Which method is commonly used to analyze performance persistence in investment funds?

The method commonly used to analyze performance persistence in investment funds is regression tests. This statistical technique allows analysts to examine the relationship between a fund's past performance and its future performance over different time periods. By applying regression analysis, one can determine if a fund’s historical returns are indicative of its future returns, thus helping to identify whether a fund consistently outperforms or underperforms relative to its benchmark or peers.

The application of regression tests is particularly beneficial because it provides a quantitative measure of performance relationships, accounting for various influencing factors and isolating the effect of specific characteristics on fund returns. This can help investment managers and investors assess the likelihood that a fund will continue to perform well based on its historical data.

Other methods listed, such as market analysis techniques and surveying client satisfaction, do not directly assess performance persistence. Qualitative investment reviews provide valuable insights into fund management and strategy but lack the rigorous quantitative analysis needed to evaluate persistence effectively. Thus, regression tests stand out as the most appropriate tool for this specific analysis.