Monitoring Daily Hedge Fund Performance When Only Monthly Data is Available
Overview
Monitoring hedge fund performance day to day is next to impossible when funds disclose returns monthly or even less frequently. Markov Processes International makes the case for a computer modeling solution that uses low-frequency data, such as observed monthly fund returns, to infer and forecast daily returns. This replication strategy can provide timely information useful in managing risk or developing potential hedging strategies.