This paper investigates the degree of persistence in the financial markets' data during different days of the week over the last twenty years. This allows taking a brand new look on the day-of-the-week effect and providing additional evidence against the efficient market hypothesis. The variety of the financial markets includes developed and emerging stock markets, FOREX, commodity and cryptocurrency markets. To measure the level of persistence the R/S analysis is used. The findings indicate that the level of persistence is different for different days of the week. This is inconsistent with the Efficient Market Hypothesis: data do not follow a random walk; and there can be indirect evidence in favor of the day-of-the-week effect. Conclusions on non-randomness of the data are important, because they allow choosing the best model to describe price dynamics so that to increase the predictive power of the existing models. Differences in the long-memory properties of the market data during different days of the week is an important finding that can lead to better understanding of the behavior of financial markets. High level of persistence implies data predictability, and therefore suggests that trend following technics can be applied to make profits from trading.
Our study is one of the first examples of multidimensional and longitudinal disciplinary analysis at the national level based on Crossref data. We present a large-scale quantitative analysis of Ukrainian economic research. This study is not yet another example of research aimed at ranking of local journals, authors or institutions, but rather exploring general tendencies that can be compared to other countries or regions. We study different aspects of Ukrainian economic research output. In particular, the collaborative nature, geographic landscape and some peculiarities of citation statistics are investigated. We have found that Ukrainian economic research is characterized by a comparably small share of co-authored publications, however, it demonstrates the tendency towards more collaborative output. Based on our analysis, we discuss specific and universal features of Ukrainian economic research. The importance of supporting various initiatives aimed at enriching open scholarly metadata is considered. A comprehensive and high-quality meta description of publications is probably the shortest path to a better understanding of national trends, especially for non-English speaking countries. The results of our analysis can be used to better understand Ukrainian economic research and support research policy decisions.
The paper explains the necessity and determines the conceptual frameworks and organizational economic mechanisms of forming the system of specialized innovative investment banks in Ukraine, investigates the present state of banks' specialization in the sphere of investment securing the innovative development.Keywords: innovative development, investment securing, specialized banks, bank for reconstruction and development, state innovative investment bank. JEL Classification: G21.
The article deals with the process of distribution of an innovative product using the Bass model. Numerical characteristics of the generalized Bass model are described. The function of external influence is suggested to be approximated by means of a regression equation with respect to the price function of the product under investigation, which is also a control function. The control process is based on a mathematical apparatus under the Pontryagin maximum principle. An algorithm for determining the optimal price of products in order to obtain the maximum balance profit of the corporation is given. Selected numerical results of the corporate strategy implementation for conquering the market in 2017-2020 are offered.
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