IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v91y2024ics0038012123003038.html
   My bibliography  Save this article

Natural disasters, stock price volatility in the property-liability insurance market and sustainability: An unexplored link

Author

Listed:
  • Montero, José-María
  • Naimy, Viviane
  • Farraj, Nermeen Abi
  • El Khoury, Rim

Abstract

The close interrelationship between sustainability and natural disasters is both bidirectional and complex, holding paramount significance within the realm of the economics of natural disasters. The ravaging effects of natural disasters extend beyond the directly affected regions, influencing sustainability and impeding recovery efforts. The aftermaths are felt across economic sectors, making it imperative to examine the financial implications, particularly for the insurance sector, a pivotal player in disaster recovery. Despite the critical role of insurance (especially property coverage), the financial repercussions for insurance companies have not received sufficient attention in the literature. Notably, there are no studies on the evolution of their stock prices, especially their volatility, in the short and medium term. Therefore, this article respond to the call made by Eckhardt et al. [60] for studies that examine the consequences of natural disasters beyond the short term, and use econometric techniques to measure them. Moreover, it focuses on a type of consequence that remains largely unexplored in the literature: the volatility of property and liability (P&L) insurers, which is closely related to sustainability. Employing a multi-event framework, we estimate the GARCH-type model that best captures the volatility behavior of P&L insurance companies in the United States over the past decade, as well as the impact of natural disasters on that volatility, in both the short and the medium term, thus going beyond the immediate effects examined in most related studies. The conclusions are of major interest to policymakers and P&L insurers, providing the former with a series of instruments to control the volatility of the returns of P&L insurers, and stock markets over different timeframes, and providing the latter with the tools needed to better manage the volatility of their stock prices and their value-at-risk.

Suggested Citation

  • Montero, José-María & Naimy, Viviane & Farraj, Nermeen Abi & El Khoury, Rim, 2024. "Natural disasters, stock price volatility in the property-liability insurance market and sustainability: An unexplored link," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
  • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123003038
    DOI: 10.1016/j.seps.2023.101791
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012123003038
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.seps.2023.101791?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hood, Matthew & Kamesaka, Akiko & Nofsinger, John & Tamura, Teruyuki, 2013. "Investor response to a natural disaster: Evidence from Japan's 2011 earthquake," Pacific-Basin Finance Journal, Elsevier, vol. 25(C), pages 240-252.
    2. Yamori, Nobuyoshi & Kobayashi, Takeshi, 2002. "Do Japanese Insurers Benefit from A Catastrophic Event?: Market Reactions to the 1995 Hanshin-Awaji Earthquake," Journal of the Japanese and International Economies, Elsevier, vol. 16(1), pages 92-108, March.
    3. Georges Dionne & Denise Desjardins, 2022. "A re‐examination of the US insurance market's capacity to pay catastrophe losses," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 25(4), pages 515-549, December.
    4. Bourdeau-Brien, Michael & Kryzanowski, Lawrence, 2017. "The impact of natural disasters on the stock returns and volatilities of local firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 259-270.
    5. Bialkowski, Jedrzej & Gottschalk, Katrin & Wisniewski, Tomasz Piotr, 2008. "Stock market volatility around national elections," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1941-1953, September.
    6. François-Éric Racicot & Raymond Théoret & Alain Coën, 2008. "Forecasting Irregularly Spaced UHF Financial Data: Realized Volatility vs UHF-GARCH Models," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 112-124, February.
    7. Sakariyahu, Rilwan & Lawal, Rodiat & Oyekola, Olayinka & Dosumu, Oluwatoyin Esther & Adigun, Rasheed, 2023. "Natural disasters, investor sentiments and stock market reactions: Evidence from Turkey–Syria earthquakes," Economics Letters, Elsevier, vol. 228(C).
    8. Thomas Aiuppa & Robert J. Carney & Thomas M. Krueger, 1993. "An Examination of Insurance Stock Prices Following the 1989 Loma Prieta Earthquake," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 16(1), pages 1-15.
    9. Bjoern Hagendorff & Jens Hagendorff & Kevin Keasey, 2015. "The Impact of Mega‐Catastrophes on Insurers: An Exposure‐Based Analysis of the U.S. Homeowners’ Insurance Market," Risk Analysis, John Wiley & Sons, vol. 35(1), pages 157-173, January.
    10. Benali, Nadia & Feki, Rochdi, 2017. "The impact of natural disasters on insurers’ profitability: Evidence from Property/Casualty Insurance company in United States," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1394-1400.
    11. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    12. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    13. Hallegatte, Stephane & Przyluski, Valentin, 2010. "The economics of natural disasters : concepts and methods," Policy Research Working Paper Series 5507, The World Bank.
    14. Merton, Robert C., 1980. "On estimating the expected return on the market : An exploratory investigation," Journal of Financial Economics, Elsevier, vol. 8(4), pages 323-361, December.
    15. Andrew C. Worthington, 2008. "The impact of natural events and disasters on the Australian stock market: a GARCH-M analysis of storms, floods, cyclones, earthquakes and bushfires," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 10(1), pages 1-10.
    16. Vikrant Panwar & Subir Sen, 2019. "Economic Impact of Natural Disasters: An Empirical Re-examination," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 13(1), pages 109-139, February.
    17. Rui Zhang & Yunzhi Zhang & Zhe Dai, 2022. "Impact of Natural Disasters on Mental Health: A Cross-Sectional Study Based on the 2014 China Family Panel Survey," IJERPH, MDPI, vol. 19(5), pages 1-17, February.
    18. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    19. Noy, Ilan & duPont IV, William, 2016. "The long-term consequences of natural disasters — A summary of the literature," Working Paper Series 4981, Victoria University of Wellington, School of Economics and Finance.
    20. Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
    21. Atsushi Takao & Takuya Yoshizawa & Shuofen Hsu & Takashi Yamasaki, 2013. "The Effect of the Great East Japan Earthquake on the Stock Prices of Non-life Insurance Companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 38(3), pages 449-468, July.
    22. Andrew Worthington & Abbas Valadkhani, 2004. "Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis," Applied Economics, Taylor & Francis Journals, vol. 36(19), pages 2177-2186.
    23. Marta Oliveira & Cristina Delerue-Matos & Maria Carmo Pereira & Simone Morais, 2020. "Environmental Particulate Matter Levels during 2017 Large Forest Fires and Megafires in the Center Region of Portugal: A Public Health Concern?," IJERPH, MDPI, vol. 17(3), pages 1-20, February.
    24. Frederick Schuh & Tanja Jaeckle, 2023. "Impact of hurricanes on US insurance stocks," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 26(1), pages 5-34, March.
    25. Castells-Quintana, David & Lopez-Uribe, Maria del Pilar & McDermott, Thomas K.J., 2022. "Population displacement and urban conflict: Global evidence from more than 3300 flood events," Journal of Development Economics, Elsevier, vol. 158(C).
    26. Noy, Ilan & duPont IV, William, 2016. "The long-term consequences of natural disasters — A summary of the literature," Working Paper Series 19397, Victoria University of Wellington, School of Economics and Finance.
    27. Baryshnikova, Nadezhda V. & Pham, Ngoc T.A., 2019. "Natural disasters and mental health: A quantile approach," Economics Letters, Elsevier, vol. 180(C), pages 62-66.
    28. Rui Zhang & Yunzhi Zhang & Zhe Dai, 2022. "Impact of Natural Disasters on Mental Health: A Cross-Sectional Study Based on the 2014 China Family Panel Survey," Post-Print hal-03858177, HAL.
    29. Christian Thomann, 2013. "The Impact of Catastrophes on Insurer Stock Volatility," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(1), pages 65-94, March.
    30. Lamb, Reinhold P, 1998. "An Examination of Market Efficiency around Hurricanes," The Financial Review, Eastern Finance Association, vol. 33(1), pages 163-172, February.
    31. Becker, Sascha O. & Ferrara, Andreas, 2019. "Consequences of forced migration: A survey of recent findings," Labour Economics, Elsevier, vol. 59(C), pages 1-16.
    32. Viviane Naimy & Omar Haddad & Gema Fernández-Avilés & Rim El Khoury, 2021. "The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies," PLOS ONE, Public Library of Science, vol. 16(1), pages 1-17, January.
    33. Peter Reinhard Hansen & Asger Lunde, 2005. "A Realized Variance for the Whole Day Based on Intermittent High-Frequency Data," Journal of Financial Econometrics, Oxford University Press, vol. 3(4), pages 525-554.
    34. Lin Wang & Ali M Kutan, 2013. "The Impact of Natural Disasters on Stock Markets: Evidence from Japan and the US," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 55(4), pages 672-686, December.
    35. Muhammad Abdullah Khalid & Yousaf Ali, 2020. "Economic impact assessment of natural disaster with multi-criteria decision making for interdependent infrastructures," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(8), pages 7287-7311, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valizadeh, Pourya & Karali, Berna & Ferreira, Susana, 2017. "Ripple effects of the 2011 Japan earthquake on international stock markets," Research in International Business and Finance, Elsevier, vol. 41(C), pages 556-576.
    2. Bourdeau-Brien, Michael & Kryzanowski, Lawrence, 2017. "The impact of natural disasters on the stock returns and volatilities of local firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 259-270.
    3. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    4. Robert Ślepaczuk & Grzegorz Zakrzewski, 2009. "High-Frequency and Model-Free Volatility Estimators," Working Papers 2009-13, Faculty of Economic Sciences, University of Warsaw.
    5. Daniel Castillo & Joseph Falzon, 2018. "An Analysis of the Impact of WannaCry Cyberattack on Cybersecurity Stock Returns," Review of Economics & Finance, Better Advances Press, Canada, vol. 13, pages 93-100, August.
    6. E. Ramos-P'erez & P. J. Alonso-Gonz'alez & J. J. N'u~nez-Vel'azquez, 2020. "Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network," Papers 2006.16383, arXiv.org, revised Aug 2020.
    7. CARPANTIER, Jean - François, 2010. "Commodities inventory effect," LIDAM Discussion Papers CORE 2010040, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Gonzalo Cortazar & Alejandro Bernales & Diether Beuermann, 2005. "Methodology and Implementation of Value-at-Risk Measures in Emerging Fixed-Income Markets with Infrequent Trading," Finance 0512030, University Library of Munich, Germany.
    9. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    10. Wu, Qi & Yan, Xing, 2019. "Capturing deep tail risk via sequential learning of quantile dynamics," Journal of Economic Dynamics and Control, Elsevier, vol. 109(C).
    11. Deniz Erdemlioglu & Sébastien Laurent & Christopher J. Neely, 2013. "Econometric modeling of exchange rate volatility and jumps," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 16, pages 373-427, Edward Elgar Publishing.
    12. Asuka Takeuchi-Nogimori, 2012. "An Empirical Analysis of the Nikkei 225 Put Options Using Realized GARCH Models," Global COE Hi-Stat Discussion Paper Series gd12-241, Institute of Economic Research, Hitotsubashi University.
    13. Xin Chen & Zhangming Shan & Decai Tang & Biao Zhou & Valentina Boamah, 2023. "Interest rate risk of Chinese commercial banks based on the GARCH-EVT model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.
    14. Christoffersen, Peter & Feunou, Bruno & Jacobs, Kris & Meddahi, Nour, 2014. "The Economic Value of Realized Volatility: Using High-Frequency Returns for Option Valuation," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 663-697, June.
    15. Laura Garcia‐Jorcano & Alfonso Novales, 2021. "Volatility specifications versus probability distributions in VaR forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
    16. Stavroyiannis, S. & Makris, I. & Nikolaidis, V. & Zarangas, L., 2012. "Econometric modeling and value-at-risk using the Pearson type-IV distribution," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 10-17.
    17. Takuo Higashide & Katsuyuki Tanaka & Takuji Kinkyo & Shigeyuki Hamori, 2021. "New Dataset for Forecasting Realized Volatility: Is the Tokyo Stock Exchange Co-Location Dataset Helpful for Expansion of the Heterogeneous Autoregressive Model in the Japanese Stock Market?," JRFM, MDPI, vol. 14(5), pages 1-18, May.
    18. Peterburgsky, Stanley, 2021. "Aggregate volatility risk: International evidence," Global Finance Journal, Elsevier, vol. 47(C).
    19. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    20. Antonis Demos, 2002. "Moments and dynamic structure of a time-varying parameter stochastic volatility in mean model," Econometrics Journal, Royal Economic Society, vol. 5(2), pages 345-357, June.

    More about this item

    Keywords

    Natural disasters; Sustainability; Catastrophe modeling; Property-liability insurance companies; GARCH models; Value-at-Risk; Risk management; Disaster recovery plans;
    All these keywords.

    JEL classification:

    • 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
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123003038. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.