The Gambler’s Fallacy, the Halo Effect, and the Familiarity Effect Based on Risk Profile: Bullish and Bearish Market in Indonesia Stock Exchange
Abstract
This study tests three behavioral biases: the gambler’s fallacy, the halo effect, and the familiarity effect. The novelty is the behavioral bias in bullish and bearish markets, based on different investors’ risk profiles. The questionnaire used a Likert scale. This study argues that bullish and bearish markets, and different risk profiles, affect investors’ behavioral bias. The gambler’s fallacy occurs when markets are bullish and partially when markets are bearish. The halo effect without risk profile does not occur in either market, and the familiarity effect occurs in both markets. Investors with a very conservative risk profile will experience behavioral bias, especially the gambler’s fallacy and the familiarity effect, with bullish and bearish markets. Investors with a conservative risk profile will partially experience the halo effect in bullish markets.
Keywords
DOI: 10.22146/gamaijb.64801
References
Alda, M. (2015). Herding and timing abilities : are both possible ? Investment Analysts Journal, 44(3), 199–221. https://doi.org/10.1080/10293523.2015.1063231
Alp, E., Keung, C., Lau, M., & Kahyaoglu, H. (2020). Research in International Business and Finance Uncertainty and herding behavior : evidence from cryptocurrencies. Research in International Business and Finance, 54(2), 101284. https://doi.org/10.1016/j.ribaf.2020.101284
Ángeles López-Cabarcos, Ada Pérez-Pico, Paula VázquezRodríguez & Luisa López-Pérez (2020) Investor sentiment in the theoretical field of behavioural finance, Economic Research- Ekonomska Istraživanja, 33:1, 2101-2119, DOI:10.1080/1331677X.2018.1559748
Bai, Y., & Campus, J. (2014). Cross-border sentiment : an empirical analysis on EU stock markets Cross-border sentiment : an empirical analysis on EU stock markets, (January 2015), 37–41. https://doi.org/10.1080/09603107.2013.864035
Bleaney,M.,Bougheas,S.,&Li,Z.(2017).DoPsychologicalFallaciesInfluenceTradinginFinancial Markets ?EvidencefromtheForeignExchangeMarket.JournalofBehavioralFinance,18(3),1– 14.https://doi.org/10.1080/15427560.2017.1331234
Bretcu, A. (2019). The halo effect in small enterprises' marketing. Fascicle II Economics Studies, 26, 54–61.
Chang, C., Mcaleer, M., & Wang, Y. (2020). Herding behaviour in energy stock markets during the GlobalFinancialCrisis,SARS,andongoingCOVID-19*☆.RenewableandSustainableEnergy Reviews, 134(July), 110349.https://doi.org/10.1016/j.rser.2020.110349
Choi, N., & Skiba, H. (2015). Institutional herding in international markets. Journal of Banking & Finance, 55, 246–259. https://doi.org/10.1016/j.jbankfin.2015.02.002
Clotfelter, C. T., & Cook, P. J. (2014). The "Gambler' s Fallacy" in Lottery Play. National Bureau of Economic Research, (August 1991).
De, V., & C, G. (2017). The familiar versus the unfamiliar : Familiarity bias amongst individual investors. Acta Commercii, 17(1), 1–10.
Dharani, M., Hassan, M. K., & Paltrinieri, A. (2019). Faith-based norms and portfolio performance : Evidence from India. Global Finance Journal, 41(September 2018), 79–89. https://doi.org/10.1016/j.gfj.2019.02.001
Dickason,Z.,&Ferreira,S.(2016).Establishingalinkbetweenrisktolerance,investorpersonalityand behavioural finance in South Africa. Cogent Economics & Finance, 6(1), 1–13. https://doi.org/10.1080/23322039.2018.1519898
Djojopranoto, R., & Mahadwartha, P. (2016). Pengujian bias perilaku : gambler ’ s fallacy , halo effect
, dan pengujian bias perilaku : gambler ’ s fallacy , halo effect , dan familiarity effect di pasar modal indonesia. Jurnal Akuntansi Dan Keuangan Indonesia, 13(2), 142–157. https://doi.org/10.21002/jaki.2016.08
Du,N.,Shelley,M.K.,Du,N.,& Shelley,M.K.(2014).ExploringAmbiguityandFamiliarityEffects inThe"EarningsGame"BetweenManagersandInvestorsExploringAmbiguityandFamiliarity Effects in The "Earnings Game" Between Managers and Investors. Journal of Behavioral Finance, 37–41.https://doi.org/10.1080/15427560.2014.877015
Falahati, Kazem. 2021. The Standard Model of Rational Risky Decision-Making. Journal of Risk and Financial Management 14: 158. https://doi.org/10.3390/jrfm14040158
Fan, Y. (2019). Does Adversity A ff ect Long-Term Financial Behaviour ? Evidence from China' s Rustication Programme ∗. Journal of Urban Economics, 103218.
https://doi.org/10.1016/j.jue.2019.103218
Garcia-merino, T., Mayoral, R., Santos, V., & Vallelado, E. (2011). Herding , information uncertainty and investors' cognitive profile. Qualitative Research in Financial, 3(1), 7–33. https://doi.org/10.1108/17554171111124595
Gavrilakis,N.,&Floros,C.(2020).Theimpactofheuristicandherdingbiasesonportfolioconstruction and performance : the case of Greece. Review of Behavioral Finance, (2). https://doi.org/10.1108/RBF-11-2020-0295
Goel, A., & Tripathi, V. (2021). Information asymmetry and stock returns, 18(1), 85–112. https://doi.org/10.1108/JAMR-05-2020-0084
Gong, P., & Dai, J. (2017). Monetary policy , exchange rate fl uctuation , and herding behavior in the stock market. Journal of Business Research, 76, 34–43. https://doi.org/10.1016/j.jbusres.2017.02.018
Gong, X., & Du, Z. (2020). Institutional Investor Information Sharing , Stock Market Extreme Risk , and Financial Systemic Risk. Complexity, 2020.
Guenther,C.,Johan,S.,&Schweizer,D.(2018).Isthecrowdsensitivetodistance ?—howinvestment decisions differ by investor type. Small Business Economic, 4, 5–28. https://doi.org/10.1007/s11187-016-9834-6
Hanna,A.(2018).Atop-downapproachtoidentifyingbullandbearmarketstates.InternationalReview of Financial Analysis, 55,93–110.
He,C.,Mau,K.,&Xu,M.(2021).TradeShocksandFirmsHiringDecisions :EvidencefromVacancy Postings of Chinese Firms in the Trade War ☆. Labour Economics, 71(June), 102021. https://doi.org/10.1016/j.labeco.2021.102021
Hunt, K. (2016). INVESTMENT RISK PROFILING : LESSONS FROM PSYCHOLOGY. Financial
Planning Research Journal, 1(1), 49–63.
Irshad, S., W. Badshah, and U. H. (2016). Effect of Representativeness Bias on Investment Decision Making Effect of Representativeness Bias on Investment Decision Making. Management and Administrative Sciences Review, 5(1), 26–30.
Istanbul, C., Yurttadur, M., & Ozcelik, H. (2019). Evaluation of the Financial Individual from Behavioral The Case of Istanbul 3rd vestors World Conference on Technology , Finance : ScienceDirect. Procedia Computer Science, 158, 761–765. https://doi.org/10.1016/j.procs.2019.09.112
Joni, J., Ahmed, K., & Hamilton, J. (2020). Politically connected boards , family business groups and fi rm performance Evidence from Indonesia. Journal of Accounting & Organizational Change, 16(1), 93–121. https://doi.org/10.1108/JAOC-09-2019-0091
Kahneman,D.,D.Lovallo,andO.S.(2011).ouMakeThatBigDecision….HarvardBusinessReview, (6), 51–60.
Khalil, M., Fuadi, R., Syariah, B. N. I., Syariah, B. M., Syariah, B. M., Syariah, B. R. I., … Syariah, B.
V. (2016). Analisis penggunaan metode risk profile , good corporate governance , earning , and capital ( rgec ) dalam mengukur kesehatan bank pada bank umum syariah di indonesia periode 2012-2014 keywords : rgec Method , Risk Base Bank Rating. Jurnal Ilmiah MahasiswaEkonomi Akuntansi,1(1).
Khan, M. H. (2014). An Empirical Investigation on Behavioral Determinants of Perceived Investment Performance ; Evidence from Karachi Stock Exchange. Research Journal of Finance and Accounting, 5(21), 129–138.
Kim, K. A., & Nofsinger, J. R. (2008). Behavioral finance in Asia, 16, 1–7. https://doi.org/10.1016/j.pacfin.2007.04.001
Kumar,A.,Badhani,K.N.,Bouri,E.,&Saeed,T.(2020).Herdingbehaviorinthecommoditymarkets of the Asia-Pacific region. Finance Research Letters, (July), 101813. https://doi.org/10.1016/j.frl.2020.101813
Kyriazis, N. A. (2020). Herding behaviour in digital currency markets : An integrated survey and empirical estimation. Heliyon, 6(8), 1–14. https://doi.org/10.1016/j.heliyon.2020.e04752
Leal, N. (2018). Risk profiling: perception and reality, (November 2009).
Liu, Y., Park, J. L., & Sohn, B. (2018). Foreign Investment in Emerging Markets: International Diversification or Familiarity Bias? Emerging Markets Finance and Trade, 54(10), 2169–2191. https://doi.org/10.1080/1540496X.2017.1369403
Madaan,G.,&Singh,S.(2019).AnAnalysisofBehavioralBiasesinInvestmentDecision-Making. International Journal of Financial Research, 10(4), 55 67.https://doi.org/10.5430/ijfr.v10n4p55
Marwan, A. (2002). Size Effect and Stock Behavior during the Expansion and Contraction Phases an Empirical Evidence from Indonesian Stock Market. Gadjah Mada International Journal of Business, 4(3), 361–371.
Mehmood, Y., & Hanif, W. (2014). Impact of Bullish and Bearish Market on Investor Sentiment.
International Journal of Innovation and Applied Studies, 9(1), 142–151.
Metwally, A. H. (2020). Does herding behaviour vary in bull and bear markets ? Perspectives from Doesherdingbehaviourvaryinbullandbearmarkets ?PerspectivesfromEgyptTarekEldomiaty
* Lina Ahmed Abdel-Wahab. Int. J. Behavioural Accounting and Finance, 6(1), 2016. https://doi.org/10.1504/IJBAF.2016.079876
Papadamou, S., Kyriazis, N. A., Tzeremes, P., & Corbet, S. (2021). Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets. Journal of Behavioral and Experimental Finance, 30, 100469. https://doi.org/10.1016/j.jbef.2021.100469
Parveen, S., Wajid, Z., Abdul, Q., & Jamil, S. (2020). Exploring market overreaction , investors' sentiments and investment decisions in an emerging stock market. Borsa Istanbul Review, 20(3), 224–235. https://doi.org/10.1016/j.bir.2020.02.002
Sawa, R. (2020). A Prospect Theory Nash Bargaining Solution and Its Stochastic Stability. Journal of Economic Behavior and Organization, (xxxx). https://doi.org/10.1016/j.jebo.2020.11.009
Sekaran, U. and R. B. (2015). Research Methods For Business By Uma Sekaran 6th Edition (6th ed., pp. 10–12). UK: John Wiley and Sons: Chichester.
Shanmuganathan, M. (2020). Behavioural finance in an era of artificial intelligence: Longitudinal case studyofrobo-advisorsininvestmentdecisions.JournalofBehavioralandExperimentalFinance, 100297.https://doi.org/10.1016/j.jbef.2020.100297
Steinberg, Laurence. 2013. The Influence of Neuroscience on US Supreme Court Decisions about Adolescents' Criminal Culpability. Nature Reviews: Neuroscience 14(7): 513–8. https://doi.org/10.1038/nrn3509.
Tayyab, M., Hassan, U., & Jamil, S. H. (2021). Investigative Study of Investor' s Herding Behavior During Bullish and Bearish Market : A Case of Pakistan Stock Exchange, 6(3), 17–25.
Touny,M.A.,&Shusha,A.(2016).TheAttitudinalDeterminantsofAdoptingtheHerdBehavior :An Applied Study on the Egyptian Exchange The Attitudinal Determinants of Adopting the Herd Behavior : An Applied Study on the Egyptian Exchange. Journal of Finance and Investment Analysis, 5(1),55–69.
Tuyon, J., & Ahmad, Z. (2016). Borsa _ Istanbul Review Behavioural finance perspectives on Malaysian stock market efficiency. Borsa Istanbul Review, 16(1), 43–61.
https://doi.org/10.1016/j.bir.2016.01.001
Wahyu,C.,&Rahayu,E.(2017).TheInfluenceofInformationFramingtowardsInvestorsReactionin Bullish and Bearish Market Condition : an Experiment Pengaruh Pembingkaian Informasi terhadap Reaksi Investor pada Kondisi Pasar Bullish dan Bearish : Sebuah Eksperimen. Jurnal Dinamika Manajemen, 8(2), 199–207.https://doi.org/10.15294/jdm.v8i2.12760
Wang, R. (2021). Technological Forecasting & Social Change Information asymmetry and the inefficiencyofinformalipstrategieswithinemploymentrelationships.TechnologicalForecasting & Social Change, 162(September 2020), 120335.https://doi.org/10.1016/j.techfore.2020.120335
Wijayanti, D., Suganda, T., & Thewelis, F. (2019). Gambler' s Fallacy as Behavioural Bias OfYoung Investor. Journal of Business & Behavioral Entrepreneurshio, 3(November 2019),72–80.
Yustina, A., & Gudono, G. (2017). Halo effect in subjective performance evaluation bias. Journal of Economics, Business, and Accountancy Ventura, 19(3), 393–404. https://doi.org/10.14414/jebav.v19i3.621
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