IDEAS home Printed from https://ideas.repec.org/a/mnb/finrev/v21y2022i3p44-72.html
   My bibliography  Save this article

Effect of the Yield Level, the Inflation Environment and the Pandemic on the Lapse Rates of Life Insurances

Author

Listed:
  • Laszlo Szepesvary

    (Magyar Posta Eletbiztosito Zrt)

Abstract

This study examines the lapse rates of certain life insurances in relation to various economic and non-economic events, analysing empirical insurance data, in search of answers to the questions of what impact the changed yield and inflation environments and lockdowns due to Covid-19 had on the cancellation of contracts, and how sensitive policyholders are to changes in yields in the case of certain investment-type insurances. In addition to the conclusions drawn on the basis of time series data, further statistical analyses (such as Granger causality testing, contract classification with k-means clustering) contribute to a more complete picture. The effect of certain changes in the interest rate level on lapses can be detected in the case of the single premium investment-type insurance under review (especially for the higher premium classes). No similar behaviour is typical of the current premium insurances under review, and so far it has also not been possible to detect any significant relationship with lapses in connection with inflation or the lockdowns due to Covid-19.

Suggested Citation

  • Laszlo Szepesvary, 2022. "Effect of the Yield Level, the Inflation Environment and the Pandemic on the Lapse Rates of Life Insurances," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 21(3), pages 44-72.
  • Handle: RePEc:mnb:finrev:v:21:y:2022:i:3:p:44-72
    as

    Download full text from publisher

    File URL: https://en-hitelintezetiszemle.mnb.hu/letoltes/fer-21-3-st2-szepesvary.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. István Ábel & Máté Lóga & Gyula Nagy & Árpád Vadkerti, 2019. "Lifting the Veil on Interest," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 18(3), pages 29-51.
    2. Andras Balogh, 2021. "What Causes Inflation? - The Relationship between Central Bank Policies and Inflation," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 20(4), pages 144-156..
    3. Changki Kim, 2005. "Modeling Surrender and Lapse Rates With Economic Variables," North American Actuarial Journal, Taylor & Francis Journals, vol. 9(4), pages 56-70.
    4. David T. Russell & Stephen G. Fier & James M. Carson & Randy E. Dumm, 2013. "An Empirical Analysis of Life Insurance Policy Surrender Activity," Journal of Insurance Issues, Western Risk and Insurance Association, vol. 36(1), pages 35-57.
    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. Gemmo, Irina & Götz, Martin, 2016. "Life insurance and demographic change: An empirical analysis of surrender decisions based on panel data," ICIR Working Paper Series 24/16, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    2. Berdin, Elia & Gründl, Helmut & Kubitza, Christian, 2017. "Rising interest rates, lapse risk, and the stability of life insurers," ICIR Working Paper Series 29/17, Goethe University Frankfurt, International Center for Insurance Regulation (ICIR).
    3. Cassandra R. Cole & Stephen G. Fier, 2021. "An examination of life insurance policy surrender and loan activity," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 483-516, June.
    4. Christian Knoller & Gunther Kraut & Pascal Schoenmaekers, 2016. "On the Propensity to Surrender a Variable Annuity Contract: An Empirical Analysis of Dynamic Policyholder Behavior," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 979-1006, December.
    5. Srbinoski Bojan & Strozzi Fernanda & Poposki Klime & Born Patricia H., 2020. "Trends in Life Insurance Demand and Lapse Literature," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(2), pages 1-46, July.
    6. Lu Yu & Jiang Cheng & Tzuting Lin, 2019. "Life insurance lapse behaviour: evidence from China," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(4), pages 653-678, October.
    7. Gemmo, Irina & Götz, Martin, 2016. "Life insurance and demographic change: An empirical analysis of surrender decisions based on panel data," SAFE Working Paper Series 240, Leibniz Institute for Financial Research SAFE.
    8. Mathias Valla & Xavier Milhaud & Anani Ayodélé Olympio, 2023. "Including individual Customer Lifetime Value and competing risks in tree-based lapse management strategies," Post-Print hal-03903047, HAL.
    9. Mathias Valla & Xavier Milhaud & Anani Ayodélé Olympio, 2023. "Including individual Customer Lifetime Value and competing risks in tree-based lapse management strategy," Working Papers hal-03903047, HAL.
    10. Olivier de Bandt & George Overton, 2022. "Why do insurers fail? A comparison of life and nonlife insurance companies from an international database," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(4), pages 871-905, December.
    11. Xavier Milhaud & Christophe Dutang, 2018. "Lapse tables for lapse risk management in insurance: a competing risk approach," Post-Print hal-01727669, HAL.
    12. Barsotti, Flavia & Milhaud, Xavier & Salhi, Yahia, 2016. "Lapse risk in life insurance: Correlation and contagion effects among policyholders’ behaviors," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 317-331.
    13. J. François Outreville, 2013. "The Relationship Between Insurance and Economic Development: 85 Empirical Papers for a Review of the Literature," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 16(1), pages 71-122, March.
    14. Katja Hanewald & Thomas Post & Helmut Gründl, 2011. "Stochastic Mortality, Macroeconomic Risks and Life Insurer Solvency," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 36(3), pages 458-475, July.
    15. Martin Eling & Dieter Kiesenbauer, 2012. "Does Surplus Participation Reflect Market Discipline? An Analysis of the German Life Insurance Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(3), pages 159-185, December.
    16. Le Courtois Olivier & Shen Li & Majri Mohamed, 2021. "Utility-Consistent Valuation Schemes for the Own Risk and Solvency Assessment of Life Insurance Companies," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 15(1), pages 1-33, January.
    17. Kung, Ko-Lun & Hsieh, Ming-Hua & Peng, Jin-Lung & Tsai, Chenghsien Jason & Wang, Jennifer L., 2021. "Explaining the risk premiums of life settlements," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    18. George Overton & Olivier de Bandt, 2020. "Why do insurers fail? A comparison of life and non-life insolvencies using a new international database," Working Papers hal-04159696, HAL.
    19. Yilmaz Yildiz & Mehmet Baha Karan & Seyma Bayrak Salantur, 2017. "An Investigation on Early Voluntary Withdrawals from Individual Retirement Accounts: An Empirical Study on an Emerging Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(4), pages 732-756, October.
    20. Vidyavathi Kayarthakdka & Birau Ramona & Savita Sachin Rai & Rajeshwari Puttanna & Ninulescu Petre Valeriu, 2023. "Influence Of Demographic And Household Factors On Surrender Of Life Insurance Policies In India," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 31-32, October.

    More about this item

    Keywords

    life insurance; lapse rate; yield environment; inflation; Covid-19; time series analysis;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • 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
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

    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:mnb:finrev:v:21:y:2022:i:3:p:44-72. 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: Morvay Endre (email available below). General contact details of provider: https://edirc.repec.org/data/mnbgvhu.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.