IDEAS home Printed from https://ideas.repec.org/a/trp/01jefa/jefa0055.html
   My bibliography  Save this article

The COVID-19 Crisis and Interaction between the JSE, Real Estate, Energy, Commodity and Cryptocurrency Markets

Author

Listed:
  • Damilola ABOLUWODI
  • Bomi NOMLALA
  • Paul-Francois MUZINDUTSI

    (University of KwaZulu-Natal
    University of KwaZulu-Natal
    University of KwaZulu-Natal)

Abstract

This paper examines the long-run interactions between South African stock (JSE) and real estate markets, with global asset markets such as oil, gold, platinum, and cryptocurrency markets during pre-Covid-19 tranquil period and during Covid-19 pandemic period comparatively using cointegration, causality and structural break tests. Findings of the paper shed light on the fact that cointegrations relationships between Bitcoin - JSE, Oil - JSE, and Real Estate – JSE were significant during pre-Covid period, while these significances weakened or disappeared during Covid period. On the other hand, cointegration relations show up between Oil – Platinum market and Gold – Real Estate market. It implies that JSE became volatile during Covid period comparing to Oil, Platinum, Gold markets in South Africa.

Suggested Citation

  • Damilola ABOLUWODI & Bomi NOMLALA & Paul-Francois MUZINDUTSI, 2022. "The COVID-19 Crisis and Interaction between the JSE, Real Estate, Energy, Commodity and Cryptocurrency Markets," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 6(1), pages 55-76.
    • Handle: RePEc:trp:01jefa:jefa0055
    DOI: 10.1991/jefa.v6i1.a51
    as

    Download full text from publisher

    File URL: http://ojs.tripaledu.com/index.php/jefa/article/download/73/84
    Download Restriction: no
    File URL: https://libkey.io/10.1991/jefa.v6i1.a51?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
    ---><---

    References listed on IDEAS

    as
    1. Nazlioglu, Saban & Gormus, N. Alper & Soytas, Uğur, 2016. "Oil prices and real estate investment trusts (REITs): Gradual-shift causality and volatility transmission analysis," Energy Economics, Elsevier, vol. 60(C), pages 168-175.
    2. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
    3. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    4. Imran Yousaf & Shoaib Ali, 2020. "Integration between real estate and stock markets: new evidence from Pakistan," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 13(5), pages 887-900, April.
    5. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 687-707, April.
    6. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    7. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    8. Jiang, Yonghong & Jiang, Cheng & Nie, He & Mo, Bin, 2019. "The time-varying linkages between global oil market and China's commodity sectors: Evidence from DCC-GJR-GARCH analyses," Energy, Elsevier, vol. 166(C), pages 577-586.
    9. Mensi, Walid & Sensoy, Ahmet & Aslan, Aylin & Kang, Sang Hoon, 2019. "High-frequency asymmetric volatility connectedness between Bitcoin and major precious metals markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    10. Tursoy, Turgut & Faisal, Faisal, 2018. "The impact of gold and crude oil prices on stock market in Turkey: Empirical evidences from ARDL bounds test and combined cointegration," Resources Policy, Elsevier, vol. 55(C), pages 49-54.
    11. Yin, Libo & Nie, Jing & Han, Liyan, 2021. "Understanding cryptocurrency volatility: The role of oil market shocks," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 233-253.
    12. Wang, Hao & Wang, Xiaoqian & Yin, Siyuan & Ji, Hao, 2022. "The asymmetric contagion effect between stock market and cryptocurrency market," Finance Research Letters, Elsevier, vol. 46(PA).
    13. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    14. Uddin, Gazi Salah & Hernandez, Jose Arreola & Shahzad, Syed Jawad Hussain & Kang, Sang Hoon, 2020. "Characteristics of spillovers between the US stock market and precious metals and oil," Resources Policy, Elsevier, vol. 66(C).
    15. Gil-Alana, Luis Alberiko & Abakah, Emmanuel Joel Aikins & Rojo, María Fátima Romero, 2020. "Cryptocurrencies and stock market indices. Are they related?," Research in International Business and Finance, Elsevier, vol. 51(C).
    16. Okorie, David Iheke & Lin, Boqiang, 2020. "Crude oil price and cryptocurrencies: Evidence of volatility connectedness and hedging strategy," Energy Economics, Elsevier, vol. 87(C).
    17. Sadeq J. Abul, 2019. "The Dynamic Relationship Between Stock and Real Estate Prices in Kuwait," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(5), pages 1-30, May.
    18. Ji, Qiang & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav, 2019. "Information interdependence among energy, cryptocurrency and major commodity markets," Energy Economics, Elsevier, vol. 81(C), pages 1042-1055.
    19. Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020. "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 71(C).
    20. Lahiani, Amine & Mefteh-Wali, Salma & Vasbieva, Dinara G., 2021. "The safe-haven property of precious metal commodities in the COVID-19 era," Resources Policy, Elsevier, vol. 74(C).
    21. K. W. Chau & Gaolu Zou, 2018. "Energy Prices, Real Estate Sales and Industrial Output in China," Energies, MDPI, vol. 11(7), pages 1-15, July.
    22. Ghosh, Sajal & Kanjilal, Kakali, 2016. "Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests," Energy Economics, Elsevier, vol. 53(C), pages 111-117.
    23. Mei-Se, Chien & Shu-Jung, Chang Lee & Chien-Chiang, Lee, 2018. "Time-varying co-movement of the prices of three metals and oil: Evidence from recursive cointegration," Resources Policy, Elsevier, vol. 57(C), pages 186-195.
    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. Duan, Kun & Zhao, Yanqi & Urquhart, Andrew & Huang, Yingying, 2023. "Do clean and dirty cryptocurrencies connect with financial assets differently? The role of economic policy uncertainty," Energy Economics, Elsevier, vol. 127(PA).
    2. Farid, Saqib & Kayani, Ghulam Mujtaba & Naeem, Muhammad Abubakr & Shahzad, Syed Jawad Hussain, 2021. "Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 72(C).
    3. Mighri, Zouheir & Ragoubi, Hanen & Sarwar, Suleman & Wang, Yihan, 2022. "Quantile Granger causality between US stock market indices and precious metal prices," Resources Policy, Elsevier, vol. 76(C).
    4. Piñeiro-Chousa, Juan & López-Cabarcos, M. Ángeles & Sevic, Aleksandar & González-López, Isaac, 2022. "A preliminary assessment of the performance of DeFi cryptocurrencies in relation to other financial assets, volatility, and user-generated content," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    6. Li, Zhenghui & Mo, Bin & Nie, He, 2023. "Time and frequency dynamic connectedness between cryptocurrencies and financial assets in China," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 46-57.
    7. Gormus, Alper & Nazlioglu, Saban & Soytas, Ugur, 2018. "High-yield bond and energy markets," Energy Economics, Elsevier, vol. 69(C), pages 101-110.
    8. Tarlok Singh, 2016. "On the sectoral linkages and pattern of economic growth in India," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 21(2), pages 257-275, April.
    9. Yousaf, Imran & Beljid, Makram & Chaibi, Anis & Ajlouni, Ahmed AL, 2022. "Do volatility spillover and hedging among GCC stock markets and global factors vary from normal to turbulent periods? Evidence from the global financial crisis and Covid-19 pandemic crisis," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    10. Ahmed, Walid M.A., 2021. "Stock market reactions to upside and downside volatility of Bitcoin: A quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    11. Musah, Mohammed & Onifade, Stephen Taiwo & Ankrah, Isaac & Gyamfi, Bright Akwasi & Amoako, George Kofi, 2024. "Achieving net-zero emission target in Africa: Are sustainable energy innovations and financialization crucial for environmental sustainability of sub-Saharan African state?," Applied Energy, Elsevier, vol. 364(C).
    12. Holmes, Mark J., 2011. "Threshold cointegration and the short-run dynamics of twin deficit behaviour," Research in Economics, Elsevier, vol. 65(3), pages 271-277, September.
    13. Hernán Enríquez Sierra & Jacobo Campo Robledo & Antonio Avendaño Arosemena, 2015. "Relaciones regionales en los precios de vivienda nueva en Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 25-47, June.
    14. Elgammal, Mohammed M. & Ahmed, Walid M.A. & Alshami, Abdullah, 2021. "Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    15. Hasan, Mohammad Maruf & Du, Fang, 2023. "The role of foreign trade and technology innovation on economic recovery in China: The mediating role of natural resources development," Resources Policy, Elsevier, vol. 80(C).
    16. Md Shahiduzzaman & Allan Layton & Khorshed Alam, 2015. "On the contribution of information and communication technology to productivity growth in Australia," Economic Change and Restructuring, Springer, vol. 48(3), pages 281-304, November.
    17. Stavros Stavroyiannis, 2022. "Cointegration and ARDL specification between the Dubai crude oil and the US natural gas market," Papers 2206.03278, arXiv.org.
    18. Mensi, Walid & Ali, Syed Riaz Mahmood & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Multiscale dependence, spillovers, and connectedness between precious metals and currency markets: A hedge and safe-haven analysis," Resources Policy, Elsevier, vol. 77(C).
    19. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Jamiu Adetola Odugbesan & Gbenga Daniel Akinsola & Wing-Keung Wong & Husam Rjoub, 2021. "Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    20. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).

    More about this item

    Keywords

    COVID-19 Crisis; South African Markets; Commodities; Cryptocurrency; Cointegration.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G1 - Financial Economics - - General Financial Markets
    • 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
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

    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:trp:01jefa:jefa0055. 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: David Simon Hall (email available below). General contact details of provider: .

    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.