International Journal of Academic Accounting, Finance & Management Research (IJAAFMR)
  Year: 2022 | Volume: 6 | Issue: 7 | Page No.: 68-75
Comparative Analysis of Price Dynamics for Shares of HelloFresh SE, Danone SA, Coca-Cola Co and McDonald's Download PDF
Vyacheslav Lyashenko, Olena Shapran, M. A. Kipa

Abstract:
Comparative analysis is one of the data mining methods. Such an analysis allows not only comparison between different data, but also to evaluate the dynamics of such data. Thus, there is a comparison of the dynamics of changes in various data. This is an important point in the analysis of the processes and phenomena that we study. This aspect of the analysis is of particular importance when considering economic dynamics, where it is important to know the various details of the development of the relevant processes or phenomena. Based on this, the paper considers the issues of a comparative analysis of the dynamics of prices for shares of various business entities. This direction of research was chosen because the stock market plays an important role in the development of the economy, as a separate country, and in the development of economic relations between countries. At the same time, the dynamics of prices for shares of individual companies determines the overall dynamics of the corresponding stock indices. This allows us to say that the analysis of the dynamics of stock prices is the analysis of primary data. Such an analysis allows obtaining additional information and expanding the field of research. To conduct the relevant analysis, we consider the dynamics of stock prices for HelloFresh SE, Danone SA, Coca-Cola Co and McDonald's Corporation. The paper presents the corresponding graphs of the dynamics of stock prices, which allow you to understand and consider the general trends of a certain segment of the stock market. To conduct a comparative analysis, we use the wavelet methodology. Among the various wavelet methodology approaches, we use wavelet coherence. This allows a comparative analysis of data for different time horizons. The paper shows estimates of wavelet coherence for various data that describe the dynamics of prices for the corresponding shares. Such estimates are presented in the form of graphic diagrams that help to understand the logic of the study and interpret the results. The obtained results also allow us to formulate various strategies for potential investors.