04523nam a22004935i 4500 978-0-387-32348-0 DE-He213 20260521091900.0 cr nn 008mamaa 100301s2006 xxu| s |||| 0|eng d 9780387323480 99780387323480 10.1007/978-0-387-32348-0 doi CICY 330.015195 23 Zivot, Eric. author. Modeling Financial Time Series with S-PLUS® [recurso electrónico] / by Eric Zivot, Jiahui Wang. Second Edition. New York, NY : Springer New York, 2006. XXII, 998 p. 270 illus. online resource. text txt rdacontent computer c rdamedia recurso en línea cr rdacarrier text file PDF rda S and S-PLUS -- Time Series Specification, Manipulation, and Visualization in S-PLUS -- Time Series Concepts -- Unit Root Tests -- Modeling Extreme Values -- Time Series Regression Modeling -- Univariate GARCH Modeling -- Long Memory Time Series Modeling -- Rolling Analysis of Time Series -- Systems of Regression Equations -- Vector Autoregressive Models for Multivariate Time Series -- Cointegration -- Multivariate GARCH Modeling -- State Space Models -- Factor Models for Asset Returns -- Term Structure of Interest Rates -- Robust Change Detection -- Nonlinear Time Series Models -- Copulas -- Continuous-Time Models for Financial Time Series -- Generalized Method of Moments -- Seminonparametric Conditional Density Models -- Effcient Method of Moments. 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 a Principal and Trading Research Officer at Barclays Global Investors. 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. STATISTICS. FINANCE. MATHEMATICAL STATISTICS. ECONOMICS STATISTICS. ECONOMETRICS. STATISTICS. STATISTICS FOR BUSINESS/ECONOMICS/MATHEMATICAL FINANCE/INSURANCE. STATISTICS AND COMPUTING/STATISTICS PROGRAMS. ECONOMETRICS. QUANTITATIVE FINANCE. Wang, Jiahui. author. SpringerLink (Online service) Springer eBooks Printed edition: 9780387279657 http://dx.doi.org/10.1007/978-0-387-32348-0 Ver el texto completo en las instalaciones del CICY ddc ER 33115 33115 0 0 ddc 0 0 LE CICY CICY EL 2025-07-10 0 330.015195 2025-07-10 08:39:49 2025-07-10 ER