By employing a sample of 20,956 observations of non-financial SMEs headquartered in the Euro area, between 2009 and 2015, we test whether young businesses are more likely to face credit rejections from lenders than their older peers. Our findings appear to confirm our suspicions that new...

Certificates are widely used as a signaling mechanism to mitigate adverse selection when information is asymmetric. To reduce information asymmetry between lenders and borrowers, Chinese peer-to-peer (P2P) lending platforms encourage borrowers to obtain various kinds of credit certificates. As...

The financial crisis of 2007-09 has sparked keen interest in models of financial frictions and their impact on macro activity. Most models share the feature that borrowers suffer a contraction in the quantity of credit. However, the evidence suggests that although bank lending contracted during...

We use an expansive regulatory loan-level data set to analyze how the portfolios of the largest US banks have changed in response to the Dodd-Frank Act Stress Test (DFAST) requirements. We find that the portfolios of the largest banks, which are subject to stress-testing, have become more...

We use an expansive regulatory loan-level data set to analyze how the portfolios of the largest US banks have changed in response to the Dodd-Frank Act Stress Test (DFAST) requirements. We find that the portfolios of the largest banks, which are subject to stress-testing, have become more...

Which projects/firms should be the target of lending by a Public Development Bank (PDB)? What is the optimal design for the PDB's loans, and the optimal structure for delivering them? We analyze these questions in the context of a model where screening is costly to banks and underprovision of...

I study credit rationing in small firm bank relationships by using a unique data set of matched loan applications and contracts. I establish the degree of credit rationing by relating a firm's requested loan amount to the bank's granted amount. In line with theoretical predictions, credit...

Based on automated credit lines to more than two million vendors trading on Alibaba’s online retail platform, we show how the take-up of FinTech credit varies with the entrepreneur’s bank distance. Proximity to the branches of the five largest stateowned banks correlates positively with the...

Which projects/firms should be the target of lending by a Public Development Bank (PDB)? What is the optimal design for the PDB's loans, and the optimal structure for delivering them? We analyze these questions in the context of a model where screening is costly to banks and underprovision of...

The financial crisis of 2007-09 has sparked keen interest in models of financial frictions and their impact on macro activity. Most models share the feature that borrowers suffer a contraction in the quantity of credit. However, the evidence suggests that although bank lending contracted during...