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Drivers of investment intentions across diverse cryptocurrency categories

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  • Luo, Ji
  • Zhang, Shuguang
  • Zhang, Cheng

Abstract

This study explores the determinants of investment intentions within various cryptocurrency categories, addressing a gap in behavioral finance research that typically treats cryptocurrencies uniformly. Utilizing survey data from 501 crypto investors across the US, Canada, and the UK, we find that Bitcoin investment is primarily driven by reliance on exchange platforms. In contrast, investment intentions in categories like AI tokens are strongly shaped by specialized information channels. Demographic factors, including country, age, income, and marital status, significantly impact investment preferences. Notably, higher educational attainment is negatively associated with Bitcoin investment intentions. These findings highlight the importance of distinguishing between different cryptocurrency types and underscore the need to consider both investor characteristics and information sources when analyzing investment behaviors. The study provides a foundation for future research on investment decisions in the realm of cryptocurrencies.

Suggested Citation

  • Luo, Ji & Zhang, Shuguang & Zhang, Cheng, 2025. "Drivers of investment intentions across diverse cryptocurrency categories," Finance Research Letters, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:finlet:v:77:y:2025:i:c:s1544612325002880
    DOI: 10.1016/j.frl.2025.107024
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    References listed on IDEAS

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    1. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    2. Rakhi Arora & Sonal Purohit, 2024. "Determinants of investment behaviour of investors: a review and research agenda," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 7(2), pages 153-176.
    3. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    4. 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.
    5. Paul, Satya & Mallik, Girijasankar, 2003. "Macroeconomic Factors and Bank and Finance Stock Prices: The Australian Experience," Economic Analysis and Policy, Elsevier, vol. 33(1), pages 23-30, March.
    6. Yousaf, Imran & Yarovaya, Larisa, 2022. "Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets," Finance Research Letters, Elsevier, vol. 50(C).
    7. Yousaf, Imran & Pham, Linh & Goodell, John W., 2023. "The connectedness between meme tokens, meme stocks, and other asset classes: Evidence from a quantile connectedness approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    8. Corbet, Shaen & Lucey, Brian & Urquhart, Andrew & Yarovaya, Larisa, 2019. "Cryptocurrencies as a financial asset: A systematic analysis," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 182-199.
    9. Sadorsky, Perry, 2003. "The macroeconomic determinants of technology stock price volatility," Review of Financial Economics, Elsevier, vol. 12(2), pages 191-205.
    10. Müser, Sinja & Hemmerich, Moritz & Schmitz, Florian, 2024. "Individual differences in Bitcoin investment: The role of personality, attitudes, and knowledge," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 113(C).
    11. Bianchi, Daniele & Babiak, Mykola, 2022. "On the performance of cryptocurrency funds," Journal of Banking & Finance, Elsevier, vol. 138(C).
    12. Vladyslav Koltun & Ivan P. Yamshchikov, 2023. "Pump It: Twitter Sentiment Analysis for Cryptocurrency Price Prediction," Risks, MDPI, vol. 11(9), pages 1-14, September.
    13. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," The Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
    14. Perry Sadorsky, 2003. "The macroeconomic determinants of technology stock price volatility," Review of Financial Economics, John Wiley & Sons, vol. 12(2), pages 191-205.
    15. Jareño, Francisco & Yousaf, Imran, 2023. "Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities," International Review of Financial Analysis, Elsevier, vol. 89(C).
    16. Ren, He & Ye, Linlin & Zheng, Shi, 2024. "Share repurchase and capital market pricing efficiency," Finance Research Letters, Elsevier, vol. 60(C).
    17. Karim, Sitara & Lucey, Brian M. & Naeem, Muhammad Abubakr & Uddin, Gazi Salah, 2022. "Examining the interrelatedness of NFTs, DeFi tokens and cryptocurrencies," Finance Research Letters, Elsevier, vol. 47(PB).
    18. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    19. Andreas Hackethal & Tobin Hanspal & Dominique M Lammer & Kevin Rink, 2022. "The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments [The investor in structured retail products: advice driven or gambling oriented]," Review of Finance, European Finance Association, vol. 26(4), pages 855-898.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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