Tail-driven portfolios: Unveiling financial contagion and enhancing risk management

In financial markets, tail risks, representing the potential for substantial losses, bear significant implications for the formulation of effective risk management strategies. Yet, there exists a notable gap in understanding the interconnectedness within the global market, particularly when analysing time-series tail data. This study introduces a reliable method for identifying events indicative of tail transitions in financial time-series data. The investigation suggests consistent patterns governing extreme events across diverse industries and different time periods, suggestive of the financial contagion in tail risks. Importantly, time-series tail slopes in specific stocks emerge as viable predictors of price fluctuations in others. These findings offer valuable insights for portfolio diversification and risk mitigation in the interconnected financial market.

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Publication Details

Journal
The Journal of Finance and Data Science
Published
2024-10-22
DOI
https://doi.org/10.1016/j.jfds.2024.100142
Citations
3
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.39
Controls
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article

Tail-driven portfolios: Unveiling financial contagion and enhancing risk management

Tingyu Qu
3 citations
The Journal of Finance and Data Science
Complex Systems and Time Series Analysis
3.39
article

Tail-driven portfolios: Unveiling financial contagion and enhancing risk management

Tingyu Qu
article en
3 citations

Abstract

In financial markets, tail risks, representing the potential for substantial losses, bear significant implications for the formulation of effective risk management strategies. Yet, there exists a notable gap in understanding the interconnectedness within the global market, particularly when analysing time-series tail data. This study introduces a reliable method for identifying events indicative of tail transitions in financial time-series data. The investigation suggests consistent patterns governing extreme events across diverse industries and different time periods, suggestive of the financial contagion in tail risks. Importantly, time-series tail slopes in specific stocks emerge as viable predictors of price fluctuations in others. These findings offer valuable insights for portfolio diversification and risk mitigation in the interconnected financial market.

The Journal of Finance and Data ScienceVol. 10
National University of Singapore (SG)
Openalex Percentile: Top 6%
Complex Systems and Time Series Analysis
3.39
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Tail-driven portfolios: Unveiling financial contagion and enhancing risk management — Tingyu Qu · The Journal of Finance and Data Science (2024) | TGRS Research Map | TGRS