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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Subscription Original Article

Modeling Asymmetric Volatility Connectedness and Spillover Dynamics in Emerging Forex Markets Through the Lens of a TVP-VAR Framework

Raj Kumar Singh1,  Tarun Sharma2,  Yashvardhan Singh3,  Ajay Kumar4,  Sunil Kumar5

1 Professor, Department of Commerce, Himachal Pradesh University, Shimla - 171 005, Himachal Pradesh.

2 Research Scholar, Department of Commerce, Himachal Pradesh University, Shimla - 171 005, Himachal Pradesh.

3 Data Analyst, Axtria Pvt. Ltd., Noida, Uttar Pradesh.

4 Assistant Professor, Government Degree College, Tissa, Chamba, Himachal Pradesh.

5 Research Scholar, Department of Commerce, Himachal Pradesh University, Shimla - 171 005, Himachal Pradesh.

Volume 19
Issue 10
Pages 8–38
Year 2025
Received: May 15, 2025 Accepted: Sept. 20, 2025 Published: Oct. 15, 2025
Abstract

Purpose: This article investigated asymmetric volatility connectedness and spillover dynamics in emerging forex markets, emphasizing BRICS countries, amid recent geopolitical and trade-tariff conflicts.

Methodology: The analysis employed the recently introduced TVP-VAR framework by Antonakakis et al. (2020) on daily exchange rate data from April 2015 to March 2025, sourced from Investing.com.

Findings: The study uncovered several key insights. Based on realized variance, the total connectedness index stood at 24.02, reflecting weak connectedness with South Africa and Brazil as net transmitters and Russia, China, and India as net receivers. Consistent with prior evidence, connectedness intensified in crises and weakened during stable periods. The spillover asymmetric measure highlighted the dominance of positive volatility, where RS+ was revealed to be low and RS– was suggested to have weak connectedness. Conversely, cross-market connectedness, estimated at 33.87, within a 2N × 2N dimensional framework, confirmed the dominance of bad volatility. Additionally, network-connectedness analysis identified Russia’s pivotal position in transmitting volatility across BRICS forex markets.

Implications: The study contributed to the literature by applying advanced methodology to emerging economies. For investors, it provided actionable insights for portfolio and risk management strategies. For policymakers, the weak connectedness underscored the need to strengthen economic and financial integration to advance the de-dollarization agenda and enhance regional market resilience.

Originality: This study offered a novel perspective on volatility spillover dynamics in emerging foreign exchange markets and introduced a unique framework for ranking spillover indices.

Keywords volatility asymmetric connectedness spillovers emerging forex market TVP-VAR
How to Cite

Raj Kumar Singh, Tarun Sharma, Yashvardhan Singh, Ajay Kumar, Sunil Kumar (2025). Modeling Asymmetric Volatility Connectedness and Spillover Dynamics in Emerging Forex Markets Through the Lens of a TVP-VAR Framework. Indian Journal of Finance, 19(10), 8–38. https://doi.org/10.17010/ijf/2025/v19i10/175677

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