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Titlebook: Discrete Time Series, Processes, and Applications in Finance; Gilles Zumbach Book 2013 Springer-Verlag Berlin Heidelberg 2013 91B84, 91B70

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發(fā)表于 2025-3-21 16:30:36 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Discrete Time Series, Processes, and Applications in Finance
編輯Gilles Zumbach
視頻videohttp://file.papertrans.cn/282/281172/281172.mp4
概述The volume discusses and works on several practical implication and gives a synthesis of the field.Important applications of the discrete ARCH framework are presented.A balanced presentation of both e
叢書名稱Springer Finance
圖書封面Titlebook: Discrete Time Series, Processes, and Applications in Finance;  Gilles Zumbach Book 2013 Springer-Verlag Berlin Heidelberg 2013 91B84, 91B70
描述.Most financial and investment decisions are based on considerations of possible future changes and require forecasts on the evolution of the financial world. Time series and processes are the natural tools for describing the dynamic behavior of financial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implications for important financial applications used in many areas like risk evaluation, option pricing or portfolio construction. The statistical tools used to extract information from raw data are introduced. Extensive multiscale empirical statistics provide a solid benchmark of stylized facts (heteroskedasticity, long memory, fat-tails, leverage…), in order to assess various mathematical structures that can capture the observed regularities. The author introduces a broad range of processes and evaluates them systematically against the benchmark, summarizing the successes and limitations of these models from an empirical point of view. The outcome is that only multiscale ARCH processes with long memory, discrete multiplicative structures and n
出版日期Book 2013
關(guān)鍵詞91B84, 91B70, 91G70, 62P20, 91G20, 91B30; modelling of financial processes; option pricing; portfolio m
版次1
doihttps://doi.org/10.1007/978-3-642-31742-2
isbn_softcover978-3-642-43654-3
isbn_ebook978-3-642-31742-2Series ISSN 1616-0533 Series E-ISSN 2195-0687
issn_series 1616-0533
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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發(fā)表于 2025-3-22 00:06:26 | 只看該作者
Logarithmic Versus Relative Random Walks,zed, showing that both definitions have first a square root of time diffusion phase, followed by an exponential grow of the variance. Finally, the implications of the return definitions with respect to the skewness is explored, showing that the relative return definition is compatible with no skew.
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發(fā)表于 2025-3-22 01:38:05 | 只看該作者
Book 2013l world. Time series and processes are the natural tools for describing the dynamic behavior of financial data, leading to the required forecasts. This book presents a survey of the empirical properties of financial time series, their descriptions by means of mathematical processes, and some implica
地板
發(fā)表于 2025-3-22 07:58:02 | 只看該作者
Fred H. Geisler,William P. Coleman construction of models in finance and in physics, and the points that set this book apart from the existing literature. Finally, a companion web site is introduced. This site presents much more statistics and graphs for a deeper analysis of the empirical time series and processes.
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發(fā)表于 2025-3-22 09:39:25 | 只看該作者
https://doi.org/10.1007/978-0-387-77893-8annualizes systematically the derived quantities in order to easily compare statistics across time horizons. The definitions of the average, expectation, and histogram complete the set of basic tools needed for the empirical analysis.
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發(fā)表于 2025-3-22 13:27:23 | 只看該作者
Flávio E. Nácul,John M. O’DonnellIn particular, the cross-correlation between volatilities at different time horizons gives a characteristic signature of the heteroscedasticity, which emphasizes the (non)invariance with respect to the reversal of the time direction.
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發(fā)表于 2025-3-22 17:43:52 | 只看該作者
Sneeta Takhar M.D.,Myer H. Rosenthal M.D.hmark for the subsequent analysis of the processes. For this set of FX rates, they show in an informal way the regularities and variability in the statistics. For the processes studied in the following chapter, the mug shots will give a?convenient summary of the statistical properties that need to be reproduced.
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