Investment Strategy Based on Bias Behavior and Investor Sentiment in Emerging Markets
Abstract
This research's main objective is to select profitable investment strategies with the presence of sentiment investors in emerging markets, with behavior bias-based portfolio methods. The sample of 114 companies traded daily on IDX was conducted over three years with weekly data. This study uses pairwise comparison and OLS. The research results show that contrarian strategies are more profitable than momentum. Investors benefit when mild conditions are optimistic and more significant when the conditions are pessimistic. This research proves that investor sentiment in the market can distort investor investment decisions, even using the behavior-bias method. Therefore, forming a portfolio will be more appropriate based on biased behavior because it facilitates investment decision-making.
How to Cite:
Koesoemasari, D.S.P., Haryono, T., Trinugroho, I., Setiawan, D. (2022). Investment Strategy Based on Bias and Investor Sentiment in Ememerging Market. Etikonomi, 21(1), 1-10. https://doi.org/10.15408/etk.v21i1.22290.
Keywords
References
Antonacci, G. (2012). Risk Premia Harvesting Through Momentum. Journal of Management & Entrepreneurship, 1, 27–55. https://doi.org/10.2139/ssrn.2042750.
Antoniou, A., Galariotis, E. C., & Spyrou, S. I. (2005). Contrarian Profits and the Overreaction Hypothesis : the Case of the Athens Stock Exchange. European Financial Management, 11(1), 71–98.
Arik, A. (2011). Modeling Market Sentiment and Conditional Distribution of Stock Index Returns under GARCH Process. (Unpublished Dissertation). Claremont Graduate University.
Bettman, J. L., Sault, S. J., & von Reibnitz, A. H. (2010). The Impact of Liquidity and Transaction Costs on the 52-Week High Momentum Strategy in Australia. Australian Journal of Management, 35(3), 227-244. https://doi.org/10.1177/0312896210385282.
Blau, B. M., DeLisle, R. J., & Whitby, R. J. (2020). Does Probability Weighting Drive Lottery Preferences? Journal of Behavioral Finance, 21(3), 233–247. https://doi.org/10.1080/15427560.2019.1672167.
Bordalo, P., Gennaioli, N., & Shleifer, A. (2012). Salience Theory of Choice Under Risk. Quarterly Journal of Economics, 127(3), 1243–1285. https://doi.org/10.1093/qje/qjs018.
Bordalo, P., Gennaioli, N., & Shleifer, A. (2013). Salience and Asset Prices. American Economic Review, 103(3), 623–628. https://doi.org/10.1257/aer.103.3.623.
Bornholt, G., & Malin, M. (2011). Is the 52-Week High Effect as Strong as Momentum? Evidence from Developed and Emerging Market Indices. Applied Financial Economics, 21(18), 1369–1379. https://doi.org/10.1080/09603107.2011.572848.
Brown, G. W., & Cliff, M. T. (2005). Investor Sentiment and Asset Valuation. The Journal of Business, 78(2), 405-440. https://doi.org/10.1086/427633.
Chang, C. Y., Chen, H.-L., & Kuo, W. (2016). The Analysis of 52-Week High Investing Strategy Based on Herding Behavior. International Review of Finance, 17(1), 77-106. https://doi.org/10.1111/irfi.12090.
Chao, H., Collver, C., & Limthanakom, N. (2012). Global Style Momentum. Journal of Empirical Finance, 19(3), 319–333. https://doi.org/10.1016/j.jempfin.2012.02.001.
Clarkson, P., Nekrasov, A., Simon, A., & Tutticci, I. (2020). Target Price Forecasts: The Roles of the 52-week High Price and Recent Investor Sentiment. Journal of Business Finance and Accounting, 47(9–10), 1365–1399. https://doi.org/10.1111/jbfa.12497.
Cosemans, M., & Frehen, R. (2021). Salience Theory and Stock Prices: Empirical Evidence. Journal of Financial Economics, 140(2), 460-483. https://doi.org/10.1016/j.jfineco. 2020.12.012.
Davallou, M., & Javadian, B. (2017). “The Timing of 52-Week High Price” Momentum: Evidence from Theran Stock Exchange. Financial Knowledge of Securities Analysis, 10(35), 63-77.
Dhankar, R. S. (2019). Capital Markets and Investment Decision Making. Springer Nature India Private Limited. New Delhi.
George, T. J., Hwang, C. Y., & Li, Y. (2018). The 52-Week High, Q-Theory, and the Cross Section of Stock Returns. Journal of Financial Economics, 128(1), 148–163. https://doi.org/10.1016/j.jfineco.2018.01.005.
Hao, Y., Chou, R. K., Ko, K. C., & Yang, N. T. (2018). The 52-Week High, Momentum, and Investor Sentiment. International Review of Financial Analysis, 57(2017), 167–183. https://doi.org/10.1016/j.irfa.2018.01.014.
Hao, Y., Chu, H., Ho, K., & Ko, K. (2016). The 52-Week High and Momentum in the Taiwan Stock Matket: Anchoring or Recency Biases? International Review of Economics and Finance, 43, 121-138. https://doi.org/10.1016/j.iref.2015.10.035.
Hartzmark, S. M. (2015). The Worst, the Best, Ignoring All the Rest: The Rank Effect and Trading Behavior. Review of Financial Studies, 28(4), 1024–1059. https://doi.org/10.1093/rfs/hhu079.
Lee, E., & Piqueira, N. (2019). Behavioral Biases of Informed Traders: Evidence from Insider Trading on the 52-Week High. Journal of Empirical Finance, 52, 56–75. https://doi.org/10.1016/j.jempfin.2019.02.007.
Li, B., Ee, M. S., Boo, Y. L., & Rashid, M. (2017). The Last Alibi; Shari’ah Compliant Stocks on Momentum Profitability Assessment. In Mutum, D. S., Butt, M. M., & Rashid, M. (Eds). Advances in Islamic Finance , Marketing , and Management (pp. 3–26). https://doi.org/10.1108/978-1-78635-899-820161001.
Li, B., Ee, M. S., & Rashid, M. (2016). Is Momentum Trading Profitable from Shari’ah Compliant Stock? Review of Financial Economics, 31, 56-63. https://doi.org/10.1016/j.rfe.2016.08.002.
Li, J., & Yu, J. (2012). Investor Attention, Psychological Anchors, and Stock Return Predictability. Journal of Financial Economics, 104(2), 401–419. https://doi.org/10.1016/j.jfineco.2011.04.003.
Maheshwari, S., & Dhankar, R. S. (2017). Profitability of Volume-based Momentum and Contrarian Strategies in the Indian Stock Market. Global Business Review, 18(4), 1–19. https://doi.org/10.1177/0972150917692401.
Mehrani, K., Rahnamay, F., & Nekomaram, H. (2016). Behavioral Trading Strategies and Investor Sentiment : Empirical Research in Tehran Stock Exchange (TSE). Indonesian Capital Market Review, 8(2), 94–109. https://doi.org/10.21002/icmr.v8i2.5708.
Mei, J., Scheinkman, A., & Xiong, W. (2009). Speculative Trading and Stock Prices : An Analysis of Chinese A-B Share Premia. Annals of Economics and Finance, 10(2), 225–255.
Montgomery, W., Raza, A., & Ülkü, N. (2019). Tests of Technical Trading Rules and the 52-week High strategy in the Corporate Bond Market. Global Finance Journal, 40, 85–103. https://doi.org/10.1016/j.gfj.2018.01.018.
Pan, L., Tang, Y., & Xu, J. (2013). Weekly Momentum by Return Interval Ranking. Pacific-Basin Finance Journal, 21(1), 1191–1208. https://doi.org/10.1016/j.pacfin.2012.06.001.
Ramos, S. B., Latoeiro, P., & Veiga, H. (2020). Limited Attention, Salience of Information and Stock Market Activity. Economic Modelling, 87, 92–108. https://doi.org/10.1016/j.econmod.2019.07.010.
Raza, A., Marshall, B. R., & Visaltanachoti, N. (2014). Is There Momentum or Reversal in Weekly Currency Returns ? Journal of International Money and Finance, 45, 38–60. https://doi.org/10.1016/j.jimonfin.2014.02.009.
Rizkiana, A., Sari, H., Hardjomidjojo, P., & Prihartono, B. (2019). The Development of Composite Sentiment Index in Indonesia Based on the Internet-Available Data. Cogent Economics and Finance, 7(1), 1–8. https://doi.org/10.1080/23322039.2019.1669399.
Sehgal, S., & Vasishth, V. (2015). Past Price Changes, Trading Volume and Prediction of Portfolio Returns Evidence from Select Emerging Markets. Journal of Advances in Management Research, 12(3), 232–248. https://doi.org/10.1108/JAMR-10-2014-0056.
Shi, H. L., Jiang, Z. Q., & Zhou, W. X. (2015). Profitability of Contrarian Strategies in the Chinese Stock Market. PLoS ONE, 10(9), 1–22. https://doi.org/10.1371/journal.pone.0137892.
Tversky, A., & Kahneman, D. (1974). Judgment Under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124–1131.
Widhiarti, R. P., Anggraeni, L., & Pasaribu, S. H. (2018). Analysis of Investor Sentiment Impact in Indonesia Composite Stock Price Index Return Volatility. Indonesian Journal of Business and Entrepreneurship, 4(3), 239–248. https://doi.org/10.17358/ijbe.4.3.239.
Zhou, X., Liu, Q., & Guo, S. (2022). The 52-Week High Momentum Strategy and Economic Policy Uncertainty: Evidence from China. Emerging Markets Finance and Trade, 58(2), https://doi.org/10.1080/1540496X.2021.1904880.
DOI: 10.15408/etk.v21i1.22290
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