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Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment

Author

Listed:
  • Wei Sun
  • Alisher Tohirovich Dedahanov
  • Ho Young Shin
  • Ki Su Kim

Abstract

We investigate factors affecting individual investors’ switching intention from traditional financial market to crypto-currency financial market. By sampling factors of individual investors related with crypto-currency (CC), the study applies structural equation modeling method (SEM) to investigate their effects on switching intention by integrating PPM and Reinforcement Sensitivity theories (RST) to form a pulling, pushing and mooring effects model. The investigation indicates that crypto-currency market can be regarded as a kind of beneficial supplement of tradition investment market for those individual investors who are with high innovativeness, reward sensitivity, knowledge and perceived risk. This study proves that the individual investors are not only attracted by significant expected return from crypto-currency but also relevant knowledge and risks disclosed by crypto-currency market regulators and distributors. The findings reinforce major roles for both market regulators and individual investors in considering and providing insights for future policy, management and investigations.

Suggested Citation

  • Wei Sun & Alisher Tohirovich Dedahanov & Ho Young Shin & Ki Su Kim, 2020. "Switching intention to crypto-currency market: Factors predisposing some individuals to risky investment," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-16, June.
    • Handle: RePEc:plo:pone00:0234155
    DOI: 10.1371/journal.pone.0234155
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    Cited by:

    1. Srivastava, Richa & Singh, Deepak Kumar & Rana, Nripendra P., 2024. "Analysis of barriers to investment and mining in cryptocurrency for traditional and tech-savvy investors: A fuzzy approach," Technology in Society, Elsevier, vol. 77(C).
    2. Zdenek Smutny & Zdenek Sulc & Jan Lansky, 2021. "Motivations, Barriers and Risk-Taking When Investing in Cryptocurrencies," Mathematics, MDPI, vol. 9(14), pages 1-22, July.
    3. Wei Sun & Alisher Tohirovich Dedahanov & Ho Young Shin & Wei Ping Li, 2021. "Using extended complexity theory to test SMEs’ adoption of Blockchain-based loan system," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-19, February.
    4. Bommer, William H. & Milevoj, Emil & Rana, Shailesh, 2023. "The intention to use cryptocurrency: A meta-analysis of what we know," Emerging Markets Review, Elsevier, vol. 55(C).
    5. Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. "Factors affecting institutional investors to add crypto-currency to asset portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Jyothi Chittineni, 2022. "A Study on Cryptocurrency Investors Purchase Intentions: Revisiting the Brand Personality Theory," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 28-33, July.

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