The investment model of fixed assets renovation in the agricultural industry: case of Ukraine

Money is a widely accepted commodity, which enables us to determine the economic value of purchased goods and services and make payments. The dynamic development of technology and social expectations has expanded the spectrum of available types of payment instruments, including e-money and cryptocurrencies. Among dematerialized means of payment, cryptocurrencies began to play an important role due to their independence from central financial institutions and a highly effective form of saving money. The paper aims to present legal authorization, referring to cryptocurrencies, in countries of the European Union and prove that bitcoin is a high-riskу financial instrument. The methodology of the study was based on the review of available legal acts and literature (regarding the nature and function of money) and Value at Risk (VaR) model on the example of risk assessment of cryptocurrencies with respect to investing in the selected currencies. The outcomes showed several discrepancies in the definition of cryptocurrencies. They indicated that bitcoin, as one of the best-known cryptocurrencies, does not fulfill the functions of money formulated in economic theory (in relation to e-money). Besides, cryptocurrencies have been shown to be high-risky instruments.

The investment policy of the state is an important tool for diversifying the economy. This paper analyzes the share of capital investment in GDP, the index of fixed capital investment for 2015–2019, and assesses the investment policy determinants of the state of developed countries and emerging countries. Correlation-regression analysis methods were used to determine the relationship between real GDP, the share of industrial output in GDP, and the index of fixed capital investment in countries with economies in transformation. As a result, it was determined that in the vast majority of countries studied, the increase in investment in fixed assets contributes to the acceleration of economic growth, and the level of economic growth determines the investment potential of countries; that the heterogeneity of the impact of investment on the level of economic growth in countries with transformational economies is due to their raw material orientation, insufficient level of validity and predictability of the implemented investment policy of the state; the state’s investment policy is an important tool for ensuring macroeconomic stability and stimulating economic growth in a recession. Using the data of the panels for the period from 2015 to 2019, it is substantiated that the creation of conditions for macroeconomic balance will increase business activity of enterprises, which is the result of purposeful influence of state investment policy on economic processes by ensuring quality transformation and innovation of the national economy. The obtained results show that the level of influence of the state investment policy on the level of economic growth varies significantly depending on the level of development of financial institutions in the country and the infrastructure of the financial market.

The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy based on Bollinger Bands and Relative Strength Index performed the best. Performance was considered with respect to both the number of stocks having a net profit and the number of stocks that were able to outperform the buy-and-hold strategy for the time period considered. The study considered several combined strategies and performance indicators, whereas previous studies used limited indicators. Out of the 14 stocks considered, the Simple Moving Average strategy was able to generate net profit for 8 stocks and it outperformed the buy-and-hold strategy for 6 stocks, Exponential Moving Average – Relative Strength Index strategy generated net profit for 6 stocks and it outperformed the buy-and-hold strategy for 5 stocks, and the Bollinger Bands – Relative Strength Index generated net profit for 11 stocks and it outperformed the buy-and-hold strategy for 10 stocks. The Bollinger Bands – Relative Strength Index strategy was able to outperform as it was more dynamic and entered and exited positions actively.