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The Role of Recency Bias in Forming Momentum Pattern; Evidence from Tehran Stock Exchange

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Document Type : Research Paper

Abstract

Purpose: Studies have shown that price trends such as momentum in the stock market form opportunities for abnormal returns. The underreaction of investors to reference points, due to behavioral bias, is one of the reasons for forming momentum. In this research, the role of recency bias in forming momentum pattern is investigated.
Methods: Research is a ex-post facto research that is carried out using a portfolio study method and data obtained from 108 companies from Tehran Stock Exchange during the 10 years from the beginning of 1386 to the end of 1395 (Solar Hijri-Iranian calendar) and selecting the three reference prices including 13-, 26- and 52-week high prices. Also, robustness tests based on Fama-French multi-factor model and Fama-MacBeth model.
Results: Momentum strategies based on 13, 26 and 52-week reference prices in the portfolios of 20% winner-loser stocks are 0%, 8.2%, and, 8.1%, respectively, the latter two being statistically significant. With 3 and 6-month echo periods, the strategy of the 26-week high at portfolio levels is significant and this return is maintained by adjusting the risk factors. The results were evaluated by robustness tests and the evidences indicate that the findings are significant in the presence of control variables.
Conclusions: results showed momentum strategy based on 26-week high price due to recency bias (that is defined by recency ratio) has a higher performance compared to other reference prices that can be explained by the phenomenon of updating reference points.It also improves with increasing echo effect.
Contribution: In this study, the role of the recency bias and the echo effect with the three reference prices is examined and the 26-week high price is considered as a notable reference price which along with other reference prices in theory (such as a 52-week high price) can be used to define the momentum strategy.

Keywords

References
 
1.Atanasov. V and Nitschka. T (2014).” The Size Effect in Value and Momentum Factors: Implications for the Cross-Section of International Stock Returns”, Tinbergen Institute Discussion Paper, pp: 13-180/IV/DSF66
2.Badri. A. & Shavakhi, A. (2011). Reference points, stock price and trading volume: Evidences from Tehran Stock Exchange. Quarterly Journal of Securities Exchange. 12(3): 151-173 [in Persian]
3.Baker. M, Pan. X ,and Wurgler. J (2012). ” The effect of reference point prices on mergers and acquisitions.” Journal of Financial Economics, 106(1): 49–71.
4.Barroso. P and Santa-Clara. P (2015). “Momentum has its moments.” Journal of Financial Economics, 116(1): 111-120.
5.Baucells. M, Weber. M, and Welfens, F (2011). “Reference-Point Formation and Updating,” Management Science, 57(3): 506–519.
6.Bhootra. A and Hur. J (2013). “The timing of 52-week high price and momentum,” Journal of Banking & Finance, 37(3): 3773-3782.
7.Chen, A. and Yang, W. (2016). “Echo effects and the returns from 52-week high strategies”, Finance Research Letters, 16(3): 38-46.
8.Chordia. T and Shivakumar  L. (2002). “Momentum, Business Cycle, and Time-varying Expected Returns “, the Journal of Finance, 57(2): 985–1019
9.Coakley. J, Gazzaz. H, and Hardy. T (2017). “The impact of mispricing and growth on UK M&As”, The European Journal of Finance, 23(13): 1219-1237.
10.  Davallou, M. & Javadian, J. (2017). The timing of 52-week high price momentum: evidence from Tehran Stock Exchange. Financial Knowledge of Securities Analysis. 35(10): 63-77 )in Persian(
11.  De­Bondt, W. F., and Thaler, R. (1985). “Does the stock market overreact?”, The Journal of finance, 40(3): 793-805.
12.  Fallahpour, S., Sadi, R. & Aboutorabi, G. (2013). The relationship between daily return of individual stocks and the highest price in last 52 weeks in Tehran Stock Exchange. Quarterly Journal of Securities Exchange. 22(6): 73-101 [in Persian]
13.  Fama, E. F (1995).” Random Walks in Stock Market Prices”, Financial Analysts Journal, 51(1):75-80.
14.  Fama, E. F., and French. K. R. (1996). “Multifactor Explanations of Asset Pricing Anomalies”, Journal ofFinance, 51(3): 55–84.
15.  Fama. E and French. K (2012). “Size, value, and momentum in international stock returns”, Journal of Financial Economics,105(4): 457–472.
16.  Fama. E and MacBeth. D (1973). "Risk, Return, and Equilibrium: Empirical Tests",  Journal of Political Economy, 81(3): 607–636.

17.  Frazzini, A. (2006). “The Disposition Effect and Underreaction to News”, The Journal of Finance, 61(4): 2017-2046.

18.  George. T. J. and Hwang. C. Y., (2004). “The 52-week high and momentum investing”, Journal of Finance, 59(5): 2145-2176.
19.  Goyal. A and Wahal. S (2015). “Is Momentum an Echo?”, Journal of Financial and QuntitativeAnalysis, 50(6): 1237–1267.
20.  Hao. Y, Hsiang-Hui. D, Keng-Yu. D. and Kuan-Cheng. D (2016). ”The 52-week high and momentum in the Taiwan stock market: Anchoring or recency biases?”, International Review of Economics and Finance, 43(2): 121–138. 
21.  Hirshleifer, D. (2001). “Investor psychology and asset pricing”,  Journal of Finance: 56(1) 1533-1597.
22.  Hong. X, Jordan, D. Liub, M (2015). “Industry information and Industry information and the 52-week high effect,” Pacific-Basin Finance Journal, 32(2): 111-130.
23.  Jegadeesh, N. (1990). “Evidence of predictable behavior of security returns.”, Journal ofFinance: 45(1): 881–898.
24.  Jegadeesh, N. and Titman, S. (1993). “Returns to buying winners and selling losers: Implications for stock market efficiency.”, The Journal of Finance: 48(3): 65-91.
25.  Jegadeesh N. and Titman, S. (2001).” Profitability of Momentum Strategies: An Evaluation of Alternative Explanations”, The Journal of Finance: 56(2): 699–720.
26.  Kahneman, D. (2011). “Thinking, Fast and Slow”. 1th Edition.  Farrar, Straus and Giroux. New York.
27.  Kahneman, D (1992). “Reference points, anchors, norms, and mixed feelings.”Organizational Behavior and Human Decision Processes; 51(2):296–312.

28.  Kahneman, D. and Tversky, A. (1979). “Prospect theory: an analysis of decision under risk.”, Econometrica: 47(1): 263–292.

29.  Kliger, D. and Kudryavtsev, A., (2008). “Reference point formation by market investors.” Journal of Banking and Finance: 32(9): 1782–1794.

30.  Low, Y. and Tan, E (2016). “The role of analyst forecasts in the momentum effect”, International Review of Financial Analysis: 48 (1): 67-84

31.  Li, J., and Yu, J. (2012). "Investor attention, psychological anchors, and stock return predictability."Journal of Financial Economics:104(2): 401–419.

32.  Moskowitz, T. J., and Grinblatt, M. (1999). “Do industries explain momentum?” The Journal of Finance: 54(4): 1249-1290.
33.  Moskowitz, T. J.,  Hua Ooi, Y. ,and  Pedersen, L. H. (2012). “Time series momentum.”, Journal of Financial Economics: 104(2): 228–250.
34.  Murdock Jr. and Bennet B. (1962). “The serial position effect of free recall.” Journal of Experimental Psychology: 64(5): 482-488.
35.  Newey. W, and West. W (1987). “A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix”, Econometrica: 55(3): 703-708
36.  Novy-Marx,Robert (2012). “Is momentum really momentum?”, Journal of Financial Economics: 103(1): 429-453.
37.  Pravittanon. P (2012). “52-week high momentum investing strategy: evidence on SET”, Thammasat University, Available on: Thammasat University Digital Collections.
38.  Raghubir. P & Das. S (2010). “The Long and Short of It: Why Are Stocks with Shorter Runs Preferred?”, Journal of Consumer Research: 36(6): 964-982.
39.  Sinha .R (2016). “Underreaction to News in the US Stock Market”, Quarterly Journal of Finance: 6(2): 1-46.
40.  Thaler, R. H.  and Johnson, E. J.(1990). “Gambling with the house money and trying to break even: The Effect of Prior Outcomes Risky Choice.”, Management Science: 36(6): 643-660.
41.  Wang. K Q  and Xu. J (2015). ”Market volatility and momentum”.  Journal of Empirical Finance: 30 (1): 79–91.
Financial Accounting Knowledge
Volume 6, Issue 4 - Serial Number 23
February 2020
Pages 1-23
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