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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- Akhtekhane, S., & Poorabbas, S. (2023). Value-at-risk estimation using an interpolated distribution of financial returns series. Journal of Applied Finance and Banking, 13(1), 90-107.
- Alekseenko, A. P. (2023). Model framework for consumer protection and crypto-exchanges regulation. Journal of Risk and Financial Management, 16(7), Article 305.
- Almansour, B. Y., Elkrghli, S., & Almansour, A. Y. (2023). Unravelling the complexities of cryptocurrency investment decisions: A behavioral finance perspective from Gulf investors. International Journal of Professional Business Review, 8(7), Article 3265.
- Bakas, D., & Magkonis, G. (2022). What drives volatility in the bitcoin market? Finance Research Letters, 50, Article 103237.
- Bibi, S. (2023). Money in the time of crypto. Research in International Business and Finance, 65, Article 101964.
- Brauneis, A., Mestel, R., Riordan, R., & Theissen, E. (2022). Bitcoin unchained: Determinants of cryptocurrency exchange liquidity. Journal of Empirical Finance, 69, 106-122.
- Chinthapalli, U. R. (2021). A comparative analysis on probability of volatility clusters on cryptocurrencies. Journal of Risk and Financial Management, 14, Article 308.
- El Chaarani, H., El Abiad, Z., El Nemar, S., & Sakka, G. (2024). Factors affecting the adoption of cryptocurrencies for financial transactions. EuroMed Journal of Business, 19(1), 46-61.
- Elsayed, A. H., Gozgor, G., & Yarovaya, L. (2022). Volatility and return connectedness of cryptocurrency, gold, and uncertainty: Evidence from the cryptocurrency uncertainty indices. Finance Research Letters, 47(B), Article 102732.
- Fang, F., Ventre, C., Basios, M., Kanthan, L., Martinez-Rego, D., Wu, F., & Li, L. (2022). Cryptocurrency trading: a comprehensive survey. Financial Innovation, 8, 13.
- Feng, L., Qi, J., & Lucey, B. (2024). Enhancing cryptocurrency market volatility forecasting with daily dynamic tuning strategy. International Review of Financial Analysis, 94, 103239.
- Ferreira, A., & Sandner, P. (2021). EU search for regulatory answers to crypto assets and their place in the financial markets infrastructure. Computer Law & Security Review, 43, Article 105632.
- Grobys, K., Ahmed, S., & Sapkota, N. (2020). Technical trading rules in the cryptocurrency market. Finance Research Letters, 32, Article 101396.
- Gupta, N., Mitra, P., & Banerjee, D. (2023). Cryptocurrencies and traditional assets: Decoding the analogy from emerging economies with crypto usage. Investment Management and Financial Innovations, 20(1), 1-13.
- Hansen, P. R., Kim, C., & Kimbrough, W. (2022). Periodicity in cryptocurrency volatility and liquidity. Journal of Financial Econometrics, 22(1), 224-251.
- Kakinaka, S., & Umeno, K. (2022). Asymmetric volatility dynamics in cryptocurrency markets on multi-time scales. Research in International Business and Finance, 62, Article 101754.
- Kaya, O., & Mostowfi, M. (2022). Low-volatility strategies for highly liquid cryptocurrencies. Finance Research Letters, 46(B), Article 102422.
- Leirvik, T. (2022). Cryptocurrency returns and the volatility of liquidity. Finance Research Letters, 44, Article 102031.
- López Cabarcos, M. Á., Pérez Pico, A. M., Piñeiro Chousa, J., & Šević, A. (2021). Bitcoin volatility, stock market, and investor sentiment: Are they connected? Finance Research Letters, 38, Article 101399.
- Lyócsa, Š., Molnár, P., Plíhal, T., & Širaňová, M. (2020). Impact of macroeconomic news, regulation, and hacking exchange markets on the volatility of Bitcoin. Journal of Economic Dynamics and Control, 119, Article 103980.
- Muhammad Umar, F. Shahzad, I. Ullah, & Tong, F. (2023). A comparative analysis of cryptocurrency returns and economic policy uncertainty pre- and post-COVID-19. Research in International Business and Finance, 65, Article 101965.
- Nomran, N. M., Laallam, A., Haron, R., Kashi, A., Shaikh, Z. H., & Abey, J. (2024). The Impact of the Cryptocurrency Market on Islamic vs. Conventional Stock Returns: Evidence from Gulf Cooperation Council Countries. Journal of Risk Financial Management, 17(7), 305.
- Panigrahi, S. (2023). Are cryptocurrencies a threat to financial stability and economic growth of India? Evidence from the cointegration approach. Investment Management and Financial Innovations, 20(2), 307-320.
- Plastun, A., Slіusareva, L., Sliusarev, D., Smachylo, V., & Khomutenko, L. (2023). Persistence in the cryptocurrency market: Does size matter? Investment Management and Financial Innovations, 20(4), 138-146.
- Rahyuda, H., & Candradewi, M. R. (2023). Determinants of cryptocurrency investment decisions (study of students in Bali). Investment Management and Financial Innovations, 20(2), 193-204.
- Sahoo, P. K., & Sethi, D. (2022). Market efficiency of the cryptocurrencies: Some new evidence based on price–volume relationship. International Journal of Finance and Economics, 29(2), 1569-1580.
- Sapkota, N. (2022). News-based sentiment and Bitcoin volatility. International Review of Financial Analysis, 82, Article 102183.
- Schinckus, C., Nguyen, C. P., & Chong, F. H. L. (2021). Are Bitcoin and Ether affected by strictly anonymous cryptocurrencies? An exploratory study. Economics, Management, and Financial Markets, 16(4).
- Takaishi, T. (2020). Rough volatility of Bitcoin. Finance Research Letters, 32, Article 101379.
- Trabelsi, N. (2018). Are there any volatility spill-over effects among cryptocurrencies and widely traded asset classes? Journal of Risk and Financial Management, 11(4), 66.
- Tran, V. L., & Leirvik, T. (2020). Efficiency in the markets of cryptocurrencies. Finance Research Letters, 35, Article 101382.
- Vu Le Tran, T., & Leirvik, T. (2020). Efficiency in the markets of crypto-currencies. Finance Research Letters, 35, Article 101382.
- Waspada, I., Fitrizal Salim, D., & Krisnawati, A. (2022). Horizon of cryptocurrency before vs during COVID-19. Investment Management and Financial Innovations, 20(1), 14-25.
- Wei, Y., Wang, Y., Lucey, B. M., & Vigne, S. A. (2023). Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets. Journal of Commodity Markets, 29, Article 100305.