Research of stock indices based on adaptive wavelet analysis methodology for implementation of diagnostic methods of global oil market

Abstract

The stock market plays an important role in the development of individual segments of the economy and society as a whole. However, among the individual areas of the stock market, a special place is occupied by the global oil market. This is due to its role not only in the energy sector, but also in the chemical industry, the production of various goods, which provides significant employment and economic stability. A comprehensive study of the dynamics of stock indices is important, which allows us to assess the functioning of the oil market, the directions of its development. In this aspect, it is also necessary to properly consider the possible conditions affecting the dynamics of quotations of such indices, which can be characterized as adaptive factors. Among such factors, the time horizon of data analysis stands out. Based on this, for the purposes of the study, the feasibility of using the adaptive wavelet methodology for the implementation of diagnostic methods for the global oil market is considered.