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A Sequential Bayesian Change-Point Analysis of BRICS Currency Returns

Author

Listed:
  • Aviral Kumar Tiwari

    (Rajagiri Business School)

  • Cleiton Guollo Taufemback

    (Universidad Carlos III de Madrid)

  • Satish Kumar

    (IBS Hyderabad (ICFAI Foundation for Higher Education))

Abstract

We examine the occurrence of structural breaks in the mean return and volatility of the BRICS currency returns. We propose a novel methodology to identify regimes with same statistical variance based on sequential Bayesian change point model. We find frequent occurrence of structural breaks in the mean returns and volatility of BRICS currencies. The segments with same statistical properties are merged into regimes. We sorted the regimes from low to high regarding their volatility. We show that the last regime exhibits the highest returns and incorporates the shortest periods across all currencies with exception to the Chinese and Brazilian currency. This is an indication that periods of high volatility are few and offers high returns compared to periods of low volatility.

Suggested Citation

  • Aviral Kumar Tiwari & Cleiton Guollo Taufemback & Satish Kumar, 2021. "A Sequential Bayesian Change-Point Analysis of BRICS Currency Returns," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(2), pages 393-402, June.
    • Handle: RePEc:spr:jqecon:v:19:y:2021:i:2:d:10.1007_s40953-020-00227-7
    DOI: 10.1007/s40953-020-00227-7
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    References listed on IDEAS

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    1. Ilja Viktorov & Alexander Abramov, 2020. "The 2014–15 Financial Crisis in Russia and the Foundations of Weak Monetary Power Autonomy in the International Political Economy," New Political Economy, Taylor & Francis Journals, vol. 25(4), pages 487-510, June.
    2. Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
    3. Johnson, Juliet & Woodruff, David, 2017. "Currency crises in post-Soviet Russia," LSE Research Online Documents on Economics 82472, London School of Economics and Political Science, LSE Library.
    4. Cheng, Hui Fang & Gutierrez, Margarida & Mahajan, Arvind & Shachmurove, Yochanan & Shahrokhi, Manuchehr, 2007. "A future global economy to be built by BRICs," Global Finance Journal, Elsevier, vol. 18(2), pages 143-156.
    5. Samargandi, Nahla & Kutan, Ali M., 2016. "Private credit spillovers and economic growth: Evidence from BRICS countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 56-84.
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