Credit spreads rise after a monetary policy tightening, yet spread reactions are heterogeneous across firms. Exploiting information from a panel of corporate bonds matched with balance sheet data for U.S. non-financial firms, we document that firms with high leverage experience a more pronounced...

The paper shows how-in a Merton-type model with bankruptcy-the currency composition of debt changes the risk profile of a company raising a given amount of financing, and thus affects the cost of debt. Foreign currency borrowing is cheaper when the exchange rate is positively correlated with the...

This paper examines equilibrium price relationships and price discovery between credit defaul swap (CDS), bond, and equity markets for emerging market sovereign issuers. Findings suggest that CDS and bond spreads converge despite various pressures that arise in the market. In most countries,...

This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms' DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative...

This study explores the determinants of corporate bond spreads in emerging markets economies. Using a largely unexploited dataset, the paper finds that corporate bond spreads are determined by firm-specific variables, bond characteristics, macroeconomic conditions, sovereign risk, and global...

This paper studies the evolution of non-financial corporate debt among publicly listed companies in major advanced economies between 2010 and 2017. Since 2010, firms have started to rely more on corporate bond markets and have used part of their debt to increase their holdings of cash. In our...

We re-assess the view that sovereigns with a history of default are charged only a small and/or short-lived premium on the interest rate warranted by observed fundamentals. Our reassessment uses a metric of such a 'default premium' (DP) that is consistent with asymmetric information models and...