Global banks use their global balance sheets to respond to local monetary policy. However, sources and uses of funds are often denominated in different currencies. This leads to a foreign exchange (FX) exposure that banks need to hedge. If cross-currency flows are large, the hedging cost...

We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...

We analyze how financial crises affect international financial integration, exploiting euro area proprietary interbank data, crisis and monetary policy shocks, and variation in loan terms to the same borrower on the same day by domestic versus foreign lenders. Crisis shocks reduce the supply of...

We use transaction-level data on foreign exchange (FX) forward contracts for the period 2014 through 2016 in conjunction with supervisory balance sheet information to study the drivers of banks' dollar hedging costs. Comparing contracts of the same maturity that are initiated during the same...

We develop a new targeted maximum likelihood estimation method that provides improved forecasting for misspecified linear autoregressive models. The method weighs data points in the observed sample and is useful in the presence of data generating processes featuring structural breaks, complex...

We introduce a dynamic network model of interbank lending and estimate the parameters by indirect inference using network statistics of the Dutch interbank market from mid-February 2008 through April 2011. We find that credit-risk uncertainty and peer monitoring are significant factors in...