Investment Decision Behavior Retirement Planning: An Analysis of Overconfidence Bias by Gender

Heraeni Tanuatmodjo, Toni Heryana, N Nugraha, D Disman

Abstract


The purpose of the study is to determine the effect of gender moderation which is moderated again by employee status (PNS and Non PNS Lecturers) on overconfidence bias in retirement planning.  This research is included in the type of cross sectional research and the method used is the explanatory method.  The research findings are gender and employee status (civil servant and non-civil servant lecturers) moderate the effect of overconfidence bias on retirement planning. If employee status is seen based on gender, the results do not affect retirement planning. Thus in making retirement planning, employee status affects retirement planning but is not determined by gender.  This overconfidence is often stronger based on gender and employment status. In practical terms, this means that retirement planning and investment decisions are influenced by gender, as men and women have different levels of confidence. This study places the status of lecturers based on gender in moderating overconfidence bias towards retirement planning as a novelty in this study. 


Keywords


Investment decision behavior, retirement planning, overconfidence bias, Gender.

Full Text:

PDF

References


Addinpujoartanto, N. A., and Darmawan, S. (2020). PENGARUH OVERCONFIDENCE, REGRET AVERSION, LOSS AVERSION, DAN HERDING BIAS TERHADAP KEPUTUSAN INVESTASI DI INDONESIA. Jurnal Riset Ekonomi Dan Bisnis, 13(3), 175.

Anwar, M., Khan, S. Z., and Rehman, A. U. (2017). Financial Literacy, Behavioral Biases and Investor’s Portfolio Diversification: Empirical Study of an Emerging Stock Market. Journal of Finance and Economics Research, 2(2), 145–164.

Badshah, W., and Irshad, S. (2016). Effect of Representativeness Bias on Investment Decision Making. Management and Administrative Sciences Review, 5(1), 26–30.

Baker, H. K., Filbeck, G., and Nofsinger, J. R. (2019). Behavioral Finance : What Everyone Needs to Know (Reprint). Oxford University Press.

Baker, M., and Wurgler, J. (2007). Investor Sentiment in the Stock Market. Journal of Economic Perspectives, 21(2), 129–151.

Bhandari, G., and Deaves, R. (2006). The Demographics of Overconfidence. Journal of Behavioral Finance, 7(1), 5–11.

Bradrania, R., Pirayesh Neghab, D., and Shafizadeh, M. (2022). State-dependent stock selection in index tracking: a machine learning approach. Financial Markets and Portfolio Management, 36(1), 1–28.

Hinrichs, K. (2021). Recent pension reforms in Europe: More challenges, new directions. An overview. Social Policy and Administration, 55(3), 409–422.

Novianggie, V., and Asandimitra, N. (2019). The Influence of Behavioral Bias, Cognitive Bias, and Emotional Bias on Investment Decision for College Students with Financial Literacy as the Moderating Variable. International Journal of Academic Research in Accounting, Finance and Management Sciences, 9(2), 92–107.

Pompian, M. M. (2012). Behavioral Finance and Wealth Management: How to Build Investment Strategies That Account for Investor Biases (Second). John Wiley and Sons, Inc.

Puspitaningtyas, Z. (2012). PERILAKU INVESTOR DALAM PENGAMBILAN KEPUTUSAN INVESTASI DI PASAR MODAL. Jurnal Ekonomi Dan Keuangan, 16(2), 1–11.

Thaler, R. H., and Shefrin, H. M. (1981). An Economic Theory of Self-Control. Journal of Politican Economy, 89(2), 392–406.

Watson, J., and McNaughton, M. (2007). Gender Differences in Risk Aversion and Expected Retirement Benefits. Financial Analysts Journal, 63(4), 52–62.

Yen, W.-T. (2018). Pension Plans and Retirement Insecurity. Ageing International, 43(4), 438–463.




DOI: https://doi.org/10.17509/jaset.v16i2.70907

Refbacks

  • There are currently no refbacks.


Creative Commons License

Jurnal ASET (Akuntansi Riset) is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License

View My Stats Visitor