Advanced stochastic models, risk assessment, and portfolio optimization : the ideal risk, uncertainty, and performance measures

This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new appr...

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書誌詳細
第一著者: Rachev, S. T
フォーマット: 図書
言語:Undetermined
出版事項: Hoboken, N.J. Wiley 2008
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Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
その他の書誌記述
要約:This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they illustrate a range of applications to optimal portfolio choice and risk theory, as well as applications to the area of computational finance that may be useful to financial engineers.