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Financial Econometrics: Problems, Models, and Methods / Edition 1
     

Financial Econometrics: Problems, Models, and Methods / Edition 1

by Christian Gourieroux, Joann Jasiak
 

ISBN-10: 0691088721

ISBN-13: 9780691088723

Pub. Date: 11/19/2001

Publisher: Princeton University Press

Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modeling, to address rigorous economic problems. Its development within the world of finance is quite recent and has been paralleled by a fast expansion of financial markets and an increasing variety and

Overview

Financial econometrics is a great success story in economics. Econometrics uses data and statistical inference methods, together with structural and descriptive modeling, to address rigorous economic problems. Its development within the world of finance is quite recent and has been paralleled by a fast expansion of financial markets and an increasing variety and complexity of financial products. This has fueled the demand for people with advanced econometrics skills.

For professionals and advanced graduate students pursuing greater expertise in econometric modeling, this is a superb guide to the field's frontier. With the goal of providing information that is absolutely up-to-date—essential in today's rapidly evolving financial environment—Gourieroux and Jasiak focus on methods related to foregoing research and those modeling techniques that seem relevant to future advances. They present a balanced synthesis of financial theory and statistical methodology. Recognizing that any model is necessarily a simplified image of reality and that econometric methods must be adapted and applied on a case-by-case basis, the authors employ a wide variety of data sampled at frequencies ranging from intraday to monthly. These data comprise time series representing both the European and North American markets for stocks, bonds, and foreign currencies. Practitioners are encouraged to keep a critical eye and are armed with graphical diagnostics to eradicate misspecification errors.

This authoritative, state-of-the-art reference text is ideal for upper-level graduate students, researchers, and professionals seeking to update their skills and gain greater facility in using econometric models. All will benefit from the emphasis on practical aspects of financial modeling and statistical inference. Doctoral candidates will appreciate the inclusion of detailed mathematical derivations of the deeper results as well as the more advanced problems concerning high-frequency data and risk control. By establishing a link between practical questions and the answers provided by financial and statistical theory, the book also addresses the needs of applied researchers employed by financial institutions.

Product Details

ISBN-13:
9780691088723
Publisher:
Princeton University Press
Publication date:
11/19/2001
Series:
Princeton Series in Finance Series
Edition description:
New Edition
Pages:
464
Product dimensions:
6.45(w) x 9.52(h) x 1.44(d)

Table of Contents

Preface vii

1. Introcduction 1

2. Univariate Linear Models: The AR(1) process and Its Extensions 17

3. Multivariate Linear Models: VARMA Representation 53

4. Simultaneity, Recursivty, and Casuality Analysis 81

5. Persistence and Cointegration 105

6. Conditional Heteroscedasticity: Nonlinear Autoaggressive Models, ARCH Models, Stochastic Volatility Models 117

7. Expection and Present Value Models 151

8. Intertemporal Behavior and the Method of Moments 173

9. Dynamic Factor Models 195

10. Dynamic Qualitative Proceses 219

11. Diffusion Models 241

12. Estimation of Diffusion Models 285

13. Econometrics of Derivatives 317

14. Dynamic Models for High-Freguency data 351

15. Market Indexes 247

16. Management of Extreme Risks 427

References 451

Index 477

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