IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/79441.html
   My bibliography  Save this paper

Determinants of profitability of takaful operators: new evidence from Malaysia based on dynamic GMM approach

Author

Listed:
  • Hodori, Arif
  • Masih, Mansur

Abstract

Takaful or Islamic Insurance is a branch of Islamic Finance that is frequently overlooked, with a very few empirical studies done in the field. In Malaysia, Takaful’s asset base had grown from just RM$1.4 million in 1986 to RM$23 billion in 2014. Despite this significant growth, there has been very few empirical studies done in the field, especially on the determinants of Takaful operators’ profitability. Motivated by this, this paper aims to investigate the determinants of profitability of Takaful operators by using the dynamic GMM estimator. This study finds that Takaful operators’ size and age are significant determinants of its profitability. However, there are various limitations and challenges that this paper faced, especially on data availability which forced us to resort to manually extracting the data from the financial statements of the companies from their websites at a heavy cost of time and effort. This indicates the attention, work and effort that researchers in the field of Islamic Finance should give to this relatively unexplored field as deeper understanding of this field is crucial for supporting its growth and innovation.

Suggested Citation

  • Hodori, Arif & Masih, Mansur, 2017. "Determinants of profitability of takaful operators: new evidence from Malaysia based on dynamic GMM approach," MPRA Paper 79441, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79441
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/79441/1/MPRA_paper_79441.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. J. Cummins & Hongmin Zi, 1998. "Comparison of Frontier Efficiency Methods: An Application to the U.S. Life Insurance Industry," Journal of Productivity Analysis, Springer, vol. 10(2), pages 131-152, October.
    2. Michael Luhnen, 2009. "Determinants of Efficiency and Productivity in German Property-Liability Insurance: Evidence for 1995–2006," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 483-505, July.
    3. Marcelo Soto, 2009. "System GMM Estimation With A Small Sample," UFAE and IAE Working Papers 780.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Cummins, J. David & Rubio-Misas, Maria, 2006. "Deregulation, Consolidation, and Efficiency: Evidence from the Spanish Insurance Industry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 323-355, March.
    6. Andrew M. Yuengert, 1993. "The measurement of efficiency in life insurance estimates of a mixed normal-gamma error model," Research Paper 9308, Federal Reserve Bank of New York.
    7. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    8. Christian Biener & Martin Eling, 2011. "The Performance of Microinsurance Programs: A Data Envelopment Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 78(1), pages 83-115, March.
    9. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    10. Epermanis, Karen & Harrington, Scott E., 2006. "Market Discipline in Property/Casualty Insurance: Evidence from Premium Growth Surrounding Changes in Financial Strength Ratings," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(6), pages 1515-1544, September.
    11. Yuengert, Andrew M., 1993. "The measurement of efficiency in life insurance: Estimates of a mixed normal-gamma error model," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 483-496, April.
    12. Fenn, Paul & Vencappa, Dev & Diacon, Stephen & Klumpes, Paul & O'Brien, Chris, 2008. "Market structure and the efficiency of European insurance companies: A stochastic frontier analysis," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 86-100, January.
    13. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    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. Biener, Christian & Eling, Martin & Wirfs, Jan Hendrik, 2016. "The determinants of efficiency and productivity in the Swiss insurance industry," European Journal of Operational Research, Elsevier, vol. 248(2), pages 703-714.
    2. Biener, Christian & Eling, Martin, 2012. "Organization and efficiency in the international insurance industry: A cross-frontier analysis," European Journal of Operational Research, Elsevier, vol. 221(2), pages 454-468.
    3. Dimitrios G. Giantsios & Athanasios G. Noulas, 2020. "Cost Efficiency and Convergence in the European Nonlife Insurance Industry," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-6.
    4. Basri Savitha & Subrato Banerjee & Ankitha Shetty, 2019. "Product diversification versus technical efficiency of conglomerate life microinsurance companies: evidence from India," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(3), pages 527-547, July.
    5. Adnan Kasman & Evrim Turgutlu, 2011. "Performance of European insurance firms in the single insurance market," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 363-378.
    6. Cecilia Dassatti & Rodrigo Lluberas, 2020. "The costs of annuitising: are retirees fairly charged?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(3), pages 535-557, July.
    7. Leverty, J. Tyler & Grace, Martin F., 2010. "The robustness of output measures in property-liability insurance efficiency studies," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1510-1524, July.
    8. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    9. Chrysovalantis Gaganis & Iftekhar Hasan & Fotios Pasiouras, 2013. "Efficiency and stock returns: evidence from the insurance industry," Journal of Productivity Analysis, Springer, vol. 40(3), pages 429-442, December.
    10. Trigo Gamarra, Lucinda, 2007. "Single- versus multi-channel distribution strategies in the German life insurance market: A cost and profit efficiency analysis," Thuenen-Series of Applied Economic Theory 81, University of Rostock, Institute of Economics.
    11. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    12. Jaap Bikker & Adelina Popescu, 2014. "Efficiency and competition in the Dutch non-life insurance industry: Effects of the 2006 health care reform," Working Papers 14-12, Utrecht School of Economics.
    13. Eling, Martin & Jia, Ruo & Schaper, Philipp, 2017. "Get the Balance Right: A Simultaneous Equation Model to Analyze Growth, Profitability, and Safety," Working Papers on Finance 1716, University of St. Gallen, School of Finance.
    14. Schaper, Philipp, 2017. "Under pressure: how the business environment affects productivity and efficiency of European life insurance companiesAuthor-Name: Eling, Martin," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1082-1094.
    15. Ali Shaddady, 2022. "Business environment, political risk, governance, Shariah compliance and efficiency in insurance companies in the MENA region," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(4), pages 861-904, October.
    16. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    17. Cecilia Dassatti & Rodrigo Lluberas, 2016. "The costs of annuitizing," Documentos de trabajo 2016004, Banco Central del Uruguay.
    18. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    19. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    20. Rajesh Sharma, 2018. "Health and economic growth: Evidence from dynamic panel data of 143 years," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-20, October.

    More about this item

    Keywords

    Islamic insurance; profitability; Malaysia; dynamic GMM;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:79441. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.