Commodity Futures Trading Commission

U.S. Gets a Start on Climate-related Financial Risk

Co-authored with Richard Berner, NYU Stern Clinical Professor of Finance and Co-Director, Volatility and Risk Institute.

Many sources of risk threaten the U.S. financial system. Pandemic risk and cyber risk are at or near the top of our list of nightmares. Yet, with the UN Climate Change conference (COP26) under way in Glasgow, attention is shifting to efforts aimed at limiting the economic and financial damage from climate change, including a timely new “Report on Climate-related Financial Risk” from the U.S. Financial Stability Oversight Council (FSOC).

As the Report makes clear, U.S. policymakers need a far better understanding of climate-related financial risk. Indeed, when President Biden issued an executive order in May instructing financial regulators to conduct a thorough risk assessment, the United States already was behind other advanced economies. As an initial response to the President’s directive, the Report catalogs the range of climate risk threats, describes actions individual U.S. regulators have begun taking to address them, and lists many things that still need to be done. By setting priorities, the FSOC is now putting climate change “squarely at the forefront of the agenda of its member agencies.”

In this post, we highlight three themes in the Report: (1) the ongoing rise of physical climate risk; (2) the conceptual challenges associated with measurement, as well as the data gaps; and (3) the benefits of scenario analysis as a tool for assessing the financial stability risks arising from climate change. The key lesson that we draw from scenario analysis is that a financial system resilient to a range of other shocks is more likely to be resilient against climate risk. Put differently, a less-resilient financial system is vulnerable to all types of shocks, including those arising from climate change.

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Stress Testing Financial Networks: The Case of CCPs

Following the crisis of 2007-09, in which AIG’s bilateral derivatives trades played a notable role, the G20 leaders called for central clearing of standardized derivatives. The resulting shift has been dramatic: central counterparties (CCPs) now clear about three-fourths of interest rate contracts, up from less than one-fourth a decade earlier (see Faruqui, Huang and Takáts).

By substituting a CCP as the buyer to every seller and the seller to every buyer, central clearing mutualizes and can—with appropriate margining, trade compression, position liquidation procedures, and reporting—reduce counterparty risk (see Tuckman). CCPs also contribute to financial resilience by promoting uniform margin standards, reducing collateral and liquidity needs, and making risk concentrations (like that of AIG in the run-up to the crisis) more transparent.

At the same time, the shift to central clearing has concentrated risk in the CCPs themselves. Reflecting economies of scale and scope, as well as network externalities, a few CCPs serving global clearing needs have grown enormous. For example, as of the last report at end-September 2018, open interest at LCH Clearnet exceeded $250 trillion. Moreover, the clearing activity of some CCPs lacks any short-run substitute. As a result, to avoid disrupting large swathes of the global financial system, any recovery or resolution plan for these CCPs must ensure continuity of service (see CCP Resolution Working Group presentation to the OFR Financial Research Advisory Committee). Finally, CCPs are the most interconnected intermediaries on the planet, making them channels for transmission and amplification of financial distress within and across jurisdictions. As then-Governor Powell clearly states in the opening quote, the safety of CCPs is central to the resilience of the global financial system.

We and Richard Berner have been studying how regulators use stress tests (see our earlier posts here and here) to assess the resilience of financial networks, including banks and nonbanks. In our joint work, we focus on CCPs due to their centrality, their extreme interconnectedness and their lack of substitutability. This post is based on our research….

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