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Titlebook: Handbook of Computational and Numerical Methods in Finance; Svetlozar T. Rachev Book 2004 Birkh?ser Boston 2004 Probability theory.algorit

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發(fā)表于 2025-3-21 19:58:17 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Handbook of Computational and Numerical Methods in Finance
編輯Svetlozar T. Rachev
視頻videohttp://file.papertrans.cn/422/421079/421079.mp4
概述Presents current research and survey articles focusing on various computational and numerical methods in finance.Designed for the academic community and will also serve professional investors
圖書封面Titlebook: Handbook of Computational and Numerical Methods in Finance;  Svetlozar T. Rachev Book 2004 Birkh?ser Boston 2004 Probability theory.algorit
描述Numerical Methods in Finance have recently emerged as a new discipline at the intersection of probability theory, finance and numerical analysis. They bridge the gap between financial theory and computational practice and provide solutions to problems where analytical methods are often non-applicable. Numerical methods are more and more used in several topics of financial analy- sis: computation of complex derivatives; market, credit and operational risk assess- ment, asset liability management, optimal portfolio theory, financial econometrics and others. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research focusing on various numerical methods in finance. The contributions cover methodological issues. Genetic Algorithms, Neural Net- works, Monte-Carlo methods, Finite Difference Methods, Stochastic Portfolio Opti- mization as well as the application of other numerical methods in finance and risk management. As editor, I am grateful to the contributors for their fruitful collaboration. I would particularly like to thankStefan Trueck and Carl
出版日期Book 2004
關(guān)鍵詞Probability theory; algorithms; calculus; ksa; numerical analysis; optimization; quantitative finance
版次1
doihttps://doi.org/10.1007/978-0-8176-8180-7
isbn_softcover978-1-4612-6476-7
isbn_ebook978-0-8176-8180-7
copyrightBirkh?ser Boston 2004
The information of publication is updating

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發(fā)表于 2025-3-21 23:50:17 | 只看該作者
https://doi.org/10.1057/9781137482877lly, when asset prices are log-stable distributed, we propose a numerical valuation of option prices and we describe and compare delta hedging strategies when asset prices are either log-stable distributed or log-normal distributed.
板凳
發(fā)表于 2025-3-22 04:15:08 | 只看該作者
https://doi.org/10.1007/978-3-319-54789-3ical approximation algorithms for such problems. Over the last years many interesting ideas for heuristic approaches were developed and tested for financial decision-making. We present an overview of the relevant methodology, and, some applications that show interesting results for selected problems in finance.
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Optimal Portfolio Selection and Risk Management: A Comparison between the Stable Paretian Approach lly, when asset prices are log-stable distributed, we propose a numerical valuation of option prices and we describe and compare delta hedging strategies when asset prices are either log-stable distributed or log-normal distributed.
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https://doi.org/10.1007/978-3-322-81696-2 quantization approach with four numerical applications arising in finance: European option pricing, optimal stopping problems and American option pricing, stochastic control problems and mean-variance hedging of options and filtering in stochastic volatility models.
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