Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vasily Derbentsev"'
Publikováno v:
Науковий вісник Мукачівського державного університету. Серія Економіка, Vol 8, Iss 4, Pp 53-59 (2021)
One of the problems of studying economic cycles, namely long-term ones, is the choice of an adequate method that allows identifying and explaining the nature of the economic cycle according to available statistical data, which subsequently becomes th
Externí odkaz:
https://doaj.org/article/14debb1ccfa448a2a2633ccef4a1e8b3
Publikováno v:
Statistika: Statistics and Economy Journal, Vol 101, Iss 4, Pp 383-405 (2021)
The main purpose of this paper is to identify the impact of public spending on education and research and development (R&D) on the formation of gross domestic product (GDP) in nine Central European countries, which are divided into two clusters – "
Externí odkaz:
https://doaj.org/article/11286b79a73c4489a57a5993b53ccb2a
Publikováno v:
Науковий вісник Мукачівського державного університету. Серія Економіка, Vol 7, Iss 2, Pp 75-86 (2020)
This paper investigates the issues of short-term forecasting of exchange rates using deep learning models, which is relevant for both the academia and traders and investors. The purpose of this study is to build a model to forecast the direction of c
Externí odkaz:
https://doaj.org/article/29ccc3cadfaf4adf849d73a8947b09c2
Publikováno v:
Scientific Bulletin of Mukachevo State University Series “Economics”. 7:75-86
This study investigates the issues of forecasting changes in short-term currency trends using deep learning models, which is relevant for both the scientific community and for traders and investors. The purpose of this study is to build a model for f
Publikováno v:
Neuro-Fuzzy Modeling Techniques in Economics. :95-137
Autor:
Vasily Derbentsev, Vitalii Bezkorovainyi, Andriy Matviychuk, Oksana Pomazun, Andrii Hrabariev, Alexey Hostryk
Publikováno v:
Proceedings of 10th International Conference on Monitoring, Modeling & Management of Emergent Economy.
Publikováno v:
SHS Web of Conferences, Vol 107, p 06006 (2021)
In the article considered the issues of constructing a classic SWOT analysis matrix, forming a list of key factors of the external and internal environment to assess the degree of their impact on the activities of real enterprises of Ukraine, improvi
Publikováno v:
2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T).
This paper is devoted to the problems of the short-term forecasting cryptocurrencies time series using machine learning approach. We applied two the most powerful ensembles methods: Random Forests (RF) and Gradient Boosting Machine (GBM). For testing
Autor:
Vladimir N. Soloviev, Victoria Solovieva, Serhiy O. Semerikov, Olexander Serdyuk, Vasily Derbentsev
Publikováno v:
E3S Web of Conferences, Vol 166, p 13031 (2020)
The work is devoted to a comparative analysis complexity of traditional stock market indices and social responsible indices in the example Dow Jones Sustainability Indices and Dow Jones Industrial Average. As measures of complexity, the entropies of
Publikováno v:
Advanced Studies of Financial Technologies and Cryptocurrency Markets ISBN: 9789811544972
Our study is devoted to the problems of the short-term forecasting cryptocurrency time series using machine learning (ML) approach. Focus on studying of the financial time series allows to analyze the methodological principles, including the advantag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f827f88ac9b8df68974925fee0cdcb50
https://doi.org/10.1007/978-981-15-4498-9_12
https://doi.org/10.1007/978-981-15-4498-9_12