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Bitcoin Trading Patterns: Unveiling Uniformity in Developed and Developing Countries with a Focus on India (2015-2022).

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Title: Bitcoin Trading Patterns: Unveiling Uniformity in Developed and Developing Countries with a Focus on India (2015-2022).
Authors: RAJKUMAR, K. PRABHAKAR1
Source: Finance India. Jun2025, Vol. 39 Issue 2, p269-318. 50p.
Subject Terms: *CRYPTOCURRENCIES, *INVESTORS, *INFORMAL sector, RADIAL basis functions, DEVELOPING countries
Geographic Terms: INDIA
Abstract: Bitcoin have surged in popularity, operating via Cryptography and independently of Central Banks. Bitcoin's global trade volume has astonished investors in both developed and developing nations. In India, Bitcoin trade remains unregulated, leading to uncertainty over its legal status. This study analyzes 8 years of Bitcoin trading data (January 2015 to December 2022) across 20 developed and 28 developing countries. It aims to uncover consistent trading patterns between these two groups. The research delves into market potential, market and risk assessment, volatility and growth and diversification, utilizing ANOVA, Levene test, and Post-hoc tests. Assumptions are validated through Kolmogorov-Smirnov and Shapiro-Wilk tests, with Normal Q-Q Plots visualizing distribution. Multivariate tests capture intricate relationships, while the Radial Basis Function method bolsters accuracy. Interestingly, the research reveals disparity in Bitcoin trading patterns, diverging between developed and developing countries, even if uniform within each group. [ABSTRACT FROM AUTHOR]
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Database: Business Source Index
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Abstract:Bitcoin have surged in popularity, operating via Cryptography and independently of Central Banks. Bitcoin's global trade volume has astonished investors in both developed and developing nations. In India, Bitcoin trade remains unregulated, leading to uncertainty over its legal status. This study analyzes 8 years of Bitcoin trading data (January 2015 to December 2022) across 20 developed and 28 developing countries. It aims to uncover consistent trading patterns between these two groups. The research delves into market potential, market and risk assessment, volatility and growth and diversification, utilizing ANOVA, Levene test, and Post-hoc tests. Assumptions are validated through Kolmogorov-Smirnov and Shapiro-Wilk tests, with Normal Q-Q Plots visualizing distribution. Multivariate tests capture intricate relationships, while the Radial Basis Function method bolsters accuracy. Interestingly, the research reveals disparity in Bitcoin trading patterns, diverging between developed and developing countries, even if uniform within each group. [ABSTRACT FROM AUTHOR]
ISSN:09703772