Financial Econometrics 2nd edition
Price: $190.00
Add to Cart- ISBN: 978-0-415-42670-1
- Binding: Hardback (also available in Paperback)
- Published by: Routledge
- Publication Date: 9th September 2008 (Available for Pre-order)
- Pages: 320
About the Book
This book provides an essential toolkit for all students wishing to know more about the modelling of financial time series. Econometric techniques are becoming increasingly common in the world of finance and this second edition of an established text covers the following key themes:
- unit roots, cointegration and other developments in the study of time series models
- time varying volatility models of the GARCH type and the stochastic volatility approach
- analysis of stock persistence and impulse responses
- Markov switching
- present value relations and data characteristics.
This updated edition includes new chapters which cover limited dependent variables and panel data. It continues to be an essential guide for all graduate and advanced undergraduate students of econometrics and finance.
Table of Contents
1. Stochastic Processes and Financial Data Generating Processes 2. Commonly Applied Statistical Distributions and their Relevance 3. Overview of Estimation Methods 4. Unit Roots, Cointegration and other Comovements in Time Series 5. Time-Varying Volatility Models: GARCH and Stochastic Volatility 6. Shock Persistence and Impulse Response Analysis 7. Modelling Regime Shifts: Markov Switching Models 8. Present Value Models and Tests for Rationality and Market Efficiency 9. State Space Models and the Kalman Filter 10. Frequency Domain Analysis of Time Series 11. Limited Dependent Variables and Discrete Choice Models 12. Limited Dependent Variables and Truncated and Censored Samples 13. Panel Data Analysis 14. Research Tools and Sources of Information
About the Author(s)
Peijie Wang is professor of finance at IÉSEG School of Management, Catholic University of Lille. He is author of An Econometric Analysis of the Real Estate Market (Routledge 2001) and The Economics of Foreign Exchange and Global Finance.