Overview of Financial Applications for Investing on the Stock Exchange - Regression Models and Sentiment Analysis

Eryka Probierz, Adam Galuszka, Tomasz Grzejszczak, Karol Jedrasiak, Tomasz Wisniewski and Tomasz Dzida

European Research Studies Journal, 2022, vol. XXV, issue 1, 395-408

Abstract: Purpose: The aim of the review is to analyze the available investment applications that can be downloaded by Google or Apple in terms of available functionality. Design/methodology/approach: Correlation and regression analyses were carried out on the obtained data. Next, aspects of the application that most often appear in reviews were distinguished and sentiment analysis was carried out. Findings: The results obtained indicate an extremely important share of the specified functionalities of the application in its global evaluation, and allow for the presentation of specified aspects both in terms of sentiment and evaluation of the application. Practical Implications: The results of the study could be useful for developers and consumers of financial applications. For the first, the analyses carried out can point to directions of development that are particularly relevant. For the recipients, it is important to indicate the wide range of possibilities offered by the applications. Originality/Value: The obtained results indicate the importance of analyzing individual application functionalities in order to understand the complexity of the problem of application evaluation in popular websites.

Keywords: Financial Applications; sentiment analysis; stock market; artificial intelligence; application quality; regression models. (search for similar items in EconPapers)
JEL-codes: D12 D47 D53 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ers:journl:v:xxv:y:2022:i:1:p:395-408

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