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Stock Market Integration Among BRICS Countries: A Wavelet Approach

Year 2025, Volume: 10 Issue: 1, 169 - 207, 28.02.2025
https://doi.org/10.25229/beta.1586216

Abstract

In this study, the short- and long-term integration among the stock market indices of the five BRICS countries is analyzed over time using wavelet transform. The analysis is based on daily stock market opening data from January 3, 2004, to December 29, 2023, with average log-return values derived from the daily stock opening prices. The relationships between the stock markets of the five BRICS countries in both the short and long term are compared. The results show that there are low correlation levels among the stock markets of the countries in the short term. Additionally, these stock markets tend to move independently in response to short-term shocks. In the long term, a strong correlation is found between the stock markets of the BRICS countries. It was found that the stock markets of Brazil, India, and South Africa influence each other, while China, although independent in the short term, develops a strong relationship with Russia in the long term. The South African stock market is identified as having a fragile structure. Brazil's stock market has a guiding effect on India's stock market. While the Brazilian and Indian stock markets are more integrated into global markets, the Russian and Chinese stock markets follow a more independent trajectory. The analysis indicates that the integration of the BRICS stock markets largely occurs in the long term. The findings provide a new perspective for developing portfolio diversification and risk management models.

Ethical Statement

This study, which does not require ethics committee approval and/or legal/special permission, complies with research and publication ethics.

References

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BRICS Ülkeleri Arasında Borsa Entegrasyonu: Dalgacık Yaklaşımı

Year 2025, Volume: 10 Issue: 1, 169 - 207, 28.02.2025
https://doi.org/10.25229/beta.1586216

Abstract

Bu çalışmada beş BRICS ülkesinin borsa endeksleri arasındaki kısa ve uzun vadeli frekanslarda zamanla değişen entegrasyon dalgacık dönüşümü ile incelenmiştir. 3 Ocak 2004 ile 29 Aralık 2023 tarihleri arasındaki günlük borsa açılış verileri kullanılarak hisse senetlerinin günlük borsa açılış fiyatlarına dayalı ortalama log-getiri değerleri analiz edilmiş beş BRICS ülkesinin kısa ve uzun vadedeki borsa ilişkileri karşılaştırılmıştır. Bulgular incelenen ülkelerin borsaları arasında kısa vadede düşük korelasyon seviyeleri olduğunu göstermiştir. Ayrıca bu borsaların kısa vadeli şoklara karşı bağımsız hareket etme eğiliminde olduğu belirlenmiştir. Uzun vadede BRICS ülkelerinin borsaları arasında güçlü bir korelasyon olduğu saptanmıştır. Brezilya, Hindistan ve Güney Afrika borsalarının birbirini etkilediği Çin’in ise kısa vadede bağımsız kalmasına rağmen uzun vadede Rusya ile güçlü bir ilişki geliştirdiği ortaya çıkmıştır. Güney Afrika borsasının kırılgan bir yapıya sahip olduğu tespit edilmiştir. Brezilya borsasının Hindistan borsası üzerinde yönlendirici bir etkisi olduğu görülmüştür. Brezilya ve Hindistan borsaları küresel piyasalara daha fazla entegre olurken Rusya ve Çin borsalarının daha bağımsız bir seyir izlediği sonucuna ulaşılmıştır. Analiz sonuçları BRICS ülkeleri borsaları arasında entegrasyonun büyük ölçüde uzun vadede gerçekleştiğini göstermektedir. Elde edilen bulgular, portföy çeşitlendirmesi ve risk yönetimi modellerinin geliştirilmesi için yeni bir perspektif sunmaktadır.

Ethical Statement

Etik komite onayı ve/veya yasal/özel izin gerektirmeyen bu çalışma, araştırma ve yayın etiğine uygundur.

References

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  • Baumöhl, E., & Lyócsa, Š. (2014). Volatility and dynamic conditional correlations of worldwide emerging and frontier markets. Economic Modelling, 38, 175–183. https://doi.org/10.1016/j.econmod.2013.12.022
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  • Bhar, R., & Nikolova, B. (2009). Return, volatility spillovers and dynamic correlation in the BRIC equity markets: An analysis using a bivariate EGARCH framework. Global Finance Journal, 19(3), 203–218. https://doi.org/10.1016/j.gfj.2008.09.005
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  • Dima, B., Dima, Ş. M., & Barna, F. (2015). A wavelet analysis of capital markets’ integration in Latin America. Applied Economics, 47(10), 1019–1036. https://doi.org/10.1080/00036846.2014.987917
  • Dsouza, S., Singh, N. P., & Oliyide, J. A. (2024). Dynamic connectedness among the BRICS markets and the recent pandemic: An application of TVP-VAR approach. International Journal of Emerging Markets. Advance online publication. https://doi.org/10.1108/IJOEM-11-2022-1673
  • Forbes, K. J., & Rigobon, R. (2002). No contagion, only interdependence: Measuring stock market comovements. The Journal of Finance, 57(5), 2223–2261. https://doi.org/10.1111/0022-1082.00494
  • Gopane, T. J. (2023). Economic integration and stock market linkages: Evidence from South Africa and BRIC. Journal of Economics, Finance and Administrative Science, 28(56), 237–256. https://doi.org/10.1108/JEFAS-11-2021-0232
  • Graham, M., Kiviaho, J., & Nikkinen, J. (2012). Integration of 22 emerging stock markets: A three-dimensional analysis. Global Finance Journal, 23(1), 34–47. https://doi.org/10.1016/j.gfj.2012.01.003
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  • Hamid, K., Rasool, F., Rasheed, M., & Saeed, M. Y. (2024). Financial integration among Shariah-compliant indices: Empirical evidence from global stock markets. Journal of Business and Management Research, 3(1), 559–563. https://jbmr.com.pk/index.php/Journal/article/view/147
  • Kang, S. H., & Yoon, S. M. (2011). The global financial crisis and the integration of emerging stock markets in Asia. Journal of East Asian Economic Integration, 15(4). https://ssrn.com/abstract=2318230
  • Karim, M. M., Chowdhury, M. A. F., & Masih, M. (2022). Re-examining oil and BRICS’ stock markets: New evidence from wavelet and MGARCH-DCC. Macroeconomics and Finance in Emerging Market Economies, 15(2), 196–214. https://doi.org/10.1080/17520843.2020.1861047
  • Kasa, K. (1992). Common stochastic trends in international stock markets. Journal of Monetary Economics, 29(1), 95–124. https://doi.org/10.1016/0304-3932(92)90025-W
  • Khan, I. (2023). An analysis of stock markets integration and dynamics of volatility spillover in emerging nations. Journal of Economic and Administrative Sciences. Advance online publication. https://doi.org/10.1108/JEAS-10-2022-0236
  • Kim, S. J., Moshirian, F., & Wu, E. (2005). Dynamic stock market integration driven by the European Monetary Union: An empirical analysis. Journal of Banking & Finance, 29(10), 2475–2502. https://doi.org/10.1016/j.jbankfin.2004.09.002
  • Kiong, W. V., Aralas, S., & Pinjaman, S. (2023). Islamic stock price and exchange rate: A wavelet analysis for ASEAN-5. Global Business and Management Research: An International Journal, 15(1), 142–148.
  • Lehkonen, H., & Heimonen, K. (2014). Timescale-dependent stock market comovement: BRICs vs. developed markets. Journal of Empirical Finance, 28, 90–103. https://doi.org/10.1016/j.jempfin.2014.06.002
  • Levy, H., & Sarnat, M. (1970). International diversification of investment portfolios. The American Economic Review, 60(4), 668–675. https://www.jstor.org/stable/1818410
  • Li, R., Tang, G., Hong, C., Li, S., Li, B., & Xiang, S. (2024). A study on economic policy uncertainty, geopolitical risk and stock market spillovers in BRICS countries. The North American Journal of Economics and Finance, 73, Article 102189. https://doi.org/10.1016/j.najef.2024.102189
  • Lu, M., & Banerjee, B. (2023). Visualizing the BRICS expansion in 4 charts. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-brics-expansion-in-4-charts
  • Lu, X., Sun, J., Wei, G., & Chang, C. T. (2023). Causal interactions and financial contagion among the BRICS stock markets under rare events: A Liang causality analysis. International Journal of Emerging Markets. Advance online publication. https://doi.org/10.1108/IJOEM-01-2023-0055
  • Maiti, M. (2021). Quantile regression, asset pricing and investment decision. IIMB Management Review, 33(1), 28–37. https://doi.org/10.1016/j.iimb.2021.03.005
  • Maiti, M., Vukovic, D., Krakovich, V., & Pandey, M. K. (2020). How integrated are cryptocurrencies? International Journal of Big Data Management, 1(1), 64–80. https://doi.org/10.1504/IJBDM.2020.106874
  • Maiti, M., Vukovic, D., Vyklyuk, Y., & Grubisic, Z. (2022). BRICS capital markets co-movement analysis and forecasting. Risks, 10(5), Article 88. https://doi.org/10.3390/risks10050088
  • Marfatia, H. A. (2017). A fresh look at integration of risks in the international stock markets: A wavelet approach. Review of Financial Economics, 34, 33–49. https://doi.org/10.1016/j.rfe.2017.07.003
  • Mariani, M. C., Bhuiyan, M. A. M., Tweneboah, O. K., Beccar-Varela, M. P., & Florescu, I. (2020). Analysis of stock market data by using Dynamic Fourier and Wavelets techniques. Physica A: Statistical Mechanics and its Applications, 537, Article 122785. https://doi.org/10.1016/j.physa.2019.122785
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Details

Primary Language Turkish
Subjects Financial Economy
Journal Section Research Articles
Authors

Nuray Yuzbaşıoğlu 0000-0001-7409-4263

Early Pub Date February 27, 2025
Publication Date February 28, 2025
Submission Date November 15, 2024
Acceptance Date January 3, 2025
Published in Issue Year 2025 Volume: 10 Issue: 1

Cite

APA Yuzbaşıoğlu, N. (2025). BRICS Ülkeleri Arasında Borsa Entegrasyonu: Dalgacık Yaklaşımı. Bulletin of Economic Theory and Analysis, 10(1), 169-207. https://doi.org/10.25229/beta.1586216

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