The role of psychological aspects to measure Indonesian cryptocurrency investor behavior

Authors

  • Finnah Foourqoniah Faculty of Social and Political Sciences, Mulawarman University
  • Wira Bharata Faculty of Social and Political Sciences, Mulawarman University
  • Moni Wulan Mahriani Faculty of Social and Political Sciences, Mulawarman University

DOI:

https://doi.org/10.24914/jeb.v27i2.10153

Keywords:

Sensation-seeking, emotional intelligence, perceived information quality, behavioral finance, cryptocurrency

Abstract

Indonesia is one of the countries experiencing growth in cryptocurrency investment. This study evaluates the psychological aspects that impact the behavioral finance of cryptocurrency investors in Indonesia. This study uses sensation-seeking and emotional intelligence as antecedents to measure behavioral finance. We propose a relationship between perceived information quality and behavioral finance that has never been done before. The paradigm of this research is quantitative-explanatory. The statistical population consists of cryptocurrency investors in Indonesia throughout 2022, as many as 16.7 million people. The sample comprised 384 respondents who were given closed questionnaires through social media platforms. The data were analyzed by using SPSS software version 25. The results of the study proved that all the hypotheses proposed were accepted. This study generally shows a picture of the behavior of Indonesian cryptocurrency investors from a psychological perspective. The research findings show that sensation-seeking, emotional intelligence, and perceived information quality directly and significantly impact behavioral finance.

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References

Ackert, L. F., Deaves, R., Miele, J., & Nguyen, Q. (2020). Are time preference and risk preference associated with cognitive intelligence and emotional intelligence? Journal of Behavioral Finance, 21(2), 136–156. https://doi.org/10.1080/15427560.2019.1663850

Afani, Y., & Tambunan, M. R. U. D. (2022). Analisis kebijakan pemajakan atas tansaksi perdagangan aset kripto di Indonesia. Jurnal Riset Akuntansi & Perpajakan (JRAP), 9(2), 267–282. https://doi.org/10.35838/jrap.2022.009.02.24

Ahmad, M. (2018). Impact of neurotransmitters, emotional intelligence and personality on investor’s behavior and investment decisions. Pakistan Journal of Commerce and Social Sciences (PJCSS), 12(1), 330–362.

Ahn, Y., & Kim, D. (2021). Emotional trading in the cryptocurrency market. Finance Research Letters, 42, 101912. https://doi.org/10.1016/j.frl.2020.101912

Al-Mansour, B. Y. (2020). Cryptocurrency market: Behavioral finance perspective. The Journal of Asian Finance, Economics and Business, 7(12), 159–168. https://doi.org/10.13106/jafeb.2020.vol7.no12.159

Antonelli-Filho, P., Bressan, A. A., Vieira, K. M., & Potrich, A. C. G. (2021). Sensation seeking and overconfidence in day traders: Evidence from Brazil. Review of Behavioral Finance, 13(5), 486–501. https://doi.org/10.1108/RBF-05-2020-0104

Arbina, M., & Putuhena, M. I. F. (2022). Tata kelola pembentukan regulasi terkait perdagangan mata uang kripto (cryptocurrency) sebagai aset kripto (crypto asset). Mahadi: Indonesia Journal of Law, 1(1), 33–57. https://doi.org/10.32734/mah.v1i1.8314

Arslanian, H. (2022). The history of money. In The Book of Crypto (pp. 1–43). Springer International Publishing. https://doi.org/10.1007/978-3-030-97951-5_1

Barberis, N., Jin, L. J., & Wang, B. (2021). Prospect theory and stock market anomalies. The Journal of Finance, 76(5), 2639–2687. https://doi.org/10.1111/jofi.13061

Bernheim, B. D., & Sprenger, C. (2020). On the empirical validity of cumulative prospect theory: Experimental evidence of rank‐independent probability weighting. Econometrica, 88(4), 1363–1409. https://doi.org/10.3982/ECTA16646

Bhardwaj, P. (2019). Types of sampling in research. Journal of the Practice of Cardiovascular Sciences, 5(3), 157–163. https://doi.org/10.4103/jpcs.jpcs_62_19

Budiman, J., Calystania, V., Novia, J., Sisca, V., Vira, V., & Stephanie, S. (2023). Evaluasi perilaku investor crypto individual dalam pengambilan keputusan investasi. Economics and Digital Business Review, 4(1), 237–249. https://doi.org/10.37531/ecotal.v4i1.311

Chase, H. W., & Ghane, M. (2023). Seeking pleasure, finding trouble: Functions and dysfunctions of trait sensation seeking. Current Addiction Reports, 10(2), 140–148. https://doi.org/10.1007/s40429-023-00484-5

Chenguel, M. B. (2023). Blockchain and cryptocurrency: Development without regulation? In International Conference on Business and Technology (pp. 663–679). Springer. https://doi.org/10.1007/978-3-031-08093-7_44

Claudia, C., & Setiawan, E. (2021). The influence of emerging adulthood status and sensation seeking on financial behavior of Petra Christian University students. International Journal of Financial and Investment Studies (IJFIS), 1(2), 94–100. https://doi.org/10.9744/ijfis.1.2.94-100

Delfabbro, P., King, D. L., & Williams, J. (2021). The psychology of cryptocurrency trading: Risk and protective factors. Journal of Behavioral Addictions, 10(2), 201–207. https://doi.org/10.1556/2006.2021.00037

Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748

DetikFinance. (2023). Kisah miris petani jual sawah dan kerbau demi token artis, kini merugi. Detik.Com.

Di, M., Jia, N., Wang, Q., Yan, W., Yang, K., & Kong, F. (2021). A bifactor model of the Wong and Law Emotional Intelligence Scale and its association with subjective well-being. The Journal of Positive Psychology, 16(4), 561–572. https://doi.org/10.1080/17439760.2020.1791947

Elsayed, A. H., Gozgor, G., & Lau, C. K. M. (2022). Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties. International Review of Financial Analysis, 81, 102069. https://doi.org/10.1016/j.irfa.2022.102069

Faccia, A. (2019). Data and information flows: Assessing threads and opportunities to ensure privacy and investment returns. Proceedings of the 2019 3rd International Conference on Cloud and Big Data Computing, 54–59. https://doi.org/10.1145/3358505.3358508

Fernández-Abascal, E. G., & Martín-Díaz, M. D. (2019). Relations between dimensions of emotional intelligence, specific aspects of empathy, and non-verbal sensitivity. Frontiers in Psychology, 10, 1066. https://doi.org/10.3389/fpsyg.2019.01066

Fernández, M. M., Brito, C. J., Miarka, B., & Díaz-de-Durana, A. L. (2020). Anxiety and emotional intelligence: Comparisons between combat sports, gender and levels using the trait meta-mood scale and the inventory of situations and anxiety response. Frontiers in Psychology, 11, 130–138. https://doi.org/10.3389/fpsyg.2020.00130

Gambetti, E., & Giusberti, F. (2019). Personality, decision-making styles and investments. Journal of Behavioral and Experimental Economics, 80, 14–24. https://doi.org/10.1016/j.socec.2019.03.002

Gill, S., Khurshid, M. K., Mahmood, S., & Ali, A. (2018). Factors effecting investment decision making behavior: The mediating role of information searches. European Online Journal of Natural and Social Sciences, 7(4), 758–767.

Hafishina, A. D. R., Abraham, J., Warnars, H. L. H. S., Manurung, R. H., & Nainggolan, T. (2023). Disrupting money: Psychological factors of investment biases in cryptocurrency. TEM Journal, 12(1), 482–493. https://doi.org/10.18421/TEM121-58

Hamdika, M., Saragih, L., & Sinaga, M. H. (2022). Perbandingan kinerja cryptocurrency bitcoin, saham, dan emas sebagai alternatif investasi tahun 2017-2021. Economic Education and Entrepreneurship Journal, 5(1), 91–105. https://doi.org/10.23960/E3J/v5i1.91-105

Harris, B., McCredie, M. N., Truong, T., Regan, T., Thompson, C. G., Leach, W., & Fields, S. A. (2023). Relations between adolescent sensation seeking and risky sexual behaviors across sex, race, and age: A meta-analysis. Archives of Sexual Behavior, 52(1), 191–204. https://doi.org/10.1007/s10508-022-02384-7

Hartono, S., & Budiarsih, R. (2022). Potensi kesuksesan penerapan pajak penghasilan terhadap transaksi aset kripto di Indonesia. Jurnal Pajak Dan Keuangan Negara (PKN), 4(1), 132–146. https://doi.org/10.31092/jpkn.v4i1.1740

Hasani, M. N. (2022). Analisis cryptocurrency sebagai alat alternatif dalam berinvestasi di Indonesia pada mata uang digital bitcoin. Jurnal Ilmiah Ekonomi Bisnis, 8(2), 329–344. https://doi.org/10.35972/jieb.v8i2.762

Hendershott, T., Zhang, X. (Michael), Zhao, J. L., & Zheng, Z. (2021). Fintech as a game changer: Overview of research frontiers. Information Systems Research, 32(1), 1–17. https://doi.org/10.1287/isre.2021.0997

Hidayah, B., Ariyanto, A. A., & Hariyadi, S. (2020). Apakah emotional intelligence dipengaruhi gender? Analisis perbedaan kecerdasan emosi kaitannya dengan manajemen konflik suami-isteri dalam masa kritis perkawinan. Jurnal Psikologi Udayana, 7(2), 43–52. https://doi.org/10.24843/JPU.2020.v07.i02.p05

Hoyle, R. H., Stephenson, M. T., Palmgreen, P., Lorch, E. P., & Donohew, R. L. (2002). Reliability and validity of a brief measure of sensation seeking. Personality and Individual Differences, 32(3), 401–414. https://doi.org/10.1016/S0191-8869(01)00032-0

Huseynov, F., & Özkan Yıldırım, S. (2019). Online consumer typologies and their shopping behaviors in B2C e-commerce platforms. SAGE Open, 9(2), 1–19. https://doi.org/10.1177/2158244019854639

Ingale, K. K., & Paluri, R. A. (2022). Financial literacy and financial behaviour: A bibliometric analysis. Review of Behavioral Finance, 14(1), 130–154. https://doi.org/10.1108/RBF-06-2020-0141

Jenkins, P. E., Ducker, I., Gooding, R., James, M., & Rutter-Eley, E. (2021). Anxiety and depression in a sample of UK college students: A study of prevalence, comorbidity, and quality of life. Journal of American College Health, 69(8), 813–819. https://doi.org/10.1080/07448481.2019.1709474

Kanesan, P., & Fauzan, N. (2019). Models of emotional intelligence: A review. E-BANGI, 16(7), 1–9.

Kar, D., & Tarafder, S. (2020). Sensation seeking and aggression in adventure sportspersons: A comparative study. Journal of Psychosocial Research, 15(1), 137–149. https://doi.org/10.32381/JPR.2020.15.01.11

Kerr, D. S., Loveland, K. A., Smith, K. T., & Smith, L. M. (2023). Cryptocurrency risks, fraud cases, and financial performance. Risks, 11(3), 51–65. https://doi.org/10.3390/risks11030051

Kim, D. Y., & Kim, H.-Y. (2021). Trust me, trust me not: A nuanced view of influencer marketing on social media. Journal of Business Research, 134, 223–232. https://doi.org/10.1016/j.jbusres.2021.05.024

Kotsou, I., Mikolajczak, M., Heeren, A., Grégoire, J., & Leys, C. (2019). Improving emotional intelligence: A systematic review of existing work and future challenges. Emotion Review, 11(2), 151–165. https://doi.org/10.1177/1754073917735902

Kourouxous, T., & Bauer, T. (2019). Violations of dominance in decision-making. Business Research, 12(1), 209–239. https://doi.org/10.1007/s40685-019-0093-7

Levy, P. S., & Lemeshow, S. (2008). Sampling of populations: Methods and applications (4th ed.). New Jersey: John Wiley & Sons. https://doi.org/10.1002/9780470374597

Lu, T., Yuan, M., Wang, C., & Zhang, X. (2022). Histogram distortion bias in consumer choices. Management Science, 68(12), 8963–8978. https://doi.org/10.1287/mnsc.2022.4306

Malaquias, R. F., & Albertin, A. L. (2019). Information technology investments versus the illusion of control bias. International Journal of Business Information Systems, 32(4), 507–521.

Mills, D. J., & Nower, L. (2019). Preliminary findings on cryptocurrency trading among regular gamblers: A new risk for problem gambling? Addictive Behaviors, 92, 136–140. https://doi.org/10.1016/j.addbeh.2019.01.005

Niu, Y., Ying, L., Yang, J., Bao, M., & Sivaparthipan, C. B. (2021). Organizational business intelligence and decision making using big data analytics. Information Processing & Management, 58(6), 102725. https://doi.org/10.1016/j.ipm.2021.102725

Pernagallo, G., & Torrisi, B. (2022). A theory of information overload applied to perfectly efficient financial markets. Review of Behavioral Finance, 14(2), 223–236. https://doi.org/10.1108/RBF-07-2019-0088

Rabbani, A. G., Yao, Z., Wang, C., & Grable, J. E. (2021). Financial risk tolerance, sensation seeking, and locus of control among pre-retiree baby boomers. Journal of Financial Counseling and Planning, 32(1), 146–157. https://doi.org/10.1891/JFCP-18-00072

Raheja, S., & Dhiman, B. (2020). How do emotional intelligence and behavioral biases of investors determine their investment decisions? Rajagiri Management Journal, 14(1), 35–47. https://doi.org/10.1108/RAMJ-12-2019-0027

Ravert, R. D., & Donnellan, M. B. (2021). Impulsivity and sensation seeking: Differing associations with psychological well-being. Applied Research in Quality of Life, 16(4), 1503–1515. https://doi.org/10.1007/s11482-020-09829-y

Richter, A., Ruß, J., & Schelling, S. (2019). Insurance customer behavior: Lessons from behavioral economics. Risk Management and Insurance Review, 22(2), 183–205. https://doi.org/10.1111/rmir.12121

Rönkkö, M., & Cho, E. (2022). An updated guideline for assessing discriminant validity. Organizational Research Methods, 25(1), 6–14. https://doi.org/10.1177/1094428120968614

Rubanovich, A. V. (2019). Redefining the critical value of significance level (0.005 instead of 0.05): The bayes trace. Biology Bulletin, 46(11), 1449–1457. https://doi.org/10.1134/S1062359019110086

Ruggeri, K., Alí, S., Berge, M. L., Bertoldo, G., Bjørndal, L. D., Cortijos-Bernabeu, A., Davison, C., Demić, E., Esteban-Serna, C., Friedemann, M., Gibson, S. P., Jarke, H., Karakasheva, R., Khorrami, P. R., Kveder, J., Andersen, T. L., Lofthus, I. S., McGill, L., Nieto, A. E., … Folke, T. (2020). Replicating patterns of prospect theory for decision under risk. Nature Human Behaviour, 4(6), 622–633. https://doi.org/10.1038/s41562-020-0886-x

Sashikala, V., & Chitramani, P. (2017). A review on emotional intelligence and investment behavior. International Journal of Management (IJM), 8(3), 32–41.

Sharma, A., & Kumar, A. (2019). A review paper on behavioral finance: Study of emerging trends. Qualitative Research in Financial Markets, 12(2), 137–157. https://doi.org/10.1108/QRFM-06-2017-0050

Singh, A., Sharma, S., & Paliwal, M. (2021). Adoption intention and effectiveness of digital collaboration platforms for online learning: The Indian students’ perspective. Interactive Technology and Smart Education, 18(4), 493–514. https://doi.org/10.1108/ITSE-05-2020-0070

Son, M., & Jeong, G.-C. (2023). Influence of sensation seeking and life satisfaction expectancy on stock addiction tendency: Moderating effect of distress tolerance. Behavioral Sciences, 13(5), 378–387. https://doi.org/10.3390/bs13050378

Song, C. L., Pan, D., Ayub, A., & Cai, B. (2023). The interplay between financial literacy, financial risk tolerance, and financial behaviour: The moderator effect of emotional intelligence. Psychology Research and Behavior Management, 16, 535–548. https://doi.org/10.2147/PRBM.S398450

Sternberg, R. J. (2019). Cultural approaches to intelligence. In Human Intelligence An Introduction (pp. 174–201). Cambridge: Cambridge University Press. https://doi.org/10.1017/9781108610636.007

Sürücü, L., & Maslakçi, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694–2726. https://doi.org/10.15295/bmij.v8i3.1540

Swift, L., & Piff, S. (2020). Essential quantitative methods: For business, management and finance (4th ed.). London: Bloomsbury Publishing.

Vaid, A. J., & Chaudhary, R. (2022). Review paper on impact of behavioral biases in financial decision- making. World Journal of Advanced Research and Reviews, 16(2), 989–997. https://doi.org/10.30574/wjarr.2022.16.2.1236

Vining, G. G., Peck, E. A., & Montgomery, D. C. (2021). Introduction to linear regression analysis (6th ed.). New Jersey: John Wiley & Sons, Inc.

Warsito, O. L. D., & Robiyanto, R. (2020). Analisis volatilitas cryptocurrency, emas, dollar, dan indeks harga saham (IHSG). International Journal of Social Science and Business, 4(1), 40–46. https://doi.org/10.23887/ijssb.v4i1.23887

Wong, C.-S., & Law, K. S. (2017). The effects of leader and follower emotional intelligence on performance and attitude: An exploratory study. In Leadership Perspectives (pp. 97–128). London: Routledge. https://doi.org/10.4324/9781315250601-10

Wood, R., & Zaichkowsky, J. L. (2004). Attitudes and trading behavior of stock market investors: A segmentation approach. Journal of Behavioral Finance, 5(3), 170–179. https://doi.org/10.1207/s15427579jpfm0503_5

Youn, H., Choi, J.-S., Kim, D.-J., & Choi, S.-W. (2016). Development and validation of a stock addiction inventory (SAI). Annals of General Psychiatry, 15(1), 16–22. https://doi.org/10.1186/s12991-016-0105-3

Yu, J. H., Kang, J., & Park, S. (2019). Information availability and return volatility in the bitcoin market: Analyzing differences of user opinion and interest. Information Processing & Management, 56(3), 721–732. https://doi.org/10.1016/j.ipm.2018.12.002

Zer, I., Bernales, A., & Valenzuela, M. (2023). Effects of information overload on financial markets: How much is too much? International Finance Discussion Paper, 1372, 1–45. https://doi.org/10.17016/ifdp.2023.1372

Zhao, H., & Zhang, L. (2021). Financial literacy or investment experience: Which is more influential in cryptocurrency investment? International Journal of Bank Marketing, 39(7), 1208–1226. https://doi.org/10.1108/IJBM-11-2020-0552

Zuckerman, M. (1985). Sensation seeking, mania, and monoamines. Neuropsychobiology, 13(3), 121–128. https://doi.org/10.1159/000118174

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Published

2024-10-02

How to Cite

Foourqoniah, F., Bharata, W., & Mahriani, M. W. (2024). The role of psychological aspects to measure Indonesian cryptocurrency investor behavior. Jurnal Ekonomi Dan Bisnis, 27(2), 81–102. https://doi.org/10.24914/jeb.v27i2.10153

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