IDEAS home Printed from https://ideas.repec.org/a/eee/jpolmo/v42y2020i2p419-436.html
   My bibliography  Save this article

Simplex representation of insurance performance analysis

Author

Listed:
  • Bharathkumar, Sai Ranjani
  • Gupta, Santanu

Abstract

The general belief in the insurance industry is that underwriting is a loss-making segment but is essential as it generates cash flow. The underwriting losses are cross-subsidized by investment income resulting in overall profits. In this paper, we investigate if the same is true in the Indian context. For this Simplex representation, (also known as trilinear plot or Saari Triangle) a tool in the field of political science, is adapted. Simplex representation can give an instant understanding of the relative performance of a company in any segment/domain. The study reveals that, contrary to expectation, it is reinsurance that has contributed more to overall aggregate performance as against investment.

Suggested Citation

  • Bharathkumar, Sai Ranjani & Gupta, Santanu, 2020. "Simplex representation of insurance performance analysis," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 419-436.
  • Handle: RePEc:eee:jpolmo:v:42:y:2020:i:2:p:419-436
    DOI: 10.1016/j.jpolmod.2019.06.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0161893819301127
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jpolmod.2019.06.010?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. Soedarmono, Wahyoe & Machrouh, Fouad & Tarazi, Amine, 2011. "Bank market power, economic growth and financial stability: Evidence from Asian banks," Journal of Asian Economics, Elsevier, vol. 22(6), pages 460-470.
    2. Reddy, Kotapati Srinivasa & Nangia, Vinay Kumar & Agrawal, Rajat, 2013. "Indian economic-policy reforms, bank mergers, and lawful proposals: The ex-ante and ex-post ‘lookup’," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 601-622.
    3. Che, Xin & Liebenberg, Andre P., 2017. "Effects of business diversification on asset risk-taking: Evidence from the U.S. property-liability insurance industry," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 122-136.
    4. Benishay, H & Kinney, Wr, 1973. "Discussion Of A Prediction Of Business Failure Using Accounting Data," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 180-187.
    5. Ms. Miranda Xafa, 2007. "Global Imbalances and Financial Stability," IMF Working Papers 2007/111, International Monetary Fund.
    6. Conyon, Martin J & Leech, Dennis, 1994. "Top Pay, Company Performance and Corporate Governance," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 229-247, August.
    7. Santanu Gupta, 2012. "Looking for voting paradoxes in Indian elections," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(3), pages 949-958, April.
    8. Casey, C & Bartczak, N, 1985. "Using Operating Cash Flow Data To Predict Financial Distress - Some Extensions," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 384-401.
    9. Ran Duchin, 2010. "Cash Holdings and Corporate Diversification," Journal of Finance, American Finance Association, vol. 65(3), pages 955-992, June.
    10. Wilcox, Jw, 1973. "Prediction Of Business Failure Using Accounting Data - Comment," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 188-190.
    11. Xafa, Miranda, 2007. "Global imbalances and financial stability," Journal of Policy Modeling, Elsevier, vol. 29(5), pages 783-796.
    12. Joseph Calandro & Scott Lane, 2002. "The Insurance Performance Measure: Bringing Value To The Insurance Industry," Journal of Applied Corporate Finance, Morgan Stanley, vol. 14(4), pages 94-99, January.
    13. Wilcox, Jw, 1973. "Prediction Of Business Failure Using Accounting Data," Journal of Accounting Research, Wiley Blackwell, vol. 11, pages 163-179.
    14. Grigorakis, Nikolaos & Floros, Christos & Tsangari, Haritini & Tsoukatos, Evangelos, 2018. "Macroeconomic and financing determinants of out of pocket payments in health care: Evidence from selected OECD countries," Journal of Policy Modeling, Elsevier, vol. 40(6), pages 1290-1312.
    15. Gentry, Ja & Newbold, P & Whitford, Dt, 1985. "Classifying Bankrupt Firms With Funds Flow Components," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 146-160.
    16. Fields, Joseph A & Klein, Linda S & Myskowski, Edward G, 1998. "Lloyd's Financial Distress and Contagion within the US Property and Liability Insurance Industry," Journal of Risk and Uncertainty, Springer, vol. 16(2), pages 173-185, May-June.
    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. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
    3. McGurr, Paul T. & DeVaney, Sharon A., 1998. "Predicting Business Failure of Retail Firms: An Analysis Using Mixed Industry Models," Journal of Business Research, Elsevier, vol. 43(3), pages 169-176, November.
    4. Ulrich Erlenmaier & Hans Gersbach, 2014. "Default Correlations in the Merton Model," Review of Finance, European Finance Association, vol. 18(5), pages 1775-1809.
    5. David A. Hensher & Stewart Jones & William H. Greene, 2007. "An Error Component Logit Analysis of Corporate Bankruptcy and Insolvency Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 83(260), pages 86-103, March.
    6. Jones, Stewart & Hensher, David A., 2007. "Modelling corporate failure: A multinomial nested logit analysis for unordered outcomes," The British Accounting Review, Elsevier, vol. 39(1), pages 89-107.
    7. Stewart Jones & R. G. Walker, 2007. "Explanators of Local Government Distress," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 396-418, September.
    8. Arslan, Yavuz & Kılınç, Mustafa & Turhan, M. İbrahim, 2015. "Global imbalances, current account rebalancing and exchange rate adjustments," Journal of Policy Modeling, Elsevier, vol. 37(2), pages 324-341.
    9. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    10. Mr. Ravi Balakrishnan & Mr. Volodymyr Tulin & Mr. Tamim Bayoumi, 2007. "Globalization, Gluts, Innovation or Irrationality: What Explains the Easy Financing of the U.S. Current Account Deficit?," IMF Working Papers 2007/160, International Monetary Fund.
    11. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    12. Nisansala Wijekoon & A. Abdul Azeez, 2015. "An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(7), pages 1-14, July.
    13. du Jardin, Philippe & Séverin, Eric, 2012. "Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time," European Journal of Operational Research, Elsevier, vol. 221(2), pages 378-396.
    14. Rösler, Joachim, 1985. "Die Entwicklung der empirischen Bilanzforschung zur Identifizierung gefährdeter Unternehmen," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 174, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Akarsh Kainth & Ranik Raaen Wahlstrøm, 2021. "Do IFRS Promote Transparency? Evidence from the Bankruptcy Prediction of Privately Held Swedish and Norwegian Companies," JRFM, MDPI, vol. 14(3), pages 1-15, March.
    16. Cochran, James J. & Darrat, Ali F. & Elkhal, Khaled, 2006. "On the bankruptcy of internet companies: An empirical inquiry," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1193-1200, October.
    17. Bhimani, Alnoor & Gulamhussen, Mohamed Azzim & Lopes, Samuel, 2009. "The effectiveness of the auditor's going-concern evaluation as an external governance mechanism: Evidence from loan defaults," The International Journal of Accounting, Elsevier, vol. 44(3), pages 239-255, September.
    18. Fracasso, Andrea & Schiavo, Stefano, 2009. "Global imbalances, exchange rates adjustment and the crisis: Implications from network analysis," Journal of Policy Modeling, Elsevier, vol. 31(5), pages 601-619, September.
    19. Ángel Beade & Manuel Rodríguez & José Santos, 2024. "Multiperiod Bankruptcy Prediction Models with Interpretable Single Models," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1357-1390, September.
    20. Hu, Yu-Chiang & Ansell, Jake, 2007. "Measuring retail company performance using credit scoring techniques," European Journal of Operational Research, Elsevier, vol. 183(3), pages 1595-1606, December.

    More about this item

    Keywords

    Underwriting; Investment; Reinsurance; Simplex representation; Performance;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H89 - Public Economics - - Miscellaneous Issues - - - Other
    • N25 - Economic History - - Financial Markets and Institutions - - - Asia including Middle East

    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:jpolmo:v:42:y:2020:i:2:p:419-436. 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/inca/505735 .

    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.