Employing 3-Stage Least Squares (SLS) regression on the aggregate dataset of 120 countries from 2004 to 2017, this study is the first to investigate whether credit information sharing exerts impact on nonperforming loans of banking system and economic growth rate. First, our findings provide...

We show that banks manipulate the credit ratings of their borrowers before being compelled to share them with competing banks. Using a unique feature on the timing of information disclosure of a public credit registry, we disentangle the effect of manipulation from learning of credit ratings. We...

The study documented in this paper utilises a probit regression analysis to empirically investigate the key macroeconomic factors that influence credit risk in the peer-to-peer (P2P) lending market. By aggregating the United States (US) state-level data with LendingClub’s loan book covering...

We exploit a nation-wide introduction of mandatory disclosure of borrowers' total credit exposures and show that sharing such information increases credit access independent of borrowers' history. Differentiating between borrowers applying to competitor banks and those reapplying to their...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...

We develop a four-factor model intended to capture size, value, and credit rating transition patterns in excess returns for a panel of predominantly mid- and large-cap entities. Using credit transition matrices and rating histories from 48 US issuers, we provide evidence to support a...