IDEAS home Printed from https://ideas.repec.org/a/imx/journl/v18y2023i2p7.html

Prima para la cobertura por exceso de contagios de COVID-19

Author

Listed:
  • Guillermo Sierra Juárez

    (Universidad de Guadalajara, México)

Abstract

Con la aparición del COVID-19 muchos de los sectores de la economía resultaron afectados negativamente, particularmente el de seguros. Con el apoyo de los gobiernos o de las reaseguradoras mediante el pago de una prima las compañías aseguradoras podrían recibir un recurso contingente ante el exceso de contagios provocados por la pandemia. El presente trabajo calcula la prima para cubrir el exceso de población afectada con un modelo de opciones financieras con un proceso de difusión sin y con saltos de Poisson y el modelo epidemiológico Susceptibles-Infectados-Recuperados (SIR), esta propuesta no cuenta con muchos precedentes. El sistema obtenido se aproxima con el método de simulación Monte Carlo. Al final se presentan los resultados donde hay diferencias importantes en las primas de las opciones al incluir saltos de Poisson. Por último, dentro de las principales conclusiones se destaca que el valor de la prima depende de la trayectoria de comportamiento de los contagios y del valor de ejercicio del contagio (K ). El trabajo tiene limitaciones al aplicarse a casos muy particulares, pero que podrían extenderse a casos más reales en investigaciones futuras.

Suggested Citation

  • Guillermo Sierra Juárez, 2023. "Prima para la cobertura por exceso de contagios de COVID-19," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 18(2), pages 1-17, Abril - J.
    • Handle: RePEc:imx:journl:v:18:y:2023:i:2:p:7
    as

    Download full text from publisher

    File URL: https://www.remef.org.mx/index.php/remef/article/view/859
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yating Wang & Donghao Zhang & Xiaoquan Wang & Qiuyao Fu, 2020. "How Does COVID-19 Affect China’s Insurance Market?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2350-2362, August.
    2. Yating Wang & Donghao Zhang & Xiaoquan Wang & Qiuyao Fu, 2020. "How Does COVID-19 Affect China’s Insurance Market?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2350-2362, August.
    3. Massimo Arnone & Michele Leonardo Bianchi & Anna Grazia Quaranta & Gian Luca Tassinari, 2021. "Catastrophic risks and the pricing of catastrophe equity put options," Computational Management Science, Springer, vol. 18(2), pages 213-237, June.
    4. Venegas-Martínez, Francisco & Medina-Hurtado, Santiago & Jaramillo, Johana Alexandra & Ramírez-Ateor (ed.), 2008. "Riesgos financieros y económicos," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, Escuela Superior de Economía, Instituto Politécnico Nacional, edition 1, volume 1, number 020, Segundo s.
    5. Pius Babuna & Xiaohua Yang & Amatus Gyilbag & Doris Abra Awudi & David Ngmenbelle & Dehui Bian, 2020. "The Impact of COVID-19 on the Insurance Industry," IJERPH, MDPI, vol. 17(16), pages 1-14, August.
    6. Cummins, J. David & Lalonde, David & Phillips, Richard D., 2004. "The basis risk of catastrophic-loss index securities," Journal of Financial Economics, Elsevier, vol. 71(1), pages 77-111, January.
    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. Wang, Zhixuan & Dong, Yanli & Liu, Ailan, 2022. "How does China's stock market react to supply chain disruptions from COVID-19?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Shabir, Mohsin & Jiang, Ping & Wang, Wenhao & Işık, Özcan, 2023. "COVID-19 pandemic impact on banking sector: A cross-country analysis," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    3. Iyke, Bernard Njindan & Ho, Sin-Yu, 2021. "Exchange rate exposure in the South African stock market before and during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    4. Sui, Bo & Chang, Chun-Ping & Jang, Chyi-Lu & Gong, Qiang, 2021. "Analyzing causality between epidemics and oil prices: Role of the stock market," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 148-158.
    5. Deng, Tianjie & Xu, Tracy & Lee, Young Jin, 2022. "Policy responses to COVID-19 and stock market reactions - An international evidence," Journal of Economics and Business, Elsevier, vol. 119(C).
    6. Pradipta Kumar Sahoo, 2021. "COVID-19 pandemic and cryptocurrency markets: an empirical analysis from a linear and nonlinear causal relationship," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(2), pages 454-468, March.
    7. Trinh, Cong Tam & Chao, Chi-Chur & Ho, Nhut Quang, 2023. "Private health insurance consumption and public health-care provision in OECD countries: Impact of culture, finance, and the pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    8. Narayan, Paresh Kumar, 2021. "COVID-19 research outcomes: An agenda for future research," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 439-445.
    9. Devpura, Neluka & Narayan, Paresh Kumar & Sharma, Susan Sunila, 2021. "Bond return predictability: Evidence from 25 OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    10. Wang, Jiangyuan & Wang, Hua & Wang, Di, 2021. "Equity concentration and investment efficiency of energy companies in China: Evidence based on the shock of deregulation of QFIIs," Energy Economics, Elsevier, vol. 93(C).
    11. Gong, Min & He, Wei & Zhang, Nan, 2021. "Political promotion incentives and local employment," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 492-502.
    12. Iyke, Bernard Njindan & Tran, Vuong Thao & Narayan, Paresh Kumar, 2021. "Can energy security predict energy stock returns?," Energy Economics, Elsevier, vol. 94(C).
    13. Pauline Barrieu & Henri Loubergé, 2009. "Hybrid Cat Bonds," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 547-578, September.
    14. Keisuke Kizaki & Taiga Saito & Akihiko Takahashi, 2022. "A Multi-agent Incomplete Equilibrium Model and Its Applications to Reinsurance Pricing and Life-Cycle Investment," CIRJE F-Series CIRJE-F-1206, CIRJE, Faculty of Economics, University of Tokyo.
    15. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2020. "Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis," IJERPH, MDPI, vol. 17(18), pages 1-35, September.
    16. Kizaki, Keisuke & Saito, Taiga & Takahashi, Akihiko, 2024. "A multi-agent incomplete equilibrium model and its applications to reinsurance pricing and life-cycle investment," Insurance: Mathematics and Economics, Elsevier, vol. 114(C), pages 132-155.
    17. Gibson, Rajna & Habib, Michel A. & Ziegler, Alexandre, 2014. "Reinsurance or securitization: The case of natural catastrophe risk," Journal of Mathematical Economics, Elsevier, vol. 53(C), pages 79-100.
    18. Mark J. Garmaise & Tobias J. Moskowitz, 2009. "Catastrophic Risk and Credit Markets," Journal of Finance, American Finance Association, vol. 64(2), pages 657-707, April.
    19. Thilini Mahanama & Abootaleb Shirvani & Svetlozar Rachev, 2022. "A Natural Disasters Index," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 263-284, April.
    20. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

    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:imx:journl:v:18:y:2023:i:2:p:7. 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: Ricardo Mendoza (email available below). General contact details of provider: https://www.remef.org.mx/index.php/remef/index .

    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.