IDEAS home Printed from https://ideas.repec.org/a/gam/jjrfmx/v16y2023i7p319-d1185764.html
   My bibliography  Save this article

Dependence Structure and Time–Frequency Impact of Exchange Rates on Crude Oil and Stock Markets of BRICS Countries: Markov-Switching-Based Wavelet Analysis

Author

Listed:
  • Benjamin Mudiangombe Mudiangombe

    (School of Economics, University of Johannesburg, Auckland Park, Cnr Kingsway and University Roads, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa)

  • John Weirstrass Muteba Mwamba

    (School of Economics, University of Johannesburg, Auckland Park, Cnr Kingsway and University Roads, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa)

Abstract

This paper used the Markov-switching (MS)-based wavelet analysis technique to study the dependence structure and the time–frequency impact of exchange rates on crude oil prices (West Texas Intermediate (WTI)) and stock returns. Daily data from 1 January 2005 to 1 March 2020 were collected for exchange rates, crude oil prices, and the BRICS stock market returns. The findings indicate that crude oil prices display higher volatility compared to stock returns and exchange rates. Furthermore, the wavelet analysis reveals consistent changes in the co-movement patterns of both volatility regimes, albeit with some variations in the time periods and frequency domains. The time–frequency dependence between Brazilian, Indian, and Chinese stock markets and crude oil is significantly influenced by exchange rates, which play a pivotal role in their co-movement in the medium term. The findings reveal that these three countries share economic interests, have strong economic ties and interdependencies, and may be motivated to cooperate during crisis periods. However, when it comes to Russia and South Africa (SA), exchange rates do not exhibit a long-term impact on the co-movement in time–frequency. Therefore, we recommend investors to look for investment opportunities that are less correlated with the co-moving markets.

Suggested Citation

  • Benjamin Mudiangombe Mudiangombe & John Weirstrass Muteba Mwamba, 2023. "Dependence Structure and Time–Frequency Impact of Exchange Rates on Crude Oil and Stock Markets of BRICS Countries: Markov-Switching-Based Wavelet Analysis," JRFM, MDPI, vol. 16(7), pages 1-29, July.
  • Handle: RePEc:gam:jjrfmx:v:16:y:2023:i:7:p:319-:d:1185764
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1911-8074/16/7/319/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1911-8074/16/7/319/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin, Ling & Zhou, Zhongbao & Jiang, Yong & Ou, Yangchen, 2021. "Risk spillovers and hedge strategies between global crude oil markets and stock markets: Do regime switching processes combining long memory and asymmetry matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    2. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2012. "Oil prices, exchange rates and emerging stock markets," Energy Economics, Elsevier, vol. 34(1), pages 227-240.
    3. Laeven, Luc & Ratnovski, Lev & Tong, Hui, 2016. "Bank size, capital, and systemic risk: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 25-34.
    4. Amano, R. A. & van Norden, S., 1998. "Oil prices and the rise and fall of the US real exchange rate," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 299-316, April.
    5. Roubaud, David & Arouri, Mohamed, 2018. "Oil prices, exchange rates and stock markets under uncertainty and regime-switching," Finance Research Letters, Elsevier, vol. 27(C), pages 28-33.
    6. Ji, Qiang & Liu, Bing-Yue & Zhao, Wan-Li & Fan, Ying, 2020. "Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS," International Review of Financial Analysis, Elsevier, vol. 68(C).
    7. Roubaud, David & Arouri, Mohamed, 2018. "Oil prices, exchange rates and stock markets under uncertainty and regime-switching," Finance Research Letters, Elsevier, vol. 27(C), pages 28-33.
    8. Zhang, Hui Jun & Dufour, Jean-Marie & Galbraith, John W., 2016. "Exchange rates and commodity prices: Measuring causality at multiple horizons," Journal of Empirical Finance, Elsevier, vol. 36(C), pages 100-120.
    9. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    Full references (including those not matched with items on IDEAS)

    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. Kumeka, Terver Theophilus & Uzoma-Nwosu, Damian Chidozie & David-Wayas, Maria Onyinye, 2022. "The effects of COVID-19 on the interrelationship among oil prices, stock prices and exchange rates in selected oil exporting economies," Resources Policy, Elsevier, vol. 77(C).
    2. Youssef, Manel & Mokni, Khaled, 2020. "Modeling the relationship between oil and USD exchange rates: Evidence from a regime-switching-quantile regression approach," Journal of Multinational Financial Management, Elsevier, vol. 55(C).
    3. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    4. Mollick, André Varella & Sakaki, Hamid, 2019. "Exchange rates, oil prices and world stock returns," Resources Policy, Elsevier, vol. 61(C), pages 585-602.
    5. Chen, Lin & Wen, Fenghua & Li, Wanyang & Yin, Hua & Zhao, Lili, 2022. "Extreme risk spillover of the oil, exchange rate to Chinese stock market: Evidence from implied volatility indexes," Energy Economics, Elsevier, vol. 107(C).
    6. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    7. Shaobo Long & Mengxue Zhang & Keaobo Li & Shuyu Wu, 2021. "Do the RMB exchange rate and global commodity prices have asymmetric or symmetric effects on China’s stock prices?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-21, December.
    8. Boubaker, Heni & Larbi, Ons Ben, 2022. "Dynamic dependence and hedging strategies in BRICS stock markets with oil during crises," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 263-279.
    9. Claudiu T Albulescu & Michel Mina & Cornel Oros, 2021. "Oil-US Stock Market Nexus: Some insights about the New Coronavirus Crisis," Economics Bulletin, AccessEcon, vol. 41(2), pages 588-593.
    10. Maghyereh, Aktham & Abdoh, Hussein, 2021. "The impact of extreme structural oil-price shocks on clean energy and oil stocks," Energy, Elsevier, vol. 225(C).
    11. Aviral Kumar Tiwari & Muhammad Tahir Suleman & Subhan Ullah & Muhammad Shahbaz, 2023. "Analyzing the connectedness between crude oil and petroleum products: Evidence from USA," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2278-2347, July.
    12. Mensi, Walid & Reboredo, Juan C. & Ugolini, Andrea, 2021. "Price-switching spillovers between gold, oil, and stock markets: Evidence from the USA and China during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 73(C).
    13. Mensi, Walid & Rehman, Mobeen Ur & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh, 2023. "Frequency dependence between oil futures and international stock markets and the role of gold, bonds, and uncertainty indices: Evidence from partial and multivariate wavelet approaches," Resources Policy, Elsevier, vol. 80(C).
    14. Salisu, Afees A. & Swaray, Raymond & Oloko, Tirimisiyu F., 2019. "Improving the predictability of the oil–US stock nexus: The role of macroeconomic variables," Economic Modelling, Elsevier, vol. 76(C), pages 153-171.
    15. Ghaemi Asl, Mahdi & Adekoya, Oluwasegun Babatunde & Rashidi, Muhammad Mahdi & Ghasemi Doudkanlou, Mohammad & Dolatabadi, Ali, 2022. "Forecast of Bayesian-based dynamic connectedness between oil market and Islamic stock indices of Islamic oil-exporting countries: Application of the cascade-forward backpropagation network," Resources Policy, Elsevier, vol. 77(C).
    16. Tian, Meiyu & Li, Wanyang & Wen, Fenghua, 2021. "The dynamic impact of oil price shocks on the stock market and the USD/RMB exchange rate: Evidence from implied volatility indices," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    17. Aviral Kumar Tiwari & Samia Nasreen & Subhan Ullah & Muhammad Shahbaz, 2021. "Analysing spillover between returns and volatility series of oil across major stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2458-2490, April.
    18. Hashmi, Shabir Mohsin & Chang, Bisharat Hussain & Huang, Liangfang & Uche, Emmanuel, 2022. "Revisiting the relationship between oil prices, exchange rate, and stock prices: An application of quantile ARDL model," Resources Policy, Elsevier, vol. 75(C).
    19. Ali, Syed Riaz Mahmood & Mensi, Walid & Anik, Kaysul Islam & Rahman, Mishkatur & Kang, Sang Hoon, 2022. "The impacts of COVID-19 crisis on spillovers between the oil and stock markets: Evidence from the largest oil importers and exporters," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 345-372.
    20. Bedoui, Rihab & Braiek, Sana & Guesmi, Khaled & Chevallier, Julien, 2019. "On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model," Energy Economics, Elsevier, vol. 80(C), pages 876-889.

    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:gam:jjrfmx:v:16:y:2023:i:7:p:319-:d:1185764. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.