# How can I compare two mutual funds' performance with a sparse set of data?

I want to compare the performance of two mutual funds. The only data I have is annual returns for the past 7 years. So I have 7 observations for Fund 1 and 7 observations for Fund 2. In addition, I have data for market returns.

To compare the mean return of the two funds, I performed a $t$-test. Since the sample size is small, I expected to get no significant difference in mean return of two funds, and the result fits this expectation. What I want to know is which fund performed better in the past, Fund 1 or Fund 2? Is there any way to compare the performance of two funds?

I also performed bootstrapping to calculate the standard error of the mean. But, as per literature, bootstrapping is also not very efficient when the sample size is very small.