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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Cryptocurrency Market Volatility: A Comparative Study with Traditional Assets

Authors: Ishaan R. Choudhary, Meera T. Bedi, Kunal S. Kapoor;

Cryptocurrency Market Volatility: A Comparative Study with Traditional Assets

Abstract

Cryptocurrencies have emerged as a significant component of modern financial markets, attracting global attention due to their high returns and inherent volatility. Unlike traditional financial assets such as stocks, bonds, and commodities, cryptocurrencies are highly speculative and sensitive to market sentiment, regulatory changes, and technological developments. This study investigates the volatility patterns of major cryptocurrencies, including Bitcoin, Ethereum, and Ripple, and compares them with traditional asset classes to understand risk dynamics and investment implications. Using historical market data and statistical volatility models, the research evaluates the degree of market fluctuations, correlations, and potential risk mitigation strategies. The findings indicate that cryptocurrencies exhibit significantly higher volatility than traditional assets, underscoring the need for sophisticated risk management and portfolio diversification strategies for investors

Keywords

Cryptocurrency, Market Volatility, Traditional Assets, Risk Management, Portfolio Diversification

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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