Journal of Money Credit and Banking最新文献

What happens when banks compete with deposit and loan contracts contingent on macro-economic shocks? The private sector insures the banking system efficiently against crises through such contracts when failing banks go bankrupt. When risks are large, banks may shift part of the risk to depositors who receive state-contingent contracts. In contrast, when failing banks are rescued, new phenomena such as risk magnification emerge. Depositors receive noncontingent contracts, while loan contracts demand high repayment in good times and low repayment in bad times. Banks overinvest and generate large macro-economic risks, even if the underlying productivity risk is small or zero.

Using supervisory data on small and midsized nonfinancial enterprises (SMEs), we find that those SMEs with higher leverage faced tighter constraints in accessing bank credit after the COVID-19 outbreak in spring 2020. Specifically, SMEs with higher pre-COVID leverage obtained a smaller volume of new loans and had to pay a higher spread on them during the pandemic period. Consistent with an inward shift in loan supply, these effects were concentrated in loans originated by banks with below-median capital buffers. Highly levered SMEs that relied on low-capital large banks for funding before the pandemic were not able to substitute to other sources of debt financing and thus experienced more of a reduction in total debt as well as a decline in investment and employment. On the other hand, the unprecedented public support, especially the Paycheck Protection Program (PPP), mitigated the adverse real effect stemming from bank credit constraints.

We estimate a New Keynesian model incorporating two notable features: bounded rationality and the zero lower bound on the nominal interest rate. Our Bayesian estimation of a nonlinear model shows that the model with bounded rationality better fits the U.S. data than its rational expectations counterpart, and that both households and firms exhibit a substantial degree of bounded rationality. Moreover, we demonstrate that bounded rationality expands a parameter region in which the model can be estimated and weakens the power of forward guidance.

We examine ways to describe the maturity structure of public debts using few parameters. We compile a novel data set of all promised future payments for U.S. and UK government debt from every month since 1869, and more recently for Peru, Poland, Egypt, and Nigeria. We show there is a unique parametric form which does not arbitrarily restrict debt issuance. We use this model to parsimoniously describe the evolution of public debt maturities and to characterize the relationship between maturity and the term structure of interest rates in the United States since 1940.

I study the “bank lending channel” using the 2004 repatriation tax holiday as a natural experiment. I isolate the effect of the repatriated funds on loan supply by (i) comparing the differences in lending between multinational and domestic banks pre- and postrepatriation and (ii) using the change in cash holdings abroad as an instrument for the repatriated funds. My results support the existence of the “bank lending channel.” I document that each additional repatriated dollar led to an increase of $0.04 in lending, which is driven entirely by commercial and industrial loans.

The U.S. Survey of Professional Forecasters produces precise and timely point forecasts for key macro-economic variables. However, the accompanying density forecasts are mostly conducted for “fixed events.” For example, in each quarter, panelists predict output growth and inflation for the current calendar year and the next, hence the forecast horizon changes with each survey round. This limits the forecasts' usefulness to policymakers, researchers, and market participants. We propose a density combination approach that weights fixed-event density forecasts, aiming at obtaining a correctly calibrated fixed-horizon density forecast. We show that our method produces competitive density forecasts relative to widely used alternatives.