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9780691043012

The Econometrics of Financial Markets

by
  • ISBN13:

    9780691043012

  • ISBN10:

    0691043019

  • Format: Hardcover
  • Copyright: 1996-12-09
  • Publisher: Princeton Univ Pr

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Summary

The past twenty years have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals now routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is intended for PhD students, advanced MBA students, and industry professionals interested in the econometrics of financial modeling. The book covers the entire spectrum of empirical finance, including: the predictability of asset returns, tests of the Random Walk Hypothesis, the microstructure of securities markets, event analysis, the Capital Asset Pricing Model and the Arbitrage Pricing Theory, the term structure of interest rates, dynamic models of economic equilibrium, and nonlinear financial models such as ARCH, neural networks, statistical fractals, and chaos theory. Each chapter develops statistical techniques within the context of a particular financial application. This exciting new text contains a unique and accessible combination of theory and practice, bringing state-of-the-art statistical techniques to the forefront of financial applications. Each chapter also includes a discussion of recent empirical evidence, for example, the rejection of the Random Walk Hypothesis, as well as problems designed to help readers incorporate what they have read into their own applications. Professors: A supplementary Solutions Manual is available for this book. It is restricted to teachers using the text in courses. For information on how to obtain a copy, refer to: http://pup.princeton.edu/solutions.html

Table of Contents

List of Figures
xiii
List of Tables
xv
Preface xvii
Introduction
3(24)
Organization of the Book
4(2)
Useful Background
6(2)
Mathematics Background
6(1)
Probability and Statistics Background
6(1)
Finance Theory Background
7(1)
Notation
8(1)
Prices, Returns, and Compounding
9(11)
Definitions and Conventions
9(4)
The Marginal, Conditional, and Joint Distribution of Returns
13(7)
Market Efficiency
20(7)
Efficient Markets and the Law of Iterated Expectations
22(2)
Is Market Efficiency Testable?
24(3)
The Predictability of Asset Returns
27(56)
The Random Walk Hypotheses
28(5)
The Random Walk 1: IID Increments
31(1)
The Random Walk 2: Independent Increments
32(1)
The Random Walk 3: Uncorrelated Increments
33(1)
Tests of Random Walk 1: IID Increments
33(8)
Traditional Statistical Tests
33(1)
Sequences and Reversals, and Runs
34(7)
Tests of Random Walk 2: Independent Increments
41(3)
Filter Rules
42(1)
Technical Analysis
43(1)
Tests of Random Walk 3: Uncorrelated Increments
44(11)
Autocorrelation Coefficients
44(3)
Portmanteau Statistics
47(1)
Variance Ratios
48(7)
Long Horizon Returns
55(4)
Problems with Long-Horizon Inferences
57(2)
Tests For Long-Range Dependence
59(5)
Examples of Long-Range Dependence
59(3)
The Hurst-Mandelbrot Rescaled Range Statistic
62(2)
Unit Root Tests
64(1)
Recent Empirical Evidence
65(15)
Autocorretations
66(2)
Variance Ratios
68(6)
Cross-Autocorrelations and Lead-Lag Relations
74(4)
Tests Using Long-Horizon Returns
78(2)
Conclusion
80(3)
Market Microstructure
83(66)
Nonsynchronous Trading
84(15)
A Model of Nonsynchronous Trading
85(13)
Extensions and Generalizations
98(1)
The Bid-Ask Spread
99(8)
Bid-Ask Bounce
101(2)
Components of the Bid-Ask Spread
103(4)
Modeling Transactions Data
107(21)
Motivation
108(6)
Rounding and Barrier Models
114(8)
The Ordered Probit Model
122(6)
Recent Empirical Findings
128(16)
Nonsynchronous Trading
128(6)
Estimating the Effective Bid-Ask Spread
134(2)
Transactions Data
136(8)
Conclusion
144(5)
Event-Study Analysis
149(32)
Outline of an Event Study
150(2)
An Example of an Event Study
152(1)
Models for Measuring Normal Performance
153(4)
Constant-Mean-Return Model
154(1)
Market Model
155(1)
Other Statistical Models
155(1)
Economic Models
156(1)
Measuring and Analyzing Abnormal Returns
157(10)
Estimation of the Market Model
158(1)
Statistical Properties of Abnormal Returns
159(1)
Aggregation of Abnormal Returns
160(2)
Sensitivity to Normal Return Model
162(1)
CARs for the Earnings-Announcement Example
163(3)
Inferences with Clustering
166(1)
Modifying the Null Hypothesis
167(1)
Analysis of Power
168(4)
Nonparametric Tests
172(1)
Cross-Sectional Models
173(2)
Further Issues
175(3)
Role of the Sampling Interval
175(1)
Inferences with Event-Date Uncertainty
176(1)
Possible Biases
177(1)
Conclusion
178(3)
Capital Asset Pricing Model
181(38)
Review of the CAPM
181(3)
Results from Efficient-Set Mathematics
184(4)
Statistical Framework for Estimation and Testing
188(15)
Sharpe-Lintner Version
189(7)
Black Version
196(7)
Size of Tests
203(1)
Power of Tests
204(4)
Nonnormal and Non-IID Returns
208(3)
Implementation of Tests
211(4)
Summary of Empirical Evidence
211(1)
Illustrative Implementation
212(1)
Unobservability of the Market Portfolio
213(2)
Cross-Sectional Regressions
215(2)
Conclusion
217(2)
Multifactor Pricing Models
219(34)
Theoretical Background
219(3)
Estimation and Testing
222(9)
Portfolios as Factors with a Riskfree Asset
223(1)
Portfolios as Factors without a Riskfree Asset
224(2)
Macroeconomic Variables as Factors
226(2)
Factor Portfolios Spanning the Mean-Variance Frontier
228(3)
Estimation of Risk Premia and Expected Returns
231(2)
Selection of Factors
233(7)
Statistical Approaches
233(5)
Number of Factors
238(1)
Theoretical Approaches
239(1)
Empirical Results
240(2)
Interpreting Deviations from Exact Factor Pricing
242(9)
Exact Factor Pricing Models, Mean-Variance Analysis, and the Optimal Orthogonal Portfolio
243(2)
Squared Sharpe Ratios
245(1)
Implications for Separating Alternative Theories
246(5)
Conclusion
251(2)
Present Value Relations
253(38)
The Relation between Prices, Dividends, and Returns
254(13)
The Linear Present Value Relation with Constant Expected Returns
255(3)
Rational Bubbles
258(2)
An Approximate Present-Value Relation with Time-Varying Expected Returns
260(4)
Prices and Returns in a Simple Example
264(3)
Present Value Relations and US Stock Price Behavior
267(19)
Long-Horizon Regressions
267(8)
Volatility Tests
275(4)
Vector Autoregressive Methods
279(7)
Conclusion
286(5)
Intertemporal Equilibrium Models
291(48)
The Stochastic Discount Factor
293(11)
Volatility Bounds
296(8)
Consumption-Based Asset Pricing with Power Utility
304(10)
Power Utility in a Lognormal Model
306(8)
Power Utility and Generalized Method of Moments
314(1)
Market Frictions
314(12)
Market Frictions and Hansen-Jagannathan Bounds
315(1)
Market Frictions and Aggregate Consumption Data
316(10)
More General Utility Functions
326(8)
Habit Formation
326(6)
Psychological Models of Preferences
332(2)
Conclusion
334(5)
Derivative pricing Models
339(56)
Brownian Motion
341(8)
Constructing Brownian Motion
341(5)
Stochastic Differential Equations
346(3)
A Brief Review of Derivative Pricing Methods
349(6)
The Black-Scholes and Merton Approach
350(4)
The Martingale Approach
354(1)
Implementing Parametric Option Pricing Models
355(27)
Parameter Estimation of Asset Price Dynamics
356(5)
Estimating Q in the Black-Scholes Model
361(6)
Quantifying the Precision of Option Price Estimators
367(2)
The Effects of Asset Return Predictability
369(8)
Implied Volatility Estimators
377(2)
Stochastic Volatility Models
379(3)
Pricing Path-Dependent Derivatives Via Monte Carlo Simulation
382(9)
Discrete Versus Continuous Time
383(1)
How Many Simulations to Perform
384(1)
Comparisons with a Closed-Form Solution
384(2)
Computational Efficiency
386(4)
Extensions and Limitations
390(1)
Conclusion
391(4)
Fixed-Income Securities
395(32)
Basic Concepts
396(17)
Discount Bonds
397(4)
Coupon Bonds
401(8)
Estimating the Zero-Coupon Term Structure
409(4)
Interpreting the Term Structure of Interest Rates
413(10)
The Expectations Hypothesis
413(5)
Yield Spreads and Interest Rate Forecasts
418(5)
Conclusion
423(4)
Term-Structure Models
427(40)
Affine-Yield Models
428(14)
A Homoskedastic Single-Factor Model
429(6)
A Square-Root Single-Factor Model
435(3)
A Two-Factor Model
438(3)
Beyond Affine-Yield Models
441(1)
Fitting Term-Structure Models to the Data
442(13)
Real Bonds, Nominal Bonds, and Inflation
442(3)
Empirical Evidence on Affine-Yield Models
445(10)
Pricing Fixed-Income Derivative Securities
455(9)
Fitting the Current Term Structure Exactly
456(2)
Forwards and Futures
458(3)
Option Pricing in a Term-Structure Model
461(3)
Conclusion
464(3)
Nonlinearities in Financial Data
467(60)
Nonlinear Structure in Univariate Time Series
468(11)
Some Parametric Models
470(5)
Univariate Tests for Nonlinear Structure
475(4)
Models of Changing Volatility
479(15)
Univariate Models
481(9)
Multivariate Models
490(4)
Links between First and Second Moments
494(1)
Nonparametric Estimation
494(18)
Kernel Regression
500(2)
Optimal Bandwidth Selection
502(2)
Average Derivative Estimators
504(3)
Application: Estimating State-Price Densities
507(5)
Artificial Neural Networks
512(11)
Multilayer Perceptrons
512(4)
Radial Basis Functions
516(2)
Projection Pursuit Regression
518(1)
Limitations of Learning Networks
518(1)
Application: Learning the Black-Scholes Formula
519(4)
Overfitting and Data-Snooping
523(1)
Conclusion
524(3)
Appendix 527(14)
A.1 Linear Instrumental Variables
527(5)
A.2 Generalized Method of Moments
532(2)
A.3 Serially Correlated and Heteroskedastic Errors
534(2)
A.4 GMM and Maximum Likelihood
536(5)
References 541(46)
Author Index 587(10)
Subject Index 597

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

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