Do pension funds provide financial stability? Evidence from European Union countries

Peksevim, Seda; Ercan, Metin

doi:10.1007/s10693-023-00408-4

Cited by 2 publications

(1 citation statement)

References 62 publications

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“…Pension funds and insurers are significant stockholders in economic marketplaces (Pinkus, 2023). They are a basis for stabilizing monetary needs (Peksevim & Ercan, 2023). Nevertheless, insurers help protect household stability and professional equilibrium by protecting their risks (Babuna et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa

Ige-Gbadeyan,

Johannes Swanepoel

2023

Insurance Markets and Companies

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This study aimed to determine the effect of operational efficiency on financial health of non-life insurance companies in South Africa. Operational efficiency refers to an insurer’s ability to deliver its services while minimizing costs and maximizing profitability. A descriptive research design was used to achieve the objective of this study. The panel data from 2008–2019 used secondary data sourced from S&amp;P Capital Q and Refinitiv Eikon, well-known databases with readily available data. The population of this study focuses on 32 non-life insurance companies with measurable markets of 57 domestic non-life insurance providers in South Africa. Data were analyzed using Fixed-effect regression, (Random-effect GLS regression, correlation, and the Hausman test. The result reveals that of all the variables, only premium growth correlates significantly (negative correlation) with financial health. This could be a result of a specific investment that resulted in a lower rate than that of a risk-free security. It is also important to note that a negative premium does not always indicate a problem. This can happen due to cancellations of reinsurance, reinsurer closures, paid off reinsurance ahead of time, under- pricing policies, inadequate reserves, high claim frequency, operational inefficiencies, investment losses, inadequate risk assessment, economic downturn, regulatory changes, catastrophic event, and any other events. It is essential for non-life insurance companies to carefully manage their underwriting practices, risk assessment, pricing strategies, and investment portfolios to avoid negative premium situations and maintain financial health.

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Section: Introductionmentioning

confidence: 99%

Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa

Ige-Gbadeyan,

Johannes Swanepoel

2023

Insurance Markets and Companies

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A novel fuzzy decision-making approach to pension fund investments in renewable energy

Yüksel,

Eti,

Dinçer

et al. 2025

Financ Innov

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Pension fund must consider some significant issues when making renewable energy project investment decisions. It is necessary to determine the most important factors and prioritize the indicators. Accordingly, the purpose of this study is to conduct a priority analysis of the determinants of investment in renewable energy projects by pension funds. This study constructs a novel fuzzy decision-making model. First, five indicators for this process are weighted using an entropy methodology based on sine trigonometric Pythagorean fuzzy sets. The CRITIC methodology is also considered to make a comparative evaluation. Second, five different clean energy investment alternatives for pension funds are ranked using the RATGOS methodology. Similarly, this ranking analysis is also made by considering TOPSIS technique to check the reliability of the results. The main contribution of this study is the creation of a new and comprehensive fuzzy decision-making model to identify the most important factors in renewable energy project investments for pension funds. The proposed model uses the RATGOS technique to rank clean energy investment alternatives for pension funds. By considering the geometrical mean in the RATGOS calculation process, criticisms related to existing ranking techniques can be overcome. The use of sine trigonometric Pythagorean fuzzy numbers provides significant benefits to the quality of the proposed decision-making model. The defuzzification process can be implemented appropriately using these sets. Therefore, this study’s findings pave the way for investors to make investment decisions under these circumstances. It is concluded that the most important criterion is risk minimization. Effective regulations are another critical issue. Furthermore, the ranking results indicate that the most suitable renewable energy alternative is green bonds. The comparative results with STPFY-TOPSIS show that the proposed model generates coherent and reliable findings. Graphical abstract

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Do pension funds provide financial stability? Evidence from European Union countries

Cited by 2 publications

References 62 publications

Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa

Determinants of operational efficiency on the financial health of non-life insurance companies in South Africa

A novel fuzzy decision-making approach to pension fund investments in renewable energy

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