Financial Risk Modelling and Portfolio Optimization with R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Financial Risk Modelling and Portfolio Optimization with R

简体网页||繁体网页
Bernhard Pfaff 作者
John Wiley & Sons
译者
2013-1-8 出版日期
376 页数
GBP 66.95 价格
Hardcover
丛书系列
9780470978702 图书编码

Financial Risk Modelling and Portfolio Optimization with R 在线电子书 图书标签: R  金融  Finance  数据分析  risk  Stochastics  金融数学  资产管理   


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发表于2024-12-24


Financial Risk Modelling and Portfolio Optimization with R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Financial Risk Modelling and Portfolio Optimization with R 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Financial Risk Modelling and Portfolio Optimization with R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Financial Risk Modelling and Portfolio Optimization with R 在线电子书 用户评价

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我已上传人大论坛。

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我已上传人大论坛。

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Risk modelling case, proof hard, practically easy

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只看了markowitz Portfolio management和robust optimization的相关章节,对于r user来说还算不错的书,但是做optimization的话,还是Matlab之类的比较方便

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Risk modelling case, proof hard, practically easy

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Financial Risk Modelling and Portfolio Optimization with R 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Financial Risk Modelling and Portfolio Optimization with R 在线电子书 图书描述

Introduces the latest techniques advocated for measuring financial market risk and portfolio optimisation, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. Financial Risk Modelling and Portfolio Optimisation with R: Demonstrates techniques in modelling financial risks and applying portfolio optimisation techniques as well as recent advances in the field. Introduces stylised facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalised hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimisation with risk constraints. Enables the reader to replicate the results in the book using R code. Is accompanied by a supporting website featuring examples and case studies in R. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimisation will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

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