Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We use a proprietary data set on credit unions from the United Kingdom to develop an early-warning model of credit union failure. We find that a small set of financial attributes related to capital adequacy, asset quality, earnings performance, and liquidity, augmented with unemployment rates, reliably identifies failures within one year. Our results support the existing literature which, to date, has largely relied on data from the United States. This work therefore provides further evidence for establishing early-warning criteria for use by international regulators.