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Climate change implications for the catastrophe bonds market: An empirical analysis

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  • Morana, Claudio
  • Sbrana, Giacomo

Abstract

Since their introduction in the mid-1990s, the return per unit of risk or multiple on catastrophe (cat) bonds has steadily declined. This paper investigates whether this pattern is consistent with the historical evolution of natural disaster risk, using average multiple figures over the period 1997–2017. Assessing the accuracy of cat bond pricing is important, since about 50% of outstanding risk capital in the cat bonds market is currently exposed to Atlantic hurricanes -a risk that global warming, among other disruptions, is found to enhance- and pension and mutual funds in European and other OECD countries currently own about 30% of the market. In this respect, while our findings suggest that falling multiples are primarily related to the Fed's expansionary monetary stance and to portfolio shift effects, we do also find evidence of significant undervaluation of global warming risk in the cat bonds market. This finding, also in light of the unfailing appetite of institutional investors for such securities, casts doubts over the sanity of the market and over cat bonds as suitable investment products for risk averse investors. Sounder investment opportunities might be found in the green bonds market, which allows for the funding of immediate investment in climate change mitigation too.

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  • Morana, Claudio & Sbrana, Giacomo, 2019. "Climate change implications for the catastrophe bonds market: An empirical analysis," Economic Modelling, Elsevier, vol. 81(C), pages 274-294.
  • Handle: RePEc:eee:ecmode:v:81:y:2019:i:c:p:274-294
    DOI: 10.1016/j.econmod.2019.04.020
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    Cited by:

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    2. Andrew B. Martinez, 2020. "Forecast Accuracy Matters for Hurricane Damage," Econometrics, MDPI, vol. 8(2), pages 1-24, May.
    3. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    4. Baiardi, Donatella & Morana, Claudio, 2021. "Climate change awareness: Empirical evidence for the European Union," Energy Economics, Elsevier, vol. 96(C).
    5. Neil R. Ericsson & Mohammed H. I. Dore & Hassan Butt, 2022. "Detecting and Quantifying Structural Breaks in Climate," Econometrics, MDPI, vol. 10(4), pages 1-27, November.
    6. Reimund Schwarze & Oleksandr Sushchenko, 2022. "Climate Insurance for Agriculture in Europe: On the Merits of Smart Contracts and Distributed Ledger Technologies," JRFM, MDPI, vol. 15(5), pages 1-16, May.
    7. Stefano Battiston & Petr Jakubik & Irene Monasterolo & Keywan Riahi & Bas van Ruijven, 2019. "Climate Risk Assessment of the Sovereign Bond Portfolio of European Insurers," EIOPA Financial Stability Report - Thematic Articles 15, EIOPA, Risks and Financial Stability Department.
    8. Kyungsik Nam, 2021. "Nonlinear Cointegrating Regression of the Earth’s Surface Mean Temperature Anomalies on Total Radiative Forcing," Econometrics, MDPI, vol. 9(1), pages 1-25, February.
    9. Fernanda Valente & Márcio Laurini, 2020. "Tornado Occurrences in the United States: A Spatio-Temporal Point Process Approach," Econometrics, MDPI, vol. 8(2), pages 1-26, June.
    10. Braga, Joao Paulo & Semmler, Willi & Grass, Dieter, 2021. "De-risking of green investments through a green bond market – Empirics and a dynamic model," Journal of Economic Dynamics and Control, Elsevier, vol. 131(C).
    11. Karl Demers-Bélanger & Van Son Lai, 2019. "Diversification Benefits of Cat Bonds: An In-Depth Examination," Working Papers 2019-008, Department of Research, Ipag Business School.
    12. Curcio, Domenico & Gianfrancesco, Igor & Vioto, Davide, 2023. "Climate change and financial systemic risk: Evidence from US banks and insurers," Journal of Financial Stability, Elsevier, vol. 66(C).
    13. Xiaodong Zhu & Zijing Jin & Shunsuke Managi & XiRong Xun, 2021. "How meteorological disasters affect the labor market? The moderating effect of government emergency response policy," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2625-2640, July.
    14. Manveer Kaur Mangat & Erhard Reschenhofer, 2020. "Frequency-Domain Evidence for Climate Change," Econometrics, MDPI, vol. 8(3), pages 1-15, July.
    15. Irene Monasterolo, 2020. "Embedding Finance in the Macroeconomics of Climate Change: Research Challenges and Opportunities Ahead," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 21(04), pages 25-32, November.

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    More about this item

    Keywords

    Catastrophe (cat) bonds and insurance-linked securities (ILS); Multiples; Global warming; Climate change; El Niño Southern Oscillation; Atlantic hurricanes; Semiparametric dynamic conditional correlation model;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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