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Titlebook: A Cookbook with Probability One; With Financial Appli Damiano Rossello Textbook 2024 The Editor(s) (if applicable) and The Author(s), under

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樓主
發(fā)表于 2025-3-21 16:21:39 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱A Cookbook with Probability One
期刊簡稱With Financial Appli
影響因子2023Damiano Rossello
視頻videohttp://file.papertrans.cn/168/167014/167014.mp4
發(fā)行地址Supplements cookbook presentation of probability theory with the necessary mathematical rigor.Yields a self-contained treatment of special applications such as risk measures.Provides accessible probab
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圖書封面Titlebook: A Cookbook with Probability One; With Financial Appli Damiano Rossello Textbook 2024 The Editor(s) (if applicable) and The Author(s), under
影響因子.This book offers accessible probabilistic modelling of relevant financial problems. It is divided into two parts. The first part (cookbook) is written by emphasizing the key definitions and theorems without wasting too much of the reader with unnecessary technical details. Here, the first kind of target audience is graduate students in Economics with no prior exposition to probability theory (except for undergraduate courses in Applied Statistics) which are provided by a self-contained account of probabilistic modelling mainly applied to finance. The fundamental concepts of random variable/vector and probability distributions are introduced beforehand with respect to the usual treatment of this subject in standard probability textbook, trying to strike a balance between precise mathematical definitions and their applied knowledge. All the analytic tools developed are illustrated through examples of probability distributions of future stock prices, returns and profit and loss, together with their main characteristics, such as moments, moment generating and characteristic functions, location-scale families, and quantiles. The extension to the multivariate case for fixed time horizon
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Keith Griffin,Azizur Rahman Khan is almost continuous in time, we can have a continuous-time series over some time interval .. Our aim is to build a model to describe the time evolution of such quantities in the future, trying to fit some probabilistic framework to the past behavior of a time series. From now on, we assume . is a fixed probability space.
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Textbook 2024n by emphasizing the key definitions and theorems without wasting too much of the reader with unnecessary technical details. Here, the first kind of target audience is graduate students in Economics with no prior exposition to probability theory (except for undergraduate courses in Applied Statistic
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