Trading Costs of Asset Pricing Anomalies ∗ ANDREA FRAZZINI, RONEN ISRAEL, AND TOBIAS J. MOSKOWITZ First draft: October 23, 2012 This draft: September 9, 2015 Abstract Using over a trillion dollars of live trading data from a large institutional money manager across 21 developed equity markets over a 16-year period, we measure the real-world transactions costs and price impact function facing an arbitrageur and apply them to trading strategies based on empirical asset pricing anomalies. We find that actual trading costs are an order of magnitude smaller than previous studies suggest. In addition, we show that small portfolio changes to reduce transactions costs can increase the net returns and break-even capacities of these strategies substantially, with little tracking error. Use of live trading data from a real arbitrageur and portfolios designed to address trading costs give a vastly different portrayal of implementation costs than previous studies suggest. We conclude that the main capital market anomalies – size, value, and momentum – are robust, implementable, and sizeable in the face of transactions costs. ∗Andrea Frazzini is at AQR Capital Management, e-mail:
[email protected]. Ronen Israel is at AQR Capital Management, e-mail:
[email protected]. Tobias Moskowitz is at the Booth School of Business, University of Chicago, NBER, and AQR Capital Management, email:
[email protected]. We thank Cliff Asness, Malcolm Baker, John Campbell, Josh Coval, Darrell Duffie, Eugene Fama, John Heaton, Bryan Kelly, John Liew, Gregor Matvos, Michael Mendelson, Hitesh Mitthal, Stefan Nagel, Lasse Pedersen, Amit Seru, Amir Sufi, Richard Thaler, Annette Vissing-Jorgensen, Brian Weller, and seminar participants at the University of Chicago, Harvard Business School, Stanford University, and University of California Berkeley for helpful comments.