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Following the United Kingdom's (UK) withdrawal from the European Union (EU), there is uncertainty in the financial services industry on equivalence of regulatory regimes. This also affects the insurance industry. As of now, it is not clear if the UK’s supervisory regime (“Solvency UK”) will be classified as equivalent to the European Solvency II supervisory regime. After no equivalence decision was taken during the Brexit transition period and there are efforts by the UK in the form of the UK Solvency II Review and the Financial Services and Markets Bill to adapt Solvency II more to the characteristics of the national insurance market, the uncertainties are intensified. Although Solvency II non-equivalence would have a significant impact on insurance groups operating in both the UK and the EU, there has been no detailed analysis of whether these initiatives could have an impact on a future Solvency II equivalence decision. The purpose of this paper is to address and close this research gap with a literature review and a subsequent equivalence mapping and discussion.

Based on the literature review methodology, this paper draws on academic sources as well as publications from governments and regulators, articles from consultancies and subject matter experts and uses this literature to provide an overview of the current state of research on equivalence in the wider financial services industry, but specifically on Solvency II equivalence, the UK Solvency II Review and the Financial Services and Markets Bill. Based on this literature review, the paper also forms the basis for an innovative and forward-looking Solvency II equivalence mapping and discussion.

Several articles state that differences between Solvency II and Solvency UK could harm a future Solvency II equivalence decision. The UK Solvency II Review and the Financial Services and Markets Bill are two initiatives that support the objective of aligning the Solvency II supervisory regime more closely with the circumstances of the UK insurance market. Although both initiatives contribute to the fact that Solvency UK differs in parts from Solvency II, based on the literature review and the subsequent equivalence mapping and discussion, there are currently no reforms that should harm future Solvency II equivalence decisions.

This paper provides a previously non-existent overview of equivalence in the wider financial services industry, but specifically on Solvency II equivalence, the UK Solvency II Review and the Financial Services and Markets Bill, and brings them together in an innovative equivalence discussion. It thus presents the current state of knowledge on Solvency II after Brexit and develops it further around a mapping against the equivalence criteria. As non-equivalence could have significant implications for insurance groups operating in both the UK and the EU, this paper is a useful and practical study that provides a previously non-existent equivalence mapping and discussion based on current initiatives and publications. It thus closes the research gap identified and reduces uncertainties in the insurance industry and can be used as a blueprint for detailed and forward-looking equivalence mappings and discussions for the wider financial services industry.

This study aims to examine the solvency and performance persistence of defined benefit private and public pension plans (DBPPs) in the Republic of Congo.

The authors use the 2 × 2 contingency table approach and the time product ratio (TPR)-based cross-product ratio (CPR) on data covering ten years from 2011 to 2020, with variable funded ratios and excess returns, to determine the solvency and performance persistence of defined benefit pension plans.

The authors document a lack of solvency and performance persistence in DBPP funds. They conclude that the solvency and performance of DBPP funds are not repetitive. The previous year's private and public defined benefit pension funds’ results do not repeat in the current year. Hence, the current solvency and performance of defined benefit pension funds are not good predictors of future funds' solvency and performance.

To the best of the authors’ knowledge, this study is the first to combine solvency and performance to examine the persistence of defined benefit pension plans in sub-Saharan Africa.

This study aims to demonstrate and measure the impact of liquidity shocks on a bank’s solvency, especially when the bank does not hold sufficient liquid assets.

The proposed model is an extension of Merton’s (1974) model. It assesses the bank’s probability of default over one or two (short) periods relative to liquidity shocks. The shock scenarios are materialised by different net demands for the withdrawal of funds (NDWF) and may lead the bank to sell illiquid assets at a depreciated value. We consider the possibility of second-round effects at the beginning of the second period by introducing the probability of their occurrence. This probability depends on the proportion of illiquid assets put up for sale following the initial shock in different dependency scenarios.

We observe a positive relationship between the initial NDWF and the bank’s probability of default (particularly over the second period, which is conditional on the second-round effects). However, this relationship is not linear, and a significant proportion of liquid assets makes it possible to attenuate or even eliminate the effects of shock scenarios on bank solvency.

The proposed model enables banks to determine the necessary level of liquid assets, allowing them to resist (i.e. remain solvent) different liquidity shock scenarios for both periods (including eventual second-round effects) under the assumptions considered. Therefore, it can contribute to complementing or improving current internal liquidity adequacy assessment processes (ILAAPs).

The proposed microprudential approach consists of measuring the impact of liquidity risk on a bank’s solvency, complementing the current prudential framework in which these two topics are treated separately. It also complements the existing literature, in which the impact of liquidity risk on solvency risk has not been sufficiently studied. Finally, our model allows banks to manage liquidity using a solvency approach.

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 study explores the influence of the coronavirus disease 2019 (COVID-19) career experience on the investment behavior and risk tolerance of chief executive officers (CEOs). Specifically, this study focuses on CEOs' abilities to allocate financial assets and maintain solvency.

This study adopts a comprehensive approach to analyze financial assets and asset-to-liability ratios. Financial data and individual information of CEOs from listed companies are collected from 2020Q1 to 2021Q4, along with statistics on confirmed COVID-19 cases. Instrumental and alternative variables are used to examine the robustness and endogeneity of the research, ensuring a thorough analysis.

A significant positive correlation is revealed between CEOs' COVID-19 career experience and their capacity to effectively allocate financial assets. However, COVID-19 has a negative effect on firm performance in terms of solvency. These findings contribute to the empirical evidence linking the pandemic to company performance, representing part of the initial research in this area.

The study suggests that the implementation of potential policy implications, such as loose monetary policies and tax and fee reduction measures, may alleviate the tax burden on listed companies.

In a bid to enhance the stability of banks, supervisory authorities in sub-Sahara Africa (SSA) have also adopted international bank regulatory standards based on the Basel core principles. This paper aims to investigate the effectiveness of these regulations in mitigating Bank risk (instability) in SSA. The focus of empirical analysis is on examining the implications of four regulations (capital, activity restrictions, supervisory power and market discipline) on risk-taking behaviour of banks.

This paper uses two dimensions of financial stability in relation to two different sources of bank risk: solvency risk and liquidity risk. This paper uses information from the World Bank Regulatory Survey database to construct regulation indices on activity restrictions and the three regulations pertaining to the three pillars of Basel II, i.e. capital, supervisory power and market discipline. The paper then uses a two-step system generalised method of moments estimator to estimate the impact of each regulation on solvency and liquidity risk.

The overall results show that: regulations pertaining to capital (Pillar 1) and market discipline (Pillar 3) are effective in reducing solvency risk; and regulations pertaining to supervisory power (Pillar 2) and activity restrictions increase liquidity risk (i.e. reduce bank stability).

Given some evidence from other studies which show that market power (competition) tends to condition the effect of regulations on bank stability, it would have been more informative to examine whether this is really the case in SSA, given the low levels of competition in some countries. This study is limited in this regard.

The key policy implications from the study findings are three-fold: bank supervisory agencies in SSA should prioritise the adoption of Pillars 1 and 3 of the Basel II framework as an effective policy response to enhance the stability of the banking system; a universal banking model is more stability enhancing; and there is a trade-off between stronger supervisory power and liquidity stability that needs to be properly managed every time regulatory agencies increase their supervisory mandate.

This paper provides new evidence on which Pillars of the Basel II regulatory framework are more effective in reducing bank risk in SSA. This paper also shows that the way regulations affect solvency risk is different from that of liquidity risk – an approach that allows for case specific policy interventions based on the type of bank risk under consideration. Ignoring this dual dimension of bank stability can thus lead to erroneous policy inferences.

The purpose of this study is to examine how US farm sector performed in 2020, the first year of the pandemic. There were significant supply and demand shocks due to the pandemic. Furthermore, there was significant fluctuation in commodity prices and record high government payments in 2020. This study aims to examine the performance and position of US farm sector (financially) to system (and global economy) wide shocks.

The authors examine 2020 values for farm sector financial ratios before and after the onset of the Coronavirus (COVID-19) pandemic using the data from the United States Department of Agriculture to understand the financial position and performance of the US farm sector.

The authors find solvency ratios (which are indicators of the sector's ability to repay financial liabilities via the sale of assets) worsened in 2020 relative to pre-pandemic expectations. Efficiency ratios (which evaluate the conversion of assets into production and revenue) and liquidity ratios (which are indicators of the availability of cash to cover debt payments) showed mixed outcomes for the realized results in 2020 relative to the pre-pandemic forecasts. Four profitability ratios were stronger in 2020 relative to pre-pandemic expectations. All solvency, liquidity and profitability ratios plus 2 out of 5 efficiency ratios for 2020 were weaker than their respective average ratios obtained from 2000 to 2019 data.

This research is one of the first papers to use financial ratios to examine how the US farm sector performed in 2020 compared to expectations prior to the pandemic.

The increased capital requirements and the implementation of new liquidity standards under Basel III sparked various concerns among researchers, academics and other stakeholders. The question is whether Basel III regulation is ideal, that is, adequate to deal with a crisis, such as the 2007–2009 global financial crisis? The purpose of this paper is threefold: First, perform a stress testing exercise on the US banking sector, while examining liquidity and solvency risk indicators jointly under the Basel III regulatory framework. Second, allow the study to cover the post-crisis period, while referring to key Basel III regulatory requirements. And third, focus on the resilience of domestic systemically important banks (D-SIBs), which are supposed to support the US financial system in times of stress and therefore whose failure causes the entire financial system to fail.

The authors used a sample of the 24 largest US banks observed over the period Q1-2015 to Q1-2021 and a scenario-based vector autoregressive conditional forecasting approach.

The authors found that the model successfully produces accurate forecasts and simulates the responses of the solvency and liquidity indicators to different real and historical macroeconomic shocks. The authors also found that the US banking sector is resilient and can withstand both historical and hypothetical macroeconomic shocks because of its compliance with the Basel III capital and liquidity regulations, which consist of encouraging banks to hold high-quality liquid assets and stable funding resources and to strengthen their capital, which absorbs the losses incurred in a crisis.

The authors developed a framework for testing the resilience of the US banking sector under macroeconomic shocks, while examining liquidity and solvency risk indicators jointly under Basel III regulatory framework, a point not yet well studied elsewhere, and most studies on this subject are based on precrisis data. The authors also focused on the resilience of D-SIBs, whose failure causes the failure of the entire financial system, which previous studies have failed to examine.

This study aims to contribute to the analysis of the impact of financial control or “financial fair play” (FFP) regulations on the financial performance of the Spanish professional football league (LaLiga) by examining the moderating role of club size. The authors argue that introducing FFP positively impacted the financial performance of small clubs but increased the economic gap between large and small clubs.

A 12-year dataset covering 22 football clubs is used to test the hypotheses. Panel regression models are estimated for eight measures of financial performance indicators, comprising three financial dimensions: profitability, liquidity and solvency. The Gini index is applied to clubs' economic and sports variables to determine the degree of economic imbalance between the largest and smallest clubs.

The results show that FFP significantly and positively impacted the profitability of small clubs and the solvency of medium-sized clubs but has not impacted the largest clubs' financial performance. After these regulations, economic inequality in Spanish LaLiga increased.

The authors find evidence that club size moderates the effect of FFP on financial performance. The moderating role of club size may explain the mixed results found in previous research. The authors’ findings contribute to improving the literature on the impact of FFP on the financial performance of European football clubs.

This paper focused on financial constraints scenario and tax planning activities of banks in Ghana. The study explores how financial constraints could motivate the banks to pursue tax planning mechanism and the implication on tax revenue mobilisation.

The paper followed generalised method of moments and fixed effect estimators to investigate the financial constrained-tax planning activity nexus. Simulation approach is adopted to provide financially constrained bank scenario. Besides contemporaneous analysis, sensitivity analysis is conducted to determine time varying effect. Data from all the 20 commercial banks which have operated from 2008 to 2018 were used.

The paper found that when banks are faced with financial constraints, they exhibit lower cash-effective-tax-rate. The decomposition analysis also revealed that financially constrained banks are likely to take on both short- and long-term tax planning opportunities. The paper also found evidence of persistence in the tax planning activities under financial constrained scenario.

This paper is one of the few studies which have extended the tax planning literature to the Ghanaian banking sector. Further novelty is seen from the development of financial constraint scenario from liquidity and solvency. Liquidity and solvency are the anchors for continuity of banking operation and sensitive to regulatory watch and sanctions. Therefore, by applying simulation approach to trigger financial constraints scenarios from these fundamental indicators reveals the extent to which commercial banks rely on tax planning opportunities to mitigate the consequence of financial constraints.