Social capital, phone call activities and borrower default in mobile micro-lending
Social capital, phone call activities and borrower default in mobile micro-lending
复制标题
移动小额贷款中的社会资本、电话活动与借款人违约
DOI：
10.1016/j.dss.2022.113802
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发表时间：
2022-05
影响因子：
7.5
通讯作者：
Yiwei Zhang
中科院分区：
文献类型：
--
作者：
Weihe Gao;Yong Liu;Hua Yin;Yiwei Zhang
本研究探讨了借款人的社会资本如何影响新兴的移动小额贷款市场中的贷款违约。我们分析全球最大的移动借贷平台之一提供的个人层面的交易数据。我们专注于识别基于行为的金融交易预测因素，认为手机通话活动构成了衡量社会资本的重要指标。借鉴社会资本理论的理论基础，我们识别并研究了两种类型的呼叫活动：呼入呼叫和呼出呼叫、强关系和弱关系。我们的分析表明，借款人通常接到的来电越多，他或她拖欠贷款的可能性就越小。然而，借款人拨打的电话越多，发生违约的可能性就越大。我们进一步发现，与社会关系较强的呼叫活动相比，与社会关系较弱相关的呼叫活动对贷款违约的预测能力更强。这些发现证明了电话活动与消费者财务决策的相关性。它们为小额贷款公司提供了除信用评分和收入等“硬信息”之外评估借款人信用度的宝贵替代方案，并进一步帮助他们做出更有效的贷款决策。 • 电话活动可以有效地用作社会资本的衡量标准，以解释和预测借款人违约。 • 利用全球最大的移动借贷平台之一提供的个人层面的交易数据。 • 来电和去电对社会资本以及借款人违约有不同的影响。 • 与社会关系较强的呼叫活动相比，与社会关系较弱相关的呼叫活动对贷款违约的预测能力更强。
This study examines how the social capital of borrowers affects loan defaults in the burgeoning mobile micro-lending market. We analyze the individual-level transaction data provided by one of the world's largest mobile lending platforms. Focusing on identifying behavior-based predictors of financial transactions, we propose that mobile phone calling activities constitute a valuable measure of social capital. Drawing on the theoretical foundation of social capital theory, we identify and study two types of calling activities: incoming calls and outgoing calls, strong ties and weak ties. Our analysis shows that the more incoming calls a borrower usually receives, the less likely he or she is to default on a loan. However, the more outgoing calls a borrower makes, the more likely default will occur. We further find that calling activities associated with stronger social ties have greater predictive power for loan defaults than those associated with weaker ties. These findings demonstrate the relevance of phone call activities in consumers' financial decisions. They provide micro-lending companies with valuable alternatives for assessing borrower creditworthiness beyond “hard information”, such as credit scores and income, and further help them make more effective loan decisions. • Phone call activities can be used effectively as a measure of social capital to explain and predict borrower default. • Individual-level transaction data provided by one of the world's largest mobile lending platforms are utilized. • Incoming and outgoing calls have different implications for social capital, and thus borrower default. • Calling activities associated with stronger social ties have greater predictive power for loan defaults than those associated with weaker ties.
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DOI：
10.2139/ssrn.209189
发表时间：
1999-11
期刊：
Risk Management & Analysis in Financial Institutions eJournal
影响因子：
--
作者：
David B. Gross;Nicholas S. Souleles
通讯作者：
David B. Gross;Nicholas S. Souleles
影响因子：
7.7
作者：
Xu, Jennifer J.;Chau, Michael
通讯作者：
Chau, Michael
DOI：
--
发表时间：
2004
期刊：
--
影响因子：
--
作者：
Andrea Galeotti-;José Luis Moraga-González-
通讯作者：
Andrea Galeotti-;José Luis Moraga-González-
影响因子：
6.1
作者：
VUONG, QH
通讯作者：
VUONG, QH
DOI：
10.2139/ssrn.3102984
发表时间：
2018-05
期刊：
Microeconomics: Asymmetric & Private Information eJournal
影响因子：
--
作者：
B. Vallée;Yao Zeng
通讯作者：
B. Vallée;Yao Zeng