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Titlebook: Hidden Markov Models in Finance; Rogemar S. Mamon,Robert J. Elliott Book 2007 Springer-Verlag US 2007 Finance.Markov.Markov chain.Markov m

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發(fā)表于 2025-3-21 17:32:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hidden Markov Models in Finance
編輯Rogemar S. Mamon,Robert J. Elliott
視頻videohttp://file.papertrans.cn/427/426111/426111.mp4
概述Robert J. Elliott is a distinguished research professor who has developed the area of Hidden Markov Models and Rogemar Mamon is a young researcher who is focusing his research efforts in this area. Ro
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Hidden Markov Models in Finance;  Rogemar S. Mamon,Robert J. Elliott Book 2007 Springer-Verlag US 2007 Finance.Markov.Markov chain.Markov m
描述.A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today‘s globalized markets. .Hidden Markov Models in Finance. by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises. This book provides researchers and practitioners with analyses that allow them to sort through the random "noise" of financial markets (i.e., turbulence, volatility, emotion, chaotic events, etc.) and analyze the fundamental components of economic markets. Hence, .Hidden Markov Models in Finance. provides decision makers with a clear, accurate picture of core financial components by filtering out the random noise in financial markets...?.
出版日期Book 2007
關(guān)鍵詞Finance; Markov; Markov chain; Markov model; Markov models; Variance; credit risk modeling; early warning s
版次1
doihttps://doi.org/10.1007/0-387-71163-5
isbn_softcover978-1-4419-4380-4
isbn_ebook978-0-387-71163-8Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer-Verlag US 2007
The information of publication is updating

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On Fair Valuation of Participating Life Insurance Policies With Regime Switching,) when the market values of the reference asset are driven by a Markov-modulated geometric Brownian motion (GBM). We employ the Markov-modulated GBM driven by a continuous-time hidden Markov chain model to describe the impact of the switching behavior of the states of economy on the price dynamics o
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Expected Shortfall Under a Model With Market and Credit Risks,ch find that VaR is not a coherent risk measure and cannot incorporate the loss beyond VaR or tail risk. This chapter considers expected shortfall (ES) as an alternative risk measure. We consider a portfolio subject to both market and credit risks. We model the credit rating using a Markov chain. Th
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An empirical investigation of the unbiased forward exchange rate hypothesis in a regime switching mrkov chain in discrete time. A description of the foreign exchange market and of its stylised features is given. Finally, unbiased forward exchange rate hypothesis (UFER) is tested in the context of the US-dollar/UK-pound spot and forward exchange rates.
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e of the past 80 years. No government in Russia could ignore Zionism, since it emerged a century ago as a major ideological and political force among a Jewish population that was then the largest in the world, and which remains today the world’s third largest Jewish community.
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