PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo
2024 | 19 | nr 1 | 207--239
Tytuł artykułu

Exploring Rationality of Peer-to-Peer Lending Investors: a Conceptual Approach and Multicriteria-Based Methodology

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research background: The shift towards globalization, technological innovations, and digitalization has led to the emergence of various innovative financial products, such as peer-to-peer (P2P) lending. Characterised by digital solutions and easier access, P2P lending allows inves-tors to make quick and more frequent investment decisions. However, this can increase investors' vulnerability to behavioural biases, and therefore leave them open to potential losses. There is a research gap in understanding P2P lending investors' rationality, including research methods tailored to the specifics of this innovative product. Purpose of the article: Objectives of our study is to propose a conceptual approach and mul-ticriteria-based methodology to measure the degree and type of investor rationality; to apply it in Lithuanian P2P lending context, and to explore the differences in rationality based on the investors' sociodemographic characteristics. Methods: The data set represented answers to an online survey collected from 390 Lithuanian P2P lending investors. Three groups of criteria were employed to assess rationality degree and type: risk and return (reflecting utility maximization), use of available information, and behavioural biases criteria. The rationality index was developed to measure the rationality de-gree of individual P2P lending investors; descriptive and cluster analysis were performed to assess the rationality type; t-test, ANOVA test and regression analysis were used to investigate its influencing factors. Findings & value added: The results indicated a moderate overall degree of P2P lending investors' rationality, with bounded rationality representing 96,67% of the sample. Further clustering analysis proved that bounded rationality behaviour is not homogenous; therefore, measures taken to increase individual's rationality should be tailored to their specific rationality type primarily focusing on low-scoring rationality criterion. Regarding sociodemographic factors, investors' financial literacy was identified as the only significant and positive determinant of P2P lending investors' rationality, reinforcing the importance of financial literacy in society.(original abstract)
Czasopismo
Rocznik
Tom
19
Numer
Strony
207--239
Opis fizyczny
Twórcy
  • Vytautas Magnus University, Lithuania
  • Vytautas Magnus University, Lithuania
Bibliografia
  • Acciarini, C., Brunetta, F., & Boccardelli, P. (2021). Cognitive biases and decision-making strategies in times of change: A systematic literature review. Management Decision, 59(3), 638-652. https://doi.org/10.1108/MD-07-2019-1006.
  • Adamek, J., & Solarz, M. (2023). Adoption factors in digital lending services offered by FinTech lenders. Oeconomia Copernicana, 14(1), 169-212. https://doi.org/10.24136/oc.2023.005.
  • Ahmad, M., & Wu, Q. (2022). Does herding behavior matter in investment man-agement and perceived market efficiency? Evidence from an emerging market. Management Decision, 60(8), 2148-2173. https://doi.org/10.1108/MD-07-2020-0867.
  • Angeletos, G. M., & Lian, C. (2023). Dampening general equilibrium: Incomplete information and bounded rationality. In Handbook of economic expectations (pp. 613-645). Academic Press. https://doi.org/10.1016/B978-0-12-822927-9.00028-8.
  • Baker, H. K., Kumar, S., Goyal, N., & Gaur, V. (2019). How financial literacy and demographic variables relate to behavioral biases. Managerial Finance, 45(1), 124-146. https://doi.org/10.1108/MF-01-2018-0003.
  • Basha, S. A., Elgammal, M. M., & Abuzayed, B. M. (2021). Online peer-to-peer lend-ing: A review of the literature. Electronic Commerce Research and Applications, 48, 101069. https://doi.org/101069. 10.1016/j.elerap.2021.101069.
  • Caglayan, M., Talavera, O., & Zhang, W. (2021). Herding behaviour in P2P lending markets. Journal of Empirical Finance, 63, 27-41. https://doi.org/10.1016/j.jempfin. 2021.05.005.
  • Chen, D., Huang, C., Liu, D., & Lai, F. (2022). The role of expertise in herding behaviors: Evidence from a crowdfunding market. Electronic Commerce Research, 1-49. https://doi.org/10.1007/s10660-022-09570-8.
  • Chen, X., Jin, Fj., Zhang, Q., & Yang, L. (2016). Are investors rational or perceptual in P2P lending? Information Systems and e-Business Management, 14, 921-944. https://doi.org/10.1007/s10257-016-0305-z.
  • Cohen, G., & Kudryavtsev, A. (2012). Investor rationality and financial decisions. Journal of Behavioral Finance, 13(1), 11-16. https://doi.org/10.1080/15427560.2012. 653020.
  • Czaja, D., & Röder, F. (2020). Self-attribution bias and overconfidence among non-professional traders. Quarterly Review of Economics and Finance, 78, 186-198. https://doi.org/10.1016/j.qref.2020.02.003.
  • Dabrowski, M. (2017). Potential impact of financial innovation on financial services and monetary policy. Case Reports, 488. https://doi.org/10.2139/ssrn.3009307.
  • Davis, K. (2016). Peer-to-peer lending: structures, risks and regulation. JASSA, 3, 37-44. https://doi.org/10.3316/informit.419817919644101.
  • De Bortoli, D., da Costa N. Jr., Goulart M., & Campara J. (2019) Personality traits and investor profile analysis: A behavioral finance study. PLoS ONE, 14(3), e0214062. https://doi.org/10.1371/journal.pone.0214062.
  • Deng, J. (2022). The crowding-out effect of formal finance on the P2P lending market: An explanation for the failure of China's P2P lending industry. Finance Research Letters, 45, 102167. https://doi.org/10.1016/j.frl.2021.102167.
  • Durand, R. B., Patterson, F. M., & Shank, C. A. (2021). Behavioral biases in the NFL gambling market: Overreaction to news and the recency bias. Journal of Behavioral and Experimental Finance, 31, 100522. https://doi.org/10.1016/j.jbef.2021. 100522.
  • Felton, J., Gibson, B., & Sanbonmatsu, D. M. (2003). Preference for risk in investing as a function of trait optimism and gender. Journal of Behavioral Finance, 4(1), 33-40. https://doi.org/10.1207/S15427579JPFM0401_05.
  • Feyen, E., Frost, J., Gambacorta, L., Natarajan, H., & Saal, M. (2021). Fintech and the digital transformation of financial services: Implications for market structure and public policy. BIS Papers, 117.
  • Gonzalez, L. (2023). Financial literacy in for-profit vs pro-social peer-to-peer lending. Managerial Finance, 49(2), 315-337. https://doi.org/10.1108/MF-07-2021-0329.
  • Guo, Y., Zhou, W., Luo, C., Liu, C., & Xiong, H. (2016). Instance-based credit risk assessment for investment decisions in P2P lending.European Journal of Operational Research, 249(2), 417-426. https://doi.org/10.1016/j.ejor.2015.05.050.
  • Herve, F., Manthé, E., Sannajust, A., & Schwienbacher, A. (2019). Determinants of individual investment decisions in investment-based crowdfunding. Journal of Business Finance & Accounting, 46(5-6), 762-783. https://doi.org/10.1111/jbfa.12 372.
  • Hornuf, L., Schmitt, M., & Stenzhorn, E. (2020). Does a local bias exist in equity crowdfunding? Caglayan Max Planck Institute for Innovation & Competition Research Paper, 16-07, CESifo Working Paper, 8154. https://doi.org/10.2139/ssrn. 3555581.
  • Julmi, C. (2019). When rational decision-making becomes irrational: A critical assessment and reconceptualization of intuition effectiveness. Business Research, 12, 291-314. https://doi.org/10.1007/s40685-019-0096-4.
  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica, 47(2), 263-292. https://doi.org/10.2307/1914185.
  • Kahneman, D., & Tversky, A. (2013). Prospect theory: An analysis of decision under risk. In Handbook of the fundamentals of financial decision making: Part I (pp. 99-127). Singapore: World Scientific Publishing.
  • Kartini, K., & Nahda, K. (2021). Behavioral biases on investment decision: A case study in Indonesia. Journal of Asian Finance, Economics and Business, 8(3), 1231-1240. https://doi.org/10.13106/jafeb.2021.vol8.no3.1231.
  • Kilic, O., Marks, J. M., & Nam, K. (2022). Predictable asset price dynamics, risk-return tradeoff, and investor behavior. Review of Quantitative Finance and Accounting, 59(2), 749-791. https://doi.org/10.1007/s11156-022-01057-9.
  • Kim, D. (2020). Bounded rationality in a P2P lending market. Review of Behavioral Finance, 13(2), 184-201. https://doi.org/10.1108/RBF-10-2019-0141.
  • Kipsaat, E. K., & Olweny, T. (2020). Influence of behavioral biases on professional investment decision in Kenya. Journal of Economics and Finance, 11(6), 15-40. https://doi.org/10.9790/5933-1106011540.
  • Knight, G. P. (2018). A survey of some important techniques and issues in multiple regression. In D. E. Kieras & M. A. Just (Ed.). New methods in reading comprehension research (pp. 13-30). New York: Routledge.
  • Kumar, S., & Goyal, N. (2016). Evidence on rationality and behavioral biases in investment decision making. Qualitative Research in Financial Markets, 8(4), 270-287. https://doi.org/10.1108/QRFM-05-2016-0016.
  • Kumari, S. K., Kumar, P., Priya, J., Surya, S., & Bhurjee, A. K. (2019). Mean-value at risk portfolio selection problem using clustering technique: A case study. In AIP conference proceedings, 2112(1). AIP Publishing. https://doi.org/10.1063/1.5112363.
  • Legenzova, R., & Leckė, G. (2022). Exploring Lithuanian real estate crowdfunding investors' rationality. Management of Organizations: Systematic Research, 87(1), 83-102. https://doi.org/10.2478/mosr-2022-0005.
  • Lusardi, A., Mitchell, O., & Curto, V. (2014). Financial literacy and financial sophistication in the older population. Journal of Pension Economics and Finance, 13(4), 347-366. https://doi.org/10.1017/S1474747214000031.
  • Mamidala, V., Kumari, P., & Singh, D. (2023). Should I invest or not? Investigating the role of biases and status quo. Qualitative Research in Financial Markets. https://doi.org/10.1108/QRFM-12-2022-0198.
  • Mention, A. L. (2019). The future of Fintech. Research-Technology Management, 62(4), 59-63. https://doi.org/10.1080/08956308.2019.1613123.
  • Mushinada, V. N. C., & Veluri, V. S. S. (2018). Investors overconfidence behaviour at Bombay stock exchange. International Journal of Managerial Finance, 14(5), 613-632. https://doi.org/10.1108/IJMF-05-2017-0093.
  • Nasri, M., Aghabayk, K., Esmaili, A., & Shiwakoti, N. (2022). Using ordered and unordered logistic regressions to investigate risk factors associated with pedestrian crash injury severity in Victoria, Australia.Journal of Safety Research, 81, 78-90. https://doi.org/10.1016/j.jsr.2022.01.008.
  • Nitani, M., Riding, A., & He, B. (2019). On equity crowdfunding: investor rationality and success factors. Venture Capital, 21(2-3), 243-272. https://doi.org/10.1080/13691066.2018.1468542.
  • Nyakurukwa, K., & Seetharam, Y. (2023). Alternatives to the efficient market hy-pothesis: An overview. Journal of Capital Markets Studies, 7(2), 111-124. https://doi.org/10.1108/JCMS-04-2023-0014.
  • Patel, E., & Kushwaha, D. S. (2020). Clustering cloud workloads: K-means vs gaussian mixture model. Procedia computer science, 171, 158-167. https://doi.org/10.1016/j.procs.2020.04.017.
  • Penz, R. F., Hörisch, J., & Tenner, I. (2022). Investors in environmental ventures want good money-and a clean conscience: How framing, interest rates, and the environmental impact of crowdlending projects influence funding decisions. Technological Forecasting and Social Change, 182, 121849. https://doi.org/10.1016/j.techfore.2022.121849.
  • Petracca, E. (2017). A cognition paradigm clash: Simon, situated cognition and the interpretation of bounded rationality. Journal of Economic Methodology, 24(1), 20-40. https://doi.org/10.1080/1350178X.2017.1279742.
  • Pierrakis, Y. (2019). Peer-to-peer lending to businesses: Investors' characteristics, investment criteria and motivation. International Journal of Entrepreneurship and Innovation, 20(4), 239-251. https://doi.org/10.1177/1465750319842528.
  • Raimundo, J., G. D. S., Palazzi, R. B., Tavares, R. D. S., & Klotzle, M. C. (2022). Market stress and herding: A new approach to the cryptocurrency market. Journal of Behavioral Finance, 23(1), 43-57. https://doi.org/10.1080/15427560.2020.1821688.
  • Ran, X., Tan, T., Phan, T. Q., & Keppo, J. (2019). The role of financial literacy in online peer-to-peer lending: An Empirical Approach. In ICISICIS 2019 proceedings. 15. AIS Electronic Library.
  • Roma, P., Petruzzelli, A. M., & Perrone, G. (2017). From the crowd to the market: The role of reward-based crowdfunding performance in attracting professional investors. Research Policy, 46(9), 1606-1628. https://doi.org/10.1016/j.respol.2017. 07.012.
  • Schinckus, C. (2011). Archeology of behavioral finance. IUP Journal of Behavioral Finance, 8(2), 7-22.
  • Sent, E. M. (2018). Rationality and bounded rationality: You can't have one without the other. European Journal of the History of Economic Thought, 25(6), 1370-1386. https://doi.org/10.1080/09672567.2018.1523206.
  • Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69(1), 99-118. https://doi.org/10.2307/1884852.
  • Smith, S. (2020). Cryptocurrencies & the financial services landscape. In S. St. Smith (Ed.). Blockchain, artificial intelligence and financial services. Future of business and finance (pp. 35-46). Springer. https://doi.org/10.1007/978-3-030-29761-9_3.
  • Sood, K., Pathak, P., & Gupta, S. (2024). How do the determinants of investment decisions get prioritized? Peeking into the minds of investors. Kybernetes.https://doi.org/10.1108/K-04-2023-0662.
  • Spindler, G. (2011). Behavioral finance and investor protection regulations. Journal of Consumer Policy, 34, 315-336. https://doi.org/10.1007/s10603-011-9165-6.
  • Suryono, R. R., Purwandari, B., & Budi, I. (2019). Peer to peer (P2P) lending problems and potential solutions: A systematic literature review. Procedia Computer Science, 161, 204-214. https://doi.org/10.1016/j.procs.2019.11.116.
  • Thaler, R. H. (2016). Behavioral economics: past, present, and future. American Economic Review, 106(7), 1577-1600. https://doi.org/10.1257/aer.106.7.1577.
  • Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.
  • Tuyon, J., & Ahmad, Z. (2018). Psychoanalysis of investor irrationality and dynamism in stock market. Journal of Interdisciplinary Economics, 30(1), 1-31. https://doi.org/10.1177/0260107917697504.
  • Urbina, D. A., & Ruiz-Villaverde, A. (2019). A critical review of homo economicus from five approaches. American Journal of Economics and Sociology, 78, 63- 93. https://doi.org/10.1111/ajes.12258.
  • Wallmeroth, J. (2019). Investor behavior in equity crowdfunding. Venture Capital, 21(2-3), 273-300. https://doi.org/10.1080/13691066.2018.1457475.
  • Wang, Y. (2024). Do cryptocurrency investors in the UK need more protection?. Journal of Financial Regulation and Compliance. https://doi.org/10.1108/JFRC-03-2023-0036.
  • Yin, H., & Yang, Q. (2022). Investor financial literacy, decision-making behavior, and stock price volatility-Evidence from behavioral experiments. Journal of Neuroscience, Psychology, and Economics, 15(2), 69. https://doi.org/10.1037/npe0000 158.
  • Zhao, Y., Zhang, W., Li, Y., & Xiong, X. (2021). Does irrational lead to higher returns? Evidence from the Chinese P2P lending market. Finance Research Letters, 39, 101608. https://doi.org/10.1016/j.frl.2020.101608.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171693571

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.