This paper explores a novel forward-looking approach to study the financial stability implications of climate-related transition risks. We develop an integrated micro-macro framework with a new class of scenario called delayed-uncertain pathways. An additional stochastic financial modeling layer via a jump-diffusion process is considered to capture continuously changing risks, as well as the potential of large/sudden shocks in the financial markets. We applied this approach to study transition risks in the Mexican financial sector. But the implications are global in scope, and the framework is easily adaptable to other countries. We quantify the projections of future distributions of various risk metrics and, hence, the evolving tail risks due to compounding effects from delays in transitioning to a low-carbon economy and the consequent uncertainty of the future policy path. We find that the longer the delays in transition, the larger the future tail financial risks, which could be material to the overall system.
Climate mitigation policies are being introduced around the world to limit global warming, generating new risks to the economy. This paper develops a continuous time heterogeneous agents model to study the impact of carbon pricing policy shocks on corporate default risk and the consequent transition dynamics. We derive a closed-form solution to corporate default probability based on firms' intertemporal optimization decisions and explicitly characterize the transition speed. This allows for studying policy implications in an analytically tractable way. The model is calibrated to different US corporate sectors to quantify the heterogeneous effects of carbon price shocks. While carbon-intensive sectors face increased default risks, there are notable asymmetric effects within sectors. Higher carbon prices increase default risk but also induce faster transition towards the new post-shock steady state with a highly non-linear impact. Our results suggest that once a range of possible price shocks are accounted for, the increase in the cost of capital/risk premiums might be sharply different across sectors.
Climate change presents risks and opportunities for the real economies and financial sectors of the IMF’s global membership. Understanding the risks is key to prepare for a successful transition to a lower carbon global economy. This will unlock the many opportunities for technological progress and structural transformation along the path that financial sectors around the world will need to adapt to and support. This note lays out the IMF staff’s emerging approach to assessing the impact of climate change on banking sector stability risks conducted in the context of the IMF’s Financial Sector Assessment Program (FSAP). The note starts with a primer on climate change risk, both transition and physical, explaining some of the technical terms and concepts used in this work. It explains the approach to standard risk analysis in FSAPs, and how this would be modified in broad terms to incorporate climate risk. The note then discusses different approaches to the analysis of physical versus transition risk, their implications for the macro-economy and across sectors in the real economy and different geographies, and how all these effects map into the banking sector. The note illustrates concepts with examples of applications from recent FSAPs and takes note of the many challenges confronting this work, including data gaps and uncertainty regarding climate projections and long simulation horizons in conducting the climate risk analysis. As such the note is focused on methods that IMF staff are deploying to raise awareness of the risks, and adaptation needs, including need for banks to develop tools to manage climate risks and for financial sector supervisory authorities to adequately supervise this risk.
This paper explores the financial stability implications of acute physical climate change risks using a novel approach that focuses on a severe season associated with a sequence of tropical cyclone and flood events. Our approach was recently applied to study physical risks in the Mexican financial sector, but the framework is applicable to other countries as well. We show that even if the scale of individual climate events may not be material at an aggregate national scale, considering a sequence of events could lead to potentially significant macro-financial impacts in the short term. This could occur even if none of the individual events affect the particular region(s) with highest concentrations of banking sector exposures. Our results indicate potential for even greater effects in the future given the increasing severity and frequency of extreme events from climate change. Thus, this paper highlights the importance of considering sequences of extreme physical risk events driven by climate change, rather than just individual extreme events, to better understand financial stability implications and design effective policies.
Climate mitigation policies are being introduced around the world to limit global warming, generating new risks to the economy. This paper develops a continuous time heterogeneous agents model to study the impact of carbon pricing policy shocks on corporate default risk and the consequent transition dynamics. We derive a closed-form solution to corporate default probability based on firms' intertemporal optimization decisions and explicitly characterize the transition speed. This allows for studying policy implications in an analytically tractable way. The model is calibrated to different US corporate sectors to quantify the heterogeneous effects of carbon price shocks. While carbon-intensive sectors face increased default risks, there are notable asymmetric effects within sectors. Higher carbon prices increase default risk but also induce faster transition towards the new post-shock steady state with a highly non-linear impact. Our results suggest that once a range of possible price shocks are accounted for, the increase in the cost of capital/risk premiums might be sharply different across sectors.
This paper explores a novel forward-looking approach to study the financial stability implications of climate-related transition risks. We develop an integrated micro-macro framework with a new class of scenario called delayed-uncertain pathways. An additional stochastic financial modeling layer via a jump-diffusion process is considered to capture continuously changing risks, as well as the potential of large/sudden shocks in the financial markets. We applied this approach to study transition risks in the Mexican financial sector. But the implications are global in scope, and the framework is easily adaptable to other countries. We quantify the projections of future distributions of various risk metrics and, hence, the evolving tail risks due to compounding effects from delays in transitioning to a low-carbon economy and the consequent uncertainty of the future policy path. We find that the longer the delays in transition, the larger the future tail financial risks, which could be material to the overall system.
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