电脑桌面
添加51搜公文到电脑桌面
安装后可以在桌面快捷访问

情绪波动与货币:金融科技与家庭信贷-英-51页.pdfVIP专享VIP免费优质

情绪波动与货币:金融科技与家庭信贷-英-51页.pdf_第1页
1/51
情绪波动与货币:金融科技与家庭信贷-英-51页.pdf_第2页
2/51
情绪波动与货币:金融科技与家庭信贷-英-51页.pdf_第3页
3/51
Mood Swings and Money: The Role of Financial Technology in Household Credit Demand Ran Duchin, Paul Freed, and John Hackney December 2023 Abstract Fintech lending allows borrowers to apply for loans anytime and from anywhere, complete their applications within minutes, and obtain immediate credit decisions. As such, transient mood swings that would be mitigated in a traditional loan setting can play an important role in modern household credit demand. Using hourly fluctuations in local sunshine as an instrument for sentiment, we find that positive sentiment leads to higher loan demand both at the extensive margin (more loan applications) and the intensive margin (higher loan amounts and loan-to-income ratios). The effects lead to higher default rates, especially for lower-income and inexperienced borrowers. We also find evidence consistent with self-corrective actions where individuals later withdraw their applications, suggesting that “cooling-off” periods can be an effective consumer protection mechanism. Overall, we provide some of the cleanest estimates to date that sentiment affects the demand for consumer credit. Key Words: FinTech, Consumer Credit Demand, Sentiment, Marketplace Lending, Default JEL Classifications: D12, D14, G4, G21, G23, O33  Contact: Ran Duchin, Carroll School of Management, Boston College, e-mail: duchinr@bc.edu; Paul Freed, Darla Moore School of Business, University of South Carolina, e-mail: Paul.Freed@grad.moore.sc.edu; John Hackney, Darla Moore School of Business, University of South Carolina, e-mail: john.hackney@moore.sc.edu. We thank seminar participants at the University of Washington, Old Dominion University, and the University of South Carolina for helpful comments. Electronic copy available at: https://ssrn.com/abstract=46611501 1. Introduction The advent of financial technology has fundamentally changed the landscape of households’ financial decision-making. Borrowers on online marketplace platforms can apply for loans from the comfort of their homes, day or night, complete their loan applications within minutes using their smartphone or computer, and never speak to a banker or a loan officer. Such developments, in turn, can have a material effect on overall financial decision-making. At the extensive margin, lower transaction costs can increase the consumption of credit. The unsecured consumer loan market has grown dramatically in the last decade, from $57.7 billion in 2009 to $156 billion in 2019, with marketplace lenders responsible for roughly 40% of the market.1 At the intensive margin, they can affect the quality of credit decisions and subject them to influences that more traditional settings would mitigate. In this paper, we use micro-level data from an online marketplace lending platform to study the role of sentiment and financial technology in households’ credit demand. The analyses utilize 1.4 million times...

1、当您付费下载文档后,您只拥有了使用权限,并不意味着购买了版权,文档只能用于自身使用,不得用于其他商业用途(如 [转卖]进行直接盈利或[编辑后售卖]进行间接盈利)。
2、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。
3、如文档内容存在违规,或者侵犯商业秘密、侵犯著作权等,请点击“违规举报”。

碎片内容

情绪波动与货币:金融科技与家庭信贷-英-51页.pdf

无忧公文+ 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

确认删除?
QQ
  • QQ点击这里给我发消息
回到顶部