2020
DOI: 10.1093/rfs/hhaa127
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User Interface and Firsthand Experience in Retail Investing

Abstract: Using data from a major online peer-to-peer lending platform, we document that, due to time pressure, investors appear to focus on interest rates and only partially account for credit ratings in their decisions. The effect is stronger for mobile-based investors than for PC-based ones. Our evidence suggests that this variation is caused by the difference in information content on the interfaces rather than differences in the devices’ physical attributes per se. Investors improve their decisions by slowing down … Show more

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Cited by 11 publications
(22 citation statements)
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“…Collectively, this evidence suggests that the smaller screen size of smartphones does not drive our main results. Our findings are consistent with evidence in Liao et al (2020) that differences in the devices' physical attributes per se do not drive investor behavior in…”
Section: Does Device Screen Size Drive Our Results?supporting
confidence: 91%
“…Collectively, this evidence suggests that the smaller screen size of smartphones does not drive our main results. Our findings are consistent with evidence in Liao et al (2020) that differences in the devices' physical attributes per se do not drive investor behavior in…”
Section: Does Device Screen Size Drive Our Results?supporting
confidence: 91%
“…They should rely on all available information, including verified and unverifiable information, to screen borrowers (Michels, 2012). They also depend on the critical factors to invest with fast thinking under time pressure (Liao, Wang, Xiang, Yan, & Yang 2020). It still has a massive issue of information asymmetry on the anonymous lending market even in the Internet age.…”
Section: Information Asymmetry and Decision Makingmentioning
confidence: 99%
“…As of September 2020, more than 1 million lenders and 4 million borrowers make a deal on Renrendai, and the total funded amount is 116 billion CNY. Renrendai timely and fairly discloses information, and it has been an important data source to study the Chinese online credit market (Chen, Huang, & Ye, 2020;Jiang, Liu, & Lu, 2020;Li, Deng, & Li, 2020;Liao, Wang, Xiang, Yan, & Yang, 2020;Wang, Zhao, & Shen, 2021;Xu, Hilliard, & Barth, 2020). Renrendai provides unsecured, on-site verified, and joint-liability credits.…”
Section: Datamentioning
confidence: 99%
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