Current status and prospects of development of the system of agrarian insurance in Ukraine

This study begins with the assumption that the existence of abnormal circumstances will force investors to take measures to protect their investments in the capital market. Recently, the stock index in the Indonesian market has been declining and continued to fall until the end of April 2020 due to the impact of the Covid-19 pandemic. In terms of efficient market theory, prospect theory and signaling theory, this study aims to analyze the relationship between risk and return in the Indonesian capital market during the Covid-19 pandemic as a manifestation of investor behavior. To test hypotheses, the correlation test, the independent sample t-test and the Cohen test for 629 public firms with 52,836 observable data are used. The findings show that for financial sectors and non-financial sectors, the fourth period differs from previous periods when the relationship between systematic risk and stock returns is positive, although only non-financial sectors have a significant effect. The results show that efficient market theory, prospect theory and signaling theory are consistent with the phenomena around the Covid-19 pandemic in Indonesia. In addition, Cohen’s test results suggest that government policies in the face of the pandemic are successful in stimulating the market.

The COVID-19 pandemic has affected different sectors of the economy, including insurance, and has become a problem and a clear catalyst for innovation. The pandemic has highlighted some inefficiencies of the traditional model of interaction between insurers and their customers and focused on insurance companies’ efforts on innovations and investments in the digital future. That is why the article aims to generalize the transformations of the institutional environment in the InsurTech ecosystem in the context of the COVID-19 pandemic and identify prospects for its development in the post-pandemic period.
The analysis of the functioning of InsurTech as an ecosystem necessitated the identification of challenges for the insurance market in the context of COVID-19. The peculiarities of the insurance market development have been identified: the blurring of boundaries between insurers, BigTech firms, and technological partners; expanding interaction with policyholders based on the principle of support and the use of social networks; changes in the structure of the implemented insurance services; an increase in insurance fraud cases; the growing demand for parametric insurance products; introduction of a digital approach to the interaction with customers and employees, modernization of technological infrastructure and expansion of data processing capabilities; remote risk identification; acceleration in the use of financial technologies by insurance market participants. There is a transformation of the insurance market under the influence of business processes digitalization because insurers are aware of the importance of InsurTech in the formation of competitive advantages.
For many companies, the crisis has strengthened their innovative development strategies and accelerated the implementation of financial technology tools in their business processes against the background of modernization of technological infrastructure. Chatbots, telematics, the Internet of Things, machine learning, artificial intelligence, predictive analytics, etc., are widely used. In the future, InsurTech will also play an important role in introducing digital innovations in the insurance market.

Banking stability is essential to any economy due to its many functions, including intermediation, payment facilitation, and credit creation. Thus, the stability of the banking industry is one of the critical ingredients in economic growth. This paper analyzes how bank capital requirements, credit, and liquidity impact bank solvency using ten major banks that control 90% of the market share in the UK in 2009–2018.
The GMM model indicates a strong association between credit and liquidity risks. That is, when banks finance a risky or distressed project, this will lead to an increase in non-performing loans (NPL), which reduces bank liquidity. Poor liquidity profile of the bank may restrict it from providing financial intermediation role. In addition, the findings indicate that efficiency, asset quality, and economic growth have a significant positive effect on the solvency of banks. The results also show that the regulatory capital (tier1) has a positive significant influence on solvency of the banks. Further, the results indicate that during the economic boom, banks tend to increase their regulatory capital. Therefore, there is a need to ensure that during the “good time”, banks can accumulate enough capital that is genuinely capable of absorbing negative shock. Also, it is important for banks to ensure that they are efficient but also have robust credit appraisal system to reduce NPL. This paper also demonstrates the implication of increased capital requirements. That is, increased capital requirements ensure not only banks are liquid but also solvent which enables them to provide financial intermediation.