Sun, David and Tsai, Shih-Chuan and Wang, Wei (2011): Behavioral investment strategy matters: a statistical arbitrage approach.
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In this study, we employ a statistical arbitrage approach to demonstrate that momentum investment strategy tend to work better in periods longer than six months, a result different from findings in past literature. Compared with standard parametric tests, the statistical arbitrage method produces more clearly that momentum strategies work only in longer formation and holding periods. Also they yield positive significant returns in an up market, but negative yet insignificant returns in a down market. Disposition and over-confidence effects are important factors contributing to the phenomenon. The over-confidence effect seems to dominate the disposition effect, especially in an up market. Moreover, the over-confidence investment behavior of institutional investors is the main cause for significant momentum returns observed in an up market. In a down market, the institutional investors tend to adopt a contrarian strategy while the individuals are still maintaining momentum behavior within shorter periods. The behavior difference between investor groups explains in part why momentum strategies work differently between up and down market states. Robustness tests confirm that the momentum returns do not come from firm size, overlapping execution periods, market states definition or market frictions.
|Item Type:||MPRA Paper|
|Original Title:||Behavioral investment strategy matters: a statistical arbitrage approach|
|Keywords:||Momentum Strategy, Statistical Arbitrage, Market State, Disposition Effect|
|Subjects:||G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates
L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L11 - Production, Pricing, and Market Structure ; Size Distribution of Firms
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design
D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness
|Depositing User:||David Sun|
|Date Deposited:||11. Mar 2012 14:12|
|Last Modified:||01. Jan 2016 01:28|
1.Bondarenko O, (2003). Statistical Arbitrage and Securities Prices, Rev. Finan. Stud., 16(3): 875-919.
2.Cooper MJ, Gutierrez RC, Hameed A, (2004), Market States and Momentum, J. Finan., 59(3):1345-1365.
3.Daniel K, Hirshleifer D, Subrahmanyam A, (1998). Investor Psychology and Security Market Under and Overreactions, J. Finan., 53: 1839-1885.
4.Daniel K, Titman S, (1999). Market Efficiency in an Irrational World, J. Fiana. Ana., 55(6): 28-40.
5.Dunis CL, Ho R, (2005). Cointegration Portfolios of European Equities for Index Tracking and Market Neutral Strategies, J. Asset Mgmt., 6(1): 33-52.
6.Fama EF, (1998), Market Efficiency, Long-term Returns, and Behavioral Finance, J. Finan. Econ., 49: 283-306.
7.Gatev EG, Goetzmann W.N, Rouwenhorst KG, (2006). Pairs Trading： Performance of a Relative Value Arbitrage Rule, Rev. Finan. Stud., 19: 797-827.
8.Hogan S, Jarrow R, Teo M, Warachka M, (2004). Testing market efficiency using statistical arbitrage with applications to momentum and value trading strategies, J. Finan. Econ., 73: 525-565.
9.Jarrow R, Teo M, Tse YK, Warachka M,(2005). Statistical Arbitrage and Market Efficiency: Enhanced Theory, Robust Tests and Further Application, Working Paper.
10.Jegadeesh N, Titman S, (1993), Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency, J. Finan., 48(1): 65–91.
11.Kahnman D, Tversky A, (1979). Prospect Theory: an Analysis of Decision under Risk, Econometrica, 47(2): 263-291.
12.Peterson MA, (2009), Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches, Rev. Finan. Stud., 22: 435-480.
13.Rouwenhorst GK, (1998). International momentum strategies, J. Finan., 53(1): 267-284.
14.Shefrin H, Statman M, (1985). The Disposition Effect to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence, J. Finan., 40(3): 777-792.
15.Triantafyllopoulos K, Montana G, (2011). Dynamic Modeling of Mean-Reverting Spreads for Statistical Arbitrage, Comput. Mgmt. Sci.ence, 8(1): 23-49.
16.Weber M, Camerer C F, (1998). The Disposition Effect in Securities Trading: An Experimental Analysis, J. Econ. Behav. Organ., 33: 167-184.