Unravelling the Dynamics: The Effects of Leverage on the Financial Stability of Insurance Firms in Kenya

Authors

  • Bonface Mugo Ritho Kenyatta University
  • Eddie Simiyu Kenyatta University
  • Job Omagwa Kenyatta University

DOI:

https://doi.org/10.53819/81018102t4162

Abstract

Despite the crucial part that the insurance industry plays, firms operating in this sector have been having trouble maintaining their financial stability. The insurance industry has faced considerable volatility in profitability, resulting in some firms being placed under receivership or even going out of firm. The purpose of this study was to analyse the effect of leverage on financial stability of insurance firms in Kenya. The study was informed by Pecking Order Theory. The research was conducted using an explanatory research design, and the positivist philosophical approach was utilized. The target population for this study consisted of the 46 insurance firms that held IRA licenses and were operating during the time period under consideration (2014-2021). The census method was utilized for the research thesis, which focused on all 46 insurance firms in Kenya. The study used secondary data obtained from audited financial statements, which were publicly available on the websites of individual insurance firms. To gather panel data for the study, a secondary data collection template was employed. In order to draw conclusions from the data that was gathered, this study employed both descriptive and inferential statistical methods. The study employed a generalized method of moments modelling guided by static panel regression. The data processing was done using the Stata software. The research findings were presented through the use of tables, figures, and graphs. The findings of this study showed that leverage significantly and negatively impacted the financial stability of Kenyan insurance firms (β = -3.513831, p = 0.000 < .05). The study concludes that if leverage challenges are not adequately managed, they can have a detrimental influence on the profitability and capital of a particular insurance sector, and in the worst case scenarios, they can even force insurance sectors that are otherwise financially secure to fail. The study recommends that the general insurers in Kenya should enhance their leverage in order to strengthen the financial stability of their firms. However, insurance firms should be careful not to leverage themselves too much, since this can also be damaging to their long-term sustainability.

Keywords: Unravelling Dynamics, Financial Leverage, Financial Stability, Insurance Firms, Insurance Industry Stability, Kenya

Author Biographies

Eddie Simiyu , Kenyatta University

School of Business, Economics and Tourism

Job Omagwa , Kenyatta University

School of Business, Economics and Tourism

References

Acharya, V. V., Biggs, J., Richardson, M., & Ryan, S. (2009). On the financial regulation of insurance firms. NYU Stern School of Firm, August. 2(9), 42-65.

Acharya, V. V., Engle, R. F., &Pierret, D. (2017). Testing macroprudential stress tests: The risk of regulatory risk weights. Journal of Monetary Economics, 92, 16-34.

Agung, R., Atiti, F., & Kimani, S. (2019). Competition and Banking Sector Stability in Kenya. Kenya Bankers Working Paper Series.

Ahamed, M. M., & Mallick, S. K. (2017). Does corporate leverage affect financial stability? Evidence from the United States and United Kingdom. Journal of Corporate Finance, 46, 332-349.

Alghusin, N. A. S. (2015). Do financial leverage, growth and size affect profitability of Jordanian industrial firms listed. International Journal of Academic Research in Firm and Social Sciences, 5(4), 385-398. https://doi.org/10.6007/IJARBSS/v5-i4/1580

Alhassan, A. L., Addisson, G. K., & Asamoah, M. E. (2015). Market structure, efficiency and profitability of insurance firms in Ghana. International Journal of Emerging Markets. 7(4), 982-1000. https://doi.org/10.1108/IJoEM-06-2014-0173

Altman EI, Iwanicz-Drozdowska M, Laitinen EK, (2017) Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model. J Int Financ Manage Account 28: 131–171. doi: 10.1111/jifm.12053

Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277-297. https://doi.org/10.2307/2297968

Aspris, A., Foley, S., &Svec, J. (2018). Leverage and the financial cycle: evidence from non-financial firms. Journal of Banking & Finance, 92, 132-146.

Banafa, A. S, Muturi, W & Ngugi, K (2015). The impact of leverage on financial performance of listed non-financial firm in Kenya. International Journal of Finance and Accounting 4 (7), 1-20.

Batool, A., &Sahi, A. (2019). Determinants of financial performance of insurance firms of USA and UK during global financial crisis (2007–2016). International Journal of Accounting Research, 7(1), 1-9. https://doi.org/10.35248/2472-114X.19.7.194

Boloupremo, T., &Ogege, S. (2021). Effects of Supervision on Financial Stability and Performance of Insurance Firms in Nigeria. Acta Universitatis Danubius. Œconomica, 17(4).

Bushman, R. M. (2014). Thoughts on financial accounting and the banking industry. Journal of Accounting and Economics, 58(2-3), 384-395. https://doi.org/10.1016/j.jacceco.2014.09.004

Casu, B., Girardone, C., & Molyneux, P. (2016). Introduction to banking (Vol. 10). Pearson education.

Chadha, S., & Sharma, A. K. (2015). Capital structure and firm performance: Empirical evidence from India. Vision, 19(4), 295-302. https://doi.org/10.1177/0972262915610852

Chan, B., Patnaik, B. C. M., &IpseetaSatpathy, D. L. (2018). Determinants of leverage and its impact on performance Ethiopian insurance industry. Technology, 9(13), 890-905.

Chan, W. H., & Wong, K. L. (2019). Inflation and financial stability in Hong Kong. Journal of Asian Economics, 63, 1-14.

Chen, M., & Wei, Y. (2021). Does insurance regulation affect financial stability? Evidence from the global insurance industry. Journal of Banking & Finance, 1(29), 10-29. https://doi.org/10.1111/j.0022-4367.2004.00099.x

Chen, R., & Wong, K. A. (2004), “The determinants of financial health of Asian insurance firms”, Journal of Risk and Insurance, 71 (3) 469-499. https://doi.org/10.1007/978-3-030-33416-1_14

Chen, Y., & Markatou, M. (2020). Kernel tests for one, two, and k-sample goodness-of-fit: state of the art and implementation considerations. Statistical Modeling in Biomedical Research, 309-337. https://doi.org/10.1007/978-3-030-33416-1_14

Dang, V. A., Kim, M., & Shin, H. S. (2020). The distress premium and corporate leverage. The Review of Financial Studies, 33(9), 4105-4147.

Emerson, R. W. (2015). Causation and Pearson's correlation coefficient. Journal of visual impairment & blindness, 109(3), 242-244. https://doi.org/10.1177/0145482X1510900311

European Parliament and Council. (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation). Official Journal of the European Union, L119, 1-88.

Gadzo, S. G., &Asiamah, S. K. (2018). Assessment of the relationship between leverage and performance: An empirical study of unlisted banks in Ghana. Journal of Economics and International Finance, 10(10), 123-133. https://doi.org/10.5897/JEIF2018.0920

Grace, M. F., & Hotchkiss, J. L. (2015). External impacts on the property-liability insurance cycle. Journal of Risk and Insurance, 738-754. https://doi.org/10.2307/253593

Grace, M. F., Leverty, J. T., Phillips, R. D., &Shimpi, P. (2015). The value of investing in enterprise risk management. Journal of Risk and Insurance, 82(2), 289-316. https://doi.org/10.1111/jori.12022

Gujarati, D. N. (2021). Essentials of econometrics. SAGE Publications.

Hale, A. (1984). A discourse pecking order. Theory and Application in processing texts in non-Indoeuropean languages, Papers in Textlinguistics, 43, 1-24.

Heimer, C. A. (1985). Allocating information costs in a negotiated information order: Interorganizational constraints on decision making in Norwegian oil insurance. Administrative Science Quarterly, 395-417. https://doi.org/10.2307/2392671

Hodder, J. E., &Tschoegl, A. E. (1985). Some aspects of Japanese corporate finance. Journal of Financial and Quantitative Analysis, 20(2), 173-191. https://doi.org/10.2307/2330954

Hsiao, C. (2007). Panel data analysis—advantages and challenges. Test, 16(1), 1-22. https://doi.org/10.1007/s11749-007-0046-x

Ibhagui, O. W., &Olokoyo, F. O. (2018). Leverage and firm performance: New evidence on the role of firm size. The North American Journal of Economics and Finance, 45, 57-82. https://doi.org/10.1016/j.najef.2018.02.002

Jensen, M. C., &Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of financial economics, 3(4), 305-360. https://doi.org/10.1016/0304-405X(76)90026-X

Jordan, T. J. (2018). How money is created by the central bank and the banking system. Speech at the ZürcherVolkswirtschaftliche Gesellschaft, Zurich, 16.

Kaya, E. Ö. (2015). The effects of firm-specific factors on the profitability of non-life insurance firms in Turkey. International Journal of Financial Studies, 3(4), 510-529. https://doi.org/10.3390/ijfs3040510

Khan, A., Ishaq, H. M., Mahmood, M., & Ahmad, N. (2021). Capital adequacy and financial stability: evidence from Pakistani insurance firms. Journal of Financial Reporting and Accounting, 19(1), 38-60.

Kim, D., Paggi, J. M., Park, C., Bennett, C., &Salzberg, S. L. (2019). Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nature biotechnology, 37(8), 907-915. https://doi.org/10.1038/s41587-019-0201-4

Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and sample size. Korean journal of anaesthesiology, 72(4), 331. https://doi.org/10.4097/kja.d.18.00292

Kimeu, F. M. (2020). Capital Adequacy and Performance of Listed Commercial Banks in Kenya (Doctoral dissertation, United States International University-Africa).

Kiragu, S. M. (2014). Assessment of challenges facing insurance firms in building competitive advantage in Kenya: A survey of insurance firms. International journal of social sciences and entrepreneurship, 1(11), 467-490.

Kithandi, C. P. A., &Katua, C. (2019). Financial Leverage and Financial Performance of the Energyand Petroleum Sector Firms Listed in The Nairobi Securities Exchange (Doctoral dissertation, Kenyatta University). https://doi.org/10.29322/IJSRP.10.03.2020.p9972

Lai, G. C., Lin, Y., & Lin, Y. (2014). Does size matter? A study of firm value, size, and diversification of insurance firms. The Geneva Papers on Risk and Insurance-Issues and Practice, 39(3), 450-469.

Manaseer, S., & Al-Oshaibat, S. D. (2018). Validity of Altman Z-score model to predict financial failure: Evidence from Jordan. International Journal of Economics and Finance, 10(8). https://doi.org/10.5539/ijef.v10n8p181

Martin, N. (2023). Robust and efficient Breusch-Pagan test-statistic: an application of the beta-score Lagrange multipliers test for non-identically distributed individuals. arXiv preprint arXiv:2301.07245.

Martinez, L. B., Scherger, V., & Guercio, M. B. (2018). SMEs capital structure: trade-off or pecking order theory: a systematic review. Journal of Small Firm and Enterprise Development. https://doi.org/10.1108/JSBED-12-2017-0387

Mohamad, N. E. A. B., &Murugesu, P. (2020). Linkages between Capital Structure, Property Overhang and Financial Sustainability: Evidence from Property Sector in Malaysia. Global Firm& Management Research, 12(4).

Muduli, A., &Raval, D. (2018). Examining the role of work context, transfer design and transfer motivation on training transfer: Perspective from an Indian insurance industry. European Journal of Training and Development. https://doi.org/10.1108/EJTD-09-2017-0078

Murigu, J. W. (2014). The determinants of financial performance in general insurance firms in Kenya (Doctoral dissertation, University of Nairobi).

Murtagh, F., & Heck, A. (2012). Multivariate data analysis (Vol. 131). Springer Science &Firm Media.

Mwangi, G. (2017). Effects of Macroeconomic Variables on Financial Perfomance of Insurance Firms in Kenya (Doctoral dissertation, United States International University-Africa).

Mwangi, P. W. (2019). Factors Affecting Financial Performance in the Kenyan Non-Life Insurance Sector (Doctoral dissertation, University of Nairobi).

Onyinyechi, U. G. (2019). Debt financing and corporate finance performance: a dynamic investigation from Nigeria quoted firms. American International Journal of Firm and Management Studies, 1(1), 48-59. https://doi.org/10.46545/aijbms.v1i1.38

Pesaran, M. H., & Zhou, Q. (2018). Estimation of time-invariant effects in static panel data models. Econometric Reviews, 37(10), 1137-1171. https://doi.org/10.1080/07474938.2016.1222225

Pfeifer, D., &Langen, V. (2021). Insurance firm and Sustainable Development. arXiv preprint arXiv:2102.02612. https://doi.org/10.5772/intechopen.96389

Pindado, J., &Requejo, I. (2015). Panel data: A methodology for model specification and testing. Wiley encyclopedia of management, 1-8. https://doi.org/10.1002/9781118785317.weom040013

Raheman, A., & Nasr, M. (2017). Working capital management and profitability–case of Pakistani firms. International review of firm research papers, 3(1), 279-300.

Raza, M. S., Tang, J., Rubab, S., & Wen, X. (2019). Determining the nexus between financial inclusion and economic development in Pakistan. Journal of Money Laundering Control. https://doi.org/10.1108/JMLC-12-2017-0068

Ulate, M. (2019, September). Going negative at the zero lower bound: The effects of negative nominal interest rates. Federal Reserve Bank of San Francisco. https://doi.org/10.24148/wp2019-21

Usman, M. (2019). The impact of capital structure on financial performance of consumer goods industry in Nigeria. Open Journal of Accounting, 8(4), 47-62. https://doi.org/10.4236/ojacct.2019.84004

Valckx, N., Chan-Lau, J. A., Feng, A., Huston, B., Impavido, G., Jobst, A. A., & Yan, K. (2016). The Insurance Sector-Trends and Systemic Risk Implications. Global Financial Stability Report, IMF. https://doi.org/10.2139/ssrn.2795694

Zurigat, Z. (2009). Pecking order theory, trade-off theory and determinants of capital structure: empirical evidence from Jordan (Doctoral dissertation, Heriot-Watt University).

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Published

2023-06-26

How to Cite

Ritho, B. M., Simiyu , E., & Omagwa , J. (2023). Unravelling the Dynamics: The Effects of Leverage on the Financial Stability of Insurance Firms in Kenya. Journal of Finance and Accounting, 7(4), 42–62. https://doi.org/10.53819/81018102t4162

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