Peijie Wang

Financial Econometrics

• Broschiertes Buch

Produktbeschreibung

This book provides an essential toolkit for all students wishing to know more about the modelling and analysis of financial data. Applications of 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 shock persistence and impulse responses - Markov switching and Kalman filtering - spectral analysis - present value relations and rationality - discrete choice models - analysis of truncated and censored samples - panel data analysis. 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.

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Produktdetails

• Verlag: Routledge
• 2nd edition
• Seitenzahl: 338
• Erscheinungstermin: 19. September 2008
• Englisch
• Abmessung: 234mm x 156mm x 18mm
• Gewicht: 515g
• ISBN-13: 9780415426695
• ISBN-10: 0415426693
• Artikelnr.: 23549048

Autorenporträt

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.

Inhaltsangabe

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