A Climate Stress-Test of the Financial System

The urgency of estimating the impact of climate risks on the financial system is increasingly recognized among scholars and practitioners. By adopting a network approach to financial dependencies, we look at how climate policy risk might propagate through the financial system. We develop a network-based climate stress-test methodology and apply it to large Euro Area banks in a ‘green' and a ‘brown' scenario. We find that direct and indirect exposures to climate-policy-relevant sectors represent a large portion of investors' equity portfolios, especially for investment and pension funds. Additionally, the portion of banks' loan portfolios exposed to these sectors is comparable to banks' capital. Our results suggest that climate policy timing matters. An early and stable policy framework would allow for smooth asset value adjustments and lead to potential net winners and losers. In contrast, a late and abrupt policy framework could have adverse systemic consequences.

[1]  William D. Nordhaus,et al.  Rolling the ‘DICE’: an optimal transition path for controlling greenhouse gases , 1993 .

[2]  Larry Eisenberg,et al.  Systemic Risk in Financial Networks , 1999, Manag. Sci..

[3]  Paul J. Irvine,et al.  Idiosyncratic Return Volatility, Cash Flows, and Product Market Competition , 2005 .

[4]  George Sugihara,et al.  Complex systems: Ecology for bankers , 2008, Nature.

[5]  N. Meinshausen,et al.  Greenhouse-gas emission targets for limiting global warming to 2 °C , 2009, Nature.

[6]  Keywan Riahi,et al.  Emission pathways consistent with a 2[thinsp][deg]C global temperature limit , 2011 .

[7]  R. May,et al.  Systemic risk in banking ecosystems , 2011, Nature.

[8]  William D. Nordhaus,et al.  The Economics of Tail Events with an Application to Climate Change , 2011, Review of Environmental Economics and Policy.

[9]  G. Caldarelli,et al.  DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk , 2012, Scientific Reports.

[10]  P. Erickson,et al.  Accounting for Greenhouse Gas Emissions Associated with the Supply of Fossil Fuels , 2013 .

[11]  Jeff Deyette,et al.  Ripe for Retirement: An Economic Analysis of the U.S. Coal Fleet , 2013 .

[12]  Keywan Riahi,et al.  WHAT DOES THE 2 C TARGET IMPLY FOR A GLOBAL CLIMATE AGREEMENT IN 2020? THE LIMITS STUDY ON DURBAN PLATFORM SCENARIOS , 2013 .

[13]  W. Härdle,et al.  Implied basket correlation dynamics , 2014, 2009.09770.

[14]  P. Ekins,et al.  The geographical distribution of fossil fuels unused when limiting global warming to 2 °C , 2015, Nature.

[15]  Jonathan Brogaard,et al.  The Asset-Pricing Implications of Government Economic Policy Uncertainty , 2015, Manag. Sci..

[16]  Stefano Battiston,et al.  Leveraging the network: A stress-test framework based on DebtRank , 2015, 1503.00621.

[17]  S. Battiston,et al.  Rethinking Financial Contagion , 2016, 1608.07831.

[18]  Carlo Jaeger,et al.  Balance or Synergies between Environment and Economy—A Note on Model Structures , 2016 .

[19]  Simon Dietz,et al.  ‘Climate value at risk’ of global financial assets , 2016 .

[20]  Guido Caldarelli,et al.  The price of complexity in financial networks , 2015, Proceedings of the National Academy of Sciences.

[21]  M. Scheffer,et al.  Complexity theory and financial regulation , 2016, Science.

[23]  Stefano Battiston,et al.  DebtRank and the Network of Leverage , 2016, The Journal of Alternative Investments.

[24]  G. Peters The 'best available science' to inform 1.5 [deg]C policy choices , 2016 .