László Vancsura

• Economist in Finance
• Assistant research fellow at Hungarian Universitiy of Agriculture and Life Sciences

Measuring financial performance is pivotal not only for assessing a firm’s current health but also for informing strategic decisions that shape its long-term trajectory. This study investigates how macroeconomic volatility affects the firm profitability across five major sectors in Türkiye—industrial manufacturing, food, beverage and tobacco, chemi...

Accurate cryptocurrency price forecasting is crucial due to the significant financial implications of prediction errors. The volatile and non-linear nature of cryptocurrencies challenges traditional statistical methods, revealing a gap in effective predictive modelling. This study addresses this gap by examining the impact of activation functions o...

A vállalatok fenntartható működése és a pénzügyi teljesítmény összefüggéseinek vizsgálata napjainkban kiemelkedő kutatási területnek számít. Felmerül ugyanakkor a kérdés, hogy az ESG-értékelés hogyan befolyásolja a cégek gazdasági hatékonyságát. A szerzők kutatásukban a részvénypiacokra fókuszálva vizsgálták, hogy milyen kapcsolat van a top 100 ESG...

After 2010, the consumer price index fell to a low level in the EU. In the euro area, it remained low between 2010 and 2020. The European Central Bank has even had to take action against the emergence of deflation. The situation changed significantly in 2021. Inflation jumped to levels not seen for 40 years in the EU. Our study aims to use artifici...

In our paper, we investigate how effectively artificial intelligence can be used to predict stock market trends in the world’s leading equity markets over the period 01/01/2010 to 09/16/2022. Covid-19 and the Russian-Ukrainian war have had a strong impact on the capital markets and therefore the study was conducted in a highly volatile environment....

The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21- and 125-day periods. The main findings of the study a...

In this period of climate change, green finance is expected to have complex consequences to address economic and environmental risks by improving the profitability of individual activities. There are clearly identifiable areas of green development in agriculture that require such funding. Our research investigates the effectiveness of green finance...

A klímaváltozás terheivel sújtott korunkban a green finance típusú finanszírozástól komplex hatást várunk, hogy az egyes tevékenységek jövedelmezőségének javításával kezelje a gazdasági és környezeti kockázatokat. Az agráriumban jól azonosítható zöld fejlesztési pontokat találunk, melyekhez ilyen pénzügyi forrás szükséges. Kutatásunkban azt vizsgál...

The paper presents the tools for improving efficiency, from its historical beginnings to modern business intelligence systems, furthermore includes good practices and case studies that illustrate both the potential and the benefits of lean methodology. We review the main characteristics of the lean methodology and the most basic components that can...