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Predicting Stock Indices Trends using Neuro-fuzzy Systems in COVID-19

Author

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  • Muhammad Zubair Mumtaz

    (School of Social Sciences and Humanities, National University of Sciences and Technology, Islamabad, Pakistan)

Abstract

No abstract is available for this item.

Suggested Citation

  • Muhammad Zubair Mumtaz, 2021. "Predicting Stock Indices Trends using Neuro-fuzzy Systems in COVID-19," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 26(2), pages 1-18, July-Dec.
    • Handle: RePEc:lje:journl:v:26:y:2021:i:2:p:1-18
    as

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    File URL: https://lahoreschoolofeconomics.edu.pk/assets/uploads/lje/Volume26/Muhammad_Zubair_Mumtaz.pdf
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    References listed on IDEAS

    as
    1. Chin-Shien Lin & Haider Ali Khan & Chi-Chung Huang, 2002. "Can the neuro fuzzy model predict stock indexes better than its rivals?," CIRJE F-Series CIRJE-F-165, CIRJE, Faculty of Economics, University of Tokyo.
    2. Ly, Kim Tien, 2021. "A COVID-19 forecasting system using adaptive neuro-fuzzy inference," Finance Research Letters, Elsevier, vol. 41(C).
    3. George S. Atsalakis & Eftychios E. Protopapadakis & Kimon P. Valavanis, 2016. "Stock trend forecasting in turbulent market periods using neuro-fuzzy systems," Operational Research, Springer, vol. 16(2), pages 245-269, July.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Stock market index; COVID-19; Neuro-fuzzy; forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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