We explore the design of climate stress tests to assess and manage macro-prudential risks from climate change in the financial sector. We review the climate stress scenarios currently employed by regulators, highlighting the need to (i) consider many transition risks as dynamic policy choices;...

This paper considers a simple model of credit risk and derives the limit distribution of losses under different assumptions regarding the structure of systematic and idiosyncratic risks and the nature of firm heterogeneity. The theoretical results obtained indicate that if firm-specific risk...

This interdisciplinary paper explains how mathematical techniques of stochastic optimal control can be applied to the recent subprime mortgage crisis. Why did the financial markets fail to anticipate the recent debt crisis, despite the large literature in mathematical finance concerning optimal...

Suppose that a group of agents having divergent expectations can share risks efficiently. We examine how this group should behave collectively to manage these risks. We show that the beliefs of the representative agent is in general a function of the group.s wealth level, or equivalently, that...

We study the interplay between tenure decisions, stock market investment and the public social security system. Housing equity not only serves a dual purpose as a consumption good and as an asset, but also provides insurance to buffer various risks in retirement. Our life cycle model captures...

We study the impact fintech startups have on the performance and the default risk of traditional financial institutions. We find a positive relationship between fintech startup formations and incumbent institutions' performance for the period from 2005 to 2018 and a large sample of financial...

Using Credit Default Swap spreads, we construct a forward-looking, market-implied carbon risk factor and show that carbon risk affects firms' credit spread. The effect is larger for European than North American firms and varies substantially across industries, suggesting the market recognises...

This paper uncovers if and how insurance companies react to shocks to collateral in their portfolio of securitized assets. We address this question in the context of commercial real estate cash flow shocks, which are informationally opaque to holders of commercial mortgage-backed securities...

We show that the recently released text-based artificial intelligence tool GPT-4 can provide suitable financial advice. The tool suggests specific investment portfolios that reflect an investor's individual circumstances such as risk tolerance, risk capacity, and sustainability preference....

We study the investor behavior on a leading peer-to-business lending platform and find evidence of two new investment biases - a default shock bias and a deep market bias. First, we find investors to stop investing in new loans and to cease from diversifying their portfolio after experiencing a...