Abstract
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.
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References
Carney, M. Breaking the tragedy of the horizon–climate change and financial stability Lloyd’s (29 September 2015); http://www.bankofengland.co.uk/publications/Pages/speeches/2015/844.aspx
Too Late, Too Sudden: Transition to a Low-Carbon Economy and Systemic Risk (ESRB Advisory Scientific Committee, 2016).
McGlade, C. & Ekins, P. The geographical distribution of fossil fuels unused when limiting global warming to 2 °C. Nature 517, 187–190 (2015).
Meinshausen, M. et al. Greenhouse-gas emission targets for limiting global warming to 2 °C. Nature 458, 1158–1162 (2009).
Leaton, J. Unburnable Carbon—are the World’s Financial Markets Carrying a Carbon Bubble 1–36 (Carbon Tracker Initiative, 2012).
Robins, N., Keen, A. & Night, Z. Coal and Carbon Stranded Assets: Assessing the Risk (HSBC, 2012).
Fleischman, L., Cleetus, R., Deyette, J., Clemmer, S. & Frenkel, S. Ripe for retirement: an economic analysis of the US coal fleet. Electr. J. 26, 51–63 (2013).
Caldecott, B. & Robins, N. Greening China’s Financial Markets: The Risks and Opportunities of Stranded Assets Briefing Paper 1–29 (Smith School et Enquête du PNUE, 2014).
World Resource Institute and UNEP-FI Carbon Asset Risk Discussion Framework Tech. Rep. 1–67 (2015).
Weyzig, F., Kuepper, B., van Gelder, J. W. & Van Tilburg, R. The Price of Doing Too Little Too Late Tech. Rep. 1–69 (Green European Foundation, 2014).
Dietz, S., Bower, A., Dixon, C. & Gradwell, P. Climate value at risk of global financial assets. Nat. Clim. Change 6, 676–679 (2016).
Nordhaus, W. D. Rolling the ‘DICE’: an optimal transition path for controlling greenhouse gases. Resour. Energy Econ. 15, 27–50 (1993).
Nordhaus, W. D. The economics of tail events with an application to climate change. Rev. Environ. Econ. Policy 5, 240–257 (2011).
Battiston, S., Caldarelli, G., Georg, C.-P., May, R. & Stiglitz, J. Complex derivatives. Nat. Phys. 9, 123–125 (2013).
Battiston, S. et al. Complexity theory and financial regulation. Science 351, 818–819 (2016).
Battiston, S., D’Errico, M. & Gurciullo, S. DebtRank and the network of leverage. J. Altern. Invest. 18, 68–81 (2016).
Battiston, S., Roukny, T., Stiglitz, J., Caldarelli, G. & May, R. The price of complexity. Proc. Natl Acad. Sci. USA 113, 10031–10036 (2016).
May, R. M., Levin, S. A. & Sugihara, G. Complex systems: ecology for bankers. Nature 451, 893–895 (2008).
Haldane, A. G. & May, R. M. Systemic risk in banking ecosystems. Nature 469, 351–355 (2011).
Rogelj, J. et al. Emission pathways consistent with a 2 °C global temperature limit. Nat. Clim. Change 1, 413–418 (2011).
Peters, G. P. The ‘best available science’ to inform 1.5 °C policy choices. Nat. Clim. Change 6, 646–649 (2016).
NACE Rev. 2—Statistical Classification of Economic Activities (Eurostat, 2008); http://ec.europa.eu/eurostat/web/nace-rev2
North American Industry Classification System (United States Census Bureau, 2017); http://www.census.gov/eos/www/naics
European System of National and Regional Accounts (Eurostat, 2010); http://ec.europa.eu/eurostat/web/esa-2010
IPCC Climate Change 2014: Mitigation of Climate Change (eds Edenhofer, O. et al.) (Cambridge Univ. Press, 2015).
Kriegler, E. et al. What does the 2 °C target imply for a global climate agreement in 2020? The LIMITS study on Durban Platform scenarios. Clim. Change Econ. 4, 1340008 (2013).
Battiston, S., Puliga, M., Kaushik, R., Tasca, P. & Caldarelli, G. DebtRank: too central to fail? Financial networks, the FED and systemic risk. Sci. Rep. 2, 541 (2012).
Battiston, S., Caldarelli, G., D’errico, M. & Gurciullo, S. Leveraging the network: a stress-test framework based on DebtRank. Stat. Risk Model. 33, 1–33 (2016).
Eisenberg, L. & Noe, T. H. Systemic risk in financial systems. Manage. Sci. 47, 236–249 (2001).
Battiston, S., D’Errico, M. & Visentin, G. Rethinking Financial Contagion Working paper series no. 2831143 (2016).
Basel Committee on Banking Supervision: Capital Requirements for Banks’ Equity Investments in Funds (Bank for International Settlements, 2013); http://www.bis.org/publ/bcbs266.pdf
Statistical Data Warehouse (European Central Bank, 2017); http://sdw.ecb.europa.eu
Recommendations of the Task-Force on Climate-Related Financial Disclosure (Financial Stability Board, 2016); https://www.fsb-tcfd.org/publications/recommendations-report/
Wolf, S., Schütze, F. & Jaeger, C. C. Balance or synergies between environment and economy a note on model structures. Sustainability 8, 761 (2016).
Towards Green Growth (OECD, 2011).
Shiller, R. J. Market Volatility (MIT, 1992).
Mazzucato, M. & Semmler, W. Economic Evolution, and Learning Complexity (Springer, 2002); http://doi.org/fckmx3
Irvine, P. J. & Pontiff, J. Idiosyncratic return volatility, cash flows, and product market competition. Rev. Financ. Stud. 22, 1149–1177 (2009).
Brogaard, J. & Detzel, A. The asset-pricing implications of government economic policy uncertainty. Manage. Sci. 61, 3–18 (2015).
Erickson, P. & Lazarus, M. Accounting for Greenhouse Gas Emissions Associated with the Supply of Fossil Fuels Tech. Rep. 1–4 (2013).
European Commission: Decision of 27 October 2014 determining, pursuant to Directive 2003/87/EC of the European Parliament and of the Council, a list of sectors and subsectors which are deemed to be exposed to a significant risk of carbon leakage, for the period 2015 to 2019 (notified under document C(2014) 7809); http://data.europa.eu/eli/dec/2014/746/oj
FSA The Prudential Regime for Trading Activities Tech. Rep. (Financial Services Authority, 2010).
Acknowledgements
The authors would like to thank J. E. Stiglitz and A. C. Janetos for fruitful comments on an early version of the paper, M. D’Errico for precious suggestions on macro-network data from the ECB Data Warehouse, and J. Glattfelder for help on equity holdings data extraction from Orbis. We also would like to thank A. Barkawi, P. Monnin and M. Tanaka for their comments during the Bank of England conference on Climate Change and Central Banking. S.B. acknowledges financial support from the Swiss National Fund Professorship grant no. PP00P1-144689. All the authors acknowledge the support of the European Projects Future and Emerging Technologies (FET) SIMPOL (grant no. 610704) and DOLFINS (grant no. 640772), and the European Project SEI Metrics (grant no. 649982).
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All authors contributed to the writing of the manuscript, as well as material and analysis tools. G.V. and S.B. also performed the data analysis.
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Battiston, S., Mandel, A., Monasterolo, I. et al. A climate stress-test of the financial system. Nature Clim Change 7, 283–288 (2017). https://doi.org/10.1038/nclimate3255
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DOI: https://doi.org/10.1038/nclimate3255