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Keywords:climate finance 

Working Paper
What are Large Global Banks Doing About Climate Change?

We review the "climate action plans" of Global Systemically Important Banks (GSIBs) and the progress they are making toward achieving them. G-SIBs have identified the drivers of climate risk and their transmission channels to credit and other risks. Additionally, some have started to measure and model these risks. While most GSIBs have committed to fully offsetting their emissions by mid-century, they are only beginning to measure financed emissions resulting from their loans and investments, which comprise the vast majority of their emissions. G-SIBs have also committed to increase green ...
International Finance Discussion Papers , Paper 1368

Working Paper
Pricing Poseidon: Extreme Weather Uncertainty and Firm Return Dynamics

We investigate the uncertainty dynamics surrounding extreme weather events through the lens of option and stock markets by identifying market responses to the uncertainty regarding both potential hurricane landfall and subsequent economic impact. Stock options on firms with establishments exposed to the landfall region exhibit increases in implied volatility of 5-10 percent, reflecting impact uncertainty. Using hurricane forecasts, we show that landfall uncertainty and potential impact uncertainty are reflected in prices before landfall. We find no evidence that markets incorporate better ...
Finance and Economics Discussion Series , Paper 2019-054

Working Paper
Leveraging the Disagreement on Climate Change: Theory and Evidence

We theoretically and empirically investigate how climate risks affect collateralized debt markets. First, we develop a debt model where agents have different beliefs over a long-run risk. In contrast with existing two-period competitive-equilibrium models, our infinite-horizon competitive-search model predicts more pessimistic agents are more likely to make leveraged investments on risky collateral assets. They also tend to use longer maturity debt contracts, which are more exposed to the long-run risk. Second, employing large data on real estate and mortgage transactions, combined with high ...
Working Paper , Paper 23-01

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