Journal of Security and Sustainability Issues

The multidimensional comparative analyzes of transportation of people by rail were used in the article. The time series was analyzed and evaluated in order to detect the following phenomena: trend, seasonality and random factor. The initial time series was divided into parts in order to remove data that, due to the impact of a random phenomenon such as the COVID-19 pandemic, lost trends visible in the past (from January 2012 to December 2019). The Winters’ exponential smoothing method was used for the forecasting. The obtained forecast for 2024 is 390 380 000 passengers transported by rail in Poland. The mean absolute forecast error is 2,18.

The multidimensional comparative analysis and the forecasting of minimum salaries in 21 European countries were conducted in the study. The research began with the ranking of the data, the amount of salary rates taken as a basis, the rise expressed in euro and the values of dynamics indices on a constant base. Then the data was aggregated. The time series of the lowest salaries in 21 European countries was analyzed and evaluated. Thus, regularities were observed that were used to select the Holt-Winters’ exponential smoothing method for the forecasting of these salaries. The obtained forecasts were analyzed and evaluated with the use of indices, such as forecasting errors.

Forecasting of monetary policy tools, including reserve money of the Central Bank of Poland, in order to optimise economic decisions made by business entities operating on this market, becomes a basic canon of knowledge, in order to minimise a risk of undertaken economic operations – is currently the area of our investigation. The article raises a problem of forecasting the reserve money of the Central Bank of Poland on the basis of initial information received from the National Bank of Poland. The studies started with analysis and evaluation of time series of reserve money of the Central Bank in Poland. Then the analysed series were divided into two parts. Based on obtained results, the researchers performed forecasting of the first part of separated time series of reserve money of the Central Bank in Poland with the use of different methods. The above mentioned time series consists of 132 elements. Later on, the researches chose the best forecasting method and that was the basis for initial time series forecasting of reserve money of the Central Bank in Poland in mil PLN in retrospective terms during 2010-2021 for the next 2021-2022 years.

The article presents a multidimensional comparative analysis of the exchange rates of five currencies: dollar, euro, franc, pound and ruble in zlotys and crude oil in dollars per barrel from 2005 to 2022. The research was conducted in terms of the identification of contemporary challenges for the economic security of enterprises in Poland. Grouping was used as part of multidimensional comparative analyzes. In the categorized line charts, in order to observe the trends in dynamic terms as a decrease and an increase in the rates of the analyzed data, a separate Y-axis scale was assigned to each of the analyzed dependent variables.

The article presents a multidimensional comparative analysis of the number of employees in the enterprise sector in Poland on a quarterly basis between 2010-2021 and new and withdrawn jobs dynamically in terms of economic security. The volume of employment and salary for work in Poland in the enterprise sector by type of activity was analyzed. The last stage of the research was the analysis and evaluation of the time series of salaries in Poland and its forecasting for the future.