Abstract
We investigate the determinants of financial performance of UK insurance companies based on their financial strength ratings. We use data from the A.M. Best Insurance for 49 UK insurers for 2006–2009. Our findings show that profitability, liquidity, size and organisational form are the significant determinants that affect financial performance of insurance companies in the UK. We recommend an effective, alternative variable to more effectively measure the size of an insurance company, which is based on the gross premium written. We find that gross premium written is more appropriate for measuring company size in the insurance industry.
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References
Adams M, Burton B, Hardwick P (2003) The determinants of credit ratings in the United Kingdom insurance industry. J Bus Finance Account 30(3–4):539–572
Afonso A, Gomes P, Rother P (2007) What “Hides” behind sovereign debt ratings? ECB Working Paper No. 711. Available at SSRN: https://ssrn.com/abstract=954705
Alali MS, Boyabes HS, Alfailakawi AS (2018) The evaluation of macroeconomic factors influence on the financial performance of general insurance companies listed at the Kuwait stock exchange. Int Acad J Econ Finance 3(2):427–434
Alexander D (2010) Global financial crisis. The impact on the Insurance Industry. Paper presented at the 12th Global Conferences of Actuaries, 18–19 February 2010, Mumbai. Swiss Re. Publications
Allison PD (1995) Event history analysis. Sage University Paper Series on Quantitative Applications in the Social Sciences
Altman EI, Rijken HA (2004) How rating agencies achieve rating stability. J Bank Finance 28(11):2679–2714
Almajali YA, Alamro SH, Al-Soub YZ (2012) Factors affecting the financial performance of Jordanian Insurance Companies listed at Amman Stock Exchange. J Manage Res. https://doi.org/10.5296/jmr.v4i2.1482
Amato JD, Furfine CH (2004) Are credit ratings procyclical? J Bank Finance 28(11):2641–2677
Barua B, Barua S, Rana RH (2018) Determining the financial performance of non-life insurers: static and dynamic panel evidence from an emerging economy. J Dev Areas 52(3):153–167
Boumparis P, Milas C, Panagiotidis T (2017) Economic policy uncertainty and sovereign credit rating decisions: panel quantile evidence for the Eurozone. J Int Money Finance 79:39–71
Ceccarelli S (2003) Insolvency risk in the Italian non-life insurance companies: an empirical analysis based on a cash flow simulation model
Charumathi B (2012) On the determinants of profitability of Indian life insurers–an empirical study. In: Proceedings of the World Congress on Engineering, WCE 2012, London, July 4–6
Chen L, Gaver JJ, Pottier SW (2018) An Investigation of the short-run and long-run stock returns surrounding insurer rating changes. J Risk Insur 85(1):35–67
Ciumaş C, Oniga A, Popa I (2015) The rating of insurance companies during the financial crisis. Proc Econ Finance 32:1494–1504
Cole CR, He E, McCullough KA, Semykina A, Sommer DW (2011) An empirical examination of stakeholder groups as monitoring sources in corporate governance. J Risk Insur 78(3):703–730
Doumpos M, Gaganis C, Pasiouras F (2012) Estimating and explaining the financial performance of property and casualty insurers: a two-stage analysis. JCC Bus Econ Res J 5(2):155–170
Eckles DL, Pottier SW (2011) Is efficiency an important determinant of AM Best property-liability insurer financial strength ratings? J Insur Issues 34:18–33
Eling M, Gatzert N, Schmeiser H (2009) Minimum standards for investment performance: A new perspective on non-life insurer solvency. Insur Math Econ 45(1):113–122
Epermanis K, Harrington SE (2006) Market discipline in property/casualty insurance: evidence from premium growth surrounding changes in financial strength ratings. J Money Credit Bank 38:1515–1544
Florez-Lopez R (2007) Modelling of insurers rating determinants. An application of machine learning techniques and statistical models. Eur J Oper Res 183(3):1488–1512
Gaillard N (2012) Fitch, Moody’s, and S&P sovereign ratings and EMBI global spreads: Lessons from 1993–2007. In: A century of sovereign ratings. Springer, New York, pp 149–170
Gaver JJ, Pottier SW (2005) The role of holding company financial information in the insurer-rating process: evidence from the property-liability industry. J Risk Insur 72(1):77–103
Greene W (2004) Econometric analysis, Pearson, New York
Greene WH, Hensher DA (2010) Modeling ordered choices: a primer and recent developments. Available at SSRN: https://ssrn.com/abstract=1213093. Accessed 1 July 2019
Grunert J, Norden L, Weber M (2005) The role of non-financial factors in internal credit ratings. J Bank Finance 29:509–531
Gu J, Jones JS, Liu P (2014) Do credit rating agencies sacrifice timeliness by pursuing rating stability? Evidence from equity market reactions to Creditwatch events. Theor Econ Lett 4:311–322
Jackson P, Perraudin W (2000) Regulatory implications of credit risk modeling. J Bank Finance 24(1–2):1–14
Kartasheva AV, Park SC (2013) Real effects of rating standards for catastrophic risks. Bank for International Settlements. https://doi.org/10.2139/ssrn.2364734. Available at SSRN: https://ssrn.com/abstract=2364734. Accessed 1 July 2019
Katchova A (2013) Ordered probit and logit models. Econometrics Academy. from sites. google.com/site/econometricsacademy
Kirkbeşoğlu E, McNeill J, Özder EH (2015) An evaluation of the effectiveness of insurance organizations at providing information to policyholders: a cross-cultural comparison between United Kingdom and Turkey
Mazviona BW, Dube M, Sakahuhwa T (2017) An analysis of factors affecting the performance of insurance companies in Zimbabwe. J Finance Invest Anal 6(1):1–21
Mehari D, Aemiro T (2013) Firm specific factors that determine insurance companies’performance in Ethiopia. Eur Sci J 9(10):245–255
Omondi MM, Muturi W (2013) Factors affecting the financial performance of listed companies at the Nairobi Securities Exchange in Kenya. Res J Finance Account 4(15):99–104
Öner Kaya E (2015) The effects of firm-specific factors on the profitability of non-life insurance companies in Turkey. Int J Financ Stud 3(4):510–529
Pottier SW (1997) Life insurer financial distress, Best’s ratings and financial ratios. J Risk Insur 65:275–288
Pottier SW, Sommer DW (1999) Property-liability insurer financial strength ratings: differences across rating agencies. J Risk Insur 66:621–642
Salisu A (2016) Analyses of ordered logit and probit models. Available at ResearchGateNet: https://doi.org/10.13140/rg.2.2.10458.13761
Sharpe IG, Stadnik A (2007) Financial distress in Australian general insurers. J Risk Insur 74(2):377–399
Simpson AG (2013) Insurers, customers were kept safe from 2008 financial crisis: GAO Report. Available at www.insurancejournal.com/news/national/2013/07/30/299999.htm. Accessed 1 July 2019
Torbati AR, Sayadi MK (2018) A new approach to investigate the performance of insurance branches in iran using best-worst method and fuzzy inference system. J Soft Comput Decis Supp Syst 5(4):13–18
Torres-Reyna O (2012) Getting started in Logit and ordered logit regression. Princeton University, http://dss.princeton.edu/training/Logit.pdf. Accessed 1 July 2019
Van Gestel T, Martens D, Baesens B, Feremans D, Huysmans J, Vanthienen J (2007) Forecasting and analyzing insurance companies’ ratings. Int J Forecast 23(3):513–529
Weiss CR (1998) Size, growth, and survival in the upper Austrian farm sector. Small Bus Econ 10(4):305–312
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Sharma, A., Jadi, D.M. & Ward, D. Analysing the determinants of financial performance for UK insurance companies using financial strength ratings information. Econ Change Restruct 54, 683–697 (2021). https://doi.org/10.1007/s10644-019-09260-w
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DOI: https://doi.org/10.1007/s10644-019-09260-w