Return and Volatility Spillovers Among Major Cotton Markets

ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections. Using daily cotton futures prices from the United States, India, and China between May 2015 and January 2023, along with the 10‐step ahead forecast variance decomposition technique, this study examines return and volatility spillovers, as well as market interconnectedness. The findings reveal a sharp increase in interconnectedness between 2015 and early 2022, reflecting strong dependencies among these markets despite a trade war and the COVID‐19 pandemic. However, onset of the Russia‐Ukraine conflict and ensuing geopolitical fragmentation contributed to lower interconnectedness and return transmission since the middle of 2022. Information on interconnectedness and return transmission helps stakeholders better anticipate market fluctuations and implement strategies to mitigate risks in an increasingly uncertain economic environment.

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Publication Details

Journal
Agribusiness
Published
2025-07-19
DOI
https://doi.org/10.1002/agr.70008
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13
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article

Return and Volatility Spillovers Among Major Cotton Markets

Berna Karali, Yangxuan Liu, Munisamy Gopinath, Susmitha Kalli
1 citations
Agribusiness
Market Dynamics and Volatility
3.13
article

Return and Volatility Spillovers Among Major Cotton Markets

Berna Karali, Yangxuan Liu, Munisamy Gopinath, Susmitha Kalli
article en
1 citations

Abstract

ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections. Using daily cotton futures prices from the United States, India, and China between May 2015 and January 2023, along with the 10‐step ahead forecast variance decomposition technique, this study examines return and volatility spillovers, as well as market interconnectedness. The findings reveal a sharp increase in interconnectedness between 2015 and early 2022, reflecting strong dependencies among these markets despite a trade war and the COVID‐19 pandemic. However, onset of the Russia‐Ukraine conflict and ensuing geopolitical fragmentation contributed to lower interconnectedness and return transmission since the middle of 2022. Information on interconnectedness and return transmission helps stakeholders better anticipate market fluctuations and implement strategies to mitigate risks in an increasingly uncertain economic environment.

Agribusiness
University of Georgia (US)
Partnerships for the goals
Openalex Percentile: Top 7%
Market Dynamics and Volatility
3.13
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Return and Volatility Spillovers Among Major Cotton Markets — Berna Karali, Yangxuan Liu, et al. · Agribusiness (2025) | TGRS Research Map | TGRS