IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v202y2026ip2s0960077925015255.html

Dynamic co-movement of stock market and risk management by hedging strategies in diverse portfolios: A wavelet-multivariate GARCH

Author

Listed:
  • Waris, Muhammad
  • Younis, Ijaz
  • Naveed, Rana Tahir
  • Shahid, Muhammad Sadiq
  • Abbas, Muhammad

Abstract

The financial events occurrence including the crisis and pandemics increased the panic in the global financial markets. Investors are in trouble for investment due to the cointegration pattern between the global markets in the period of these events. Investors belongs to different regions want to minimize their risk at given expected return. Some previous research provides the solution of the investors troubles by investigating different factors that affect the investment risk and return in the portfolio. This study provides a wide range of investment strategy that is helpful for the investors to minimize the portfolio risk by taking the cointegration or co-movement pattern in mind while preparing the effective portfolio.

Suggested Citation

  • Waris, Muhammad & Younis, Ijaz & Naveed, Rana Tahir & Shahid, Muhammad Sadiq & Abbas, Muhammad, 2026. "Dynamic co-movement of stock market and risk management by hedging strategies in diverse portfolios: A wavelet-multivariate GARCH," Chaos, Solitons & Fractals, Elsevier, vol. 202(P2).
  • Handle: RePEc:eee:chsofr:v:202:y:2026:i:p2:s0960077925015255
    DOI: 10.1016/j.chaos.2025.117512
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077925015255
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2025.117512?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    2. Zhang, Yi & Zhou, Long & Liu, Zhidong & Wu, Baoxiu, 2025. "Spillover of fear among the US and BRICS equity markets during the COVID-19 crisis and the Russo-Ukrainian conflict," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
    3. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    4. Yiming, Wang & Xun, Liu & Umair, Muhammad & Aizhan, Assilova, 2024. "COVID-19 and the transformation of emerging economies: Financialization, green bonds, and stock market volatility," Resources Policy, Elsevier, vol. 92(C).
    5. Belanes, Amel & Saâdaoui, Foued & Abedin, Mohammad Zoynul, 2024. "Potential diversification benefits: A comparative study of Islamic and conventional stock market indexes," Research in International Business and Finance, Elsevier, vol. 67(PA).
    6. Sarika Keswani & Veerma Puri & Rimjhim Jha, 2024. "Relationship among macroeconomic factors and stock prices: cointegration approach from the Indian stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 12(1), pages 2355017-235, December.
    7. Li, Guangchen & Shen, Z.Y. & Song, Malin & Wei, Weixian, 2024. "Exploring the interconnectedness of China's new energy and stock markets: A study on volatility spillovers and dynamic correlations," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 471-484.
    8. Charfeddine, Lanouar & Benlagha, Noureddine & Maouchi, Youcef, 2020. "Investigating the dynamic relationship between cryptocurrencies and conventional assets: Implications for financial investors," Economic Modelling, Elsevier, vol. 85(C), pages 198-217.
    9. Levy, Haim & Sarnat, Marshall, 1970. "International Diversification of Investment Portfolios," American Economic Review, American Economic Association, vol. 60(4), pages 668-675, September.
    10. Sophocles P. Ioulianou & Michael J. Leiblein & Lenos Trigeorgis, 2021. "Multinationality, portfolio diversification, and asymmetric MNE performance: The moderating role of real options awareness," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(3), pages 388-408, April.
    11. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Gabauer, David, 2019. "Cryptocurrency market contagion: Market uncertainty, market complexity, and dynamic portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 37-51.
    12. Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
    13. Anas Eisa Abdelkreem Mohammed & Henry Mwambi & Bernard Omolo, 2024. "Time-Varying Correlations between JSE.JO Stock Market and Its Partners Using Symmetric and Asymmetric Dynamic Conditional Correlation Models," Stats, MDPI, vol. 7(3), pages 1-16, July.
    14. Karolyi, G. Andrew & Stulz, Rene M., 2003. "Are financial assets priced locally or globally?," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 16, pages 975-1020, Elsevier.
    15. Bao Trung Hoang & Cesario Mateus, 2024. "How does liberalization affect emerging stock markets? Theories and empirical evidence," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 877-898, July.
    16. Weidong Lin & Jose Olmo & Abderrahim Taamouti, 2025. "Portfolio Selection under Systemic Risk," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 57(4), pages 905-949, June.
    17. Yadong Luo, 2024. "Paradigm shift and theoretical implications for the era of global disorder," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 55(2), pages 127-135, March.
    18. Muhammad Ramzan & Mohammad Razib Hossain & Kashif Raza Abbasi & Tomiwa Sunday Adebayo & Rafael Alvarado, 2024. "Unveiling time-varying asymmetries in the stock market returns through energy prices, green innovation, and market risk factors: wavelet-based evidence from China," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-36, June.
    19. Wang, Yi & Ali, Shoaib & Ayaz, Muhammad, 2024. "Equity markets and ESG dynamics: Assessing spillovers and portfolio strategies through time-varying parameters," Energy Economics, Elsevier, vol. 134(C).
    20. Kilian, Lutz, 2024. "How to construct monthly VAR proxies based on daily surprises in futures markets," Journal of Economic Dynamics and Control, Elsevier, vol. 168(C).
    21. Muhammad Wajid Raza & Bahrawar Said & Ijaz Hassan, 2024. "A Low-Risk vs. Market-Based Portfolio in Equity Market: Evidence from Global Financial Crisis and Global Pandemic Crisis in Pakistan," Audit and Accounting Review, University of Management and Technology, Lahore, Pakistan, vol. 4(2), pages 60-90.
    22. Elton, Edwin J & Gruber, Martin J, 1973. "Estimating the Dependence Structure of Share Prices-Implications for Portfolio Selection," Journal of Finance, American Finance Association, vol. 28(5), pages 1203-1232, December.
    23. Marco Morales, 2024. "Lag order selection for long-run variance estimation in econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 43(10), pages 774-795, November.
    24. Sijie Li & Wenjing Guo & Min Zhu, 2025. "Research on dynamic behavior hedging of corn price risk based on the LA-DCC-GARCH model under COVID-19," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(01), pages 1-20, March.
    25. Mazur, Mieszko & Dang, Man & Vega, Miguel, 2021. "COVID-19 and the march 2020 stock market crash. Evidence from S&P1500," Finance Research Letters, Elsevier, vol. 38(C).
    26. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Remy Jonkam Oben & Shikha Daga & Aliya Zhakanova, 2026. "Multidimensional market connectedness amid escalating trade tensions: largest US and Chinese Tech equities, DeFi, and ESG," Future Business Journal, Springer, vol. 12(1), pages 1-25, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kumar, Ashish & Iqbal, Najaf & Mitra, Subrata Kumar & Kristoufek, Ladislav & Bouri, Elie, 2022. "Connectedness among major cryptocurrencies in standard times and during the COVID-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    2. Walid Mensi & Anoop S. Kumar & Hee-Un Ko & Sang Hoon Kang, 2024. "Intraday spillovers in high-order moments among main cryptocurrency markets: the role of uncertainty indexes," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(2), pages 507-538, June.
    3. Uddin, Gazi Salah & Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2018. "Time-varying evidence of efficiency, decoupling, and diversification of conventional and Islamic stocks," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 167-180.
    4. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Charfeddine, Lanouar & Benlagha, Noureddine & Khediri, Karim Ben, 2022. "An intra-cryptocurrency analysis of volatility connectedness and its determinants: Evidence from mining coins, non-mining coins and tokens," Research in International Business and Finance, Elsevier, vol. 62(C).
    6. Farman Ullah Khan & Faridoon Khan & Parvez Ahmed Shaikh, 2023. "Forecasting returns volatility of cryptocurrency by applying various deep learning algorithms," Future Business Journal, Springer, vol. 9(1), pages 1-11, December.
    7. Umar, Zaghum & Jareño, Francisco & González, María de la O, 2021. "The impact of COVID-19-related media coverage on the return and volatility connectedness of cryptocurrencies and fiat currencies," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    8. Wu, Kai & Zhu, Jingran & Xu, Mingli & Yang, Lu, 2020. "Can crude oil drive the co-movement in the international stock market? Evidence from partial wavelet coherence analysis," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    9. Yousaf, Imran & Jareño, Francisco & Tolentino, Marta, 2023. "Connectedness between Defi assets and equity markets during COVID-19: A sector analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    10. Giofré, Maela, 2014. "Domestic investor protection and foreign portfolio investment," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 355-371.
    11. Nicolas Coeurdacier & Hélène Rey, 2013. "Home Bias in Open Economy Financial Macroeconomics," Journal of Economic Literature, American Economic Association, vol. 51(1), pages 63-115, March.
    12. Sercan Demiralay & Selçuk Bayracı, 2021. "Should stock investors include cryptocurrencies in their portfolios after all? Evidence from a conditional diversification benefits measure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6188-6204, October.
    13. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    14. Wang, Xuetong & Fang, Fang & Ma, Shiqun & Xiang, Lijin & Xiao, Zumian, 2024. "Dynamic volatility spillover among cryptocurrencies and energy markets: An empirical analysis based on a multilevel complex network," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    15. Fang Cai & Francis E. Warnock, 2004. "International diversification at home and abroad," International Finance Discussion Papers 793, Board of Governors of the Federal Reserve System (U.S.).
    16. repec:spo:wpecon:info:hdl:2441/c8dmi8nm4pdjkuc9g81p7j6b6 is not listed on IDEAS
    17. Ha, Le Thanh & Nham, Nguyen Thi Hong, 2022. "An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    18. Fung, Kennard & Jeong, Jiin & Pereira, Javier, 2022. "More to cryptos than bitcoin: A GARCH modelling of heterogeneous cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PA).
    19. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    20. S. G. M. Fifield & D. M. Power & C. D. Sinclair, 2002. "Emerging stock markets: a more realistic assessment of the gains from diversification," Applied Financial Economics, Taylor & Francis Journals, vol. 12(3), pages 213-229.
    21. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "Volatility spillovers and other dynamics between cryptocurrencies and the energy and bond markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 92(C), pages 1-13.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • N20 - Economic History - - Financial Markets and Institutions - - - General, International, or Comparative

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:chsofr:v:202:y:2026:i:p2:s0960077925015255. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.