Bitcoin's extreme price volatility presents significant challenges for investors and traders, necessitating accurate predictive models to guide decision-making in cryptocurrency markets. This study compares the performance of machine learning approaches for Bitcoin price prediction, specifically...

The prognosis of upcoming crises and the course of actually understanding them is increasingly becoming a major subject of discussions in pursuit of reliable indicators. The trade war between the United States and China, along with the COVID-19 pandemic are two events that took place in the...

The aim of the this study is to analyze the impact of the macroeconomic sphere on the dynamics of European sovereign swaps in following period 2003-2016 for seven European countries (Bulgaria, Romania, Portugal, Italy, Ireland, Greece and Spain). Eurozone membership is a variable that has a...