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This research explores to answer the question: What accounts for the substantial underwriting losses in the Ghanaian insurance industry?

Thirty-four (34) insurers' audited financial reports covering the period of 2007 to 2017 were analysed through dynamic panel regression to uncover the underlying causes of high underwriting losses in the Ghanaian insurance industry.

The findings indicate that efforts at increasing market share by overtrading add no value to insurers underwriting profitability. The underwriting risk suggests that the industry charges disproportionately too small premiums for the risks it underwrites. This may indicate under-pricing by some insurers to grow their customer base.

The findings have implications for managerial efficiency and risk management structures that align compensation with underwriting efficiency.

The association between managerial preference and the underwriting performance of insurers in emerging markets has rarely been researched. This study responds to this knowledge challenge.

Insurance companies play a significant role in every economy; hence, it is essential to investigate and understand the factors that propel their profitability. Unlike previous studies that present a linear relationship, this study provides initial evidence by exploring the non-linear impacts of the determinants of profitability amongst life insurers in South Africa.

The study uses a panel dataset of 62 life insurers in South Africa, covering 2013–2019. The generalised method of moments and the dynamic panel threshold estimation technique were used to estimate the relationship.

The empirical results from the direct relationship reveal that investment income and solvency significantly predict life insurance companies' profitability. On the other hand, underwriting risk, reinsurance and size reduce profitability. Further, the dynamic panel threshold analysis confirms non-linearities in the relationships. The results show that insurance size, investment income and solvency promote profitability beyond a threshold level, implying a propelling effect on life insurers' profitability at higher levels. Below the threshold, these factors have an adverse effect. The study further points to underwriting risk, reinsurance and leverage having a reduced effect on life insurers' profitability when they fall above the threshold level.

The findings suggest that insurers interested in boosting their profit position must commit more resources to maintain their solvency and manage their assets and returns on investment. The study further recommends that effective control of underwriting risk is critical to the profitability of the life insurance industry.

The study contributes to the literature by providing first-time evidence on the determinants of life insurance companies' profitability by way of exploring threshold effects in South Africa.

This paper aims to study differences in risk behavior between holding companies that undertake both banking activity and insurance underwriting (labeled financial holding companies or FHCs) and stand-alone bank holding companies (BHCs).

The paper examines the discretionary accruals of FHCs to comparable BHCs and compares their bad loans-to-assets ratio in the future.

FHCs have lower discretionary accruals (loan loss provisions and realized capital gains) than BHCs. FHCs fare better than BHCs in terms of bad loans-to-assets ratio. Insurance underwriting has a dampening effect on discretionary accruals of FHCs.

This study raises additional research questions. Do shared governance and insurance underwriting serve as substitutes or complements? Will regulatory environment affect this relation?

When reported earnings do not match true earnings, the market participants lose the ability to price correctly, and the regulators lose the ability to effectively regulate banks. From the regulatory perspective, these findings suggest insurance underwriting by banks mitigate potential market distortions.

This paper is the first to study the effect of underwriting insurance risk on earnings management behavior of BHCs and its link to risk governance.

This study aims to examine the hypothesis that the effect of insurer risks on profitability is conditional on regulation, using two main regulatory directives in the Ghanaian insurance market as a case study.

This study used the robust ordinary least square and random effect techniques in a panel data of 30 insurers from 2009 to 2015 to test the research hypothesis.

The results suggest that regulations on no credit premium and required capital have insignificant effects on profitability of insurers. On the contrary, this study documents evidence that both policies mitigate the effect of underwriting risk on profitability and suggests that regulations significantly mitigate the negative effect of underwriting risk to improve profitability.

The finding suggests that policymakers and regulators must continue to initiate, design and model regulations such that they help tame risk to improve the performance of insurers in Ghana.

This study provides first-time evidence on the role of regulations in controlling risks in a developing insurance market.

Many governments are taking measures in support of small and medium-sized enterprises (SMEs) to mitigate the economic impact of the COVID-19 outbreak. This paper presents a theoretical model for evaluating various government measures, including insurance for bank loans, interest rate subsidy, bridge loans and relief of tax burdens.

This paper distinguishes a firm's intrinsic value and book value, where a firm can lose its intrinsic value when it encounters cash-flow crunch. Wang transform is applied to (1) calculating the appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs, (2) describing the frailty distribution for SMEs and (3) defining banks' underwriting capability and overlap index in risk selection.

Government support for SMEs can be in the form of an appropriate level of interest rate subsidy payable to incentivize banks to issue more loans to SMEs and to extend the loan maturity of current debt to the SMEs.

More available data on bank loans would have helped strengthen the empirical studies.

This paper makes policy recommendations of establishing policy-oriented banks or investment funds dedicated to supporting SMEs, developing risk indices for SMEs to facilitate refined risk underwriting, providing SMEs with long-term tax relief and early-stage equity-type investments.

The model highlights the importance of providing bridge loans to SMEs during the COVID-19 disruption to prevent massive business closures.

This paper provides an analytical framework using Wang transform for analyzing the most effective form of government support for SMEs.

Many insurance companies vigorously pursue top‐line growth, even though it has the potential to develop unprofitably over time. The time lag (or tail) between when insurance is sold and when claims are paid generates risks unique to insurance companies. Furthermore, the insurance market is both mature and efficient (i.e. its level of competitive risk is very high), which means that profitable opportunities are both rare and untenable unless protected by competitive advantage. There is currently no practical measure available (of which the authors are aware) at the business unit level to evaluate insurance premium growth in the face of the industry's risks, impairing executives' ability to assess segment opportunities (and hazards), thus hampering strategic decision making. The purpose of this paper is to introduce a practical measure developed by the authors called Underwriting Return (UWR) which aims at helping to alleviate this situation.

The paper introduces UWR which was developed during the course and scope of the authors' work in the insurance industry, and their research into applying value‐based management to that industry.

The paper finds that UWR is a practical measure that property and casualty executives can use at the business unit level to help quantify market segments to grow, hold, harvest and abandon.

A variety of strategic analysis tools, such as the popular Boston Consulting Group matrix, are utilized today. In general, the application of such tools is hampered by an imprecision of measurement but each can add a level of insight to executives' resource allocation options. UWR can further aid insurance executives in strategic analysis by helping to quantify in which segments to compete, and which ones to abandon. The paper demonstrates the utility of the measure in an example based on an actual analysis.

The aim of this research is to assess the financial performance of the life insurance industry of an emerging economy. In particular the study delves into the major determinants of the profitability of the life insurance industry of Ghana. The study also examines the relationship among the three measures of insurers' profitability, which are investment income, underwriting profit and the overall (total) net profit.

The annual financial statements of ten life insurance companies covering a period of 11 years (2000‐2010) were sampled and analyzed through panel regression.

The findings indicate that whereas gross written premiums have a positive relationship with insurers' sales profitability, its relationship with investment income is a negative one. Also, the results showed that life insurers have been incurring large underwriting losses due to overtrading and price undercutting. The results further revealed a setting‐off rather than a complementary relationship between underwriting profit and investment income towards the enhancement of the overall profitability of life insurers.

The policy implications of this study for the stakeholders of the life insurance industry are enormous. For instance, insurers must have well‐resourced actuary departments to perform price validation of all policies in order to prevent over‐trading and price undercutting by insurance marketing agents. In addition, the intention of the NIC to adopt a risk‐based approach in its supervision is not only timely but a very significant move that will improve upon the accounting and records keeping standards of the industry as well as the governance and risk management structures of the sector.

Being too obsessed with premium growth without adequate price validation can lead to self‐destruction such as huge underwriting losses. Large underwriting losses can lead to insurance insolvency during periods of cluster claims.

This study fulfills an urgent need to investigate the things that are crucial for the survival, growth and profitability of life insurers in an emerging economy.

This study is designed to investigate how the use of reinsurance affects the primary insurers' profitability and pricing on their insurance products.

This study examines the impact of reinsurance on the insurers’ profitability using a two stage least square to control the endogeneity problem with a reinsurance variable. The study analyzes 11,894 firm-year observations between 2001 and 2009.

The study finds that the use of reinsurance in general has a negative impact on property/casualty insurers' performance. However, reinsurance obtained from affiliated firms has a positive impact on profitability, which supports the existence of internal capital markets in the insurance industry.

The finding of study implies that reinsurance transactions are used among affiliated insurers for not only managing underwriting risk and increasing underwriting capacity but also subsidizing capital through internal capital markets. In term of limitation, due to the availability of price data, this study uses only one insurance cycle of 9 years, albeit not weakening the findings.

Especially for non-affiliated insurers, the finding suggests that they need to find an alternative way to transfer underwriting risk without having to use costly reinsurance.

This paper directly investigates the impact of reinsurance utilization on insurers' profitability and pricing.

The purpose of this paper is to examine the risk management practices of life assurance firms and non‐life insurance firms.

Through a comparative case study methodology, the study assesses the state of risk management in both life assurance companies and non‐life insurance firms to determine whether they exhibit different or similar risk management practices. The results of the survey were also analyzed and compared to the principles of good practices in financial risk management.

The findings of the study revealed some differences and similarities in the risk management practices of life and non‐life insurance firms. Almost all the life companies have stated their risk appetite levels, which enable them to identify which risks to absorb and which ones to transfer. But non‐life insurance firms have not laid down their risk tolerance levels explicitly. The results further revealed that the industry lacks sufficient personnel with the requisite risk management skills and that the sector does not manage risks proactively, rather they do so in a reactive response to regulatory directives.

Effective management of risks by insurers will increase the penetration of insurance in Ghana.

Risk management is a crucial issue, not only for the survival and profitability of the insurance industry, but also for the socio‐economic growth and development of the whole economy. As major risks underwriters, insurance companies need to adopt good practices or quality measures in the management of financial risk. This is important, more so, as the industry prepares to re‐position itself to underwrite the risks in the emerging oil and gas industry of Ghana.

Research into financial risk management in the insurance industry from the Ghanaian perspective is rare. This study is therefore timely and its findings are invaluable for the efficient management of financial risk in the insurance industry.

The purpose of this paper is to provide insights on how a firm's size is related to risk taking of Malaysia's insurance companies, from 2000‐2010.

The sample used for empirical testing in this study comprised direct insurance firms licensed under Malaysia's Insurance Act 1996, for the time frame between 2000 and 2010. Pearson's correlation, fixed and random effects models, and the system Generalized Method of Moments (GMM) method were used in this study.

Both the fixed effects and the system GMM panel data regression models suggested a positive link between the insurance firm size and underwriting risk. For the robustness test, the results of the analysis using changes in data broadly resemble the outputs of the levels estimation.

The sample of this study is limited to Malaysia's insurance sector only.

Advocates of the too‐big‐to‐fail (TBTF) theory believe that government support and the guarantee of a financial bailout are warranted for large financial institutions facing crises, for the main purpose of avoiding disruptions within a country's economy. The drawback, however, may be that the TBTF doctrine is the culprit behind excessive risk taking by insurance firms of large proportions. A number of regulatory concerns have been raised and addressed from this study.