Sarah Meier will present as part of the University of Birmingham’s seminar series on The Quantitative Methods for Finance.

We estimate the country-level risk of extreme wildfires defined by burned area (BA) for Mediterranean Europe and carry out a cross-country comparison. To this end, we avail of the European Forest Fire Information System (EFFIS) geospatial data from 2006 to 2019 to perform an extreme value analysis. More specifically, we apply a point process characterisation of wildfire extremes using maximum likelihood estimation. By modelling covariates, we also evaluate potential trends and correlations with commonly known factors that drive or affect wildfire occurrence, such as the Fire Weather Index as a proxy for meteorological conditions, population density, land cover type, and seasonality. We find that the highest risk of extreme wildfires is in Portugal (PT), followed by Greece (GR), Spain (ES), and Italy (IT) with a 10-year BA return level of 50,338 ha, 33,242 ha, 25,165 ha, and 8,966 ha, respectively. Coupling our results with existing estimates of the monetary impact of large wildfires suggests expected losses of €162–439 million (PT), €81–219 million (ES), €41–290 million (GR), and €18–78 million (IT) for such 10-year return period events.

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