Arbitrage
120(3)
Arbitrage Pricing with Dividends
123(2)
Lumpy Dividends and Term Structures
125(2)
Martingale Measures, Infinite Horizon
127(8)
Exercises
128(3)
Notes
131(4)
Term-Structure Models
135(32)
The Term Structure
136(1)
One-Factor Term-Structure Models
137(2)
The Gaussian Single-Factor Models
139(2)
The Cox-Ingersoll-Ross Models
141(1)
The Affine Single-Factor Models
142(2)
Term-Structure Derivatives
144(2)
The Fundamental Solution
146(2)
Multifactor Models
148(1)
Affine Term-Structure Models
149(2)
The HJM Model of Forward Rates
151(3)
Markovian Yield Curves and SPDEs
154(13)
Exercises
155(6)
Notes
161(6)
Derivative Pricing
167(36)
Martingale Measures in a Black Box
167(2)
Forward Prices
169(2)
Futures and Continuous Resettlement
171(1)
Arbitrage-Free Futures Prices
172(2)
Stochastic Volatility
174(4)
Option Valuation by Transform Analysis
178(4)
American Security Valuation
182(4)
American Exercise Boundaries
186(3)
Lookback Options
189(14)
Exercises
191(5)
Notes
196(7)
Portfolio and Consumption Choice
203(32)
Stochastic Control
203(3)
Merton's Problem
206(3)
Solution to Merton's Problem
209(4)
The Infinite-Horizon Case
213(1)
The Martingale Formulation
214(3)
Martingale Solution
217(3)
A Generalization
220(1)
The Utility-Gradient Approach
221(14)
Exercises
224(8)
Notes
232(3)
Equilibrium
235(24)
The Primitives
235(1)
Security-Spot Market Equilibrium
236(1)
Arrow-Debreu Equilibrium
237(1)
Implementing Arrow-Debreu Equilibrium
238(2)
Real Security Prices
240(1)
Optimality with Additive Utility
241(2)
Equilibrium with Additive Utility
243(2)
The Consumption-Based CAPM
245(1)
The CIR Term Structure
246(3)
The CCAPM in Incomplete Markets
249(10)
Exercises
251(4)
Notes
255(4)
Corporate Securities
259(34)
The Black-Scholes-Merton Model
259(3)
Endogenous Default Timing
262(2)
Example: Brownian Dividend Growth
264(4)
Taxes and Bankruptcy Costs
268(1)
Endogenous Capital Structure
269(2)
Technology Choice
271(1)
Other Market Imperfections
272(2)
Intensity-Based Modeling of Default
274(3)
Risk-Neutral Intensity Process
277(1)
Zero-Recovery Bond Pricing
278(2)
Pricing with Recovery at Default
280(1)
Default-Adjusted Short Rate
281(12)
Exercises
282(6)
Notes
288(5)
Numerical Methods
293(28)
Central Limit Theorems
293(1)
Binomial to Black-Scholes
294(3)
Binomial Convergence for Unbounded Derivative Payoffs
297(1)
Discretization of Asset Price Processes
297(2)
Monte Carlo Simulation
299(1)
Efficient SDE Simulation
300(2)
Applying Feynman-Kac
302(1)
Finite-Difference Methods
302(4)
Term-Structure Example
306(3)
Finite-Difference Algorithms with Early Exercise Options
309(1)
The Numerical Solution of State Prices
310(3)
Numerical Solution of the Pricing Semi-Group
313(1)
Fitting the Initial Term Structure
314(7)
Exercises
316(1)
Notes
317(4)
APPENDIXES 321(52)
A Finite-State Probability
323(3)
B Separating Hyperplanes and Optimality
326(3)
CProbability
329(5)
D Stochastic Integration
334(6)
E SDE, PDE, and Feynman-Kac
340(7)
F Ito's Formula with Jumps
347(4)
G Utility Gradients
351(4)
H Ito's Formula for Complex Functions
355(2)
I Counting Processes
357(6)
J Finite-Difference Code
363(10)
Bibliography 373(72)
Symbol Glossary 445(2)
Author Index 447(10)
Subject Index 457

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