Using the quantile regression approach to reveal the conditional relationships, the study re-examined the oil-stock co-movement in the context of oil-exporting countries in Africa. The data employed include daily OPEC basket price for crude oil and daily data on stock market indices for six major stock markets of oil-exporting economies in Africa—Egypt, Ghana, Morocco, Nigeria, South Africa, and Tunisia, from 02 January 2020 to 06 May 2021. We found that crude oil cannot act as safe haven instrument for stock markets in oil-exporting African countries. Notably, the oil-stock co-movement is consistent and more intense at the lower tails only. Investors are encouraged to employ oil as a diversification instrument rather than as a safe haven asset, based on market conditions. Regulators should devise strategies to strengthen the market for crude oil to lessen adverse volatilities during the COVID-19 pandemic by way of mitigating downward returns in African stock markets. The findings of the study offer more interesting economic insights to all classes of investors as well as policymakers in oil-exporting economies in Africa.
Citation: Emmanuel Assifuah-Nunoo, Peterson Owusu Junior, Anokye Mohammed Adam, Ahmed Bossman. Assessing the safe haven properties of oil in African stock markets amid the COVID-19 pandemic: a quantile regression analysis[J]. Quantitative Finance and Economics, 2022, 6(2): 244-269. doi: 10.3934/QFE.2022011
Using the quantile regression approach to reveal the conditional relationships, the study re-examined the oil-stock co-movement in the context of oil-exporting countries in Africa. The data employed include daily OPEC basket price for crude oil and daily data on stock market indices for six major stock markets of oil-exporting economies in Africa—Egypt, Ghana, Morocco, Nigeria, South Africa, and Tunisia, from 02 January 2020 to 06 May 2021. We found that crude oil cannot act as safe haven instrument for stock markets in oil-exporting African countries. Notably, the oil-stock co-movement is consistent and more intense at the lower tails only. Investors are encouraged to employ oil as a diversification instrument rather than as a safe haven asset, based on market conditions. Regulators should devise strategies to strengthen the market for crude oil to lessen adverse volatilities during the COVID-19 pandemic by way of mitigating downward returns in African stock markets. The findings of the study offer more interesting economic insights to all classes of investors as well as policymakers in oil-exporting economies in Africa.
| [1] |
Adam AM (2020) Susceptibility of stock market returns to international economic policy: Evidence from effective transfer entropy of Africa with the implication for open innovation. J Open Innov Technol Mark Complex 6: 71. https://doi.org/10.3390/joitmc6030071 doi: 10.3390/joitmc6030071
|
| [2] |
Agyei SK, Adam AM, Bossman A, et al. (2022a) Does volatility in cryptocurrencies drive the interconnectedness between the cryptocurrencies market? Insights from wavelets. Cogent Econ Financ 10: 1. https://doi.org/10.1080/23322039.2022.2061682 doi: 10.1080/23322039.2022.2061682
|
| [3] |
Agyei SK, Isshaq Z, Frimpong S, et al. (2021) COVID‐19 and food prices in sub‐Saharan Africa. Afr Dev Rev, 1–12. https://doi.org/10.1111/1467-8268.12525 doi: 10.1111/1467-8268.12525
|
| [4] |
Agyei SK, Owusu Junior P, Bossman A, et al. (2022b) Situated information flow between food commodity and regional equity markets: an EEMD-based transfer entropy analysis. Discrete Dyn Nat Soc 2022. https://doi.org/10.1155/2022/3938331 doi: 10.1155/2022/3938331
|
| [5] |
Antonakakis N, Chatziantoniou I, Filis G (2017) Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest. Int Rev Financ Anal 50: 1–26. https://doi.org/10.1016/j.irfa.2017.01.004 doi: 10.1016/j.irfa.2017.01.004
|
| [6] |
Antonakakis N, Gupta R, Kollias C, et al. (2017) Geopolitical risks and the oil-stock nexus over 1899–2016. Financ Res Lett 23: 165–173. https://doi.org/10.1016/j.frl.2017.07.017 doi: 10.1016/j.frl.2017.07.017
|
| [7] |
Arouri MEH, Jouini J, Nguyen DK (2012) On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness. Energ Econ 34: 611–617. https://doi.org/10.1016/j.eneco.2011.08.009 doi: 10.1016/j.eneco.2011.08.009
|
| [8] |
Arouri MEH, Rault C (2012) Oil prices and stock markets in gcc countries: Empirical evidence from panel analysis. Int J Financ Econ 17: 242–253. https://doi.org/10.1002/ijfe.443 doi: 10.1002/ijfe.443
|
| [9] |
Asafo-Adjei E, Adam AM, Darkwa P (2021a) Can crude oil price returns drive stock returns of oil producing countries in Africa? Evidence from bivariate and multiple wavelet. Macroecon Financ Emerg Mark Econ, 1–19. https://doi.org/10.1080/17520843.2021.1953864 doi: 10.1080/17520843.2021.1953864
|
| [10] |
Asafo-Adjei E, Agyapong D, Agyei SK, et al. (2020) Economic policy uncertainty and stock returns of Africa: A wavelet coherence analysis. Discrete Dyn Nat Soc 2020: 1–8. https://doi.org/10.1155/2020/8846507 doi: 10.1155/2020/8846507
|
| [11] |
Asafo-Adjei E, Owusu Junior P, Adam AM (2021b) Information flow between global equities and cryptocurrencies: A VMD-based entropy evaluating shocks from COVID-19 pandemic. Complexity 2021. https://doi.org/10.1155/2021/4753753 doi: 10.1155/2021/4753753
|
| [12] |
Badeeb RA, Lean HH (2018) Asymmetric impact of oil price on Islamic sectoral stocks. Energ Econ 71: 128–139. https://doi.org/10.1016/j.eneco.2017.11.012 doi: 10.1016/j.eneco.2017.11.012
|
| [13] |
Bahloul S, Khemakhem I (2021) Dynamic return and volatility connectedness between commodities and Islamic stock market indices. Resour Policy 71: 101993. https://doi.org/10.1016/j.resourpol.2021.101993 doi: 10.1016/j.resourpol.2021.101993
|
| [14] |
Bahloul S, Mroua M, Naifar N (2021) Are Islamic indexes, Bitcoin and gold, still "safe-haven" assets during the COVID-19 pandemic crisis? Int J Islamic Middle Eastern Financ Manage. https://doi.org/10.1108/IMEFM-06-2020-0295 doi: 10.1108/IMEFM-06-2020-0295
|
| [15] |
Balcilar M, Cerci G, Demirer R (2016) Is there a role for Islamic bonds in global diversification strategies? Managerial Financ 42: 656–679. https://doi.org/10.1108/MF-07-2015-0189 doi: 10.1108/MF-07-2015-0189
|
| [16] |
Baur DG, Lucey BM (2010) Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financ Rev 45: 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x doi: 10.1111/j.1540-6288.2010.00244.x
|
| [17] |
Baur DG, McDermott TK (2010) Is gold a safe haven? International evidence. J Bank Financ 34: 1886–1898. https://doi.org/10.1016/j.jbankfin.2009.12.008 doi: 10.1016/j.jbankfin.2009.12.008
|
| [18] |
Baur DG, McDermott TKJ (2016) Why is gold a safe haven? J Behav Expe Financ 10: 63–71. https://doi.org/10.1016/j.jbef.2016.03.002 doi: 10.1016/j.jbef.2016.03.002
|
| [19] | BBC (2020) Coronavirus: Oil price collapses to lowest level for 18 years. Retrieved July 5, 2021, Available from: https://www.bbc.com/news/business-52089127. |
| [20] |
Binder M, Coad A (2011) From average Joe's happiness to miserable Jane and cheerful John: Using quantile regressions to analyze the full subjective well-being distribution. J Econ Behav Organ 79: 275–290. https://doi.org/10.1016/j.jebo.2011.02.005 doi: 10.1016/j.jebo.2011.02.005
|
| [21] |
Boateng E, Adam AM, Owusu Junior P (2021) Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic. Resour Policy 74: 102389. https://doi.org/10.1016/j.resourpol.2021.102389 doi: 10.1016/j.resourpol.2021.102389
|
| [22] |
Bossman A (2021) Information flow from COVID-19 pandemic to Islamic and conventional equities: An ICEEMDAN-induced transfer entropy analysis. Complexity 2021: 1–20. https://doi.org/10.1155/2021/4917051 doi: 10.1155/2021/4917051
|
| [23] |
Bossman A, Agyei SK, Owusu Junior P, et al. (2022a) Flights-to-and-from-quality with Islamic and conventional bonds in the COVID-19 pandemic era: ICEEMDAN-based transfer entropy. Complexity 2022: 1–25. https://doi.org/10.1155/2022/1027495 doi: 10.1155/2022/1027495
|
| [24] |
Bossman A, Owusu Junior P, Tiwari AK (2022b) Dynamic connectedness and spillovers between Islamic and conventional stock markets: time- and frequency-domain approach in COVID-19 era. Heliyon 8: e09215. https://doi.org/10.1016/j.heliyon.2022.e09215 doi: 10.1016/j.heliyon.2022.e09215
|
| [25] |
Bouoiyour J, Selmi R, Wohar ME (2019) Safe havens in the face of Presidential election uncertainty: A comparison between Bitcoin, oil and precious metals. Appl Econ 1–13. https://doi.org/10.1080/00036846.2019.1645289 doi: 10.1080/00036846.2019.1645289
|
| [26] |
Bouri E, Molnár P, Azzi G, et al. (2017) On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier? Financ Res Lett 20: 192–198. https://doi.org/10.1016/j.frl.2016.09.025 doi: 10.1016/j.frl.2016.09.025
|
| [27] |
Bouri E, Shahzad SJH, Roubaud D, et al. (2020) Bitcoin, gold, and commodities as safe havens for stocks: New insight through wavelet analysis. Q Rev Econ Financ 77: 156–164. https://doi.org/10.1016/j.qref.2020.03.004 doi: 10.1016/j.qref.2020.03.004
|
| [28] |
Chang BH, Sharif A, Aman A, et al. (2020) The asymmetric effects of oil price on sectoral Islamic stocks: New evidence from quantile-on-quantile regression approach. Resour Policy 65: 101571. https://doi.org/10.1016/j.resourpol.2019.101571 doi: 10.1016/j.resourpol.2019.101571
|
| [29] |
Diaz EM, Perez de Gracia F (2017) Oil price shocks and stock returns of oil and gas corporations. Financ Res Lett 20: 75–80. https://doi.org/10.1016/j.frl.2016.09.010 doi: 10.1016/j.frl.2016.09.010
|
| [30] |
Dickey DA, Fuller WA (1981) Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica 49: 1057. https://doi.org/10.2307/1912517 doi: 10.2307/1912517
|
| [31] |
Enwereuzoh PA, Odei-Mensah J, Owusu Junior P (2021) Crude oil shocks and African stock markets. Res Int Bus Financ 55: 101346. https://doi.org/10.1016/j.ribaf.2020.101346 doi: 10.1016/j.ribaf.2020.101346
|
| [32] | Fama EF (1970) Efficient Capital Markets: A Review of the Theory. J Financ 25: 383–417. |
| [33] | Fama EF (2021) Efficient capital markets: A review of theory and empirical work, In: J. H. Cochrane & T. J. Moskowitz (Eds.), The Fama Portfolio, Chicago: University of Chicago Press, 76–121. Available from: https://doi.org/10.7208/9780226426983-007. |
| [34] |
Fatum R, Yamamoto Y (2016) Intra-safe haven currency behavior during the global financial crisis. J Int Money Financ 66: 49–64. https://doi.org/10.1016/j.jimonfin.2015.12.007 doi: 10.1016/j.jimonfin.2015.12.007
|
| [35] |
Gao X, Ren Y, Umar M (2021) To what extent does COVID-19 drive stock market volatility? A comparison between the U.S. and China. Econ Res-Ekonomska Istraživanja, 1–21. https://doi.org/10.1080/1331677x.2021.1906730 doi: 10.1080/1331677x.2021.1906730
|
| [36] |
Goodell JW (2020) COVID-19 and finance: Agendas for future research. Financ Res Lett 35: 101512. https://doi.org/10.1016/j.frl.2020.101512 doi: 10.1016/j.frl.2020.101512
|
| [37] |
Gorton G, Lewellen S, Metrick A (2012) The safe-asset share. Am Econ Rev 102: 101–106. https://doi.org/10.1257/aer.102.3.101 doi: 10.1257/aer.102.3.101
|
| [38] |
Gourène GAZ, Mendy P (2018) Oil prices and African stock markets co-movement: A time and frequency analysis. J Afr Trade 5: 55. https://doi.org/10.1016/j.joat.2018.03.002 doi: 10.1016/j.joat.2018.03.002
|
| [39] |
Grisse C, Nitschka T (2013) On financial risk and the safe haven characteristics of Swiss franc exchange rates. J Empir Financ 32: 153–164. https://doi.org/10.1016/j.jempfin.2015.03.006 doi: 10.1016/j.jempfin.2015.03.006
|
| [40] |
Hashmi SM, Chang BH, Rong L (2021) Asymmetric effect of COVID-19 pandemic on E7 stock indices: Evidence from quantile-on-quantile regression approach. Res Int Bus Financ 58: 101485. https://doi.org/10.1016/j.ribaf.2021.101485 doi: 10.1016/j.ribaf.2021.101485
|
| [41] |
Ijasan K, Owusu Junior P, Tweneboah G, et al. (2021) Analysing the relationship between global REITs and exchange rates: Fresh evidence from frequency-based quantile regressions. Adv Decis Sci 25: 58–91. https://doi.org/10.47654/v25y2021i3p58-91 doi: 10.47654/v25y2021i3p58-91
|
| [42] |
Ijasan K, Tweneboah G, Omane-Adjepong M, et al (2019) On the global integration of REITs market returns: A multiresolution analysis. Cogent Econ Financ 7: 1690211. https://doi.org/10.1080/23322039.2019.1690211 doi: 10.1080/23322039.2019.1690211
|
| [43] |
Jena SK, Tiwari AK, Hammoudeh S, et al. (2019) Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests. Energ Econ 78: 615–628. https://doi.org/10.1016/j.eneco.2018.11.013 doi: 10.1016/j.eneco.2018.11.013
|
| [44] |
Ji Q, Zhang D, Zhao Y (2020) Searching for safe-haven assets during the COVID-19 pandemic. Int Rev Financ Anal 71: 101526. https://doi.org/10.1016/j.irfa.2020.101526 doi: 10.1016/j.irfa.2020.101526
|
| [45] |
Jouini J (2013) Stock markets in GCC countries and global factors: A further investigation. Econ Model 31: 80–86. https://doi.org/10.1016/j.econmod.2012.11.039 doi: 10.1016/j.econmod.2012.11.039
|
| [46] |
Kang W, Perez de Gracia F, Ratti RA (2017) Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations. J Int Money Financ 70: 344–359. https://doi.org/10.1016/j.jimonfin.2016.10.003 doi: 10.1016/j.jimonfin.2016.10.003
|
| [47] |
Kassouri Y, Altıntaş H (2020) Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira. Res Int Bus Financ 52: 101097. https://doi.org/10.1016/J.RIBAF.2019.101097 doi: 10.1016/J.RIBAF.2019.101097
|
| [48] |
Kassouri Y, Altıntaş H (2021) The quantile dependence of the stock returns of clean" and "dirty" firms on oil demand and supply shocks. J Commodity Mark, 100238. https://doi.org/10.1016/J.JCOMM.2021.100238 doi: 10.1016/J.JCOMM.2021.100238
|
| [49] |
Kassouri Y, Altıntaş H, Bilgili F (2020) An investigation of the financial resource curse hypothesis in oil-exporting countries: The threshold effect of democratic accountability. J Multinational Financ Manage 56: 100639. https://doi.org/10.1016/J.MULFIN.2020.100639 doi: 10.1016/J.MULFIN.2020.100639
|
| [50] |
Kelikume I, Muritala O (2019) The impact of changes in oil price on stock market: Evidence from Africa. Int J Manage. Econ Soc Sci 8: 169–194. https://doi.org/10.32327/ijmess/8.3.2019.11 doi: 10.32327/ijmess/8.3.2019.11
|
| [51] |
Kilian L (2008) Exogenous oil supply shocks: How big are they and how much do they matter for the U.S. economy? Rev Econ Stat 90: 216–240. https://doi.org/10.1162/rest.90.2.216 doi: 10.1162/rest.90.2.216
|
| [52] |
Koenker R, Bassett G (1978) Regression quantiles. Econometrica 46: 33. https://doi.org/10.2307/1913643 doi: 10.2307/1913643
|
| [53] |
Liu C, Naeem MA, Rehman MU, et al. (2020) Oil as hedge, safe-haven, and diversifier for conventional currencies. Energies 13: 1–19. https://doi.org/10.3390/en13174354 doi: 10.3390/en13174354
|
| [54] |
Lo AW (2004) The adaptive markets hypothesis. J Portf Manage 30: 15–29. https://doi.org/10.3905/jpm.2004.442611 doi: 10.3905/jpm.2004.442611
|
| [55] | Mensi W, Hammoudeh S, Reboredo JC, et al. (2014) Do global factors impact BRICS stock markets? A quantile regression approach (No. 159). https://doi.org/10.1016/j.ememar.2014.04.002 |
| [56] |
Mensi W, Nekhili R, Vo XV, et al. (2021) Oil and precious metals: Volatility transmission, hedging, and safe haven analysis from the Asian crisis to the COVID-19 crisis. Econ Anal Policy 71: 73–96. https://doi.org/10.1016/j.eap.2021.04.009 doi: 10.1016/j.eap.2021.04.009
|
| [57] |
Mohanty SK, Nandha M, Turkistani AQ, et al. (2011) Oil price movements and stock market returns: Evidence from Gulf Cooperation Council (GCC) countries. Glo Financ J 22: 42–55. https://doi.org/10.1016/j.gfj.2011.05.004 doi: 10.1016/j.gfj.2011.05.004
|
| [58] | Mosteller Frederick, Tukey JW (1977) Data analysis and regression: A second course in statistics, In: Addison-Wesley series in behavioral science, Boston: Addison-Wesley Publishing Company. |
| [59] |
Müller UA, Dacorogna MM, Davé RD, et al. (1997) Volatilities of different time resolutions—analyzing the dynamics of market components. J Empir Financ 4: 213–239. https://doi.org/10.1016/S0927-5398(97)00007-8 doi: 10.1016/S0927-5398(97)00007-8
|
| [60] |
Musialkowska I, Kliber A, Świerczyńska K, et al. (2020) Looking for a safe-haven in a crisis-driven Venezuela: The Caracas stock exchange vs gold, oil and bitcoin. Transforming Govern People Process Policy 14: 475–494. https://doi.org/10.1108/TG-01-2020-0009 doi: 10.1108/TG-01-2020-0009
|
| [61] |
Naifar N (2016) Do global risk factors and macroeconomic conditions affect global Islamic index dynamics? A quantile regression approach. Q Rev Econ Financ 61: 29–39. https://doi.org/10.1016/j.qref.2015.10.004 doi: 10.1016/j.qref.2015.10.004
|
| [62] |
Narayan PK, Gong Q, Ali Ahmed HJ (2021) Is there a pattern in how COVID-19 has affected Australia's stock returns? Appl Econ Lett 29: 179–182. https://doi.org/10.1080/13504851.2020.1861190 doi: 10.1080/13504851.2020.1861190
|
| [63] |
Nusair SA (2016) The effects of oil price shocks on the economies of the Gulf Co-operation Council countries: Nonlinear analysis. Energ Policy 91: 256–267. https://doi.org/10.1016/j.enpol.2016.01.013 doi: 10.1016/j.enpol.2016.01.013
|
| [64] |
Nusair SA, Al-Khasawneh JA (2018) Oil price shocks and stock market returns of the GCC countries: empirical evidence from quantile regression analysis. Econ Change Restructuring 51: 339–372. https://doi.org/10.1007/s10644-017-9207-4 doi: 10.1007/s10644-017-9207-4
|
| [65] | OECD (2020) Global financial markets policy responses to COVID-19. Retrieved July 5, 2021. Available from: https://www.oecd.org/coronavirus/policy-responses/global-financial-markets-policy-responses-to-covid-19-2d98c7e0/. |
| [66] |
Owusu Junior P, Adam AM, Tweneboah G (2020a) Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressions. Cogent Econ Financ 8: 1804037. https://doi.org/10.1080/23322039.2020.1804037 doi: 10.1080/23322039.2020.1804037
|
| [67] |
Owusu Junior P, Tiwari AK, Padhan H, et al. (2020b) Analysis of EEMD-based quantile-in-quantile approach on spot- futures prices of energy and precious metals in India. Resour Policy 68: 101731. https://doi.org/10.1016/j.resourpol.2020.101731 doi: 10.1016/j.resourpol.2020.101731
|
| [68] |
Owusu Junior P, Tweneboah G (2020) Are there asymmetric linkages between African stocks and exchange rates? Res Int Bus Financ 54. https://doi.org/10.1016/j.ribaf.2020.101245 doi: 10.1016/j.ribaf.2020.101245
|
| [69] |
Phillips PCB, Perron P (1988) Testing for a unit root in time series regression. Biometrika 75: 335–346. https://doi.org/10.1093/biomet/75.2.335 doi: 10.1093/biomet/75.2.335
|
| [70] |
Selmi R, Mensi W, Hammoudeh S, et al. (2018) Is Bitcoin a hedge, a safe haven or a diversifier for oil price movements? A comparison with gold. Energ Econ 74: 787–801. https://doi.org/10.1016/j.eneco.2018.07.007 doi: 10.1016/j.eneco.2018.07.007
|
| [71] |
Shahzad SJH, Bouri E, Roubaud D, et al. (2020) Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin. Econ Mod 87: 212–224. https://doi.org/10.1016/j.econmod.2019.07.023 doi: 10.1016/j.econmod.2019.07.023
|
| [72] |
Siahaan GED, Robiyanto R (2021) Bond as a safe haven during market crash: Examination of COVID-19 pandemic in ASEAN-5. J Manage Entr 23: 1–9. https://doi.org/10.9744/jmk.23.1.1-9 doi: 10.9744/jmk.23.1.1-9
|
| [73] |
Smyth R, Narayan PK (2018) What do we know about oil prices and stock returns? Int Rev Financ Anal 57: 148–156. https://doi.org/10.1016/j.irfa.2018.03.010 doi: 10.1016/j.irfa.2018.03.010
|
| [74] |
Tavor T, Teitler-Regev S (2019) The impact of disasters and terrorism on the stock market. Jàmbá J Disaster Risk Stud 11. https://doi.org/10.4102/jamba.v11i1.534 doi: 10.4102/jamba.v11i1.534
|
| [75] | Tweneboah G, Owusu Junior P, Oseifuah EK (2019) Integration of major African stock markets: Evidence from multi-scale wavelets correlation. Aca Acc Financ Std J 23: 1–15. |
| [76] |
Tzeremes P (2021) Oil volatility index and Chinese stock markets during financial crisis: a time-varying perspective. J Chinese Econ Frgn Trd Std 14: 187–201. https://doi.org/10.1108/JCEFTS-08-2020-0051 doi: 10.1108/JCEFTS-08-2020-0051
|
| [77] |
Urquhart A, Zhang H (2019) Is Bitcoin a hedge or safe haven for currencies? An intraday analysis. Inl Rev of Financ Anal 63: 49–57. https://doi.org/10.1016/j.irfa.2019.02.009 doi: 10.1016/j.irfa.2019.02.009
|
| [78] |
Wu W, Lee CC, Xing W, et al. (2021) The impact of the COVID-19 outbreak on Chinese-listed tourism stocks. Financ Innov 7. https://doi.org/10.1186/s40854-021-00240-6 doi: 10.1186/s40854-021-00240-6
|
| [79] |
You W, Guo Y, Zhu HM, et al. (2017) Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression. Energ Econ 68: 1–18. https://doi.org/10.1016/j.eneco.2017.09.007 doi: 10.1016/j.eneco.2017.09.007
|
| [80] |
Kösedağlı BY, Kışla GH, Çatık AN (2021) The time-varying effects of oil prices on oil–gas stock returns of the fragile five countries. Financ Innov 7: 1–22. https://doi.org/10.1186/s40854-020-00224-y doi: 10.1186/s40854-020-00224-y
|
| [81] |
Zhu HM, Guo Y, You W, et al. (2016) The heterogeneity dependence between crude oil price changes and industry stock market returns in China: Evidence from a quantile regression approach. Energ Econ 55: 30–41. https://doi.org/10.1016/j.eneco.2015.12.027eco.2015.12.027 doi: 10.1016/j.eneco.2015.12.027eco.2015.12.027
|
Figures(4) / Tables(7)
Emmanuel Assifuah-Nunoo, Peterson Owusu Junior, Anokye Mohammed Adam, Ahmed Bossman. Assessing the safe haven properties of oil in African stock markets amid the COVID-19 pandemic: a quantile regression analysis[J]. Quantitative Finance and Economics, 2022, 6(2): 244-269. doi: 10.3934/QFE.2022011
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