書目名稱 | Discrete Time Series, Processes, and Applications in Finance | 編輯 | Gilles Zumbach | 視頻video | http://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 |  | 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 | doi | https://doi.org/10.1007/978-3-642-31742-2 | isbn_softcover | 978-3-642-43654-3 | isbn_ebook | 978-3-642-31742-2Series ISSN 1616-0533 Series E-ISSN 2195-0687 | issn_series | 1616-0533 | copyright | Springer-Verlag Berlin Heidelberg 2013 |
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