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Titlebook: Operations Research Models in Quantitative Finance; Proceedings of the X Rita L. D’Ecclesia,Stavros A. Zenios Conference proceedings 1994 P

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書目名稱Operations Research Models in Quantitative Finance
副標題Proceedings of the X
編輯Rita L. D’Ecclesia,Stavros A. Zenios
視頻videohttp://file.papertrans.cn/703/702099/702099.mp4
叢書名稱Contributions to Management Science
圖書封面Titlebook: Operations Research Models in Quantitative Finance; Proceedings of the X Rita L. D’Ecclesia,Stavros A. Zenios Conference proceedings 1994 P
描述The articles included in the volume cover a range of diverse topics linked by a common theme: the use of formal modelling techniques to promote better understanding of financial markets and improve management of financial operations..Apart from a theoretical discussion, most of the papers model validation or verification using market data. This collection of articles sets the framework for other studies that could link theory and practice.
出版日期Conference proceedings 1994
關鍵詞Finance; Finanzierungstheorie; Investment; Operations Research; Option Pricing; Optionspreistheorie; Portf
版次1
doihttps://doi.org/10.1007/978-3-642-46957-2
isbn_softcover978-3-7908-0803-2
isbn_ebook978-3-642-46957-2Series ISSN 1431-1941 Series E-ISSN 2197-716X
issn_series 1431-1941
copyrightPhysica-Verlag Heidelberg 1994
The information of publication is updating

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Financial Regulation and Multi-tier Financial Intermediation Systemsiers are characterised by distinct financial products specialization and by different deposit guaranty systems. The resulting system is very robust and minimizes the possible financial burden on the tax payer: it may perfectly fit to the needs of transitional socialist economies, which are character
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Stochastic Programming Models for Portfolio Optimization with Mortgage Backed Securities: Comprehensy. The specific problem is to fund a known liability with a portfolio of mortgage-backed securities in an uncertain interest-rate environment, but the approach considered extends easily to include other fixed-income investments and other types of uncertainty. The mathematical models are multi-stage
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Stock Returns: An Analysis of the Italian Market with GARCH Modelsuch volatility changes, models with heteroscedastic conditional variance, known as ARCH and GARCH models, have been introduced. In this paper four Italian Stock Market series are analyzed: the excess returns of the COMIT index and three different stock excess returns of leading companies in differen
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Mean Reversion at The Dutch Stock Exchange?fferent return horizons are confronted with simulated probability distributions. Three different simulation procedures are used: randomization, bootstrap and drawings from a random walk process..The empirical results show significant mean aversion in monthly stock returns. This indicates that during
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