Research and methodological framework for managing the economic security of financial intermediaries in Ukraine

In the article, the essence of the concept of a banking institution “capitalization” is revealed. The current state of capitalization level of domestic banks is investigated. The directions of strengthening the capitalization are offered, which will increase the com¬petitiveness of domestic banking institutions in the world financial market and will ensure the national economy stability on the way toward integration into the world economy.
It is proved that the prospects for the development of any bank are largely determined by its capitalization level. Lack of proper development inhibits both individual banks and the banking sector as a whole.
In the context of the recent financial crisis, the provision of sufficient capital for banks has been one of the key issues, because the lack of capital was the greatest threat to the banking system stability. With this in mind, the issue of the banking system capitaliza¬tion is particularly topical.
Today, the development of the Ukrainian banking system under economic instability has faced the increase in competitiveness of domestic banks compared with foreign ones, in order to preserve the national priorities of the banking system in general under conditions of foreign capital movement.
The processes of concentration in the banking system of Ukraine are analyzed using Herfindahl-Hirschman index in terms of assets and equity, allowing to estimate the level of monopolization and, therefore, the impact on economic development. To con¬sider the increase in the level of capitalization and reliability of the banking institutions of Ukraine, it would be advisable, first of all, for banks to improve the quality of capital and to ensure a sufficient level of coverage of risks taken by banks.

The government bond (GB) has become the most attractive investment portfolio option, even though many macroeconomic factors affect the bond yield. This paper aims to investigate the determining factor of local currency government bond yield by considering the inflation rate, credit default swap, stock market index, exchange rate, and volatility index. This study used 240 data panel from the Bloomberg stock market in the form of data panel covering Southeast developing countries, namely Indonesia, Thailand, Malaysia, and the Philippines, for five years or sixty months from January 2015 to December 2019. Data analysis used recursive models and multivariate regression techniques using EViews software. The random effect model results revealed that change in the foreign exchange rate and volatility indexes affected, partially and simultaneously, the changes in the stock market index. The result also showed that changes in the stock market index, inflation rate, and credit default swap affected, partially and simultaneously, government bond yield changes. These results suggest that the government bond yield could be managed by controlling volatility index, foreign exchange rate, stock market index, inflation rates, and credit default swaps. This finding could provide an insight into the policymaker and fiscal authority on managing the risk of government bonds under control during high volatility or even making it reasonably lower. This result could contribute to the current research in the field of financial management.

Acknowledgment
It is the author’s pleasure to thank Muhammad Aulia SE MSc CSA® from the Ministry of Finance of Republic Indonesia, for his invaluable contribution to encourage this study and also to share the data required for this paper. He also delivers essential insights into improving the quality of this work. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

The stock market represents complex systems where multiple agents interact. The complexity of the environment in the financial markets in general has encouraged the use of modeling by multi-agent platforms and particularly in the case of the stock market.
In this paper, an agent-based simulation model is proposed to study the behavior of the volume of market transactions. The model is based on the case of a single asset and three types of investor agents. Each investor can be a zero intelligent trader, fundamentalist trader or traders using historical information in the decision making process. The goal of the study is to simulate the behavior of a stock market according to the different considered endogenous and exogenous variables.