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Strategy Of Stock Valuation By Fundamental Analysis

Author

Listed:
  • Baresa, Suzana

    (Faculty of Tourism and Hospitality Management Opatija)

  • Bogdan , Sinisa

    (Faculty of Tourism and Hospitality Management Opatija)

  • Ivanovic, Zoran

    (Faculty of Tourism and Hospitality Management Opatija)

Abstract

Common stock valuation presents one of the most complex tasks in financial analysis. When it attempts to answer on question: „what causes stock price movements? “Then the answer would not relate only on economic factors. There are numerous factors that affect the stock price and they are almost impossible to predict. As one of the best ways to fight against many factors that make the uncertainty, arises fundamental analysis. Fundamental analysis is one of the most widely used methods for estimating price movements of securities which essentially analyses the impact of micro and macro-economic factors on the business of the corporation in order to predict future economic and financial effects. Fundamental analysis also examine various financial statements with the aim to asses a real value of company's stock. This work has the task to systematize knowledge about fundamental analysis, so it can serve as a good base for future research.

Suggested Citation

  • Baresa, Suzana & Bogdan , Sinisa & Ivanovic, Zoran, 2013. "Strategy Of Stock Valuation By Fundamental Analysis," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 4(1), pages 45-51.
    • Handle: RePEc:ris:utmsje:0066
    as

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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ivanovski Zoran & Narasanov Zoran & Ivanovska Nadica, 2018. "Performance Evaluation of Stocks’ Valuation Models at MSE," Economic and Regional Studies / Studia Ekonomiczne i Regionalne, Sciendo, vol. 11(2), pages 7-23, June.
    2. Süreyya Özöğür Akyüz & Pınar Karadayı Ataş & Aymane Benkhaldoun, 2024. "Predicting stock market by sentiment analysis and deep learning," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(2), pages 85-107.
    3. Heon Baek, 2024. "A CNN-LSTM Stock Prediction Model Based on Genetic Algorithm Optimization," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(2), pages 205-220, June.
    4. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    5. Kamphol Panyagometh, 2017. "Implementation of Reinganum's Investment Strategy in Long Term Equity Fund in the Stock Exchange of Thailand," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 492-499.
    6. Shubham Ekapure & Nuruddin Jiruwala & Sohan Patnaik & Indranil SenGupta, 2021. "A data-science-driven short-term analysis of Amazon, Apple, Google, and Microsoft stocks," Papers 2107.14695, arXiv.org.

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    More about this item

    Keywords

    fundamental analysis; financial indicators; intrinsic value; discount models; stocks;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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