Journal of Security and Sustainability Issues

The study attempts to forecast the total costs of a company in Poland. The first stage of the research was analyzing and evaluating the time series of total costs. It detected: trends, seasonality and a random factor. This became a premise for the application of two methods for forecasting: Holt-Winters’ multiplicative and additive. The research shows that the Holt-Winters’ multiplicative model proved to be better in forecasting total costs in the research subject. The forecasted total costs from July to December 2022 will reach PLN 45 395 685, while from January to December 2023, their value will amount to PLN 85 948 927.

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 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.

The article presents a multidimensional comparative analysis of apartment prices in seventeen cities in Poland from the first quarter of 2017 to the first quarter of 2021 in terms of the maintenance of economic security. Prices were analyzed in two aspects: value and dynamics of changes, referring to the first period under consideration in spatial terms (in each of the seventeen cities). The research used multidimensional comparative analyzes, such as: Chernoff faces and normalization with the use of stimulants. This, in turn, made it possible to examine the similarities and differences in the prices of 1 m2 of residential real estate in respective cities in Poland in a dynamic approach.

Economic security of any state is multifaceted. Affordability of basics, required for living serves are precondition for economic security of any state. The study presents a multidimensional comparative analysis of apartment sales in respective voivodships in Poland. The following dependent variables concerning apartments in sixteen voivodships were analyzed: price per \( m^2 \), number of sales and its value. The dynamics indices on a constant basis and the normalization for stimulants were used for the analyzes. The results of the research were compiled on categorized bar charts, conducting the ranking, as well as indicating and outlining the level of deviation of the analyzed data adopted by the author. The conducted research clearly showed how much of an impact on the state’s economy, with particular emphasis on the subject of research presented in the article, which is the apartment trade market, has a random incident, such as a pandemic, and how difficult it is to return to the conditions before Covid-19.