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Endogenous product differentiation in credit markets: What do borrowers pay for?
This paper studies strategies pursued by banks in order to differentiate their services and soften competition. More specifically we analyze whether bank's ability to avoid losses, its capital ratio, or bank size can be used as strategic variables to make banks different and increase the interest rates banks can charge their borrowers in equilibrium. Using a panel of data covering Norwegian banks between 1993 and 1998 we find empirical support that the ability to avoid losses, measured by the ratio of loss provisions, may act as such a strategic variable. A likely interpretation is that borrowers use high-quality low-loss banks to signal their creditworthiness to other stakeholders. This supports the hypothesis that high-quality banks serve as certifiers for their borrowers. Furthermore, this suggests that not only lenders and supervisors but also borrowers may discipline banks to avoid losses.
Impact of ethical behavior on syndicated loan rates
This paper shows that borrowers’ ethical behavior leads lending banks to loosen financing conditions when setting loan rates. We advance the banking literature by stressing that the previous financing loosening is enhanced when there is similarity of lenders and borrowers along their ethical domain given that such similarity brings about familiarity and trust in non-opportunistic behavior between them, thereby contributing to lower information frictions. Unique data composed of 12,545 syndicated loan facilities from 19 countries for the period 2003–2007 indicate a 24.8% reduction in the mean spread associated with an increase of one standard deviation in the degree of borrowers’ ethical behavior from its mean value. Such reduction is enhanced to 37.6% when lenders also behave in an ethical way. Results withstand a battery of robustness tests including the use of alternative databases that capture the effect of the 2008 financial crisis, financing alternatives such as equity financing as well as nonparametric estimations.