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

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书目名称Statistics of Financial Markets
副标题An Introduction
编辑Jürgen Franke,Wolfgang Karl Härdle,Christian Matth
视频video
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
丛书名称Universitext
图书封面Titlebook: Statistics of Financial Markets; An Introduction Jürgen Franke,Wolfgang Karl Härdle,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
关键词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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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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