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Stock Returns and Income Inequality in Emerging Economies: Asymmetric Evidence from BRICS and MIKTA

Nazif Durmaz et al.

Global Journal of Emerging Market Economies2025https://doi.org/10.1177/09749101251319584article
AJG 1
Weight
0.41

What the paper says

This article explores the nuanced relationship between stock returns and income inequality within the emerging economies of Brazil, Russia, India, China, and South Africa (BRICS) and Mexico, Indonesia, South Korea, Türkiye, and Australia (MIKTA) countries. The study investigates the interactions that potentially influence socioeconomic disparities through market dynamics. Employing a comprehensive panel data analysis, the study utilizes autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL) methods to assess the temporal and cross-sectional impacts of stock market fluctuations on income inequality indices, such as the Gini coefficient. The analysis reveals varied responses to stock returns in relation to income inequality across different countries. By integrating both linear and nonlinear approaches in the analysis of stock returns and income inequality, this article contributes to a more nuanced understanding of economic disparities in emerging economies. It underscores the importance of tailored economic policies to manage the impacts of market dynamics on social equity. JEL Classification D63, G10, O16

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https://doi.org/https://doi.org/10.1177/09749101251319584

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@article{nazif2025,
  title        = {{Stock Returns and Income Inequality in Emerging Economies: Asymmetric Evidence from BRICS and MIKTA}},
  author       = {Nazif Durmaz et al.},
  journal      = {Global Journal of Emerging Market Economies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1177/09749101251319584},
}

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Stock Returns and Income Inequality in Emerging Economies: Asymmetric Evidence from BRICS and MIKTA

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.