How Individual Investors React to Negative Events in the FinTech Era? Evidence from China’s Peer-to-Peer Lending Market

نویسندگان

چکیده

Inexperienced individual investors are the main players in emerging FinTech industry, and also suffer from frequent negative events markets. With 3,110 467,594 transaction data of China’s peer-to-peer lending market 2015 to 2018, this paper analyzes how different types platform affect decision-making investors. We find that only have a significant reaction moral hazard exposure such as platforms absconding, with relatively ignorance other events. The effect is rapid but short-lived, shows differences among background attributes. By mediation analysis, we public attention can be mediator explain pattern impact absconding on Related risk prevention, regulation, investor education issues discussed further suggestions put forward for both regulators.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Gender Discrimination in Online Peer-to-Peer Credit Lending: Evidence from Lending Platform in China

Gender discrimination in accessing financial resources is a mounting concern in developing countries, but empirical evidence of such discrimination is limited. Using data collected from PPdai.com, one of the largest P2P lending platforms in China, we investigate potential gender discrimination in online P2P credit lending market in China. The results illustrate that female borrowers are more li...

متن کامل

Consumer-Lending Discrimination in the FinTech Era∗

Loan officers may discriminate based on facial features. Algorithmic scoring may imply disparate impact due to the inappropriate use of big data by FinTech lenders. To investigate these discrimination channels, we estimate a treatment-based OaxacaBlinder decomposition based on the unique mortgage-default-risk setting of the GSEs. We find that lenders reject African-American and Hispanic applica...

متن کامل

Who can get money? Evidence from the Chinese peer-to-peer lending platform

This paper explores how borrowers’ financial and personal information, loan characteristics and lending models affect peer-to-peer (P2P) loan funding outcomes. Using a large sample of listings from one of the largest Chinese online P2P lending platforms, we find that those borrowers earning a higher income or who own a car are more likely to receive a loan, pay lower interest rates, and are les...

متن کامل

Search and herding effects in peer-to-peer lending: Evidence from Prosper.com

I examine loan data from Prosper.com—a website which allows borrowers to post loans and for lenders to bid on those loans. The Prosper market somewhat resembles the theoretical model of search, herding, and crowding in a large market described in Berkovich and Tayon (2009). That model predicts that assets with high and low prices have high variance in the difference between price and true value...

متن کامل

Financial Intermediary Competition, Information Acquisition and Moral Hazard: Evidence from Peer-to-peer Lending Platforms

I use unique datasets from peer-to-peer lending platforms and a platform entry event to study competition among financial intermediaries. Under competition, the risk-adjusted interest rate decreases for safe borrowers but increases for risky borrowers, and the incumbent platform becomes less prudent in borrower screening, and the corresponding loan performance is aggravated. Competition distort...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Theoretical and Applied Electronic Commerce Research

سال: 2021

ISSN: ['0718-1876']

DOI: https://doi.org/10.4067/s0718-18762021000100105