Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Łukasz Bielak"'
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3371 (2022)
Multivariate modelling of economics data is crucial for risk and profit analyses in companies. However, for the final conclusions, a whole set of variables is usually transformed into a single variable describing a total profit/balance of company’s
Externí odkaz:
https://doaj.org/article/13d1529dcdad4dfe947e6e94f9fab92d
Autor:
Łukasz Bielak, Piotr Muryjas
Publikováno v:
Journal of Computer Sciences Institute, Vol 1, Iss 1 (2016)
Celem niniejszego artykułu jest przedstawienie możliwości integracji Business Intelligence(BI) i Big Data (BD). Na podstawie studiów literaturowych określono potencjalne korzyści i wady płynące z takiego rozwiązania. Ponadto, wymienione zost
Externí odkaz:
https://doaj.org/article/dd4ee653a8ed4c16bab40420ae444b80
Averaged-Calibration-Length Prediction for Currency Exchange Rates by a Time-Dependent Vasicek Model
Publikováno v:
Theoretical Economics Letters. 10:579-599
The mining business is extremely sensitive to market factors in price behavior. One of the main risk factors in the KGHM, one of the biggest mining companies in the world, is the currency exchange rates prices. Thus, one of the main problems from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c76ca8881509d0439f7b3411a713214
https://doi.org/10.4236/tel.2020.103037
https://doi.org/10.4236/tel.2020.103037
Publikováno v:
Applied Condition Monitoring ISBN: 9783030821913
Regime-switching models have been recently becoming increasingly important as they allow structural changes to be taken into account in modelling financial data. Application of such models to describe prices behaviour is especially valuable in commod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66e99465c85f5680da681dcbc864b71a
https://doi.org/10.1007/978-3-030-82110-4_6
https://doi.org/10.1007/978-3-030-82110-4_6
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 523:1202-1215
To properly manage market risk industrial companies use tools based on value-at-risk, which requires proper modeling of future risk factors dynamics. One of the major challenges faced by this technique applied to modeling currency exchange rates is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a5a619b3cd682718d7dcafe75e2c8e9
https://doi.org/10.1016/j.physa.2019.04.098
https://doi.org/10.1016/j.physa.2019.04.098
Mining companies to properly manage their operations and be ready to make business decisions, are required to analyze potential scenarios for main market risk factors. The most important risk factors for KGHM, one of the biggest companies active in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89118166e9508ba936e778fa030742d
Publikováno v:
Mining Goes Digital ISBN: 9780429320774
Mining Goes Digital
Mining Goes Digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d35ac6948f96772b3ad47f4e5e117c34
https://doi.org/10.1201/9780429320774-5
https://doi.org/10.1201/9780429320774-5
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 555:124659
Stochastic models traditionally used to describe metals’ prices have proved not to be suitable to represent the dynamic behavior and time-related nature of metal markets. Rates of return are characterized by non-Gaussian and heterogeneous character
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5749425009c3764a4fd6263376ba6e4d
https://doi.org/10.1016/j.physa.2020.124659
https://doi.org/10.1016/j.physa.2020.124659
Publikováno v:
Education Sciences, Vol 10, Iss 8, p 197 (2020)
The article elaborates upon a successful model of postgraduate studies on lean manufacturing. The subject of the research was nine editions of the Kaizen Academy postgraduate studies organized by the Warsaw University of Technology and the Kaizen Ins
Externí odkaz:
https://doaj.org/article/b0a3c77bff724abab846a43433a58db9