
We show that exposure from past business transactions – risk overhang – can reduce activity in related business lines, sometimes to the point where no new trade occurs. We focus primarily on the role of overhang in nonlife insurance market disruptions. Our model predicts that the relative impact, duration, and character of supply disruptions are related to the extent of overhang. These predictions are consistent with differences between the mid-1980s liability insurance crisis and the early-1990s catastrophe reinsurance crisis. The overhang model predicts attributes of these crises that prior explanations relying on adverse selection do not. We also discuss applications of the overhang model to disruptions in lending and securities markets.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
