2009/04/16 by Gopal K. Basak, Ravi Jagannathan, Tongshu Ma · 1 citation
Economics, Econometrics and Finance · #Financial Markets and Investment Strategies #Financial Risk and Volatility Modeling #Monetary Policy and Economic Impact
paper · doi:10.1287/mnsc.1090.1001
We develop a jackknife estimator for the conditional variance of a minimum tracking error variance portfolio constructed using estimated covariances. We empirically evaluate the performance of our estimator using an optimal portfolio of 200 stocks that has the lowest tracking error with respect to the S&P 500 benchmark when three years of daily return data are used for estimating covariances. We find that our jackknife estimator provides more precise estimates and suffers less from in-sample optimism when compared to conventional estimators.