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In the age of globalization, international loans and sovereign default probabilities have become one of the main topics of finance. Many severe economic crises have occurred on financial markets in the last decades. Therefore, the problem of measuring countriesВ’ default probabilities due to their external debt obligations has attracted the interest of many researchers. In recent literature there are many studies that use quantitative methods and machine learning techniques to predict countries defaults. Past stud...

Air transport is currently one of the fastest-growing service sectors. People constantly travel for various reasons (tourism, business) to distant locations worldwide. Consequently, analyses of data concerning both passenger and cargo air traffic is of great importance in designing development strategies for regions with airports in their resources. The main purpose of this study is to prepare a forecast of air passenger transport in the one of the airport which is located in south-western of Poland. There are ver...