Modeling of Motor Insurance Extreme Claims through Appropriate Statistical Distributions

In the area of insurance, probability modeling has a wide variety of applications. In life insurance, the compensation sum is calculated in advance and may often be estimated using actuarial techniques, while in motor insurance, the claim amount is generally not known in advance. In the insurance business, the improvement of actuarial risk control strategies is an essential technique for controlling insurance risk. Although an insurance company’s risk assessment about its solvency is a complex and detailed problem, its solution begins with statistical modeling of individual claims’ amounts. This article emphasizes the possible ways of obtaining a suitable probability distribution model that accurately explains insurance risks and how to use such a model for risk management purposes. For this reason, we have applied modern programming techniques and statistical software implemented the methods provided based on data on premium amounts of third-party motor insurance claims.

Perception of environmental insurance risk vs. implementation of control measures in organizations managed according to ISO 14001:2015 in Poland

The numerous studies of risk perception to date have been focused on three different areas of the subject. Firstly, researchers have aimed at the identification of risk perception determinants, secondly, they have created recommendations on how to communicate the risk to society, and finally they have analysed the relationships between risk perception measures and the means of risk control implemented in organizations. The last indicated research area is complemented by the following paper. On the basis of data derived from online interviews it was concluded that the higher the assessment of the measures of environmental insurance risk perception, the more frequently organizations implemented selected means of risk control in the environmental management system according to ISO 14001 (EMS ISO 14001). The largest number of statistically significant dependencies were observed in the area of variables which describe the informative potential of EMS ISO 14001 (informative potential variables) and those which directly determine the volume of environmental insurance risk (the volume of risk variables). Simultaneously, not all categories of risk perception measures are equally related to the frequency of risk control means implementation. A particularly large number of statistically significant correlations were identified for the following variable: the evaluation of the likelihood of the occurrence of environmental damage.

Certain issues of legal regulation of animal insurance as a compulsory form of insurance

Agricultural insurance is a prerequisite for the existence of agriculture, especially for agricultural countries. The present time poses serious climatic, economic, and biological challenges to agricultural production. Insurance should become a tool that will help to balance the risks between all participants in agricultural insurance relations. Insurance should reduce the negative impact on agricultural production and living standards in the country. In the article on the basis of analysis of normative-legal acts, regulating the procedure of agricultural animals insurance the problematic issues are investigated and the ways of elimination of collisions in legal regulation of this type of insurance are offered. The problems of determining the list of animals subject to compulsory insurance are investigated and solutions are proposed. The question of legal expansion of the range of insurance risks for insurance contracts of animals in the framework of the Law of Ukraine «On peculiarities of insurance of agricultural products with state support» is analyzed. The proposed additions to the regulatory and legal acts in the field of insurance of breeding animals will lead to the harmonization of relevant legislation, as well as improve awareness of breeding animals for regulatory authorities, consumers of relevant products and insurers. Keywords: insurance, compulsory animal insurance, breeding animal insurance, insurance risk, insurance of agricultural products with state support

COMPUTATION OF BONUS IN MULTI-STATE LIFE INSURANCE

We consider computation of market values of bonus payments in multi-state with-profit life insurance. The bonus scheme consists of additional benefits bought according to a dividend strategy that depends on the past realization of financial risk, the current individual insurance risk, the number of additional benefits currently held, and so-called portfolio-wide means describing the shape of the insurance business. We formulate numerical procedures that efficiently combine simulation of financial risk with classic methods for the outstanding insurance risk. Special attention is given to the case where the number of additional benefits bought only depends on the financial risk. Methods and results are illustrated via a numerical example.

Life insurance: features, present state and problems

The essence of life insurance, its features and advantages in comparison with other kinds of insurance is considered. Influence of changes of insurance payments on change of level of payments is analyzed and the interrelation between insurance premiums and insurance payments is found out. The forecast for 2021–2023 on insurance premiums and payments accordingly is constructed. In connection with this, the study of the life insurance market in Ukraine and the identification of the main problems of its development is currently quite relevant. Life insurance plays an important role in ensuring security and social stability in the country. Considering the economic essence of life insurance, it should be noted its feature, which is a combination of properties of insurance protection and savings. In this regard, in the general insurance market of the country, its structural segment has specific features in defining the basic concepts of insurance risk and insured event. Yes, insurance risk is based on the unpredictability of the event. The brake on the development of the life insurance market in Ukraine is that the capitalization and financial condition of the vast majority of insurance companies is unsatisfactory and does not ensure their competitiveness even in the domestic market. The limited amount and imperfect structure of financial savings of most insurers prevent them from becoming an effective institution of social protection and investment in the Ukrainian economy. Among the inhibiting factors should also be noted the limited investment activities of insurers. It is defined the basic problems that hinder the development of life insurance in Ukraine.

Plan Across Borders

This chapter looks at promising regional cooperation efforts to de-escalate tensions heightened by climate change. Tackling problems like pandemics or climate change within the framework of traditional jurisdictional boundaries means that policymakers continue to treat these challenges like matters of domestic or local concern, rather than the transboundary threats that they are. Breaking down these barriers requires deep focus on cross-border solutions. For example, the climate change problem of “too little and too much water” demands transboundary consideration of evolving conditions in river basins and ocean fisheries. Risk reduction efforts that stretch across regions also offer good avenues for building disaster preparedness, including stockpiling, creating insurance risk pools, setting up systems for regional climate forecasting and early warning, and re-energizing multilateralism. Likewise, the most urgent transborder challenge of all, climate-induced migration, calls for ever greater global cooperation—not less.

Derivatives or climate insurance? Risk management tools for a soybean farmer in Brazil

This paper aims to analyze whether there is a difference between the cost/benefit of climate risk reduction and cost/benefit of soybean price in Palotina, Paraná, Brazil. The data were collected from bibliography, official and private documents. Climate data were analyzed based on the releases content. The methodology to analyze de future market data was the same as the B3. Options were analyzed as Black & Scholes model. Also, this paper developed the Leismann & Bortoluzzi index to analyze the protections cost/benefit. To compare mitigation costs, there were used the t student test. Limitations were about the Black & Scholes model, which does not consider subjective variables. Cost/benefit index of price protections were compared with the climate insurance index in order to test if there was a statistical difference between them. All tests allowed to infer that the indices are statistically different. This study concluded that climate and price insurance are excellent tools for rural enterprise risk management, and there was significant evidence to infer that the protections are feasible. Or rather, that the farmer is exposed to both types of risk and that the forms of mitigation are satisfactory in both cases.