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Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
Deep learning models have revolutionized research fields like computer vision and natural language processing by outperforming traditional models in multiple tasks. However, the field of time series analysis, especially time series forecasting, has not s...
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Ivana Toma?evic, Sandra Ðurovic, Nikola Abramovic, Lidija Weis and Viktor Koval
This paper presents the results of research conducted to identify the factors that influence the decisions of company management to outsource accounting services. A transaction cost economics (TCE) model was used to analyse factors that influence high le...
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Mikhail Vyacheslavovich Zharikov
The article is time relevant, since a number of countries, such as China and Russia, started pilot testing their digital currencies in 2020, due to the necessity of contactless means of payment during the coronavirus pandemic. The purpose of this researc...
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Kristian Bondo Hansen
Pág. Finance an - 77
In this essay, I examine and discuss the relationship between the market and the masses in light of recent retail-driven surges in the stock prices of firms like GameStop and AMC. Using two historical snapshots, I draw out similarities and differences be...
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Torsten Ullrich
The autoregressive model is a tool used in time series analysis to describe and model time series data. Its main structure is a linear equation using the previous values to compute the next time step; i.e., the short time relationship is the core compone...
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