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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Egile nagusia: Rachev, S. T
Formatua: Liburua
Hizkuntza:Undetermined
Argitaratua: Hoboken, N.J. Wiley 2008
Gaiak:
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Thư viện lưu trữ: Trung tâm Học liệu Trường Đại học Cần Thơ
Deskribapena
Gaia: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.