Foreign Institutional Investment and Exchange-Rate Volatility in India: Asymmetric Spillovers, Shock Transmission, and Policy Effectiveness

This study investigates the impact of foreign institutional investment fluctuations on USD/INR volatility, considering volatility persistence, structural disruptions, global risk factors, and post-2019 regulatory and market-structure changes. The study uses EGARCH models with Narayan–Popp break controls, utilising 2,608 daily observations from 2015 to 2024. The findings indicate that the volatility of USD/INR exhibits significant persistence, with an implied half-life of around 60 trading days. Aggregate lagged FII shocks are not statistically significant in the baseline model; decomposed effects vary across specifications and break regimes. Moderation following 2019 seems restricted on a daily basis. The results suggest that the relationship is persistent, regime-dependent, and sensitive to breaks.

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Publication Details

Journal
Bulletin of Monetary Economics and Banking
Published
2026-11-11
DOI
https://doi.org/10.59091/2460-9196.2743
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Foreign Institutional Investment and Exchange-Rate Volatility in India: Asymmetric Spillovers, Shock Transmission, and Policy Effectiveness

Ashok Kumar Panigrahi
Bulletin of Monetary Economics and Banking
Financial Risk and Volatility Modeling
article

Foreign Institutional Investment and Exchange-Rate Volatility in India: Asymmetric Spillovers, Shock Transmission, and Policy Effectiveness

Ashok Kumar Panigrahi
article en

Abstract

This study investigates the impact of foreign institutional investment fluctuations on USD/INR volatility, considering volatility persistence, structural disruptions, global risk factors, and post-2019 regulatory and market-structure changes. The study uses EGARCH models with Narayan–Popp break controls, utilising 2,608 daily observations from 2015 to 2024. The findings indicate that the volatility of USD/INR exhibits significant persistence, with an implied half-life of around 60 trading days. Aggregate lagged FII shocks are not statistically significant in the baseline model; decomposed effects vary across specifications and break regimes. Moderation following 2019 seems restricted on a daily basis. The results suggest that the relationship is persistent, regime-dependent, and sensitive to breaks.

Bulletin of Monetary Economics and BankingVol. 29(3)
Narsee Monjee Institute of Management Studies (IN)
Financial Risk and Volatility Modeling
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