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Titlebook: Empirical Studies on Volatility in International Stock Markets; Eugenie M. J. H. Hol Book 2003 Springer Science+Business Media Dordrecht 2

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发表于 2025-3-21 19:41:13 | 显示全部楼层 |阅读模式
书目名称Empirical Studies on Volatility in International Stock Markets
编辑Eugenie M. J. H. Hol
视频video
丛书名称Dynamic Modeling and Econometrics in Economics and Finance
图书封面Titlebook: Empirical Studies on Volatility in International Stock Markets;  Eugenie M. J. H. Hol Book 2003 Springer Science+Business Media Dordrecht 2
描述.Empirical Studies on Volatility in International Stock Markets. describes the existing techniques for the measurement and estimation of volatility in international stock markets with emphasis on the SV model and its empirical application. Eugenie Hol develops various extensions of the SV model, which allow for additional variables in both the mean and the variance equation. In addition, the forecasting performance of SV models is compared not only to that of the well-established GARCH model but also to implied volatility and so-called realised volatility models which are based on intraday volatility measures. .The intended readers are financial professionals who seek to obtain more accurate volatility forecasts and wish to gain insight about state-of-the-art volatility modelling techniques and their empirical value, and academic researchers and students who are interested in financial market volatility and want to obtain an updated overview of the various methods available in this area.
出版日期Book 2003
关键词GARCH; Option Pricing; Portfolio; Volatility; decision making; development; hedging; modeling; value at risk
版次1
doihttps://doi.org/10.1007/978-1-4757-5129-1
isbn_softcover978-1-4419-5375-9
isbn_ebook978-1-4757-5129-1Series ISSN 1566-0419 Series E-ISSN 2363-8370
issn_series 1566-0419
copyrightSpringer Science+Business Media Dordrecht 2003
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发表于 2025-3-21 23:41:35 | 显示全部楼层
1566-0419 nsight about state-of-the-art volatility modelling techniques and their empirical value, and academic researchers and students who are interested in financial market volatility and want to obtain an updated overview of the various methods available in this area.978-1-4419-5375-9978-1-4757-5129-1Series ISSN 1566-0419 Series E-ISSN 2363-8370
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D. P. Jones,J. Jäckle,W. A. Phillipsinput parameter is many derivatives pricing models. The issue of accurate volatility forecasts is therefore firmly positioned at the centre of financial decision making. Unfortunately, it is notoriously difficult to predict volatility accurately and the problem is exacerbated by the fact that realis
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Asset Return Volatility Models,atility estimates. On the other hand, it also implies that extreme shocks to the return process that took place a relatively long time ago, and which contain little information about the current volatility level, will still have a major impact since all observations in the sample are weighted equall
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