Published: 2023-09-01
Analysis of Financial Decision-Making with a Behavioral Economics Approach: Perspectives on Capital Market Investors
DOI: 10.35870/ijmsit.v3i2.1471
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Abstract
This study aims to analyze the financial decision-making of investors in capital markets using the approach of behavioral economics. Behavioral economics studies how psychological and emotional factors influence financial decision-making. This study involves analyzing various aspects of investor behavior including loss aversion, information framing, overconfidence, herd behavior, and demographic factors. The results show that investors tend to fear losses more than profits, which affects prudent decision-making. The way information is presented also influences investment decisions, where the formation of a positive or negative frame can affect perceptions of risk and opportunities for profit. Overconfidence also plays a role in investment decision-making, with overconfident investors tend to underestimate risk. Herd behavior is also seen in this study, where investors tend to follow market trends without in-depth analysis, which can increase market volatility. Demographic factors such as age, gender, education, and investment experience also play a role in investment strategy and risk preference. This research provides important insights to investors and market participants about the psychological factors that influence financial decision-making. With a better understanding of investor behavior, it is hoped that investors will be able to make more informed and informed decisions, as well as reduce the impact of psychological biases in the future. financial decision-making in capital markets.
Keywords
Aversion to Losses ; Behavioral Economics ; Capital Market Investors ; Financial Decision Making ; Overconfidence
Article Information
This article has been peer-reviewed and published in the International Journal of Management Science and Information Technology. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 3 No. 2 (2023)
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Section: Articles
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Published: %750 %e, %2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/ijmsit.v3i2.1471
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Ahmad Rizani
Faculty of Economics and Business Development Economics Department
Rizky Zakariyya Rasyad
Digital Business Study Program
Lina Budiarti
Economics and Business Study Program
Upik Sri Sulistyawati
Entrepreneurship Study Program
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Komalasari, P. T., Asri, M., Purwanto, B. M., & Setiyono, B. (2022). Herding behaviour in the capital market: what do we know and what is next?. Management Review Quarterly, 72(3), 745-787.
-
Alexandru, A. C., & Caragea, N. (2011). Financial Crisis from the Trust and Loss Aversion Perspective in Emerging Romanian Capital Market. Theoretical and Applied Economics, 7(7), 101.
-
Pan, L., Li, X., Chen, J., & Chen, T. (2020). Sounds novel or familiar? Entrepreneurs' framing strategy in the venture capital market. Journal of Business Venturing, 35(2), 105930.
-
Coulson, A. B., Adams, C. A., Nugent, M. N., & Haynes, K. (2015). Exploring metaphors of capitals and the framing of multiple capitals: Challenges and opportunities for< IR>. Sustainability Accounting, Management and Policy Journal, 6(3), 290-314.
-
Hanlon, M., Yeung, K., & Zuo, L. (2022). Behavioral economics of accounting: A review of archival research on individual decision makers. Contemporary Accounting Research, 39(2), 1150-1214.
-
Berliana, B., Ambarwati, S. D. A., & Yacobus, A. (2022). Determinants Of Capital Market Investment Interest In The Millenial Generation In The Covid-19 Pandemic. International Journal of Economics, Business and Accounting Research (IJEBAR), 6(2), 1600-1612.
-
Wahyuni, A. N., & Pramono, N. H. (2021). Pengaruh Faktor Demografi dan Faktor Psikologi Investor dalam Pengambilan Keputusan Investasi di Era Ekonomi Digital. Jurnal Akuntansi Berkelanjutan Indonesia, 4(1), 73-91.
-
Pratama, A. O., Purba, K., Jamhur, J., & Prasetyo, P. B. T. (2020). Pengaruh Faktor Perilaku Investor Saham Terhadap Keputusan Investasi di Bursa Efek Indonesia. Moneter: Jurnal Akuntansi Dan Keuangan, 7(2).
-
Anggraeni, A., & Almilia, L. S. (2017). Model belief adjustment dalam pengambilan keputusan investasi berdasarkan informasi nonakuntansi. Jurnal Ekonomi dan Bisnis, 20(1), 30-49.
-
Grim, D. M., & Berkowitz, D. B. (2020). ESG, SRI, and impact investing: A primer for decision-making. The Journal of Impact and ESG Investing, 1(1), 47-65.
-
Susetyo, A. (2010). Analisis Pengaruh Kinerja Keuangan Perusahaan Terhadap Harga Saham dan Manfaatnya Dalam Pengambilan Keputusan Investasi. Fokus Bisnis: Media Pengkajian Manajemen dan Akuntansi, 9(2).
-
Rasid, M. I. N., & Hafizi, M. R. (2022). Pengaruh Laporan Keuangan terhadap Pengambilan Keputusan Berinvestasi di Galeri Investasi Syariah Febi IAIN Palangka Raya. At-Tijarah: Jurnal penelitian Keuangan dan Perbankan Syariah, 4(1), 17-36.
-
Hasan, N., Pelleng, F. A., & Mangindaan, J. V. (2019). Analisis capital asset pricing model (CAPM) sebagai dasar pengambilan keputusan berinvestasi saham (Studi pada Indeks Bisnis-27 di Bursa Efek Indonesia). Jurnal Administrasi Bisnis (JAB), 8(1), 36-43.
-
Handayani¹, S., Karnawati, Y., No, J. A. U., & Barat, K. J. J. (2021). Relevansi informasi dalam pengambilan keputusan investor di pasar modal.
-
Sukamulja, S. (2022). ANALISIS LAPORAN KEUANGAN: sebagai DASAR PENGAMBILAN KEPUTUSAN INVESTASI (Edisi REVISI). Penerbit Andi.
-
Potsaid, T., & Venkataraman, S. (2022). Trading restrictions and investor reaction to non-gains, non-losses, and the fear of missing out: Experimental evidence. Journal of Behavioral and Experimental Finance, 33, 100597.
-
Shandu, P., & Alagidede, I. P. (2022). The disposition effect and its manifestations in south African investor teams. Review of Behavioral Finance.
-
Vlaev, I., Chater 1, N., & Stewart, N. (2009). Dimensionality of risk perception: Factors affecting consumer understanding and evaluation of financial risk. The journal of behavioral Finance, 10(3), 158-181.
-
Weixiang, S., Qamruzzaman, M., Rui, W., & Kler, R. (2022). An empirical assessment of financial literacy and behavioral biases on investment decision: Fresh evidence from small investor perception. Frontiers in psychology, 13, 977444.
-
Gysler, M., Brown Kruse, J., & Schubert, R. (2002). Ambiguity and gender differences in financial decision making: An experimental examination of competence and confidence effects. Working papers/WIF, 2002(23).
-
Dervishaj, B. (2021). Psychological biases, main factors of financial behaviour-A literature review. European Journal of Medicine and Natural Sciences, 4(1), 27-44.
-
Zacharakis, A. L., & Shepherd, D. A. (2001). The nature of information and overconfidence on venture capitalists' decision making. Journal of business venturing, 16(4), 311-332.
-
Rahayu, S., Rohman, A., & Harto, P. (2021). Herding behavior model in investment decision on emerging markets: Experimental in Indonesia. Journal of Asian Finance, Economics and Business, 8(1), 053-059.
-
Nareswari, N., Balqista, A. S., & Negoro, N. P. (2021). The The Impact of Behavioral Aspects on Investment Decision Making. Jurnal Manajemen dan Keuangan, 10(1), 15-27.
-
Quaicoe, A., & Eleke-Aboagye, P. Q. (2021). Behavioral factors affecting investment decision-making in bank stocks on the Ghana stock exchange. Qualitative Research in Financial Markets, 13(4), 425-439.
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