High-frequency dynamics of the Vietnam stock market

This study examines the high-frequency dynamics of the VNINDEX by utilizing 1-minute data over a sample of 160,677 observations from February 2022 to February 2025 to assess market efficiency, the volume-price relationship and the intraday volatility pattern. Our findings suggest delayed information diffusion and liquidity constraints, reflecting inefficiencies typical of Vietnam stock markets with retail-heavy participation. This paper offers opportunities for momentum trading and highlights the need to enhance market depth to mitigate speculative spikes, contributing to the understanding of high-frequency behavior in the Vietnam stock market.

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Publication Details

Journal
VNU JOURNAL OF ECONOMICS AND BUSINESS
Published
2025-04-25
DOI
https://doi.org/10.57110/vnu-jeb.v5i2.395
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13
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article

High-frequency dynamics of the Vietnam stock market

Ha Manh Tran, Trần Thị Bích Ngọc
1 citations
VNU JOURNAL OF ECONOMICS AND BUSINESS
Complex Systems and Time Series Analysis
3.13
article

High-frequency dynamics of the Vietnam stock market

Ha Manh Tran, Trần Thị Bích Ngọc
article en
1 citations

Abstract

This study examines the high-frequency dynamics of the VNINDEX by utilizing 1-minute data over a sample of 160,677 observations from February 2022 to February 2025 to assess market efficiency, the volume-price relationship and the intraday volatility pattern. Our findings suggest delayed information diffusion and liquidity constraints, reflecting inefficiencies typical of Vietnam stock markets with retail-heavy participation. This paper offers opportunities for momentum trading and highlights the need to enhance market depth to mitigate speculative spikes, contributing to the understanding of high-frequency behavior in the Vietnam stock market.

VNU JOURNAL OF ECONOMICS AND BUSINESSVol. 5(2)
The State Bank of Vietnam (VN), Banking Academy of Vietnam
Openalex Percentile: Top 9%
Complex Systems and Time Series Analysis
3.13
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