
- 632 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
The Econometrics of Financial Markets
About this book
A landmark book on quantitative methods in financial markets for graduate students and finance professionals
Recent decades have seen an extraordinary growth in the use of quantitative methods in financial markets. Finance professionals routinely use sophisticated statistical techniques in portfolio management, proprietary trading, risk management, financial consulting, and securities regulation. This graduate-level textbook is designed 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 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 learned into their own applications.
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Information
Table of contents
- Cover
- Half title
- Title
- Copyright
- Contents
- List of Figures
- List of Tables
- Preface
- 1 Introduction
- 2 The Predictability of Asset Returns
- 3 Market Microstructure
- 4 Event-Study Analysis
- 5 The Capital Asset Pricing Model
- 6 Multifactor Pricing Models
- 7 Present-Value Relations
- 8 Intertemporal Equilibrium Models
- 9 Derivative Pricing Models
- 10 Fixed-Income Securities
- 11 Term-Structure Models
- 12 Nonlinearities in Financial Data
- Appendix
- References
- Author Index
- Subject Index