Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data - But Which Frequency To Use?
2005-09-21
Research Paper
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This paper investigates the merits of high-frequency intraday data when forming minimum variance portfolios and minimum tracking error portfolios with daily rebalancing from the individual constituents of the S&P 100 index. We focus on the issue of determining the optimal sampling frequency, which strikes a balance between variance and bias in covariance matrix estimates due to market microstructure effects such as non-synchronous trading and bid-ask bounce. The optimal sampling frequency typically ranges between 30- and 65-minutes, considerably lower than the popular five-minute frequency. We also examine how bias-correction procedures, based on the addition of leads and lags and on scaling, and a variance-reduction technique, based on subsampling, affect the performance.
- minute
- return
- covariance
- frequency
- portfolio
- variance
- sampling frequency
- matrix
- covariance matrix
- sampling
- variance portfolio
- sampling frequencies
- weight
- volatility
- trading
- subsampling
- stock
- decay
- panel
- table
