1. The Capacity of Trading Strategies
- Author
-
Landier, Augustin, Simon, Guillaume, Thesmar, David, Toulouse School of Economics (TSE), École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1), Université Toulouse - Jean Jaurès (UT2J), Groupement de Recherche et d'Etudes en Gestion à HEC (GREGH), Ecole des Hautes Etudes Commerciales (HEC Paris)-Centre National de la Recherche Scientifique (CNRS), HEC Paris Research Paper Series, Haldemann, Antoine, and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
- Subjects
asset pricing anomalies ,trading costs ,asset management ,JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G11 - Portfolio Choice • Investment Decisions ,[SHS.GESTION]Humanities and Social Sciences/Business administration ,[SHS.GESTION] Humanities and Social Sciences/Business administration ,arbitrage ,JEL: G - Financial Economics/G.G1 - General Financial Markets/G.G1.G12 - Asset Pricing • Trading Volume • Bond Interest Rates - Abstract
Due to non-linear transaction costs, the financial performance of a trading strategy decreaseswith portfolio size. Using a dynamic trading model a la Garleanu and Pedersen (2013), wederive closed-form formulas for the performance-to-scale frontier reached by competitive tradersendowed with a signal predicting stock returns. The decay with scale of the realized Sharperatio is slower for strategies that (1) trade more liquid stocks (2) are based on signals that donot fade away quickly and (3) have strong frictionless performance. We apply the framework tofour well-known strategies. The capacity of strategies has increased in the 2000s compared tothe 1990s due to increased liquidity. Because low volatility and past accounting profitability arepersistent characteristics, strategies based on them are highly scalable, including in the mid-caprange. When traders underestimate the number of competitors trading a similar signal, theirperformance is strongly negatively impacted.
- Published
- 2015