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The impact of elasticity on disposition effect driven momentum, substitutability, size, and January seasonality

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Abstract

We find that momentum caused by disposition effect is mainly driven by stocks with unrealized capital gains and it is greater when price elasticity of demand is low. We further find that the size effect on momentum and January seasonality in momentum disappear when price elasticity of demand is low. In addition, the price elasticity of demand for stocks is related to the phase of business cycle and degree of product substitutability. Our findings are robust to other factors and the effect of market states on momentum profits.

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Notes

  1. Yeh and Li (2011), Jiang et al. (2012) and Yu (2012) demonstrate that risk-based explanations cannot account for all of the profits of momentum strategies.

  2. George and Hwang (2004) and Bhootra and Hur (2013) document anchoring bias (Tversky and Kahneman 1974) for the momentum effect.

  3. Other papers that explain momentum arising out of disposition effect include Hur et al. (2010).

  4. See Page 314 in Grinblatt and Han (2005) for more detailed explanation.

  5. Grinblatt et al. (1995) show that momentum is entirely driven by buying winners and not by selling losers.

  6. This essentially removes all ADRs, SBIs, Units, REITS, closed-end funds and companies incorporated outside the U.S.A.

  7. Use of T = 3 years though somewhat arbitrary recognizes the fact that longer time period are not useful as distant market prices have little effect on the reference price while it also gives us an accurate measure of unrealized capital gains (losses). Moreover Grinblatt and Han (2005) show that ability of capital gains overhang measure to predict future returns is insensitive to using 3, 5 or 7 years of past returns and volume data.

  8. Please see Page 585 in Shleifer (1986) for more detailed explanation.

  9. Similar to Fu (2009), the idiosyncratic volatility of stock i in month t is defined as standard deviation of the residuals from three factor model regression using daily returns times the square root of the number of trading days in the month. We include only firms that have at least 12 trading days in a month for the computation of idiosyncratic volatility. Please see Page 26 in Fu (2009) for detailed explanation.

  10. Please see Page 318 in Grinblatt and Han (2005) for more detailed explanation.

  11. We thank an anonymous referee for this insightful argument.

  12. Table 2 presents similar findings in Table 2 in Lee and Swaminathan (2000) that (1) most of the momentum profits come from selling losers with high volume and (2) the average returns difference between winner with low volume and winners with high volume is statistically insignificant.

  13. We exclude the months with negative slope coefficient of regression Eq. (3) because the increase of abnormal volume should cause the increase of abnormal return if it captures inelasticity of demand. However, our results are robust to the inclusion of those months.

  14. We extracted the returns of the factor portfolios from Professor Kenneth French’s website. We sincerely thank Professor French for providing us with the data.

  15. There are 492 months of liquidity factors unlike 513 for Fama–French 3 factors. After excluding 15 months of negative elasticity months, we form 477 months into 3 groups on elasticity in Panel D.

  16. We identity the periods of recession in our sample period from NBER website as follows: December 1969–November 1970; November 1973–March 1975; January–July 1980; July 1981–November 1982; July 1990–March 1991; March 2001–November 2001; December 2007–June 2009.

References

  • Ahern R (2014) Do common stocks have perfect substitutes? Rev Econ Stat 98(4):756–766

    Article  Google Scholar 

  • Atkins A, Dyl E (1997) Transaction costs and holding periods for common stocks. J Finance 52(1):309–325

    Article  Google Scholar 

  • Barberis N, Shleifer A, Vishny R (1998) A model of investor sentiment. J Financ Econ 49(3):307–343

    Article  Google Scholar 

  • Beneish M, Whaley R (1996) An anatomy of the “S&P 500 game: the effects of changing the rules. J Finance 51(5):1909–1930

    Google Scholar 

  • Bennett A, Sias R, Starks L (2003) Greener pastures and the impact of dynamic institutional preferences. Rev Financ Stud 16(4):1203–1238

    Article  Google Scholar 

  • Bhootra A, Hur J (2013) The timing of 52-week high price and momentum. J Bank Finance 37(10):3773–3782

    Article  Google Scholar 

  • Blouin J, Raedy J, Shackelford D (2000) The impact of capital gains taxes on stock price reactions to S&P 500 inclusion. In: NBER working paper no. 8011

  • Blume M, Edelen R (2001) On S&P 500 index replication strategies. In: Working paper. University of Pennsylvania

  • Brandt M, Brav A, Graham J, Kumar A (2010) The idiosyncratic volatility puzzle: time trend or speculative episodes? Rev Financ Stud 23(2):863–899

    Article  Google Scholar 

  • Chan K, Jegadeesh N, Lakonishok J (1996) Momentum strategies. J Finance 51(5):1681–1713

    Article  Google Scholar 

  • Chen J, Hong H (2002) Discussion of momentum and autocorrelation in stock returns. Rev Financ Stud 15(2):565–573

    Article  Google Scholar 

  • Cooper M, Gutierrez R, Hameed A (2004) Market states and momentum. J Finance 59(1):1345–1365

    Article  Google Scholar 

  • Daniel K, Hirshleifer D, Subrahmanyam A (1998) Investor psychology and security market under- and overreactions. J Finance 53(5):1839–1886

    Article  Google Scholar 

  • DeLong B, Summers L, Shleifer A, Waldmann R (1990) Positive feedback investment strategies and destabilizing rational speculation. J Finance 45(2):379–395

    Article  Google Scholar 

  • Fama E (1998) Market efficiency, long-term returns, and behavioral finance. J Financ Econ 49(3):283–306

    Article  Google Scholar 

  • Fama E, French K (2008) Dissecting anomalies. J Finance 63(4):1653–1678

    Article  Google Scholar 

  • Field M, Pagoulatos E (1997) The cyclical behavior of price elasticity of demand. South Econ J 64(1):118–129

    Article  Google Scholar 

  • Frazzini A (2006) The disposition effect and under-reaction to news. J Finance 61(4):2017–2046

    Article  Google Scholar 

  • Fu F (2009) Idiosyncratic risk and the cross-section of expected stock returns. J Financ Econ 91(1):24–37

    Article  Google Scholar 

  • George T, Hwang C (2004) The 52-week high and momentum investing. J Finance 59(5):2145–2176

    Article  Google Scholar 

  • Grinblatt M, Han B (2005) Prospect theory, mental accounting, and momentum. J Financ Econ 78(2):311–339

    Article  Google Scholar 

  • Grinblatt M, Titman S, Wermers R (1995) Momentum investment strategies, portfolio performance, and herding: a study of mutual fund behavior. Am Econ Rev 85(5):1088–1105

    Google Scholar 

  • Harris L, Gurel E (1986) Price and volume effects associated with changes in the S&P 500: new evidence for the existence of price pressures. J Finance 41(4):815–830

    Article  Google Scholar 

  • Hong H, Stein J (1999) A unified theory of underreaction, momentum trading, and overreaction in asset markets. J Finance 54:2143–2184

    Article  Google Scholar 

  • Hur J, Pritamani M, Sharma V (2010) Momentum and the disposition effect: the role of individual investors. Financ Manag 39(3):1155–1176

    Article  Google Scholar 

  • Jegadeesh N (1990) Evidence of predictable behavior of security returns. J Finance 45(3):881–898

    Article  Google Scholar 

  • Jegadeesh N, Titman S (1993) Returns to buying winners and selling losers: implications for stock market efficiency. J Finance 48(1):65–91

    Article  Google Scholar 

  • Jiang G, Li D, Li G (2012) Capital investment and momentum strategies. Rev Quant Finance Account 39(2):165–188

    Article  Google Scholar 

  • Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–291

    Article  Google Scholar 

  • Kaul A, Mehrotra V, Morck R (2000) Demand curves for stocks do slope down: new evidence from an index weights adjustment. J Finance 55(2):893–912

    Article  Google Scholar 

  • Lee C, Swaminathan B (2000) Price momentum and trading volume. J Finance 55(5):2017–2069

    Article  Google Scholar 

  • Lehmann B (1990) Fads, martingales, and market efficiency. Q J Econ 105(1):1–28

    Article  Google Scholar 

  • Lewellen J (2002) Momentum and autocorrelation in stock returns. Rev Financ Stud 15(2):533–563

    Article  Google Scholar 

  • Lo A, MacKinlay A (1990) When are contrarian profits due to stock market overreaction? Rev Financ Stud 3(2):175–205

    Article  Google Scholar 

  • Lynch A, Mendenhall R (1997) New evidence on stock price effects associated with changes in the S&P 500 index. J Bus 70(3):351–383

    Article  Google Scholar 

  • Mitchell M, Stafford E (2000) Managerial decisions and long-term stock price performance. J Bus 73(3):287–329

    Article  Google Scholar 

  • Newey W, West K (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3):703–708

    Article  Google Scholar 

  • Pastor L, Stambaugh R (2004) Liquidity risk and expected stock returns. J Polit Econ 111(3):642–685

    Article  Google Scholar 

  • Roll R, Schwartz E, Subrahmanyam A (2011) Volume in redundant assets. In: Working paper, UCLA

  • Shefrin H, Statman M (1985) The disposition to sell winners too early and ride losers too long: theory and evidence. J Finance 40(3):777–790

    Article  Google Scholar 

  • Shleifer A (1986) Do demand curves for stocks slope down? J Finance 41(3):579–590

    Article  Google Scholar 

  • Thaler R (1980) Toward a positive theory of consumer choice. J Econ Behav Organ 1(1):39–60

    Article  Google Scholar 

  • Tversky A, Kahneman D (1974) Judgement under uncertainty: heuristics and biases. Science 185(4157):1124–1131

    Article  Google Scholar 

  • Wurgler J, Zhuravskaya E (2002) Does arbitrage flatten demand curves for stocks? J Bus 75(4):583–608

    Article  Google Scholar 

  • Yao Y (2012) Momentum, contrarian, and the January seasonality. J Bank Finance 36(10):2757–2769

    Article  Google Scholar 

  • Yeh C-C, Li C-A (2011) Investor psychological and behavioral bias: do high sentiment and momentum exist in the China stock market? Rev Pac Basin Financ Mark Pol 14(3):429–448

    Article  Google Scholar 

  • Yu S (2012) New empirical evidence on the investment success of momentum strategies based on relative stock prices. Rev Quant Finance Account 39(1):105–121

    Article  Google Scholar 

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Correspondence to Vivek Singh.

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Egginton, J., Hur, J. & Singh, V. The impact of elasticity on disposition effect driven momentum, substitutability, size, and January seasonality. Rev Quant Finan Acc 52, 759–780 (2019). https://doi.org/10.1007/s11156-018-0725-6

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