Journal of Security and Sustainability Issues

The research includes a multidimensional comparative analysis of electricity prices in 28 European countries for non-household consumers. The highest energy prices in the first half of 2022 were also ranked in the respective analyzed countries. Increases in electricity prices for non-household consumers were examined in terms of percentage and value from the second half of 2019 to the first half of 2022 and the increases were ranked. Their leader in terms of percentage and value was Greece with the result of 353,50% which constitutes EUR 0,288 of the price increase per 1 KWh in the considered time period. A multiple regression model was also built and showed that the time series of natural gas price quotations had an impact on the increase in electricity prices for non-household consumers.

The study presents a multidimensional comparative analysis of two dependent variables: the number of passengers transported by air in 28 European countries and the price of one barrel of crude oil in dollars. The conducted analysis shows that in the historical data concerning the identical periods (months) in both tested series, dependencies can be found. This allowed for the construction of a zero-one multiple regression model in order to confirm the impact of the number of passengers travelling by air on the price of one barrel of crude oil and describe this phenomenon with an analytical function.

The objective of this empirical research is to analyze the risk-return through financial ratios as determinants of stock price in ASEAN region. To address this purpose, business firms from Malaysia, Indonesia, Thailand and Singapore are selected with a sample of 10 firms in each state over 2012 to 2016. Multiple regression technique is applied to analyze the relationship between financial ratios and stock prices. It is observed that current ratio, quick ratio, assets growth, return on assets, return on equity, return on capital employed, and price to earning ratio are significant determinants of stock price. Although this study is a reasonable addition in existing literature of financial ratios as determinants of stock price. However, contribution of the study can be viewed through covering a gap from the context of ASEAN region, which is under reserachers attentions for stock price determinants. Core limitations of the study covers limited number of sample size and five years of time duration. Besides, some ratios are missing which can be reconsidered in upcoming studies. These ratios include debt ratios, interest payment ratios, and fixed cost covered ratios as well.

Technical and fundamental analyses are the two investment making decisions widely spread all around the world. The financial crisis of 2008-2009 had a negative impact on the decisions of the Lithuanian investors to choose stock as the best investment option. However, national economics is cyclical and after recession recovery follows. Production volumes are anticipated to increase seeing that analysts forecast further GDP growth. Due to this reason, additional funding for the successful performance of enterprises will be required. Therefore, financial resources must be attracted by issuing new volumes of stocks. On the other hand, the successful performance of an issuer has a positive influence on the stock price in the market which is the subject of forecast made by the investors of Lithuania. Positive changes of stock prices in the market are partially influenced by the expectations of investors that stock prices will grow rapidly in the future. However, this feature is not known and can only be forecasted using different econometric models. At the theoretical level scientists disagree about the effectiveness of the methods used by the Lithuanian investors. Recently technical and fundamental analyses became popular among investors, though there is not much research done in order to test the effectiveness of the applicability of these methods in the Lithuanian stock market. With reference to the above mentioned information, this research is aimed to determine whether it is possible to forecast stock prices by estimating the financial ratios of a particular company. Due to this reason, a link between the return of a stock price and the financial ratios of the selected companies will be evaluated using correlation and covariance as the main analytical tools. Appropriate conclusions and suggestions are provided after obtaining reliable empirical results.