Opening the floodgates? Modelling spillovers from flood insurance protection gaps to UK mortgages

Will Banks and Kemal Erçevik

When extreme weather hits, households typically turn to insurers to cushion the financial blow. But rising temperatures and greater exposure in high-risk areas could test the insurance sector’s capacity to absorb such losses. As the Financial Policy Committee has highlighted, climate change could create insurance protection gaps, leaving households vulnerable and shifting risks across the financial system. We have built a model to estimate potential protection gaps, finding that – under conservative assumptions – the share of UK mortgagors uninsured could increase from 5% today to around 7%–10% in 2050, or up to 16% following a severe flood event. While this would have substantial welfare implications, our model suggests the aggregate impact on lenders would be small compared to previous financial crises.

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Modelling banking sector shocks and unconventional policy: new wine in old bottles?

James Cloyne, Ryland Thomas and Alex Tuckett.

The financial crisis has thrown up a huge number of empirical challenges for academic and professional economists.  The search is on for a framework with a rich enough variety of financial and real variables to examine both the financial shocks that caused the Great Recession and the unconventional policies, such as Quantitative Easing (QE), that were designed to combat it.   In a new paper we show how using an older structural econometric modelling approach can be used to provide insights into these questions in ways other models currently cannot.  So what are the advantages of going back to an older tradition of modelling?
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