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

Author

Listed:
  • Eryka Probierz
  • Adam Galuszka
  • Tomasz Grzejszczak
  • Karol Jedrasiak
  • Tomasz Wisniewski
  • Tomasz Dzida

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.

Suggested Citation

  • Eryka Probierz & Adam Galuszka & Tomasz Grzejszczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2022. "Overview of Financial Applications for Investing on the Stock Exchange - Regression Models and Sentiment Analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 395-408.
    • Handle: RePEc:ers:journl:v:xxv:y:2022:i:1:p:395-408
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    References listed on IDEAS

    as
    1. Karjaluoto, Heikki & Shaikh, Aijaz A. & Saarijärvi, Hannu & Saraniemi, Saila, 2019. "How perceived value drives the use of mobile financial services apps," International Journal of Information Management, Elsevier, vol. 47(C), pages 252-261.
    2. Declan French & Donal McKillop & Elaine Stewart, 2020. "The effectiveness of smartphone apps in improving financial capability," The European Journal of Finance, Taylor & Francis Journals, vol. 26(4-5), pages 302-318, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Financial Applications; sentiment analysis; stock market; artificial intelligence; application quality; regression models.;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets

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