IDEAS home Printed from https://ideas.repec.org/a/sav/journl/v71y2023i1p65-86.html
   My bibliography  Save this article

Financial Stability of the Czech Insurance Companies

Author

Listed:
  • Lenka PÅ™eÄ ková

    (Silesian University in Opava, School of Business Administration in Karviná, Department of Finance and Accounting)

  • Iveta PaleÄ ková

    (Silesian University in Opava, School of Business Administration in Karviná, Department of Finance and Accounting)

Abstract

Financial stability has become an important topic, especially in recent years. However, there is no consistent approach for measuring the financial stability of insurance companies. The aim of this paper is to construct the summarized financial stability index for the insurance companies and applied this index on the Czech insurance companies. We construct and applied the financial stability index separately for insurance companies that predominantly provide life insurance and non-life insurance. The financial stability index focuses on five areas. The results show that insurance companies specialised in a particular non-life insurance product are more financially stable. The research suggests that the evolution of insurance companies has been influenced by organisational changes and economic changes. During the period 2004 – 2019, the examined insurance companies did not show any problems in terms of financial stability.

Suggested Citation

  • Lenka PÅ™eÄ ková & Iveta PaleÄ ková, 2023. "Financial Stability of the Czech Insurance Companies," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 71(1), pages 65-86, January.
    • Handle: RePEc:sav:journl:v:71:y:2023:i:1:p:65-86
    as

    Download full text from publisher

    File URL: https://www.sav.sk/journals/uploads/0321112301%2023%20Preckova-Paleckova+%20SR.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Van Gestel, Tony & Martens, David & Baesens, Bart & Feremans, Daniel & Huysmans, Johan & Vanthienen, Jan, 2007. "Forecasting and analyzing insurance companies' ratings," International Journal of Forecasting, Elsevier, vol. 23(3), pages 513-529.
    2. Terence M. Yhip & Bijan M. D. Alagheband, 2020. "Statistical Methods of Predicting Country Debt Crisis," Springer Books, in: The Practice of Lending, chapter 9, pages 383-418, Springer.
    3. Unido, 2020. "World Statistics on Mining and Utilities 2020," Books, Edward Elgar Publishing, number 20171.
    4. Michal Dvorak & Marcela Gronychova & Vaclav Hausenblas & Zlatuse Komarkova, 2016. "Could the Czech Insurance Sector Be a Source of Systemic Risk?," Occasional Publications - Chapters in Edited Volumes, in: CNB Financial Stability Report 2015/2016, chapter 0, pages 116-126, Czech National Bank.
    5. W. Jean Kwon & Leigh Wolfrom, 2016. "Analytical tools for the insurance market and macro-prudential surveillance," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2016(1), pages 1-47.
    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. Patrycja Klusak & Matthew Agarwala & Matt Burke & Moritz Kraemer & Kamiar Mohaddes, 2023. "Rising Temperatures, Falling Ratings: The Effect of Climate Change on Sovereign Creditworthiness," Management Science, INFORMS, vol. 69(12), pages 7468-7491, December.
    2. I. Albarrán & P. Alonso-González & J. M. Marin, 2017. "Some criticism to a general model in Solvency II: an explanation from a clustering point of view," Empirical Economics, Springer, vol. 52(4), pages 1289-1308, June.
    3. Loterman, Gert & Brown, Iain & Martens, David & Mues, Christophe & Baesens, Bart, 2012. "Benchmarking regression algorithms for loss given default modeling," International Journal of Forecasting, Elsevier, vol. 28(1), pages 161-170.
    4. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    5. Vo, Duc Hong & Vo, Anh The & Ho, Chi Minh & Nguyen, Ha Minh, 2020. "The role of renewable energy, alternative and nuclear energy in mitigating carbon emissions in the CPTPP countries," Renewable Energy, Elsevier, vol. 161(C), pages 278-292.
    6. Ogawa, Keishi & Garrod, Guy & Yagi, Hironori, 2023. "Sustainability strategies and stakeholder management for upland farming," Land Use Policy, Elsevier, vol. 131(C).
    7. Liu, Congzheng & Letchford, Adam N. & Svetunkov, Ivan, 2022. "Newsvendor problems: An integrated method for estimation and optimisation," European Journal of Operational Research, Elsevier, vol. 300(2), pages 590-601.
    8. Albarrán Lozano, Irene & Marín Díazaraque, Juan Miguel & Alonso, Pablo J., 2011. "Why using a general model in Solvency II is not a good idea : an explanation from a Bayesian point of view," DES - Working Papers. Statistics and Econometrics. WS ws113729, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Roger Fouquet & Ralph Hippe, 2022. "Twin Transitions of Decarbonisation and Digitalisation: A Historical Perspective on Energy and Information in European Economies," Working Papers 08-22, Association Française de Cliométrie (AFC).
    10. Mizen, Paul & Tsoukas, Serafeim, 2012. "Forecasting US bond default ratings allowing for previous and initial state dependence in an ordered probit model," International Journal of Forecasting, Elsevier, vol. 28(1), pages 273-287.
    11. Rodney P. Jones, 2021. "Were the hospital bed reductions proposed by English Clinical Commissioning Groups (CCGs) in the sustainability and transformation plans (STPs) achievable? Insights from a new model to compare interna," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(2), pages 459-481, March.
    12. TOBBACK, Ellen & MARTENS, David & VAN GESTEL, Tony & BAESENS, Bart, 2012. "Forecasting loss given default models: Impact of account characteristics and the macroeconomic state," Working Papers 2012019, University of Antwerp, Faculty of Business and Economics.
    13. Sun, Chuanwang & Khan, Anwar & Liu, Yongzhe & Lei, Ni, 2022. "An analysis of the impact of fiscal and monetary policy fluctuations on the disaggregated level renewable energy generation in the G7 countries," Renewable Energy, Elsevier, vol. 189(C), pages 1154-1165.
    14. Adamczyk, Paulina & Woźniak, Wojciech, 2021. "Prewencja zachowań samobójczych jako zadanie polityki zdrowia publicznego. Doświadczenia Finlandii, inspiracja dla Polski?," Studia z Polityki Publicznej / Public Policy Studies, Warsaw School of Economics, vol. 8(4), pages 1-24, December.
    15. Martin-Barragan, Belen & Lillo, Rosa & Romo, Juan, 2014. "Interpretable support vector machines for functional data," European Journal of Operational Research, Elsevier, vol. 232(1), pages 146-155.
    16. Carrizosa, Emilio & Martín-Barragán, Belén & Morales, Dolores Romero, 2011. "Detecting relevant variables and interactions in supervised classification," European Journal of Operational Research, Elsevier, vol. 213(1), pages 260-269, August.
    17. Apergis, Nicholas & Poufinas, Thomas, 2020. "The role of insurance growth in economic growth: Fresh evidence from a panel of OECD countries," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    18. G Castermans & D Martens & T Van Gestel & B Hamers & B Baesens, 2010. "An overview and framework for PD backtesting and benchmarking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 359-373, March.
    19. e Silva, Danilo P. & Félix Salles, José L. & Fardin, Jussara F. & Rocha Pereira, Maxsuel M., 2020. "Management of an island and grid-connected microgrid using hybrid economic model predictive control with weather data," Applied Energy, Elsevier, vol. 278(C).
    20. Kirkøen, Benedicte & Engell, Thomas & Follestad, Ingvild B. & Holen, Solveig & Hagen, Kristine Amlund, 2021. "Early academic struggles among children with home-based support from child welfare services," Children and Youth Services Review, Elsevier, vol. 131(C).

    More about this item

    Keywords

    financial stability of insurance company; non-life insurance; life insurance; summary index; market share;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:sav:journl:v:71:y:2023:i:1:p:65-86. 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: Peter Renac (email available below). General contact details of provider: https://edirc.repec.org/data/eusavsk.html .

    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.