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来源类型Working Paper
规范类型报告
DOI10.3386/w7039
来源IDWorking Paper 7039
On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model
Louis K.C. Chan; Jason Karceski; Josef Lakonishok
发表日期1999-03-01
出版年1999
语种英语
摘要We evaluate the performance of different models for the covariance structure of stock returns, focusing on their use for optimal portfolio selection. Comparisons are based on forecasts of future covariances as well as the out-of-sample volatility of optimized portfolios from each model. A few factors capture the general covariance structure but adding more factors does not improve forecast power. Portfolio optimization helps for risk control, but the different covariance models yield similar results. Using a tracking error volatility criterion, larger differences appear, with particularly favorable results for a heuristic approach based on matching the benchmark's attributes.
主题Financial Economics ; Portfolio Selection and Asset Pricing
URLhttps://www.nber.org/papers/w7039
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/564561
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Louis K.C. Chan,Jason Karceski,Josef Lakonishok. On Portfolio Optimization: Forecasting Covariances and Choosing the Risk Model. 1999.
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