We present the first empirical study of loan searching strategies and loan granting decisions in a context where banks observe whether applicants have unsuccessfully applied for credit to other lenders in the past. Our identification strategy benefits from the use of granular data on loan applications and exploits the fact that evaluating lenders observe only the rejections received by a borrower up to six months before the current application. We document that past rejections diminish the probability of approval and increase the probability that a loan search is interrupted.

We show that negative interest rate policy (NIRP) has expansionary effects on credit supply through a portfolio rebalancing channel. By shifting down and flattening the yield curve, NIRP differs from rate cuts just above the zero-lower-bound and has effects similar to QE. For identification, we exploit ECB’s NIRP and the Italian credit register and, for external validity, European and U.S. datasets. NIRP affects more banks with higher ex-ante liquid assets, including net interbank positions. More exposed banks reduce liquid assets, expand credit supply, especially to financially-constrained firms, and cut loan rates, inducing firms to increase investment and the wage bill.