nature of climate risk (i.e. deep uncertainty, non-linearity and endogeneity), and of financial risks (interconnectedness and …, sovereign and corporate bonds), climate scenarios conditioned risk metrics (such as the Climate Spread and the Climate Value-at-Risk …). These allow us to introduce forward-looking climate risk scenarios in the valuation of counterparty risk, in the probability …

techniques on yearly summed data. Using EM-DAT data, we enrich the analysis of natural disasters' risk by characterizing the … normalization procedure to control for exposure (e.g. number and value of assets at risk, inflation), so to ensure spatial and …

-2017, we estimate the price effects of three flood risk signals: 1) the Biggert-Waters Flood Insurance Reform Act, which …

ecosystems play in reducing risk to coastal communities now and with future sealevel rise. These analyses were used to inform … post-disaster reconstruction and coastal resilience building efforts as well as climate change adaptation strategies. Our … goal is to quantify the role that coastal habitat plays in reducing risk to people and shoreline under current conditions …

in areas at high risk of flooding. At 6 basis points, the average risk premium does not adequately reflect the … on their loans than non-disaster firms. Floods reduce securitised credit in the local markets, suggesting that physical …

these risks is challenging, several commercial data providers and academics have started to develop physical risk scores at … the firm level. This paper compares six physical risk scores, which rely on either model-based or language …-based methodologies. We find a substantial divergence between these scores, also among those based on similar methodologies. Risk scores …