The field of financial econometrics has exploded over the last decade This book
represents an integration of theory, methods, and examples using the S-PLUS statistical
modeling language and the S+FinMetrics module to facilitate the practice of financial
econometrics. This is the first book to show the power of S-PLUS for the analysis of time
series data. It is written for researchers and practitioners in the finance industry,
academic researchers in economics and finance, and advanced MBA and graduate students in
economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid
grounding in basic statistics and time series concepts.
This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on
copulas, nonlinear regime switching models, continuous-time financial models, generalized
method of moments, semi-nonparametric conditional density models, and the efficient method
of moments.
Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the
Economics Department, and adjunct associate professor of finance in the Business School at
the University of Washington. He regularly teaches courses on econometric theory,
financial econometrics and time series econometrics, and is the recipient of the Henry T.
Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear
Dynamics and Econometrics. He has published papers in the leading econometrics journals,
including Econometrica, Econometric Theory, the Journal of Business and Economic
Statistics, Journal of Econometrics, and the Review of Economics and Statistics.
Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the
University of Washington in 1997. He has published in leading econometrics journals such
as Econometrica and Journal of Business and Economic Statistics, and is the Principal
Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as
one of the "2000 Outstanding Scholars of the 21st Century" by International
Biographical Centre.
Contents
Preface
1 S and S-PLUS 1
2 Time Series Speci.cation, Manipulation,
3 Time Series Concepts
4 UnitRootTests
5 Modeling Extreme Values
6 Time Series Regression Modeling
7 Univariate GARCH Modeling
8 Long Memory Time Series Modeling
9 Rolling Analysis of Time Series
10 Systems of Regression Equations
11 Vector Autoregressive Models for Multivariate Time Series
12 Cointegration
13 Multivariate GARCH Modeling
14 State Space Models
15 Factor Models for Asset Returns
16 Term Structure of Interest Rates
17 Robust Change Detection
18 Nonlinear Time Series Models
19 Copulas
20 Continuous-Time Models for Financial Time Series
21 Generalized Method of Moments
22 Seminonparametric Conditional Density Models
Index
1002 pages 270 illus., Softcover
Written for: Researchers, graduate students