Whether It Is Reasonable to Assess Volatility Index in Technology and Broader Market Using the BVIN Methodology

With the global economic downturn, investors need to make increasingly cautious investment decisions, making volatility analysis of financial products more critical. However, relying on a single data source or index often fails to provide comprehensive market insights, thereby affecting the rationality of decision-making. The Bitcoin Volatility Index (BVIN) has been proven to effectively reflect the volatility of the Bitcoin market. This study adopts the BVIN algorithm to calculate the volatility of a single stock (using Apple Inc. as an example) and the VIX index and evaluates the effectiveness of these indices in reflecting market performance. The results show that the BVIN algorithm cannot only be applied to the Bitcoin market but can also be extended to stocks and broader financial products, providing investors with a new tool for market performance evaluation.

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Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-09-16
DOI
https://doi.org/10.54254/2754-1169/2024.26956
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
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article

Whether It Is Reasonable to Assess Volatility Index in Technology and Broader Market Using the BVIN Methodology

Xinyi Wang, Yuchen Hu, Jingyi Ma
Advances in Economics Management and Political Sciences
Market Dynamics and Volatility
article

Whether It Is Reasonable to Assess Volatility Index in Technology and Broader Market Using the BVIN Methodology

Xinyi Wang, Yuchen Hu, Jingyi Ma
article en

Abstract

With the global economic downturn, investors need to make increasingly cautious investment decisions, making volatility analysis of financial products more critical. However, relying on a single data source or index often fails to provide comprehensive market insights, thereby affecting the rationality of decision-making. The Bitcoin Volatility Index (BVIN) has been proven to effectively reflect the volatility of the Bitcoin market. This study adopts the BVIN algorithm to calculate the volatility of a single stock (using Apple Inc. as an example) and the VIX index and evaluates the effectiveness of these indices in reflecting market performance. The results show that the BVIN algorithm cannot only be applied to the Bitcoin market but can also be extended to stocks and broader financial products, providing investors with a new tool for market performance evaluation.

Advances in Economics Management and Political SciencesVol. 217(1)
UNSW Sydney (AU), Xi’an Jiaotong-Liverpool University (CN), Renmin University of China (CN)
Openalex Percentile: Top 66%
Market Dynamics and Volatility
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