Examining market volatility arbitrage in cryptocurrencies with the perspective of Beldex coin trading dynamics in India
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DOIhttp://dx.doi.org/10.21511/imfi.21(4).2024.23
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Article InfoVolume 21 2024, Issue #4, pp. 289-300
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Creative Commons Attribution 4.0 International License
Cryptocurrency trading has gained significant adhesion in financial markets, making it essential to understand the factors influencing trading intentions. This study investigates the psychological and knowledge-based determinants of trading intentions towards Beldex coins among crypto traders in India. This study aims to evaluate how risk management, hedonic motivation, investment desire, market knowledge, peer participation, and earning desires impact trading intentions. A survey was conducted with 369 crypto traders in India, and multiple regression analysis was employed to analyze the data. The results indicate that all six factors significantly influence trading intentions, with risk management (β = 0.342, p < 0.001) and earning desires (β = 0.378, p < 0.001) having the strongest impact on Indian Cryptocurrency market arbitrage. The regression model explained 53% of the variance in trading intentions (R² = 0.53). Cryptocurrency market information is analyzed through the CoinGecko tool that provides charts, market capitalization, and blockchain data; multiple regression analysis is utilized to test the hypothesized relationships. This study reveals that traders’ investment decisions in cryptocurrencies are primarily driven by financial motivations, including potential high returns, diversification, and inflation hedging, as well as technological factors of decentralized finance, blockchain technology, and digitalized transactions.
Acknowledgment
The authors would like to convey their gratitude to Prof. Balakumar Pitchai, Director/Research, Training & Publications at the Office of Research & Development, Periyar Maniammai Institute of Science & Technology (Deemed to be University), India for his suggestions to improve the language of the manuscript.
- Keywords
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JEL Classification (Paper profile tab)G11, G15, D81
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References34
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Tables2
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Figures4
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- Figure 1. Market volatility of Beldex coin
- Figure 2. Structural equation modeling for assessing the trading and retrading intentions
- Figure 3. Contemporary scenario of Beldex Coin in the market – July 2023 to April 2024
- Figure 4. Beldex coin efficiency in the market 2019–2024
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- Table 1. Regression analysis results
- Table 2. Trading and retrading intensions
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