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FINANCIAL ECONOMICS

Safe haven, hedge and diversification for African stocks: cryptocurrencies versus gold in time-frequency perspective

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Article: 2114171 | Received 28 Jul 2021, Accepted 12 Aug 2022, Published online: 29 Aug 2022

References

  • Abakah, E. J. A, Gil-Alana, L. A, Madigu, G, & Romero-Rojo, F. (2020). Volatility persistence in cryptocurrency markets under structural breaks. International Review of Economics & Finance, 69, 680–22. https://doi.org/10.1016/j.iref.2020.06.035
  • Anyikwa, I, & Le Roux, P. (2020). Integration of African stock markets with the developed stock markets: An analysis of co-movements, volatility and contagion. International Economic Journal, 34(2), 279–296. https://doi.org/10.1080/10168737.2020.1755715
  • Asafo-Adjei, E, Adam, A. M, & Darkwa, P. (2021). Can crude oil price returns drive stock returns of oil producing countries in Africa? Evidence from bivariate and multiple wavelet. Macroeconomics and Finance in Emerging Market Economies, 1–19. https://doi.org/10.1080/17520843.2021.1953864
  • Asafo-Adjei, E, Agyapong, D, Agyei, S. K, Frimpong, S, Djimatey, R, & Adam, A. M. (2020). Economic policy uncertainty and stock returns of Africa: A wavelet coherence analysis. Discrete Dynamics in Nature and Society, 2020. https://doi.org/10.1155/2020/8846507
  • Asafo-Adjei, E., Boateng, E., Isshaq, Z., Idun, A. A. A., Owusu Junior, P., & Adam, A. M. (2021). Financial sector and economic growth amid external uncertainty shocks: Insights into emerging economies. Plos one, 16(11), e0259303.
  • Asafo-Adjei, E., Owusu Junior, P., & Adam, A. M. (2021). Information flow between global equities and cryptocurrencies: A VMD-based entropy evaluating shocks from COVID-19 pandemic. Complexity, 2021.
  • Ashraf, B. N. (2020). Stock markets’ reaction to COVID-19: Cases or fatalities? Research in International Business and Finance, 54, 101249. https://doi.org/10.1016/j.ribaf.2020.101249
  • Bannigidadmath, D., & Narayan, P. K. (2016). Stock return predictability and determinants of predictability and profits. Emerging Markets Review, 26, 153–173. https://doi.org/10.1016/j.ememar.2015.12.003
  • Baur, D. G, & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229. https://doi.org/10.1111/j.1540-6288.2010.00244.x
  • Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886–1898. https://doi.org/10.1016/j.jbankfin.2009.12.008
  • Baur, D. G., McDermott, T. K. . (2016). Why is gold a safe haven? Journal of Behavioral and Experimental Finance, 10, 63–71. https://doi.org/10.1016/j.jbef.2016.03.002.
  • Beckmann, J, & Czudaj, R. (2013). Gold as an inflation hedge in a time-varying coefficient framework. The North American Journal of Economics and Finance, 24, 208–222. https://doi.org/10.1016/j.najef.2012.10.007
  • Bloomfield, D. S., McAteer, R. J., Lites, B. W., Judge, P. G., Mathioudakis, M., & Keenan, F. P. (2004). Wavelet phase coherence analysis: Application to a quiet-sun magnetic element. The Astrophysical Journal, 617(1), 623. https://doi.org/10.1086/425300
  • Boateng, E., Adam, A. M., & Junior, P. O. (2021). Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic. Resources Policy, 74, 102389. https://doi.org/10.1016/j.resourpol.2021.102389
  • Boateng, E., Asafo-Adjei, E., Addison, A., Quaicoe, S., Yusuf, M. A., Adam, A. M., & Adam, A. M. (2022). Interconnectedness among commodities, the real sector of Ghana and external shocks. Resources Policy, 75, 102511. https://doi.org/10.1016/j.resourpol.2021.102511
  • Bohte, R., & Rossini, L. (2019). Comparing the forecasting of cryptocurrencies by Bayesian time-varying volatility models. Journal of Risk and Financial Management, 12(3), 150. https://doi.org/10.3390/jrfm12030150
  • Borri, N. (2019). Conditional tail-risk in cryptocurrency markets. Journal of Empirical Finance, 50, 1–19. https://doi.org/10.1016/j.jempfin.2018.11.002
  • Bouri, E., Gupta, R., Tiwari, A., & Roubaud, D. (2017). Does bitcoin hedge global uncertainty? evidence from wavelet-based quantile-in-quantile regressions. Finance Research Letters, 000( Article in Press), 1–9.
  • Bouri, E., Jalkh, N., Molnãąr, P., & Roubaud, D. (2017). Bitcoin for energy commodities before and after the December 2013 crash: Diversifier, hedge or safe haven? Applied Economics, 49(50), 5063–5073.
  • Brauneis, A., & Mestel, R. (2018). Price discovery of cryptocurrencies: Bitcoin and beyond. Economics Letters, 165, 58–61. https://doi.org/10.1016/j.econlet.2018.02.001
  • Cebrián-Hernández, Á., & Jiménez-Rodríguez, E. (2021). Modeling of the bitcoin volatility through key financial environment variables: An application of conditional correlation mgarch models. Mathematics, 9(3), 267. https://doi.org/10.3390/math9030267
  • Cheikh, N. B, Zaied, Y. B, & Chevallier, J. (2020). Asymmetric volatility in cryptocurrency markets: New evidence from smooth transition GARCH models. Finance Research Letters, 35, 101293. https://doi.org/10.1016/j.frl.2019.09.008
  • CoinMarketCap, 2021 Available online 4 May 2021 https://coinmarketcap.com
  • Conlon, T., & McGee, R. (2020). Safe haven or risky hazard? Bitcoin during the COVID-19 bear market. Finance Research Letters, 35, 101607. https://doi.org/10.1016/j.frl.2020.101607
  • Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34. https://doi.org/10.1016/j.econlet.2018.01.004
  • Das, D., & Kannadhasan, M. (2018). Do global factors impact bitcoin prices? Evidence from wavelet approach. Journal of Economic Research, 23, 227–264.
  • Demir, E, Bilgin, M. H, Karabulut, G, & Doker, A. C. (2020). The relationship between cryptocurrencies and COVID-19 pandemic. Eurasian Economic Review, 10(3), 349–360. https://doi.org/10.1007/s40822-020-00154-1
  • Durcheva, M., & Tsankov, P. (2019, November). Analysis of similarities between stock and cryptocurrency series by using graphs and spanning trees. In AIP conference proceedings (Vol. 2172, No. 1, p. 090004). AIP Publishing LLC.
  • Dyhrberg, A. H. (2016a). Bitcoin, gold and the dollar–A GARCH volatility analysis. Finance Research Letters, 16, 85–92. https://doi.org/10.1016/j.frl.2015.10.008
  • Dyhrberg, A. H. (2016b). Hedging capabilities of bitcoin. Is it the virtual gold? Finance Research Letters, 16, 139–144. https://doi.org/10.1016/j.frl.2015.10.025
  • Enilov, M., Fazio, G., & Ghoshray, A. (2021). Global connectivity between commodity prices and national stock markets: A time‐varying MIDAS analysis. International Journal of Finance & Economics, 1–13. https://doi.org/10.1002/ijfe.2552
  • Feng W, Wang Y and Zhang Z. (2018). Can cryptocurrencies be a safe haven: a tail risk perspective analysis. Applied Economics, 50(44), 4745–4762. https://doi.org/10.1080/00036846.2018.1466993
  • Gajardo, G, Kristjanpoller, W. D, & Minutolo, M. (2018). Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, great british pound and yen? Chaos, Solitons, and Fractals, 109, 195–205. https://doi.org/10.1016/j.chaos.2018.02.029
  • Gouhier, T. C, Grinsted, A, Simko, V, Gouhier, M. T. C, & Rcpp, L. (2013). Package ‘biwavelet’. Spectrum, 24, 2093–2102. https://github.com/tgouhier/biwavelet
  • Grinsted, A., Moore, J. C., & Jevrejeva, S. (2004). Application of the cross wavelet transform and wavelet coherence to geophysical time series. Nonlinear Processes in Geophysics, 11(5/6), 561–566. https://doi.org/10.5194/npg-11-561-2004
  • Handika, R, Soepriyanto, G, & Havidz, S. A. H. (2019). Are cryptocurrencies contagious to Asian financial markets? Research in International Business and Finance, 50, 416–429. https://doi.org/10.1016/j.ribaf.2019.06.007
  • Hemche, O, Jawadi, F, Maliki, S. B, & Cheffou, A. I. (2016). On the study of contagion in the context of the subprime crisis: A dynamic conditional correlation–multivariate GARCH approach. Economic Modelling, 52, 292–299. https://doi.org/10.1016/j.econmod.2014.09.004
  • JERIBI, A., Chamsa, D., & Manzli, Y. S. (2020). Emerging stock markets’ reaction to COVID-19: can cryptocurrencies be a safe haven? Studies, 2(3), 152–165 http://doi.org/10.26677/TR1010.2020.619. .
  • Jeribi A and Ghorbel A. (2021). Forecasting developed and BRICS stock markets with cryptocurrencies and gold: generalized orthogonal generalized autoregressive conditional heteroskedasticity and generalized autoregressive score analysis. IJOEM, https://doi.org/10.1108/IJOEM-06-2020-0688
  • Klein, T, Thu, H. P, & Walther, T. (2018). Bitcoin is not the new gold–A comparison of volatility, correlation, and portfolio performance. International Review of Financial Analysis, 59, 105–116. https://doi.org/10.1016/j.irfa.2018.07.010
  • Kumah, S. P., Abbam, D. A., Armah, R., & Appiah-Kubi, E. (2021). African financial markets in a storm: Cryptocurrency safe havens during the COVID-19 pandemic. Journal of Research in Emerging Markets, 3(2), 60–70. https://doi.org/10.30585/jrems.v3i2.635
  • Kumar, A. S., & Kamaiah, B. (2017). Returns and volatility spillover between Asian equity markets: A wavelet approach. Economic Annals, 62(212), 63–83. https://doi.org/10.2298/EKA1712063K
  • Li, R., Li, S., Yuan, D., & Yu, K. (2020). Does economic policy uncertainty in the US influence stock markets in China and India? Time-frequency evidence. Applied Economics, 52(39), 4300–4316. https://doi.org/10.1080/00036846.2020.1734182
  • Lo, A. W. (2004). Lo. The adaptive markets hypothesis. The Journal of Portfolio Management, 30(5), 15–29. https://doi.org/10.3905/jpm.2004.442611
  • Markowitz, H. (1952). Portfolio Selection. Journal of Finance. Markowitz, HM—1952, 77–91.
  • Müller, U. A., Dacorogna, M. M., Davé, R. D., Olsen, R. B., Pictet, O. V., & Von Weizsäcker, J. E. (1997). Volatilities of different time resolutions—analyzing the dynamics of market components. Journal of Empirical Finance, 4(2–3), 213–239. https://doi.org/10.1016/S0927-5398(97)00007-8
  • Ng, E. K., & Chan, J. C. (2012). Geophysical applications of partial wavelet coherence and multiple wavelet coherence. Journal of Atmospheric and Oceanic Technology, 29(12), 1845–1853. https://doi.org/10.1175/JTECH-D-12-00056.1
  • Nguyen, H., Liu, B., & Parikh, N. Y. (2020). Exploring the short-term momentum effect in the cryptocurrency market. Evolutionary and Institutional Economics Review, 17(2), 425–443. https://doi.org/10.1007/s40844-020-00176-z
  • Omane-Adjepong, M., Alagidede, P., & Akosah, N. K. (2019). Wavelet time-scale persistence analysis of cryptocurrency market returns and volatility. Physica A: Statistical Mechanics and Its Applications, 514, 105–120. https://doi.org/10.1016/j.physa.2018.09.013
  • Owusu Junior, P, Adam, A. M, Asafo-Adjei, E, Boateng, E, Hamidu, Z, & Awotwe, E. (2021a). Time-frequency domain analysis of investor fear and expectations in stock markets of BRIC economies. Heliyon, 7(10), e08211. https://doi.org/10.1016/j.heliyon.2021.e08211
  • Owusu Junior, P., Adam, A. M., & Tweneboah, G. (2020). Connectedness of cryptocurrencies and gold returns: Evidence from frequency-dependent quantile regressions. Cogent Economics & Finance, 8(1), 1804037. https://doi.org/10.1080/23322039.2020.1804037
  • Owusu Junior, P, Frimpong, S, Adam, A. M, Agyei, S. K, Gyamfi, E. N, Agyapong, D, & Tweneboah, G. (2021). COVID-19 as information transmitter to global equity markets: Evidence from CEEMDAN-based transfer entropy approach. Mathematical Problems in Engineering, 2021.
  • Owusu Junior, P, Tiwari, A. K, Tweneboah, G, & Asafo-Adjei, E. (2022). GAS and GARCH based value-at-risk modeling of precious metals. Resources Policy, 75, 102456. https://doi.org/10.1016/j.resourpol.2021.102456
  • Pal, D., & Mitra, S. K. (2019). Oil price and automobile stock return co-movement: A wavelet coherence analysis. Economic Modelling, 76, 172–181. https://doi.org/10.1016/j.econmod.2018.07.028
  • Pieters, G, & Vivanco, S. (2017). Financial regulations and price inconsistencies across Bitcoin markets. Information Economics and Policy, 39, 1–14. https://doi.org/10.1016/j.infoecopol.2017.02.002
  • Qiao, X, Zhu, H, & Hau, L. (2020). Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis. International Review of Financial Analysis, 71, 101541. https://doi.org/10.1016/j.irfa.2020.101541
  • Rua, A, & Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16(4), 632–639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sami, M., & Abdallah, W. (2020). Cryptocurrency and stock markets: Complements or substitutes? Evidence from gulf countries. Sami M., & Abdallah W. (2020). Cryptocurrency and Stock Market: Complements or Substitutes, 25–35.
  • Şenol, Z., & ZEREN, F. (2020). Coronavirus (COVID-19) and stock markets: The effects of the pandemic on the global economy. Avrasya Sosyal ve Ekonomi Arastirmalari Dergisi, 7(4), 1–16.
  • Shahzad, S. J. H, Bouri, E, Roubaud, D, & Kristoufek, L. (2020). Safe haven, hedge and diversification for G7 stock markets: Gold versus bitcoin. Economic Modelling, 87, 212–224. https://doi.org/10.1016/j.econmod.2019.07.023
  • Shahzad S Jawad, Bouri E, Roubaud D, Kristoufek L and Lucey B. (2019). Is Bitcoin a better safe-haven investment than gold and commodities?. International Review of Financial Analysis, 63 322–330. 10.1016/j.irfa.2019.01.002
  • Su, X., & Li, Y. (2020). Dynamic sentiment spillovers among crude oil, gold, and Bitcoin markets: Evidence from time and frequency domain analyses. Plos one, 15(12), e0242515. https://doi.org/10.1371/journal.pone.0242515
  • Tiwari, A. K, Raheem, I. D, & Kang, S. H. (2019). Time-varying dynamic conditional correlation between stock and cryptocurrency markets using the copula-ADCC-EGARCH model. Physica A: Statistical Mechanics and Its Applications, 535, 122295. https://doi.org/10.1016/j.physa.2019.122295
  • Torrence, C, & Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79(1), 61–78. https://doi.org/10.1175/1520-0477(1998)079<0061:APGTWA>2.0.CO;2
  • Tweneboah, G., Owusu Junior, P, & Oseifuah, E. K. (2019). Integration of major African stock markets: Evidence from multi-scale wavelets correlation. Academy of Accounting and Financial Studies Journal, 23(6), 1–15.
  • Vacha, L., & Barunik, J. (2012). Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis. Energy Economics, 34(1), 241–247. https://doi.org/10.1016/j.eneco.2011.10.007
  • Van Hoang, T. H, Lahiani, A, & Heller, D. (2016). Is gold a hedge against inflation? New evidence from a nonlinear ARDL approach. Economic Modelling, 54, 54–66. https://doi.org/10.1016/j.econmod.2015.12.013
  • Wu, K, Zhu, J, Xu, M, & Yang, L. (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, 53, 101194. https://doi.org/10.1016/j.najef.2020.101194
  • Yarovaya, L, Brzeszczyński, J, & Lau, C. K. M. (2016). Intra-and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures. International Review of Financial Analysis, 43, 96–114. https://doi.org/10.1016/j.irfa.2015.09.004