Econometric modelling of stock market intraday activity
著者
書誌事項
Econometric modelling of stock market intraday activity
（Advanced studies in theoretical and applied econometrics, v. 38）
Kluwer Academic, c2001
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注記
Bibliography: p. 161-172
Includes index
内容説明・目次
内容説明
Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.
目次
Acknowledgments. Introduction. 1. Market Microstructure, Trading Mechanisms and Exchanges. 2. NYSE TAQ Database and Financial Durations. 3. Intraday Duration Models. 4. Empirical Results and Extensions. 5. Intraday Volatility and Value-At-Risk. About the Authors. Index.
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