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Titlebook: Statistics of Financial Markets; An Introduction Jürgen Franke,Wolfgang Karl H?rdle,Christian Matth Textbook 20154th edition Springer-Verla

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發(fā)表于 2025-3-21 16:15:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Statistics of Financial Markets
副標題An Introduction
編輯Jürgen Franke,Wolfgang Karl H?rdle,Christian Matth
視頻videohttp://file.papertrans.cn/877/876766/876766.mp4
概述Revised edition presenting actualized research in financial statistics and econometrics.Offers an introduction to the growing field of statistical applications in finance.Includes option pricing, anal
叢書名稱Universitext
圖書封面Titlebook: Statistics of Financial Markets; An Introduction Jürgen Franke,Wolfgang Karl H?rdle,Christian Matth Textbook 20154th edition Springer-Verla
描述.Now in its fourth edition, this book offers a detailed yet concise introduction to the growing field of statistical applications in finance. The reader will learn the basic methods of evaluating option contracts, analyzing financial time series, selecting portfolios and managing risks based on realistic assumptions about market behavior. The focus is both on the fundamentals of mathematical finance and financial time series analysis, and on applications to given problems concerning financial markets, thus making the book the ideal basis for lectures, seminars and crash courses on the topic..For this new edition the book has been updated and extensively revised and now includes several new aspects, e.g. new chapters on long memory models, copulae and CDO valuation. Practical exercises with solutions have also been added. Both R and Matlab Code, together with the data, can be downloaded from the book’s product page and www.quantlet.de.
出版日期Textbook 20154th edition
關鍵詞ARIMA; Copulae; Credit Risk; Discrete Time Dynamics; Exotic Options; Financial Time Series; Neural Network
版次4
doihttps://doi.org/10.1007/978-3-642-54539-9
isbn_ebook978-3-642-54539-9Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag GmbH Germany, part of Springer Nature 2015
The information of publication is updating

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發(fā)表于 2025-3-21 22:21:38 | 只看該作者
https://doi.org/10.1007/978-3-642-54539-9ARIMA; Copulae; Credit Risk; Discrete Time Dynamics; Exotic Options; Financial Time Series; Neural Network
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Non-parametric and Flexible Time Series EstimatorsWith the analysis of (financial) time series, one of the most important goals is to produce forecasts. Using past data one can argue about the future mean, the future volatility, and so on, however a flexible method of producing such estimates will be introduced in this chapter.
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Value-at-Risk and BacktestingThe Value-at-Risk (VaR) is probably the most known measure for quantifying and controlling the risk of a portfolio. The establishment of VaR is of central importance to a credit institute, since it is the basis for a regulatory notification technique and for required equity investments.
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Springer-Verlag GmbH Germany, part of Springer Nature 2015
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