Research Article
BibTex RIS Cite

INVESTOR PSYCHOLOGY ANALYSIS BY HERD CYCLE MOVEMENT APPROACH

Year 2019, Volume: 2 Issue: 2, 33 - 52, 25.12.2019

Abstract

In traditional finance theories, human beings are considered rational, while Modern Finance Theories are considered irrational. The "Behavioral Finance Theory" explains that the social environment and behavior affect investors ' making irrational decisions. In this study, the relationship between the "Herd Circle Movement Approach" presented to the literature for the first time and the behaviors affecting investors ' investment decisions from the perspective of the investors was examined. It is aimed to contribute to the development of behavioral finance. Data of the research as constituting the mass of financiers engaged in brokerage houses on the Istanbul Stock Exchange and the New York Stock Exchange reviewed the application. The survey responses as a result of "over-confidence" have been determined to be exhibiting the behavior of a mass. Among the findings of the study, it was determined that investors using the mental accounting power in their investments could be more dominant to them and that there was a positive interaction between the illusion of knowledge and illusion of control and investors who were aware of the herd movement did not show excessive optimism.

References

  • Baker, H. K., & Nofsinger, J. R. (2010). Behavioral Finance Investors, Corporations, and Markets. New Jersey: JohnWiley & Sons, Inc.
  • Barber, B. M., & Odean, T. (2008). All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. The Review of Financial Studies, 785-811.
  • Bhattacharya, S. (2005). Utility, Rationality and Beyond – From Behavioral Finance to Informational Finance. Hexis, Phoenix: Alaska Pacific University, Department of Business Administration.
  • Birau, F. R. (2012). The Impact Of Behavioral Finance On Stock Markets. Annals of the Constantin Brâncuşi University of Târgu Jiu, Economy Series(3), 45-50.
  • Branch, B. (2014). Institutional Economics and Behavioral Finance. Journal of Behavioral and Experimental Finance, 13-16.
  • Chen, J. M. (2016). Finance and the Behavioral Prospect Risk, Exuberance, and Abnormal Markets. Michigan, USA: Quantitative Perspectives on Behavioral Economics and Finance, Springer Nature.
  • Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor Psychology and Security Market Under- and Overreactions. The Journal Of Finance, 3(6), 1839-1859.
  • Duxbury, D. (2015). Behavioral Finance: Insights From Experiments II: Biases, Moods And Emotions. Review of Behavioral Finance, 7(2), 152.
  • Fama, E. F. (1998). Market Efficiency, Long-Term Returns and Behavioral Finance. Journal of Financial Economics, 283-306.
  • Feibel, B. J. (2003). Investment Performance Measurement. New Jersey: Wiley & Sons.
  • Feldman, T., & Lepori, G. (2016). Asset Price Formation And Behavioral Biases. Review of Behavioral Finance, 8(2), 141.
  • Fernandes, J. L. (2007). Risk Taking In Financial Markets: A Behavioral Perspective. Madrid, Spain: Universidad Carlos III De Madrid, Department of Business Administration.
  • George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 Step by Step A Simple Guide and Referance (Fourteent Edition b.). New York, USA: Roudledge, Taylor & Francis Group.
  • Godoi, C. K., Marcon, R., & Silva, A. B. (2005). Loss Aversion: A Qualitative Study in Behavioural Finance. Managerial Finance, 46-47.
  • Graham, J. R., Harvey, C. R., & Huang, H. (2009, July). Investor Competence, Trading Frequency, and Home Bias. Management Science, 55(17), 1094-1101.
  • Hens, T., & Rieger, M. O. (2010). Financial Economics A Concise Introduction to Classical and Behavioral Finance. London: Springer.
  • Hirshleifer, D. (2001, February). Investor Psychology and Asset Pricing. Surbey for American Finance Association, 1-44.
  • Hirshleifer, D. (2008). Psychological Bias as a Driver of Financial Regulation. European Financial Management, 14(5), 856-874.
  • Illiashenko, P. (2017, March). Behavioral Finance: History and Foundations. VISNYK OF THE NATIONAL BANK OF UKRAINE, 28-46.
  • Javed, T., Zafar, N., & Hafeez, B. (2013). Herding Behavior in Karachi Stock Exchange. International Journal of Management Sciences and Business Research, 2(2), 19-22.
  • Johnsson, M., Lindblom, H., & Platan, P. (2002). Behavioral Finance And The Change Of Investor Behaviour During And After The Speculative Bubble At The End Of The 1990's. Lund, İsveç: Lund University, School of Economics and Management.
  • Jureviciene, D., & Ivanova, O. (2013). Behavioral Finance: Theory And Survey. Science – Future Of Lithuania, 53-58.
  • Kahneman, D., & Tversky, A. (1979, Mar.). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47(2), 260-181.
  • Kapusuzoglu, A. (2011, November). Herding in the Istanbul Stock Exchange (ISE): A Case Of Behavioral Finance. African Journal of Business Management, 5(27), 11220-11218.
  • Khan, H., Hassairi, S. A., & Viviani, J.-L. (2011, July). Herd Behavior and Market Stress: The Case of Four European Countries. International Business Research, 4(3), 53-65.
  • Lumsdaine, R. L., & Loon, R. J. (2017). Do Survey Probabilities Match Financial Market Beliefs? Journal of Behavioral Finance, 2.
  • Nofsinger, J. R. (2005). Social Mood and Financial Economics. The Journal of Behavioral Finance, 144-160.
  • Opreana, C., & Tanasescua, C. (2014). Effects of Behavioural Finance on Emerging Capital Markets. Procedia Economics and Finance, 1710-1716.
  • Pompian, M. M. (2006). Introduction To The Practical Application Of Behavioral Finance. Hoboken, New Jersey, USA: John Wiley & Sons, Inc.
  • Qoqiauri, L. (2016, March-April). New Vision Of Investment Genesis Summary. International Journal of Latest Research in Science and Technology, 10-24.
  • Ritter, J. R. (2003). Behavioral Finance. Pacific-Basin Finance Journal, 429-437.
  • Sairafi, K., Selleby, K., & Ståhl, T. (2008). Behavioral Finance – The Student Perspective. Jönköping, Sweden: Jönköping University, Jönköping International Business School.
  • Sfakianakis, M. E. (2002). A Behavioral Analysis of Interest Rates in Euro Area. Managerial Finance, 1-5.
  • Shiller, J., & Pound, J. (1986, May). Survey Evidence on Diffusion of Interest Among Institutional Investors. Cowles Foundation for Research in Economics, 1-25.
  • Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance. The Journal of Economic Perspectives, 83-104.
  • Shleifer, A. (2000). Inefficient Markets: An Introduction to Behavioral Finance. Oxford, U.K.: Oxford University Press.
  • Statman, M. (2014). Behavioral finance: Finance with Normal People. Borsa Istanbul Review, 65-73.
  • Stracca, L. (2004). Behavioral finance and asset prices: Where do we stand? Journal of Economic Psychology, 373-405.
  • Subash, R. (2011). Role of Behavioral Finance in Portfolio Investment Decisions: Evidence from India. Prague: Charles University in Prague Faculty of Social Sciences Institute of Economic Studies.
  • Thaler, R. (2005). Advances in Behavioral Finance Vol.2. New York: Russell Sage Foundation.
  • Thaler, R. H. (1999). Mental Accounting Matters. Journal Of Behavioral Decision Making, 12, 183-205.
  • Titan, A. G. (2015). The Efficient Market Hypothesis: Review of Specialized Literature and Empirical Research. Procedia Economics and Finance, 442-449.
  • Widger, C., & Crosby, D. D. (2014). Personal Benchmark: Integrating Behavioral Finance and Investment Management. New Jersey: Wiley.
  • Willman, P. (2000). Risk, Greed, Sound and Furry. Business Strategy Review, 72-74.
  • Yazdipour, R. (2011). Advances in Entrepreneurial Finance With Applications from Behavioral Finance and Economics. New York: Springer.
  • Zwiebel, J. (2002). Review of Shleifer s Inefficient Markets. Journal of Economic Literature, 1215-1220.

INVESTOR PSYCHOLOGY ANALYSIS BY HERD CYCLE MOVEMENT APPROACH

Year 2019, Volume: 2 Issue: 2, 33 - 52, 25.12.2019

Abstract

In traditional finance theories, human beings are considered rational,
while Modern Finance Theories are considered irrational. The "Behavioral
Finance Theory" explains that the social environment and behavior affect
investors ' making irrational decisions. In this study, the relationship
between the "Herd Circle Movement Approach" presented to the
literature for the first time and the behaviors affecting investors '
investment decisions from the perspective of the investors was examined. It is
aimed to contribute to the development of behavioral finance. Data of the
research as constituting the mass of financiers engaged in brokerage houses on
the Istanbul Stock Exchange and the New York Stock Exchange reviewed the
application. The survey responses as a result of "over-confidence"
have been determined to be exhibiting the behavior of a mass. Among the
findings of the study, it was determined that investors using the mental
accounting power in their investments could be more dominant to them and that
there was a positive interaction between the illusion of knowledge and illusion
of control and investors who were aware of the herd movement did not show
excessive optimism.

References

  • Baker, H. K., & Nofsinger, J. R. (2010). Behavioral Finance Investors, Corporations, and Markets. New Jersey: JohnWiley & Sons, Inc.
  • Barber, B. M., & Odean, T. (2008). All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors. The Review of Financial Studies, 785-811.
  • Bhattacharya, S. (2005). Utility, Rationality and Beyond – From Behavioral Finance to Informational Finance. Hexis, Phoenix: Alaska Pacific University, Department of Business Administration.
  • Birau, F. R. (2012). The Impact Of Behavioral Finance On Stock Markets. Annals of the Constantin Brâncuşi University of Târgu Jiu, Economy Series(3), 45-50.
  • Branch, B. (2014). Institutional Economics and Behavioral Finance. Journal of Behavioral and Experimental Finance, 13-16.
  • Chen, J. M. (2016). Finance and the Behavioral Prospect Risk, Exuberance, and Abnormal Markets. Michigan, USA: Quantitative Perspectives on Behavioral Economics and Finance, Springer Nature.
  • Daniel, K., Hirshleifer, D., & Subrahmanyam, A. (1998). Investor Psychology and Security Market Under- and Overreactions. The Journal Of Finance, 3(6), 1839-1859.
  • Duxbury, D. (2015). Behavioral Finance: Insights From Experiments II: Biases, Moods And Emotions. Review of Behavioral Finance, 7(2), 152.
  • Fama, E. F. (1998). Market Efficiency, Long-Term Returns and Behavioral Finance. Journal of Financial Economics, 283-306.
  • Feibel, B. J. (2003). Investment Performance Measurement. New Jersey: Wiley & Sons.
  • Feldman, T., & Lepori, G. (2016). Asset Price Formation And Behavioral Biases. Review of Behavioral Finance, 8(2), 141.
  • Fernandes, J. L. (2007). Risk Taking In Financial Markets: A Behavioral Perspective. Madrid, Spain: Universidad Carlos III De Madrid, Department of Business Administration.
  • George, D., & Mallery, P. (2016). IBM SPSS Statistics 23 Step by Step A Simple Guide and Referance (Fourteent Edition b.). New York, USA: Roudledge, Taylor & Francis Group.
  • Godoi, C. K., Marcon, R., & Silva, A. B. (2005). Loss Aversion: A Qualitative Study in Behavioural Finance. Managerial Finance, 46-47.
  • Graham, J. R., Harvey, C. R., & Huang, H. (2009, July). Investor Competence, Trading Frequency, and Home Bias. Management Science, 55(17), 1094-1101.
  • Hens, T., & Rieger, M. O. (2010). Financial Economics A Concise Introduction to Classical and Behavioral Finance. London: Springer.
  • Hirshleifer, D. (2001, February). Investor Psychology and Asset Pricing. Surbey for American Finance Association, 1-44.
  • Hirshleifer, D. (2008). Psychological Bias as a Driver of Financial Regulation. European Financial Management, 14(5), 856-874.
  • Illiashenko, P. (2017, March). Behavioral Finance: History and Foundations. VISNYK OF THE NATIONAL BANK OF UKRAINE, 28-46.
  • Javed, T., Zafar, N., & Hafeez, B. (2013). Herding Behavior in Karachi Stock Exchange. International Journal of Management Sciences and Business Research, 2(2), 19-22.
  • Johnsson, M., Lindblom, H., & Platan, P. (2002). Behavioral Finance And The Change Of Investor Behaviour During And After The Speculative Bubble At The End Of The 1990's. Lund, İsveç: Lund University, School of Economics and Management.
  • Jureviciene, D., & Ivanova, O. (2013). Behavioral Finance: Theory And Survey. Science – Future Of Lithuania, 53-58.
  • Kahneman, D., & Tversky, A. (1979, Mar.). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47(2), 260-181.
  • Kapusuzoglu, A. (2011, November). Herding in the Istanbul Stock Exchange (ISE): A Case Of Behavioral Finance. African Journal of Business Management, 5(27), 11220-11218.
  • Khan, H., Hassairi, S. A., & Viviani, J.-L. (2011, July). Herd Behavior and Market Stress: The Case of Four European Countries. International Business Research, 4(3), 53-65.
  • Lumsdaine, R. L., & Loon, R. J. (2017). Do Survey Probabilities Match Financial Market Beliefs? Journal of Behavioral Finance, 2.
  • Nofsinger, J. R. (2005). Social Mood and Financial Economics. The Journal of Behavioral Finance, 144-160.
  • Opreana, C., & Tanasescua, C. (2014). Effects of Behavioural Finance on Emerging Capital Markets. Procedia Economics and Finance, 1710-1716.
  • Pompian, M. M. (2006). Introduction To The Practical Application Of Behavioral Finance. Hoboken, New Jersey, USA: John Wiley & Sons, Inc.
  • Qoqiauri, L. (2016, March-April). New Vision Of Investment Genesis Summary. International Journal of Latest Research in Science and Technology, 10-24.
  • Ritter, J. R. (2003). Behavioral Finance. Pacific-Basin Finance Journal, 429-437.
  • Sairafi, K., Selleby, K., & Ståhl, T. (2008). Behavioral Finance – The Student Perspective. Jönköping, Sweden: Jönköping University, Jönköping International Business School.
  • Sfakianakis, M. E. (2002). A Behavioral Analysis of Interest Rates in Euro Area. Managerial Finance, 1-5.
  • Shiller, J., & Pound, J. (1986, May). Survey Evidence on Diffusion of Interest Among Institutional Investors. Cowles Foundation for Research in Economics, 1-25.
  • Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance. The Journal of Economic Perspectives, 83-104.
  • Shleifer, A. (2000). Inefficient Markets: An Introduction to Behavioral Finance. Oxford, U.K.: Oxford University Press.
  • Statman, M. (2014). Behavioral finance: Finance with Normal People. Borsa Istanbul Review, 65-73.
  • Stracca, L. (2004). Behavioral finance and asset prices: Where do we stand? Journal of Economic Psychology, 373-405.
  • Subash, R. (2011). Role of Behavioral Finance in Portfolio Investment Decisions: Evidence from India. Prague: Charles University in Prague Faculty of Social Sciences Institute of Economic Studies.
  • Thaler, R. (2005). Advances in Behavioral Finance Vol.2. New York: Russell Sage Foundation.
  • Thaler, R. H. (1999). Mental Accounting Matters. Journal Of Behavioral Decision Making, 12, 183-205.
  • Titan, A. G. (2015). The Efficient Market Hypothesis: Review of Specialized Literature and Empirical Research. Procedia Economics and Finance, 442-449.
  • Widger, C., & Crosby, D. D. (2014). Personal Benchmark: Integrating Behavioral Finance and Investment Management. New Jersey: Wiley.
  • Willman, P. (2000). Risk, Greed, Sound and Furry. Business Strategy Review, 72-74.
  • Yazdipour, R. (2011). Advances in Entrepreneurial Finance With Applications from Behavioral Finance and Economics. New York: Springer.
  • Zwiebel, J. (2002). Review of Shleifer s Inefficient Markets. Journal of Economic Literature, 1215-1220.
There are 46 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Research Article
Authors

Şaban Onur Viga 0000-0002-1676-7850

Turgut Özkan 0000-0002-5017-0257

Publication Date December 25, 2019
Acceptance Date December 23, 2019
Published in Issue Year 2019 Volume: 2 Issue: 2

Cite

APA Viga, Ş. O., & Özkan, T. (2019). INVESTOR PSYCHOLOGY ANALYSIS BY HERD CYCLE MOVEMENT APPROACH. Business Economics and Management Research Journal, 2(2), 33-52.

The texts to be sent to our journal should be prepared according to the template file linked below. You can also download the template file and make corrections on it. Articles that are not prepared in accordance with the template file are returned to the author by the editor.

Download the Template...