Assessment of market reaction on the share performance on the basis of its visualization in 2D space. Issue 2 (4th March 2017)

• Record Type: Journal Article
• Authors: Vaiciulyte, Ingrida; Kalsyte, Zivile; Sakalauskas, Leonidas; Plikynas, Darius
• Is Part Of: Journal of business economics and management. Volume 18:Issue 2(2017)
• Page Start: 309
• Page End: 318
• Publication Date: 2017-03-04
• Subjects: skew t distribution -- maximum likelihood method -- random forests -- forecasting -- rating -- management -- assessment; C610 -- G17; Managerial economics -- Periodicals; Industrial management -- Periodicals; Industrial management; Managerial economics; Periodicals; 338.5024658
• DOI: 10.3846/16111699.2017.1285348
• Languages: English
• ISSNs: 2029-4433

Abstract

Abstract: This paper provides a new methodology for company assessment besides other traditional assessment measures such as share price or forecasts of the analysts. It is suggested to assess the market reaction on change in share price via using graphical approaches. Investors buy shares with the expectation that its price will rise in the future. But sometimes expectations don't coincide with reality and then shares are sold. This work has been taken into account in the asymmetry between expectations of investors and results. In order to identify the position of a company in 2D space, the paper uses classification algorithm of random forests with data on change in share price during the period of the year in the inputs, and the forecasts of analysts, i.e., whether a price will increase or decrease, for the same year in the outputs. Thus, two clusters of companies are seeking to represent: one of the companies whose changes in share price coincide with investors' expectations, and another one – on the contrary. This method can be useful to investors, for whom it is important to identify the market reaction about companies from the whole industry or its branches and analyze its trend.