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Conditional value at risk and related linear programming models for portfolio optimization

✍ Scribed by Renata Mansini; Włodzimierz Ogryczak; M. Grazia Speranza


Publisher
Springer US
Year
2006
Tongue
English
Weight
687 KB
Volume
152
Category
Article
ISSN
0254-5330

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## Abstract The variance of a portfolio can be forecast using a single index model or the covariance matrix of the portfolio. Using univariate and multivariate conditional volatility models, this paper evaluates the performance of the single index and portfolio models in forecasting value‐at‐risk (