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Titlebook: Computational Methods in Financial Engineering; Essays in Honour of Erricos J. Kontoghiorghes,Ber? Rustem,Peter Winker Book 2008 Springer-

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發(fā)表于 2025-3-21 17:34:09 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computational Methods in Financial Engineering
副標(biāo)題Essays in Honour of
編輯Erricos J. Kontoghiorghes,Ber? Rustem,Peter Winker
視頻videohttp://file.papertrans.cn/233/232767/232767.mp4
概述Includes supplementary material:
圖書封面Titlebook: Computational Methods in Financial Engineering; Essays in Honour of  Erricos J. Kontoghiorghes,Ber? Rustem,Peter Winker Book 2008 Springer-
描述Computational models and methods are central to the analysis of economic and financial decisions. Simulation and optimisation are widely used as tools of analysis, modelling and testing. The focus of this book is the development of computational methods and analytical models in financial engineering that rely on computation. The book contains eighteen chapters written by leading researchers in the area on portfolio optimization and option pricing; estimation and classification; banking; risk and macroeconomic modelling. It explores and brings together current research tools and will be of interest to researchers, analysts and practitioners in policy and investment decisions in economics and finance.
出版日期Book 2008
關(guān)鍵詞Euro; Finance; Financial Engineering; Investment; Modelling of Financial Networks; Option Pricing; Portfol
版次1
doihttps://doi.org/10.1007/978-3-540-77958-2
isbn_softcover978-3-642-09677-8
isbn_ebook978-3-540-77958-2
copyrightSpringer-Verlag Berlin Heidelberg 2008
The information of publication is updating

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Risk Preferences and Loss Aversion in Portfolio Optimizationtors’ preferences are commonly assumed to follow a quadratic or power utility function, and asset returns are often assumed to follow a Gaussian distribution. Investment analysis has therefore long been focusing on the first two moments of the distribution, mean and variance. However, empirical asse
板凳
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Generalized Extreme Value Distribution and Extreme Economic Value at Risk (EE-VaR) measure of risk than historically based VaR. As industry practice requires VaR at high confidence level of 99%, Extreme Economic Value at Risk (EE-VaR) based on the Generalized Extreme Value (GEV) distribution has been proposed as a new risk measure. This follows from a GEV option pricing model dev
地板
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Portfolio Optimization under VaR Constraints Based on Dynamic Estimates of the Variance-Covariance Meliable estimations are difficult to perform and using the VaR as a constraint in portfolio optimization causes computational problems. Both problems are taken into account in the present application. First, the VaR based on estimates of the conditional covariance matrix with the ”Principal Componen
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Optimal Execution of Time-Constrained Portfolio Transactionsoblem is solved approximately through a succession of quadratic programs. The ensuing strategies are then tested on real data. The model extends a recent one by accounting for liquidity differences between stocks.
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發(fā)表于 2025-3-22 14:45:50 | 只看該作者
Semidefinite Programming Approaches for Bounding Asian Option Pricesing the moments of the distribution of prices is developed which enables the method of Bertsimas and Popescu to be extended for the case of the Asian option. In particular, several SDP formulations for upper and lower bounds of the price of an Asian option are given based on different representation
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發(fā)表于 2025-3-22 17:38:20 | 只看該作者
The Evaluation of Discrete Barrier Options in a Path Integral Frameworks. A path integral approach to the evaluation of barrier options is developed. This leads to a backward recursion functional equation linking the pricing functions at successive barrier points. This functional equation is solved by expanding the pricing functions in Fourier-Hermite series. The backw
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Testing Uncovered Interest Rate Parity and Term Structure Using Multivariate Threshold Cointegrationerest rates and uncovered interest rate parity (UIRP) for U.S. and Swiss rates. Tests for no cointegration, for the number of cointegrating relations and for the presence of threshold effects are discussed within the framework of this TVECM with more than one cointegrating relationship, allowing for
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