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Time-Frequency Co-Movement Between Covid-19 And Pakistan’S Stock Market: Empirical Evidence From Wavelet Coherence Analysis

Author

Listed:
  • SHOAIB ALI

    (Department of Graduate Studies, Air University, Pakistan)

  • MUHAMMAD NAVEED

    (University of South Asia, Pakistan)

  • AISHA SALEEM

    (Lyallpur Business School (Finance Division), GC University, Faisalabad, Pakistan)

  • MUHAMMAD WAJAHAT NASIR

    (Air University, Islamabad, Pakistan)

Abstract

Purpose: This paper aims to analyze the impact of COVID-19 on Pakistan’s traditional (KSE-100) and Islamic (KMI-30) stock market returns.Methodology: This study uses daily data of total cases and deaths of COVID-19 from February 25, 2020 to May 26, 2021. We utilize continuous wavelet transform (CWT), partial wavelet transforms and wavelet coherence transform (WCT) approaches to inspect the impact of COVID-19 on the stock return of KSE-100 and KMI-30 from March 13, 2020 to May 26, 2021.Findings: Contrary to European and several Asian stock markets, these both indexes behave the opposite during COVID-19. This study indicates that COVID-19 influences both these indexes and has a significant impact on both KSE-100 and KMI-30 index in the longer time frame. This study also discloses that with the increasing number of total cases, total death stock market daily return.Practical implications: Investors diversify their portfolio in the desire to achieve maximum return on minimum risk so they diversify across different countries and certain emerging market indexes might provide them a big edge to maximize their return. This diversified strategy can financially support different well-performing emerging markets and save emerging economies. This study enhances the investors trust and confidence to invest in both KSE-100 and KMI-30 due to favorable return of stocks.Originality/value: This examines the co-movement between COVID-19 and the traditional and Islamic stock index of Pakistan whereas, the previous paper only examined the volatility of these indexes during COVID-19. This study also extends the literature that examines how COVID-19 affected the traditional and Islamic stock market indexes.

Suggested Citation

  • Shoaib Ali & Muhammad Naveed & Aisha Saleem & Muhammad Wajahat Nasir, 2022. "Time-Frequency Co-Movement Between Covid-19 And Pakistan’S Stock Market: Empirical Evidence From Wavelet Coherence Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1-17, December.
  • Handle: RePEc:wsi:afexxx:v:17:y:2022:i:04:n:s2010495222500269
    DOI: 10.1142/S2010495222500269
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    Cited by:

    1. Xiuqun Chen & Shun-Chi Yu & Xuemei Sun & Dan Wang, 2023. "Investigating the Influence of Brand Communication and Brand Trust on Customer Commitment: An Examination from the Perspective of Customer Perception," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 166-195, June.

    More about this item

    Keywords

    COVID-19; Pakistan stock market; wavelet analysis;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices

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