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A clientele effect in online lending markets: Evidence from the comovement between investor sentiment and online lending rates

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  • Chen, Rongda
  • Xu, Guorui
  • Xu, Feng
  • Jin, Chenglu
  • Yu, Jingjing

Abstract

This paper examines how online lending investor sentiment (OLIS) and investors’ heterogeneous requirements on online lending platforms’ compliance interact to affect online lending rates. Online lending platforms can be divided into different groups according to their compliance clientele, such as state-capital-platforms, listed-company-platforms, banking-platforms, venture-capital-platforms and private-platforms. Using data of platform characteristics and online lending rates in China, we find that online lending investor sentiments and online lending rates vary across the five groups of online lending platforms. Thus, there will be misleading if we use the investor sentiment constructed based on the whole online lending market to study the comovement between investor sentiment and online lending rates of each classification of platforms. We further find the evidence on the clientele effect in online lending market. Particularly, investor sentiment has less impact on online lending rates among platforms invested by investors with stronger requirement on the platforms’ compliance.

Suggested Citation

  • Chen, Rongda & Xu, Guorui & Xu, Feng & Jin, Chenglu & Yu, Jingjing, 2022. "A clientele effect in online lending markets: Evidence from the comovement between investor sentiment and online lending rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:intfin:v:76:y:2022:i:c:s1042443121001682
    DOI: 10.1016/j.intfin.2021.101461
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    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Kent Daniel & David Hirshleifer, 2015. "Overconfident Investors, Predictable Returns, and Excessive Trading," Journal of Economic Perspectives, American Economic Association, vol. 29(4), pages 61-88, Fall.
    3. Denis, Diane K. & McConnell, John J., 2003. "International Corporate Governance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(1), pages 1-36, March.
    4. Muñoz, Fernando & Vargas, María & Vicente, Ruth, 2014. "Fund flow bias in market timing skill. Evidence of the clientele effect," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 257-269.
    5. Aboody, David & Even-Tov, Omri & Lehavy, Reuven & Trueman, Brett, 2018. "Overnight Returns and Firm-Specific Investor Sentiment," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 53(2), pages 485-505, April.
    6. Kedar-Levy, Haim & Yu, Xiaoyan & Kamesaka, Akiko & Ben-Zion, Uri, 2010. "The impact of daily return limit and segmented clientele on stock returns in China," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 223-236, September.
    7. Fong, Kingsley & Krug, Juliane D. & Leung, Henry & Westerholm, Joakim P., 2020. "Determinants of household broker choices and their impacts on performance," Journal of Banking & Finance, Elsevier, vol. 112(C).
    8. Ftiti, Zied & Hadhri, Sinda, 2019. "Can economic policy uncertainty, oil prices, and investor sentiment predict Islamic stock returns? A multi-scale perspective," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 40-55.
    9. Jun, Xiao & Li, Mingsheng & Shi, Jing, 2014. "Volatile market condition and investor clientele effects on mutual fund flow performance relationship," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 310-334.
    10. Jinfang Li & Chunpeng Yang, 2017. "The cross-section and time-series effects of individual stock sentiment on stock prices," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4806-4815, October.
    11. Canepa, Alessandra & de la O. González, María & Skinner, Frank S., 2020. "Hedge fund strategies: A non-parametric analysis," International Review of Financial Analysis, Elsevier, vol. 67(C).
    12. Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
    13. Xuanjuan Chen & Jing-Zhi Huang & Zhenzhen Sun & Tong Yao & Tong Yu, 2020. "Liquidity Premium in the Eye of the Beholder: An Analysis of the Clientele Effect in the Corporate Bond Market," Management Science, INFORMS, vol. 66(2), pages 932-957, February.
    14. Hirshleifer, David & Daniel, Kent, 2015. "Overconfident investors, predictable returns, and excessive trading," MPRA Paper 69002, University Library of Munich, Germany.
    15. Dashan Huang & Fuwei Jiang & Jun Tu & Guofu Zhou, 2015. "Investor Sentiment Aligned: A Powerful Predictor of Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 791-837.
    16. Pettit, R. Richardson, 1977. "Taxes, transactions costs and the clientele effect of dividends," Journal of Financial Economics, Elsevier, vol. 5(3), pages 419-436, December.
    17. Grant, Andrew & Jarnecic, Elvis & Su, Mark, 2015. "Asymmetric effects of sell-side analyst optimism and broker market share by clientele," Journal of Financial Markets, Elsevier, vol. 24(C), pages 49-65.
    18. CURATOLA, Giuliano & DONADELLI, Michael & KIZYS, Renatas & RIEDEL, Max, 2016. "Investor Sentiment and Sectoral Stock Returns: Evidence from World Cup Games," Finance Research Letters, Elsevier, vol. 17(C), pages 267-274.
    19. Ging‐Ginq Pan & Yung‐Ming Shiu & Tu‐Cheng Wu, 2018. "Analysis of the clientele effect and the information content of short‐term index option returns in Taiwan," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(6), pages 715-730, June.
    20. Benhabib, Jess & Liu, Xuewen & Wang, Pengfei, 2016. "Sentiments, financial markets, and macroeconomic fluctuations," Journal of Financial Economics, Elsevier, vol. 120(2), pages 420-443.
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