RT Journal Article
SR Electronic
T1 Modernizing Volatility Managed Strategies
JF The Journal of Portfolio Management
FD Institutional Investor Journals
SP jpm.2023.1.466
DO 10.3905/jpm.2023.1.466
A1 Junseung Bae
A1 Ryan Poirier
YR 2023
UL https://pm-research.com/content/early/2023/02/03/jpm.2023.1.466.abstract
AB There is a positive relationship between the performance of volatility managed strategies and the accuracy of the volatility estimation—more accurate forecasts result in higher Sharpe ratios. Industry-standard volatility managed strategies allow a full day between volatility estimation and execution. In other words, we estimate volatility after the close of t − 2, execute the trade market-on-close t − 1, and capture net profits on t. This full-day lag naturally degrades the forecast accuracy, potentially resulting in suboptimal Sharpe ratios. The authors propose a robust framework that shortens the lag, effectively achieving a more accurate forecast by incorporating more current information in the prediction model. The result is higher Sharpe ratios, higher utility, and lower volatility of volatility.