Read Between the Filings: Daily Mutual Fund Holdings and Liquidity Provision

Abstract

Many questions about mutual fund trading require daily holdings, yet mutual funds are only required to report quarterly holdings. I model intraquarter trading and use the genetic algorithm to estimate the trade pattern that is most consistent with the fund's daily reported returns. I validate the model empirically on a sample of institutional trades from Ancerno and I confirm that the method more accurately predicts daily holdings when compared to existing naive assumptions. Further, my method is substantially more accurate in classifying a fund’s tendency to supply liquidity, and this increased precision has important implications for identifying superior performing funds. Specifically, a long-short strategy based on the model’s liquidity provision measures earns significant abnormal returns, while a similar strategy that relies on quarterly holdings does not exhibit any outperformance.

Keywords: Mutual Funds, Liquidity Provision, Genetic Algorithm

JEL Classification: G230