Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts
Stock market forecasting is an important and challenging process that influences investment decisions. This paper presents an experimental design that aims to measure the influence of the anchoring and adjustment heuristic and optimism bias in these forecasts. The study was conducted using informati...
- Autores:
-
Peña, Victor Alberto
Gómez-Mejía, Alina
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2019
- Institución:
- Universidad Católica de Colombia
- Repositorio:
- RIUCaC - Repositorio U. Católica
- Idioma:
- eng
- OAI Identifier:
- oai:repository.ucatolica.edu.co:10983/25609
- Acceso en línea:
- https://hdl.handle.net/10983/25609
- Palabra clave:
- MERCADO DE VALORES
FINANZAS CONDUCTUALES
HEURÍSTICA DE ANCLAJE Y AJUSTE
JUICIO
PRONÓSTICO FINANCIERO
SESGO DE OPTIMISMO
- Rights
- openAccess
- License
- Copyright, Universidad Católica de Colombia, 2019
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UCATOLICA2_ab6a0815b97d07bd7bb7cd978e42f8fe |
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UCATOLICA2 |
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|
| dc.title.spa.fl_str_mv |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| dc.title.alternative.spa.fl_str_mv |
Efecto de la heurística de anclaje y ajuste y el sesgo de optimismo en los pronósticos del mercado de valores Efeito da heurística da ancoragem e do ajustamento e o viés de otimismo nas previsões do mercado de valores |
| title |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| spellingShingle |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts MERCADO DE VALORES FINANZAS CONDUCTUALES HEURÍSTICA DE ANCLAJE Y AJUSTE JUICIO PRONÓSTICO FINANCIERO SESGO DE OPTIMISMO |
| title_short |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| title_full |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| title_fullStr |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| title_full_unstemmed |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| title_sort |
Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts |
| dc.creator.fl_str_mv |
Peña, Victor Alberto Gómez-Mejía, Alina |
| dc.contributor.author.none.fl_str_mv |
Peña, Victor Alberto Gómez-Mejía, Alina |
| dc.subject.armarc.none.fl_str_mv |
MERCADO DE VALORES |
| topic |
MERCADO DE VALORES FINANZAS CONDUCTUALES HEURÍSTICA DE ANCLAJE Y AJUSTE JUICIO PRONÓSTICO FINANCIERO SESGO DE OPTIMISMO |
| dc.subject.proposal.spa.fl_str_mv |
FINANZAS CONDUCTUALES HEURÍSTICA DE ANCLAJE Y AJUSTE JUICIO PRONÓSTICO FINANCIERO SESGO DE OPTIMISMO |
| description |
Stock market forecasting is an important and challenging process that influences investment decisions. This paper presents an experimental design that aims to measure the influence of the anchoring and adjustment heuristic and optimism bias in these forecasts. The study was conducted using information from the S&P MILA Pacific Alliance Select financial index; this was presented to 670 students from the cities of Concepción (Chile), Cali (Colombia), and Lima (Peru). Data was collected and presented through an instrument that asked participants to make a forecast judgment of the said financial index, based on the presented graphics, representing a year, a month, a week, and the last closing value of the index. Thus, it was possible to measure the influence of the anchor and adjustment heuristic in order to establish whether the presence of an initial value affected the financial forecast. Similarly, the study sought to determine whether the judgment issued was biased toward an optimistic or pessimistic position, thereby proving the presence of an error or expectation bias, known as optimism bias. The results were analyzed using the least squares method, and the data panel confirmed that the anchoring and adjustment heuristic influences the forecast of the financial index used in the study. Similarly, the presence of optimism bias in the cognitive process of forecasting in finance was inferred. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019-07 |
| dc.date.accessioned.none.fl_str_mv |
2021-02-26T19:21:59Z |
| dc.date.available.none.fl_str_mv |
2021-02-26T19:21:59Z |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
publishedVersion |
| dc.identifier.citation.none.fl_str_mv |
Victor-Alberto, P., & Gómez Mejía, A. (2019). Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts. Revista de Finanzas y Política Económica, 11(2), 383-405. |
| dc.identifier.issn.none.fl_str_mv |
2248-6046 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10983/25609 |
| identifier_str_mv |
Victor-Alberto, P., & Gómez Mejía, A. (2019). Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts. Revista de Finanzas y Política Económica, 11(2), 383-405. 2248-6046 |
| url |
https://hdl.handle.net/10983/25609 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationendpage.spa.fl_str_mv |
405 |
| dc.relation.citationissue.spa.fl_str_mv |
2 |
| dc.relation.citationstartpage.spa.fl_str_mv |
383 |
| dc.relation.citationvolume.spa.fl_str_mv |
11 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Revista Finanzas y Política Económica |
| dc.relation.references.spa.fl_str_mv |
Aguiar, F. (2004). Teoría de la decisión e incertidumbre: modelos normativos y descriptivos. Empiria: Revista de Metodología de Ciencias Sociales, (8), 139-160. https://doi.org//10.5944/empiria.8.2004.982 Amir, E., & Ganzach, Y. (1998). Overreaction and underreaction in analysts’ forecasts. Journal of Economic Behavior & Organization, 37(3), 333-347. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.10 24.5590&rep=rep1&type=pdf Ariely, D., Loewenstein, G., & Prelec, D. (2003). «Coherent Arbitrariness»: Stable Demand Curves Without Stable Preferences. The Quarterly Journal of Economics, 118(1), 73-106. https://doi. org/10.1162/00335530360535153 Armor, D. A., & Taylor, S. E. (2002). When predictions fail: The dilemma of unrealistic optimism. In Gilovich, T., Griffin, D. W., & Kahneman, D. (eds.). Heuristics and biases: The psychology of intuitive judgment. (pp. 334-347). New York: Cambridge University Press. https://doi.org//10.1017/CBO9780511808098.021 Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261-292. http://dx.doi.org/10.2139/ssrn.139415 Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economic of Finance, 1052-1121. http://houdekpetr.cz/!data/public_html/papers/economics_psychology/Barberis%20Thaler%20 2003.pdf Ben-David, I., & Hirshleifer, D. (2012). Are investors really reluctant to realize their losses? Trading responses to past returns and the disposition effect. Review of Financial Studies. 25(8), 2485-2532. https:// doi.org/10.1093/rfs/hhs077 Blankenship, K. L., Wegener, D. T., Petty, R. E., Detweiler-Bedell, B., & Macy, C. L. (2008). Elaboration and consequences of anchored estimates: An attitudinal perspective on numerical anchoring. Journal of Experimental Social Psychology, 44(6), 1465-1476. https://doi.org/10.1016/j.jesp.2008.07.005 Buehler, R., Griffin, D., & Ross, M. (1994). Exploring the «planning fallacy»: Why people underestimate their task completion times. Journal of Personality and Social Psychology, 67(3), 366-381. https://doi. org/10.1037/0022-3514.67.3.366 Cadet, B., & Chasseigne, G. (2009). Psychologie du jugement et de la décision: Des modèles aux applications. (A. Editore, Ed.) (1st ed). Paris: De Boeck Universite. Campbell, S. D., & Sharpe, S. A. (2009). Anchoring bias in consensus forecasts and its effect on market prices. Journal of Financial and Quantitative Analysis, 44(2), 369-390. https://doi.org/10.1017/ S0022109009090127 Wansink, B., Kent, R. J., & Hoch, S. J. (1998). An Anchoring and Adjustment Model of Purchase Quantity Decisions. Journal of Marketing Research, 35(1), 71. https://doi.org/10.2307/3151931 Weinstein, N. D. (1980). Unrealistic optimism about future life events. Journal of Personality and Social Psychology, 39(5), 806-820. https://doi.org/10.1037/0022-3514.39.5.806 Westerhoff, F. (2003). Anchoring and Psychological Barriers in Foreign Exchange Markets. Journal of Behavioral Finance, 4(2), 65-70. https://doi.org/10.1207/S15427579JPFM0402_03 Wilke, A., & Mata, R. (2012). Cognitive Bias. In Encyclopedia of human behavior (pp. 531-535). London: Academic Press. Working, H. (1934). A Random-Difference Series for Use in the Analysis of Time Series. Journal of the American Statistical Association, 29(185), 11-24. https://www.tandfonline.com/doi/abs/10.1080/0162145 9.1934.10502683 Caputo, A. (2014). Relevant information, personality traits and anchoring effect. International Journal of Management and Decision Making, 13(1), 62-76. https://doi.org/10.1504/ijmdm.2014.058470 Cen, L., Hilary, G., & Wei, K. C. J. (2013). The role of anchoring bias in the equity market: Evidence from analysts’ earnings forecasts and stock returns. Journal of Financial and Quantitative Analysis, 48(1), 47-76. https://doi.org/10.1017/S002210901200060 Chambers, J. R., & Windschitl, P. D. (2004). Biases in Social Comparative Judgments: The Role of Nonmotivated Factors in Above-Average and Comparative-Optimism Effects. Psychological Bulletin, 130(5), 813-838. https://doi.org/10.1037/0033-2909.130.5.813 Chang, E. C., Lin, T. C., Luo, Y., & Ren, J. (2019). Ex-day returns of stock distributions: An anchoring explanation. Management Science. https://doi.org/10.1287/mnsc.2017.2843 Chapman, G. B., & Johnson, E. J. (1999). Anchoring, activation, and the construction of values. Organizational Behavior and Human Decision Processes, 79(2), 115-153. https://doi.org/10.1006/ obhd.1999.2841 Chapman, G. B., & Johnson, E. J. (2002). Incorporating the Irrelevant: Anchors in Judgments of Belief and Value. In Gilovich, T., Griffin, D. W., & Kahneman, D. (eds.). Heuristics and Biases: The Psychology of Intuitive Judgment (pp. 120-138). New York: Cambridge University Press. https://doi.org/dx.doi.org/10.1017/ CBO9780511808098.008 Cowles, A., & Jones, H. E. (1937). Some A Posteriori Probabilities in Stock Market Action. Econometrica, 5(3), 280-294. https://doi.org/10.2307/1905515 Daniel, K., Hirshleifer, D., & Teoh, S. H. (2002). Investor psychology in capital markets: evidence and policy implication. Journal of Monetary Economics, 49(1), 139-209. https://doi.org/10.1016/ S0304-3932(01)0001-5 De Bondt, W. F. M., & Thaler, R. (1985). Does the Stock Market Overreact? Journal of Finance, 40(3), 793-805. https://doi.org/10.1111/j.1540-6261.1985.tb05004.x Duclos, R. (2014). The psychology of investment behavior: (De)biasing financial decision-making one graph at a time. Journal of Consumer Psychology, 25(2), 317-325. https://doi.org/10.1016/j.jcps.2014.11.005 Ductor, L., & Leiva-Leon, D. (2016). Dynamics of global business cycle interdependence. Journal of International Economics, 102, 110-127. https://doi.org/10.1016/j.jinteco.2016.07.003 Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral Decision Theory: Processed of Judgment and Choice. Annual Review of Psychology, 32, 53-88. https://doi.org/10.1146/annurev.ps.32.020181.000413 Englich, B., & Soder, K. (2009). Moody experts—How mood and expertise influence judgmental anchoring. Judgment and Decision Making, 4(1), 41-50. https://psycnet.apa.org/record/2009-02933-004 Epley, N., & Gilovich, T. (2001). Putting adjustment back in the anchoring and adjustment heuristic: Differential Processing of Self-Generated and Experimenter-Provided Anchors. Psychological Science, 12(5), 391-396. https://doi.org/10.1111/1467-9280.00372 Epley, N., & Gilovich, T. (2006). The Anchoring-and- Adjustment Heuristic Why the Adjustments. Psychological Science, 17(4), 311-318. https://doi.org/10.1111/j.1467-9280.2006.01704.x Fama, E. (1997). Market Efficiency, Long-Term Returns, and Behavioral Finance. Journal of Financial Economics, 49(3), 283-306. https://pdfs.semanticscholar.org/0187/0cadeddf6c98ece3b878ce168c86636 a5c4b.pdf Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383. https://doi.org/10.2307/2325486 Festinger, L. (1957). A Theory of Cognitive Dissonance. Stanford University Press. Fisher, K. L., & Statman, M. (2000). Cognitive Biases in Market Forecasts. The Journal of Portfolio Management, 27(1), 72-81. https://doi.org/10.3905/jpm.2000.319785 Forbes, W., Hudson, R., Skerratt, L., & Soufian, M. (2015). Which heuristics can aid financial-decisionmaking? International Review of Financial Analysis, 42, 199-210. Galinsky, A. D., & Mussweiler, T. (2001). First offers as anchors: The role of perspective-taking and negotiator focus. Journal of Personality and Social Psychology, 81(4), 657-669. https://doi. org/10.1037/0022-3514.81.4.657 George, T. J., & Hwang, C. Y. (2004). The 52-week high and momentum investing. Journal of Finance, 59(5), 2145-2176. https://doi.org/10.1111/j.1540-6261.2004.00695.x Gigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451–482. https://doi.org/10.1146/annurev-psych-120709-145346 Giordani, P., & Söderlind, P. (2006). Is there evidence of pessimism and doubt in subjective distributions? Implications for the equity premium puzzle. Journal of Economic Dynamics and Control, 30(6), 1027-1043. https://doi.org/10.1016/j.jedc.2005.05.001 Griffin, D., & Tversky, A. (1992). The weighing of evidence and the determinats of confidence. Cognitive Psychology, 24, 411-435. https://doi.org/10.1016/0010-0285(92)90013-R Hastie, R., & Dawes, R. M. (2010). Rational Choice in an Uncertain World: The Psychology of Judgement and Decision Making. SAGE Publications. Helweg-Larsen, M., & Shepperd, J. A. (2001). Do Moderators of the Optimistic Bias Affect Personal or Target Risk Estimates? A Review of the Literature. Personality and Social Psychology Review, 5(1), 74-95. https://doi.org/10.1207/S15327957PSPR0501_5 Hilary, G., & Hsu, C. (2011). Endogenous overconfidence in managerial forecasts. Journal of Accounting and Economics, 51(3), 300-313. https://doi.org/10.1016/j.jacceco.2011.01.002 Hirshleifer, D. (2015). Behavioral Finance. Annual Review of Financial Economics, 7(1), 133-159. https:// doi.org/10.1146/annurev-financial-092214-043752 Hysenbelli, D., Rubaltelli, E., & Rumiati, R. (2013). Others’ opinions count, but not all of them: anchoring to ingroup versus outgroup members’ behavior in charitable giving. Judgment and Decision Making, 8(6), 678-690. http://journal.sjdm.org/12/121219/jdm121219.pdf Jefferson, A., Bortolotti, L., & Kuzmanovic, B. (2017). What is unrealistic optimism? Consciousness and Cognition, 50, 3-11. https://doi.org/10.1016/j.concog.2016.10.005 Kahneman, D. (2003). Maps of Bounded Rationality: Psychology for Behavioral Economics. American Economic Review, 93(5), 1449-1475. https://doi.org/10.1257/000282803322655392 Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux. Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. The Journal of Economic Perspectives, 5(1), 193-206. http://pubs.aeaweb.org/ doi/10.1257/jep.5.1.193. Kahneman, D., & Riepe, M. W. (1998). Aspects of Investor Psychology. The Journal of Portfolio Management, 24(4), 52-65. https://doi.org/10.3905/jpm.1998.409643 Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgement Under Uncertainty: Heuristics and Biases. Cambridge University Press. Kahneman, D., & Tversky, A. (1973). On the psychology of prediction. Psychological Review, 80(4), 237- 251. https://doi.org/10.1037/h0034747 Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263. https://doi.org/10.2307/1914185 Kaustia, M., Alho, E., & Puttonen, V. (2008). How Much Does Expertise Reduce Behavioral Biases? The Case of Anchoring Effects in Stock Return Estimates. Financial Management, 37(3), 391-412. https://doi. org/10.1111/j.1755-053X.2008.00018.x Kendall, M. G., & Hill, A. B. (1953). The analysis of economic time-series-Part I: Prices. Journal of the Royal Statistical Society Series A, 116(1), 11. https://doi.org/10.2307/2980947 Kinari, Y. (2016). Properties of expectation biases: Optimism and overconfidence. Journal of Behavioral and Experimental Finance, 10(1), 32-49. https://doi.org/10.1016/j.jbef.2016.02.003 Krch, D. (2011). Cognitive Processing. In J. S. Kreutzer, J. DeLuca, & B. Caplan (eds.). Encyclopedia of Clinical Neuropsychology. (p. 627). New York, NY: Springer New York. Langer, E. J. (1975). The illusion of control. Journal of Personality and Social Psychology, 32(2), 311-328. https://doi.org/10.1037/0022-3514.32.2.311 Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998). All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects. Organizational Behavior and Human Decision Processes, 76(2), 149-188. https://doi.org/10.1006/obhd.1998.2804 Liao, L.-C., Chou, R. Y., & Chiu, B. (2013). Anchoring effect on foreign institutional investors’ momentum trading behavior: Evidence from the Taiwan stock market. The North American Journal of Economics and Finance, 26, 72-91. https://doi.org/10.1016/j.najef.2013.07.001 Locke, J. (1796). An Essay Concerning Human Understanding. The Philosophical Review. 3(5), 601-605. https://openpublishing.psu.edu/locke/bib/ch0e.html Lovallo, D., & Kahneman, D. (2003). Delusions of Success: How Optimism Undermines Executives’ Decisions. Harvard Business Review. 81(7), 56-63, 117. https://www.ncbi.nlm.nih.gov/pubmed/12858711 Lucas, R. E. J. (1978). Asset Prices in an Exchange Economy. Econometrica, 46(6), 1429-1445. http:// www.its.caltech.edu/~pbs/expfinance/Readings/Lucas1978.pdf Lucey, M. E., & O’Connor, F. A. (2016). Mind the gap: Psychological barriers in gold and silver prices. Finance Research Letters, 17, 135-140. https://doi.org/10.1016/j.frl.2016.03.009 March, J. G. (1978). Bounded Rationality, Ambiguity, and the Engineering of Choice. The Bell Journal of Economics, 9(2), 587. https://www.jstor.org/stable/3003600 Marsden, A., Veeraraghavan, M., & Ye, M. (2008). Heuristics of Representativeness, Anchoring and Adjustment, and Leniency: Impact on Earnings’ Forecasts by Australian Analysts. Quarterly Journal of Finance & Accounting, 47(2), 83-102. https://doi.org/https://doi.org/10.2139/ssrn.996514 McElroy, T., & Dowd, K. (2007). Susceptibility to anchoring effects: How openness-to-experience influences responses to anchoring cues. Judgment and Decision Making, 2(1), 48-53. http://journal.sjdm. org/jdm06143.pdf Mintzberg, H., Raisinghani, D., & Theoret, A. (1976). The Structure of «Unstructured» Decision Processes. Administrative Science Quarterly, 21(2), 246. https://doi.org/10.2307/2392045 Montier, J. (2013). Behavioural Investing: A Practitioner’s Guide to Applying Behavioural Finance. Chichester, England: John Wiley & Sons. Mullainathan, S., & Thaler, R. (2000). Behavioral Economics. the National Bureau of Economic Research (Vol. 3). Cambridge, MA. https://doi.org/10.3386/w7948 Mussweiler, T., Strack, F., & Pfeiffer, T. (2000). Overcoming the Inevitable Anchoring Effect: Considering the Opposite Compensates for Selective Accessibility. Personality and Social Psychology Bulletin, 26(9), 1142-1150. https://doi.org/10.1177/01461672002611010 Newell, B. R., & Bröder, A. (2008). Cognitive processes, models and metaphors in decision research. Judgment and Decision Making, 3(3), 195-204. http://journal.sjdm.org/bn1.pdf Northcraft, G. B., & Neale, M. A. (1987). Experts, amateurs, and real estate: An anchoring-and-adjustment perspective on property pricing decisions. Organizational Behavior and Human Decision Processes, 39(1), 84-97. https://doi.org/10.1016/0749-5978(87)90046-X Odean, T. (1998). Are Investors Reluctant to Realize Their Losses? The Journal of Finance, 53(5), 1775- 1798. https://doi.org/10.1111/0022-1082.00072 Pachur, T., & Bröder, A. (2013). Judgment: a cognitive processing perspective. Wiley Interdisciplinary Reviews: Cognitive Science, 4(6), 665-681. https://doi.org/10.1002/wcs.1259 Plous, S. (1989). Thinking the Unthinkable: The Effects of Anchoring on Likelihood Estimates of Nuclear War. Journal of Applied Social Psychology, 19(1), 67-91. https://doi.org/10.1111/j.1559-1816.1989.tb01221.x Pompian, M. M. (2012). Behavioral Finance and Wealth Management : How to Build Optimal Portfolios That Account for Investor Biases (2.a ed.). Chichester, England: John Wiley & Sons. Puri, M., & Robinson, D. (2007). Optimism and economic choice. Journal of Financial Economics, 86(1), 71-99. https://doi.org/10.1016/j.jfineco.2006.09.003 Rau, R. (2011). Market Inefficiency. In Baker, H. K., & Nofsinger, J. R. (eds.). Behavioral Finance: Investors, Corporations, and Markets (pp. 331-349). Hoboken, New Jersey: John Wiley & Sons. Ricciardi, V. (2008). The Psychology of Risk: The Behavioral Finance Perspective. In Fabozzi, F. J. (ed.). The Handbook of Finance. Vol. 2. Investment Management and Financial Management. (pp. 85-111). London: John Wiley & Sons. Ricciardi, V., & Simon, H. K. (2000). What is Behavioral Finance? Business, Education & Technology Journal, 2(2), 1-9. https://ssrn.com/abstract=256754 Ritter, J. R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11(4), 429-437. https://doi. org/10.1016/S0927-538X(03)00048-9 S&P Global. (2019). S&P MILA Indices Methodology. https://us.spindices.com/documents/methodologies/ methodology-sp-mila-indices.pdf?force_download=true Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59. https://doi.org/10.1007/BF00055564 Schwert, G. W. (2003). Anomalies and Market Efficiency. Handbook of the Economics of Finance, 1, 939- 974. http://schwert.ssb.rochester.edu/hbfech15.pdf Sharot, T. (2011). The optimism bias. Current Biology, 21(23), R941-R945. https://doi.org/10.1016/j. cub.2011.10.030 Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007). Neural mechanisms mediating optimism bias. Nature, 450(November), 102-105. https://www.ncbi.nlm.nih.gov/pubmed/17960136 Shefrin, H., & Statman, M. (2000). Behavioral Portfolio Theory. The Journal of Financial and Quantitative Analysis, 35(2), 127. https://doi.org/10.2307/2676187 Shepperd, J. A., Carroll, P., Grace, J., & Terry, M. (2002). Exploring the Causes of Comparative Optimism. Psychologica Belgica, 42, 65-98. https://psycnet.apa.org/record/2002-06881-007 Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance The 1980s and Excess Volatility. Journal of Economic Perspectives, 17(1), 83-104. https://doi.org/10.1257/089533003321164967 Shin, H., & Park, S. (2018). Do foreign investors mitigate anchoring bias in stock market? Evidence based on post-earnings announcement drift. Pacific-Basin Finance Journal, 48(December 2016), 224-240. https:// doi.org/10.1016/j.pacfin.2018.02.008 Simon, H. A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69(1), 99. https://doi.org/10.2307/1884852 Simon, H. A. (1957). Models of man; social and rational. Operations Research (Vol. 5). Oxford, England: Wiley Simon, H. A. (1972). Theories of Bounded Rationality. In Decision and Organization: A volume in honor of Jacob Marschak (pp. 161-176). North-Holland Publishing Company. Slovic, P., & Lichtenstein, S. (1971). Comparison of Bayesian and regression approaches to the study of information processing in judgment. Organizational Behavior and Human Performance, 6(6), 649-744. https://doi.org/10.1016/0030-5073(71)90033-X Slovic, Paul. (1972). Psychological Study of Human Judgment: Implications for Investment Decision Making. Journal of Finance, 27(4), 779-799. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-6261.1972. tb01311.x Staněk, R. (2017). Home bias in sport betting : Evidence from Czech betting market. Judgment and Decision Making, 12(2), 168-172. http://journal.sjdm.org/16/16824/jdm16824.html7 Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization, 1(1), 39-60. https://doi.org/10.1016/0167-2681(80)90051-7 Thaler, R., & Sunstein, C. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness (revised). Penguin UK. Thompson, S. C., Armstrong, W., & Thomas, C. (1998). Illusions of Control, Underestimations, and Accuracy: A Control Heuristic Explanation. Psychological Bulletin, 123(2), 143-161. https://doi. org/10.1037/0033-2909.123.2.143 Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124-1131. https://doi.org/10.1126/science.185.4157.1124 Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458. https://doi.org/10.1126/science.7455683 Tversky, A., & Kahneman, D. (1992). Advances in Prospect Theory: Cumulative Representation of Uncertainty. Journal of Risk & Uncertainty, 5(4), 297-323. https://link.springer.com/article/10.1007/ BF00122574 Von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press. |
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Peña, Victor Alberto80b44e0d-12e4-40e7-b45e-e1f7caa7b7a6-1Gómez-Mejía, Alinaf5cd4eb7-0a6d-4c28-b575-42d841457741-12021-02-26T19:21:59Z2021-02-26T19:21:59Z2019-07Stock market forecasting is an important and challenging process that influences investment decisions. This paper presents an experimental design that aims to measure the influence of the anchoring and adjustment heuristic and optimism bias in these forecasts. The study was conducted using information from the S&P MILA Pacific Alliance Select financial index; this was presented to 670 students from the cities of Concepción (Chile), Cali (Colombia), and Lima (Peru). Data was collected and presented through an instrument that asked participants to make a forecast judgment of the said financial index, based on the presented graphics, representing a year, a month, a week, and the last closing value of the index. Thus, it was possible to measure the influence of the anchor and adjustment heuristic in order to establish whether the presence of an initial value affected the financial forecast. Similarly, the study sought to determine whether the judgment issued was biased toward an optimistic or pessimistic position, thereby proving the presence of an error or expectation bias, known as optimism bias. The results were analyzed using the least squares method, and the data panel confirmed that the anchoring and adjustment heuristic influences the forecast of the financial index used in the study. Similarly, the presence of optimism bias in the cognitive process of forecasting in finance was inferred.Resumen: La previsión del mercado de valores es un proceso importante y desafiante que influye en las decisiones de inversión. Este artículo presenta un diseño experimental que tiene como objetivo medir la influencia de la heurística de anclaje y ajuste y el sesgo de optimismo en los pronósticos del mercado de valores. El estudio se realizó utilizando información del índice financiero S&P MILA Pacific Alliance Select. Este fue presentado a 670 estudiantes de las ciudades de Concepción (Chile), Cali (Colombia) y Lima (Perú). Los datos fueron recopilados y presentados a través de un instrumento que pedía a los participantes que hicieran un juicio de pronóstico del dicho índice financiero con base en los gráficos presentados, representando un año, un mes, una semana y el último valor de cierre del índice. De esta manera, era posible medir la influencia de la heurística de anclaje y ajuste para establecer si la presencia de un valor inicial afectaba el pronóstico financiero. Además, el estudio buscó determinar si el juicio emitido estaba sesgado hacia una posición optimista o pesimista, demostrando así la presencia de un error o sesgo de expectativa, conocido como sesgo de optimismo. Los resultados se analizaron usando el método de mínimos cuadrados, y el panel de datos confirmó que la heurística de anclaje y ajuste influye en el pronóstico del índice financiero utilizado en el estudio. Del mismo modo, se infirió la presencia de sesgo de optimismo en el proceso cognitivo del pronóstico financiero.Resumo: A previsão do mercado de valores é um processo importante e desafiador que influencia nas decisões de investimento. Este artigo apresenta um desenho experimental que tem como objetivo medir a influência da heurística da ancoragem e do ajustamento, bem como o viés de otimismo nas previsões do mercado de valores. Este estudo foi realizado com base na informação do índice financeiro S&P MILA Pacific Alliance Select, o qual foi apresentado a 670 estudantes de Concepción (Chile), Cali (Colômbia) e Lima (Peru). Os dados foram reunidos e apresentados por meio de um instrumento que pedia aos participantes que emitissem um parecer de previsão desse índice financeiro a partir dos gráficos apresentados, que representavam um ano, um mês, uma semana e o último valor do fechamento do índice. Desse modo, era possível medir a influência da heurística da ancoragem e do ajustamento para estabelecer se a presença de um valor inicial afetava a previsão financeira. Além disso, o estudo pretendeu determinar se o parecer emitido continha um viés otimista ou pessimista, o que demonstrou a presença de um erro ou viés de expectativa, conhecido como “viés de otimismo”. Os resultados foram analisados com o método de mínimos quadrados, e o painel de dados confirmou que a heurística da ancoragem e do ajustamento influencia na previsão do índice financeiro utilizado no estudo. Assim, inferiu-se a presença de viés de otimismo no processo cognitivo da previsão financeira.23 páginasapplication/pdfVictor-Alberto, P., & Gómez Mejía, A. (2019). Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts. Revista de Finanzas y Política Económica, 11(2), 383-405.2248-6046https://hdl.handle.net/10983/25609engUniversidad Católica de Colombia. Facultad de Ciencias Económicas y AdministrativasBogotá405238311Revista Finanzas y Política EconómicaAguiar, F. (2004). Teoría de la decisión e incertidumbre: modelos normativos y descriptivos. Empiria: Revista de Metodología de Ciencias Sociales, (8), 139-160. https://doi.org//10.5944/empiria.8.2004.982Amir, E., & Ganzach, Y. (1998). Overreaction and underreaction in analysts’ forecasts. Journal of Economic Behavior & Organization, 37(3), 333-347. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.10 24.5590&rep=rep1&type=pdfAriely, D., Loewenstein, G., & Prelec, D. (2003). «Coherent Arbitrariness»: Stable Demand Curves Without Stable Preferences. The Quarterly Journal of Economics, 118(1), 73-106. https://doi. org/10.1162/00335530360535153Armor, D. A., & Taylor, S. E. (2002). When predictions fail: The dilemma of unrealistic optimism. In Gilovich, T., Griffin, D. W., & Kahneman, D. (eds.). Heuristics and biases: The psychology of intuitive judgment. (pp. 334-347). New York: Cambridge University Press. https://doi.org//10.1017/CBO9780511808098.021Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly Journal of Economics, 116(1), 261-292. http://dx.doi.org/10.2139/ssrn.139415Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. Handbook of the Economic of Finance, 1052-1121. http://houdekpetr.cz/!data/public_html/papers/economics_psychology/Barberis%20Thaler%20 2003.pdfBen-David, I., & Hirshleifer, D. (2012). Are investors really reluctant to realize their losses? Trading responses to past returns and the disposition effect. Review of Financial Studies. 25(8), 2485-2532. https:// doi.org/10.1093/rfs/hhs077Blankenship, K. L., Wegener, D. T., Petty, R. E., Detweiler-Bedell, B., & Macy, C. L. (2008). Elaboration and consequences of anchored estimates: An attitudinal perspective on numerical anchoring. Journal of Experimental Social Psychology, 44(6), 1465-1476. https://doi.org/10.1016/j.jesp.2008.07.005Buehler, R., Griffin, D., & Ross, M. (1994). Exploring the «planning fallacy»: Why people underestimate their task completion times. Journal of Personality and Social Psychology, 67(3), 366-381. https://doi. org/10.1037/0022-3514.67.3.366Cadet, B., & Chasseigne, G. (2009). Psychologie du jugement et de la décision: Des modèles aux applications. (A. Editore, Ed.) (1st ed). Paris: De Boeck Universite.Campbell, S. D., & Sharpe, S. A. (2009). Anchoring bias in consensus forecasts and its effect on market prices. Journal of Financial and Quantitative Analysis, 44(2), 369-390. https://doi.org/10.1017/ S0022109009090127Wansink, B., Kent, R. J., & Hoch, S. J. (1998). An Anchoring and Adjustment Model of Purchase Quantity Decisions. Journal of Marketing Research, 35(1), 71. https://doi.org/10.2307/3151931Weinstein, N. D. (1980). Unrealistic optimism about future life events. Journal of Personality and Social Psychology, 39(5), 806-820. https://doi.org/10.1037/0022-3514.39.5.806Westerhoff, F. (2003). Anchoring and Psychological Barriers in Foreign Exchange Markets. Journal of Behavioral Finance, 4(2), 65-70. https://doi.org/10.1207/S15427579JPFM0402_03Wilke, A., & Mata, R. (2012). Cognitive Bias. In Encyclopedia of human behavior (pp. 531-535). London: Academic Press.Working, H. (1934). A Random-Difference Series for Use in the Analysis of Time Series. Journal of the American Statistical Association, 29(185), 11-24. https://www.tandfonline.com/doi/abs/10.1080/0162145 9.1934.10502683Caputo, A. (2014). Relevant information, personality traits and anchoring effect. International Journal of Management and Decision Making, 13(1), 62-76. https://doi.org/10.1504/ijmdm.2014.058470Cen, L., Hilary, G., & Wei, K. C. J. (2013). The role of anchoring bias in the equity market: Evidence from analysts’ earnings forecasts and stock returns. Journal of Financial and Quantitative Analysis, 48(1), 47-76. https://doi.org/10.1017/S002210901200060Chambers, J. R., & Windschitl, P. D. (2004). Biases in Social Comparative Judgments: The Role of Nonmotivated Factors in Above-Average and Comparative-Optimism Effects. Psychological Bulletin, 130(5), 813-838. https://doi.org/10.1037/0033-2909.130.5.813Chang, E. C., Lin, T. C., Luo, Y., & Ren, J. (2019). Ex-day returns of stock distributions: An anchoring explanation. Management Science. https://doi.org/10.1287/mnsc.2017.2843Chapman, G. B., & Johnson, E. J. (1999). Anchoring, activation, and the construction of values. Organizational Behavior and Human Decision Processes, 79(2), 115-153. https://doi.org/10.1006/ obhd.1999.2841Chapman, G. B., & Johnson, E. J. (2002). Incorporating the Irrelevant: Anchors in Judgments of Belief and Value. In Gilovich, T., Griffin, D. W., & Kahneman, D. (eds.). Heuristics and Biases: The Psychology of Intuitive Judgment (pp. 120-138). New York: Cambridge University Press. https://doi.org/dx.doi.org/10.1017/ CBO9780511808098.008Cowles, A., & Jones, H. E. (1937). Some A Posteriori Probabilities in Stock Market Action. Econometrica, 5(3), 280-294. https://doi.org/10.2307/1905515Daniel, K., Hirshleifer, D., & Teoh, S. H. (2002). Investor psychology in capital markets: evidence and policy implication. Journal of Monetary Economics, 49(1), 139-209. https://doi.org/10.1016/ S0304-3932(01)0001-5De Bondt, W. F. M., & Thaler, R. (1985). Does the Stock Market Overreact? Journal of Finance, 40(3), 793-805. https://doi.org/10.1111/j.1540-6261.1985.tb05004.xDuclos, R. (2014). The psychology of investment behavior: (De)biasing financial decision-making one graph at a time. Journal of Consumer Psychology, 25(2), 317-325. https://doi.org/10.1016/j.jcps.2014.11.005Ductor, L., & Leiva-Leon, D. (2016). Dynamics of global business cycle interdependence. Journal of International Economics, 102, 110-127. https://doi.org/10.1016/j.jinteco.2016.07.003Einhorn, H. J., & Hogarth, R. M. (1981). Behavioral Decision Theory: Processed of Judgment and Choice. Annual Review of Psychology, 32, 53-88. https://doi.org/10.1146/annurev.ps.32.020181.000413Englich, B., & Soder, K. (2009). Moody experts—How mood and expertise influence judgmental anchoring. Judgment and Decision Making, 4(1), 41-50. https://psycnet.apa.org/record/2009-02933-004Epley, N., & Gilovich, T. (2001). Putting adjustment back in the anchoring and adjustment heuristic: Differential Processing of Self-Generated and Experimenter-Provided Anchors. Psychological Science, 12(5), 391-396. https://doi.org/10.1111/1467-9280.00372Epley, N., & Gilovich, T. (2006). The Anchoring-and- Adjustment Heuristic Why the Adjustments. Psychological Science, 17(4), 311-318. https://doi.org/10.1111/j.1467-9280.2006.01704.xFama, E. (1997). Market Efficiency, Long-Term Returns, and Behavioral Finance. Journal of Financial Economics, 49(3), 283-306. https://pdfs.semanticscholar.org/0187/0cadeddf6c98ece3b878ce168c86636 a5c4b.pdfFama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383. https://doi.org/10.2307/2325486Festinger, L. (1957). A Theory of Cognitive Dissonance. Stanford University Press.Fisher, K. L., & Statman, M. (2000). Cognitive Biases in Market Forecasts. The Journal of Portfolio Management, 27(1), 72-81. https://doi.org/10.3905/jpm.2000.319785Forbes, W., Hudson, R., Skerratt, L., & Soufian, M. (2015). Which heuristics can aid financial-decisionmaking? International Review of Financial Analysis, 42, 199-210.Galinsky, A. D., & Mussweiler, T. (2001). First offers as anchors: The role of perspective-taking and negotiator focus. Journal of Personality and Social Psychology, 81(4), 657-669. https://doi. org/10.1037/0022-3514.81.4.657George, T. J., & Hwang, C. Y. (2004). The 52-week high and momentum investing. Journal of Finance, 59(5), 2145-2176. https://doi.org/10.1111/j.1540-6261.2004.00695.xGigerenzer, G., & Gaissmaier, W. (2011). Heuristic decision making. Annual Review of Psychology, 62(1), 451–482. https://doi.org/10.1146/annurev-psych-120709-145346Giordani, P., & Söderlind, P. (2006). Is there evidence of pessimism and doubt in subjective distributions? Implications for the equity premium puzzle. Journal of Economic Dynamics and Control, 30(6), 1027-1043. https://doi.org/10.1016/j.jedc.2005.05.001Griffin, D., & Tversky, A. (1992). The weighing of evidence and the determinats of confidence. Cognitive Psychology, 24, 411-435. https://doi.org/10.1016/0010-0285(92)90013-RHastie, R., & Dawes, R. M. (2010). Rational Choice in an Uncertain World: The Psychology of Judgement and Decision Making. SAGE Publications.Helweg-Larsen, M., & Shepperd, J. A. (2001). Do Moderators of the Optimistic Bias Affect Personal or Target Risk Estimates? A Review of the Literature. Personality and Social Psychology Review, 5(1), 74-95. https://doi.org/10.1207/S15327957PSPR0501_5Hilary, G., & Hsu, C. (2011). Endogenous overconfidence in managerial forecasts. Journal of Accounting and Economics, 51(3), 300-313. https://doi.org/10.1016/j.jacceco.2011.01.002Hirshleifer, D. (2015). Behavioral Finance. Annual Review of Financial Economics, 7(1), 133-159. https:// doi.org/10.1146/annurev-financial-092214-043752Hysenbelli, D., Rubaltelli, E., & Rumiati, R. (2013). Others’ opinions count, but not all of them: anchoring to ingroup versus outgroup members’ behavior in charitable giving. Judgment and Decision Making, 8(6), 678-690. http://journal.sjdm.org/12/121219/jdm121219.pdfJefferson, A., Bortolotti, L., & Kuzmanovic, B. (2017). What is unrealistic optimism? Consciousness and Cognition, 50, 3-11. https://doi.org/10.1016/j.concog.2016.10.005Kahneman, D. (2003). Maps of Bounded Rationality: Psychology for Behavioral Economics. American Economic Review, 93(5), 1449-1475. https://doi.org/10.1257/000282803322655392Kahneman, D. (2011). Thinking, Fast and Slow. New York: Farrar, Straus and Giroux.Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. The Journal of Economic Perspectives, 5(1), 193-206. http://pubs.aeaweb.org/ doi/10.1257/jep.5.1.193.Kahneman, D., & Riepe, M. W. (1998). Aspects of Investor Psychology. The Journal of Portfolio Management, 24(4), 52-65. https://doi.org/10.3905/jpm.1998.409643Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgement Under Uncertainty: Heuristics and Biases. Cambridge University Press.Kahneman, D., & Tversky, A. (1973). On the psychology of prediction. Psychological Review, 80(4), 237- 251. https://doi.org/10.1037/h0034747Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263. https://doi.org/10.2307/1914185Kaustia, M., Alho, E., & Puttonen, V. (2008). How Much Does Expertise Reduce Behavioral Biases? The Case of Anchoring Effects in Stock Return Estimates. Financial Management, 37(3), 391-412. https://doi. org/10.1111/j.1755-053X.2008.00018.xKendall, M. G., & Hill, A. B. (1953). The analysis of economic time-series-Part I: Prices. Journal of the Royal Statistical Society Series A, 116(1), 11. https://doi.org/10.2307/2980947Kinari, Y. (2016). Properties of expectation biases: Optimism and overconfidence. Journal of Behavioral and Experimental Finance, 10(1), 32-49. https://doi.org/10.1016/j.jbef.2016.02.003Krch, D. (2011). Cognitive Processing. In J. S. Kreutzer, J. DeLuca, & B. Caplan (eds.). Encyclopedia of Clinical Neuropsychology. (p. 627). New York, NY: Springer New York.Langer, E. J. (1975). The illusion of control. Journal of Personality and Social Psychology, 32(2), 311-328. https://doi.org/10.1037/0022-3514.32.2.311Levin, I. P., Schneider, S. L., & Gaeth, G. J. (1998). All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects. Organizational Behavior and Human Decision Processes, 76(2), 149-188. https://doi.org/10.1006/obhd.1998.2804Liao, L.-C., Chou, R. Y., & Chiu, B. (2013). Anchoring effect on foreign institutional investors’ momentum trading behavior: Evidence from the Taiwan stock market. The North American Journal of Economics and Finance, 26, 72-91. https://doi.org/10.1016/j.najef.2013.07.001Locke, J. (1796). An Essay Concerning Human Understanding. The Philosophical Review. 3(5), 601-605. https://openpublishing.psu.edu/locke/bib/ch0e.htmlLovallo, D., & Kahneman, D. (2003). Delusions of Success: How Optimism Undermines Executives’ Decisions. Harvard Business Review. 81(7), 56-63, 117. https://www.ncbi.nlm.nih.gov/pubmed/12858711Lucas, R. E. J. (1978). Asset Prices in an Exchange Economy. Econometrica, 46(6), 1429-1445. http:// www.its.caltech.edu/~pbs/expfinance/Readings/Lucas1978.pdfLucey, M. E., & O’Connor, F. A. (2016). Mind the gap: Psychological barriers in gold and silver prices. Finance Research Letters, 17, 135-140. https://doi.org/10.1016/j.frl.2016.03.009March, J. G. (1978). Bounded Rationality, Ambiguity, and the Engineering of Choice. The Bell Journal of Economics, 9(2), 587. https://www.jstor.org/stable/3003600Marsden, A., Veeraraghavan, M., & Ye, M. (2008). Heuristics of Representativeness, Anchoring and Adjustment, and Leniency: Impact on Earnings’ Forecasts by Australian Analysts. Quarterly Journal of Finance & Accounting, 47(2), 83-102. https://doi.org/https://doi.org/10.2139/ssrn.996514McElroy, T., & Dowd, K. (2007). Susceptibility to anchoring effects: How openness-to-experience influences responses to anchoring cues. Judgment and Decision Making, 2(1), 48-53. http://journal.sjdm. org/jdm06143.pdfMintzberg, H., Raisinghani, D., & Theoret, A. (1976). The Structure of «Unstructured» Decision Processes. Administrative Science Quarterly, 21(2), 246. https://doi.org/10.2307/2392045Montier, J. (2013). Behavioural Investing: A Practitioner’s Guide to Applying Behavioural Finance. Chichester, England: John Wiley & Sons.Mullainathan, S., & Thaler, R. (2000). Behavioral Economics. the National Bureau of Economic Research (Vol. 3). Cambridge, MA. https://doi.org/10.3386/w7948Mussweiler, T., Strack, F., & Pfeiffer, T. (2000). Overcoming the Inevitable Anchoring Effect: Considering the Opposite Compensates for Selective Accessibility. Personality and Social Psychology Bulletin, 26(9), 1142-1150. https://doi.org/10.1177/01461672002611010Newell, B. R., & Bröder, A. (2008). Cognitive processes, models and metaphors in decision research. Judgment and Decision Making, 3(3), 195-204. http://journal.sjdm.org/bn1.pdfNorthcraft, G. B., & Neale, M. A. (1987). Experts, amateurs, and real estate: An anchoring-and-adjustment perspective on property pricing decisions. Organizational Behavior and Human Decision Processes, 39(1), 84-97. https://doi.org/10.1016/0749-5978(87)90046-XOdean, T. (1998). Are Investors Reluctant to Realize Their Losses? The Journal of Finance, 53(5), 1775- 1798. https://doi.org/10.1111/0022-1082.00072Pachur, T., & Bröder, A. (2013). Judgment: a cognitive processing perspective. Wiley Interdisciplinary Reviews: Cognitive Science, 4(6), 665-681. https://doi.org/10.1002/wcs.1259Plous, S. (1989). Thinking the Unthinkable: The Effects of Anchoring on Likelihood Estimates of Nuclear War. Journal of Applied Social Psychology, 19(1), 67-91. https://doi.org/10.1111/j.1559-1816.1989.tb01221.xPompian, M. M. (2012). Behavioral Finance and Wealth Management : How to Build Optimal Portfolios That Account for Investor Biases (2.a ed.). Chichester, England: John Wiley & Sons.Puri, M., & Robinson, D. (2007). Optimism and economic choice. Journal of Financial Economics, 86(1), 71-99. https://doi.org/10.1016/j.jfineco.2006.09.003Rau, R. (2011). Market Inefficiency. In Baker, H. K., & Nofsinger, J. R. (eds.). Behavioral Finance: Investors, Corporations, and Markets (pp. 331-349). Hoboken, New Jersey: John Wiley & Sons.Ricciardi, V. (2008). The Psychology of Risk: The Behavioral Finance Perspective. In Fabozzi, F. J. (ed.). The Handbook of Finance. Vol. 2. Investment Management and Financial Management. (pp. 85-111). London: John Wiley & Sons.Ricciardi, V., & Simon, H. K. (2000). What is Behavioral Finance? Business, Education & Technology Journal, 2(2), 1-9. https://ssrn.com/abstract=256754Ritter, J. R. (2003). Behavioral finance. Pacific-Basin Finance Journal, 11(4), 429-437. https://doi. org/10.1016/S0927-538X(03)00048-9S&P Global. (2019). S&P MILA Indices Methodology. https://us.spindices.com/documents/methodologies/ methodology-sp-mila-indices.pdf?force_download=trueSamuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59. https://doi.org/10.1007/BF00055564Schwert, G. W. (2003). Anomalies and Market Efficiency. Handbook of the Economics of Finance, 1, 939- 974. http://schwert.ssb.rochester.edu/hbfech15.pdfSharot, T. (2011). The optimism bias. Current Biology, 21(23), R941-R945. https://doi.org/10.1016/j. cub.2011.10.030Sharot, T., Riccardi, A. M., Raio, C. M., & Phelps, E. A. (2007). Neural mechanisms mediating optimism bias. Nature, 450(November), 102-105. https://www.ncbi.nlm.nih.gov/pubmed/17960136Shefrin, H., & Statman, M. (2000). Behavioral Portfolio Theory. The Journal of Financial and Quantitative Analysis, 35(2), 127. https://doi.org/10.2307/2676187Shepperd, J. A., Carroll, P., Grace, J., & Terry, M. (2002). Exploring the Causes of Comparative Optimism. Psychologica Belgica, 42, 65-98. https://psycnet.apa.org/record/2002-06881-007Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance The 1980s and Excess Volatility. Journal of Economic Perspectives, 17(1), 83-104. https://doi.org/10.1257/089533003321164967Shin, H., & Park, S. (2018). Do foreign investors mitigate anchoring bias in stock market? Evidence based on post-earnings announcement drift. Pacific-Basin Finance Journal, 48(December 2016), 224-240. https:// doi.org/10.1016/j.pacfin.2018.02.008Simon, H. A. (1955). A Behavioral Model of Rational Choice. The Quarterly Journal of Economics, 69(1), 99. https://doi.org/10.2307/1884852Simon, H. A. (1957). Models of man; social and rational. Operations Research (Vol. 5). Oxford, England: WileySimon, H. A. (1972). Theories of Bounded Rationality. In Decision and Organization: A volume in honor of Jacob Marschak (pp. 161-176). North-Holland Publishing Company.Slovic, P., & Lichtenstein, S. (1971). Comparison of Bayesian and regression approaches to the study of information processing in judgment. Organizational Behavior and Human Performance, 6(6), 649-744. https://doi.org/10.1016/0030-5073(71)90033-XSlovic, Paul. (1972). Psychological Study of Human Judgment: Implications for Investment Decision Making. Journal of Finance, 27(4), 779-799. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1540-6261.1972. tb01311.xStaněk, R. (2017). Home bias in sport betting : Evidence from Czech betting market. Judgment and Decision Making, 12(2), 168-172. http://journal.sjdm.org/16/16824/jdm16824.html7Thaler, R. (1980). Toward a positive theory of consumer choice. Journal of Economic Behavior and Organization, 1(1), 39-60. https://doi.org/10.1016/0167-2681(80)90051-7Thaler, R., & Sunstein, C. (2008). Nudge: Improving Decisions about Health, Wealth, and Happiness (revised). Penguin UK.Thompson, S. C., Armstrong, W., & Thomas, C. (1998). Illusions of Control, Underestimations, and Accuracy: A Control Heuristic Explanation. Psychological Bulletin, 123(2), 143-161. https://doi. org/10.1037/0033-2909.123.2.143Tversky, A., & Kahneman, D. (1974). Judgment under Uncertainty: Heuristics and Biases. Science, 185(4157), 1124-1131. https://doi.org/10.1126/science.185.4157.1124Tversky, A., & Kahneman, D. (1981). The framing of decisions and the psychology of choice. Science, 211(4481), 453-458. https://doi.org/10.1126/science.7455683Tversky, A., & Kahneman, D. (1992). Advances in Prospect Theory: Cumulative Representation of Uncertainty. Journal of Risk & Uncertainty, 5(4), 297-323. https://link.springer.com/article/10.1007/ BF00122574Von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. 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