Title: When low-frequency measures really measures transaction costs
Authors: Mohammad Jahan-Parvar - Federal Reserve Baord of Governors (United States) [presenting]
Filip Zikes - Federal Reserve Board (United States)
Abstract: Popular measures of transaction costs based on daily data with their high-frequency data-based counterparts are compared. We find that for U.S. equities and major foreign exchange rates, (i) the measures based on daily data are highly upward biased and imprecise; (ii) the bias is a function of volatility; and (iii) it is primarily volatility that drives the dynamics of these liquidity proxies both in the cross section as well as over time. We corroborate the results in carefully designed simulations and show that such distortions arise when the true transaction costs are small relative to volatility. Many financial assets exhibit this property, not only in the last two decades, but also in the previous century. We document that using low-frequency measures as liquidity proxies in standard asset pricing tests may produce sizable biases and spurious inferences about the pricing of aggregate volatility or liquidity risk.