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Who Adopts Crypto Assets in Japan? Evidence from the 2019 Financial Literacy Survey

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  • Hiroshi FUJIKI

Abstract

The adoption of crypto assets has been of great concern to policymakers ever since Facebook announced its proposed cryptocurrency, Libra, in mid-2019. Behind this concern lies the possibility of widespread Libra adoption for day-to-day transactions, bringing with it a set of serious risks related to money laundering, illicit financing, and consumer and investor protection. This study aims to investigate the demographic characteristics, financial literacy, financial behavior, three risky asset holdings, and the use of noncash payment methods among Japanese crypto asset adopters. To achieve these aims, probit models and multinomial logit models are applied. We find that Japanese crypto asset owners are more likely to be young and male and to have lower educational levels than non-owners. This is consistent with previous studies. The average relationship between crypto asset ownership and level of objective financial literacy is not found to be statistically significant; however, crypto asset owners' degree of understanding of crypto assets is associated with their level of objective financial literacy. Owners who indicate that they understand crypto assets to some extent tend to have better objective financial literacy, while owners who indicate that they do not understand crypto assets tend to have a lower level of objective financial literacy. A better understanding of crypto assets is also positively associated with earning profits from investing in them; however, objective financial literacy is not related to profiting from investment in crypto assets. Our results suggest that, in predicting the performance of an investment in crypto assets, specific knowledge of crypto assets is more important than objective financial literacy that captures general financial knowledge. Other notable findings of the study include the fact that crypto asset owners obtain information about economy and finance from mass media more frequently; that they are more experienced with financial troubles, such as bank transfer fraud or multiple debts; and that they are less credit card literate than non-owners, on average. They tend also to be more myopic, subject to herding, lacking in self-control, over-confident in their financial literacy, and less loss-averse than non-owners. Crypto asset owners' demographic characteristics are similar to those of the individuals who have experience investing in stocks, investment trusts, and foreign currency denominated money market funds. They are also demographically similar to those who use both crypto assets and one of the four payment methods?credit cards, electronic money, debit cards, and mobile payments via smartphones?rather than crypto assets alone.

Suggested Citation

  • Hiroshi FUJIKI, 2020. "Who Adopts Crypto Assets in Japan? Evidence from the 2019 Financial Literacy Survey," Working Papers e150, Tokyo Center for Economic Research.
  • Handle: RePEc:tcr:wpaper:e150
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    1. Helmut Stix, 2021. "Ownership and purchase intention of crypto-assets: survey results," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(1), pages 65-99, February.
    2. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    3. Bonaparte, Yosef, 2022. "Time horizon and cryptocurrency ownership: Is crypto not speculative?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    4. Sekita, Shizuka & Kakkar, Vikas & Ogaki, Masao, 2022. "Wealth, Financial Literacy and Behavioral Biases in Japan: the Effects of Various Types of Financial Literacy," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    5. Kawamura, Tetsuya & Mori, Tomoharu & Motonishi, Taizo & Ogawa, Kazuhito, 2021. "Is Financial Literacy Dangerous? Financial Literacy, Behavioral Factors, and Financial Choices of Households," Journal of the Japanese and International Economies, Elsevier, vol. 60(C).
    6. Levkov Nikola & Bogoevska-Gavrilova Irena & Trajkovska Milica, 2022. "Profile and Financial Behaviour of Crypto Adopters – Evidence from Macedonian Population Survey," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 172-185, December.
    7. Umar, Muhammad & Ji, Xiangfeng & Mirza, Nawazish & Li, Haiping, 2022. "Crypto swings and the performance of carbon-intensive equity funds in China," Resources Policy, Elsevier, vol. 78(C).
    8. Daniela Balutel & Marie-Hélène Felt & Gradon Nicholls & Marcel-Cristian Voia, 2024. "Bitcoin awareness, ownership and use: 2016–20," Applied Economics, Taylor & Francis Journals, vol. 56(1), pages 33-58, January.
    9. Saito, Makoto, 2022. "On expenditure/income discrepancies in national accounts in the presence of two price units," Japan and the World Economy, Elsevier, vol. 64(C).
    10. Raphael Auer & Giulio Cornelli & Sebastian Doerr & Jon Frost & Leonardo Gambacorta, 2022. "Crypto trading and Bitcoin prices: evidence from a new database of retail adoption," BIS Working Papers 1049, Bank for International Settlements.
    11. Untung Rahardja & Shih-Chih Chen & Yu-Chun Lin & Tsung-Chieh Tsai & Qurotul Aini & Asif Khan & Fitra Putri Oganda & Elisa Royani Dewi & Ying-Chieh Cho & Chung-Hao Hsu, 2023. "Evaluating the Mediating Mechanism of Perceived Trust and Risk toward Cryptocurrency: An Empirical Research," SAGE Open, , vol. 13(4), pages 21582440231, December.
    12. Hiroshi Fujiki, 2023. "Attributes needed for Japan’s central bank digital currency," The Japanese Economic Review, Springer, vol. 74(1), pages 117-175, January.
    13. Trinh Quang Long & Peter J. Morgan & Naoyuki Yoshino, 2023. "Financial literacy, behavioral traits, and ePayment adoption and usage in Japan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-30, December.
    14. Daniela Balutel & Walter Engert & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Private Digital Cryptoassets as Investment? Bitcoin Ownership and Use in Canada, 2016-2021," Staff Working Papers 22-44, Bank of Canada.
    15. Lin Li, 2023. "Investigating risk assessment in post-pandemic household cryptocurrency investments: an explainable machine learning approach," Journal of Asset Management, Palgrave Macmillan, vol. 24(4), pages 255-267, July.
    16. Georgios A. Panos & Tatja Karkkainen & Adele Atkinson, 2020. "Financial Literacy and Attitudes to Cryptocurrencies," Working Papers 2020_26, Business School - Economics, University of Glasgow.
    17. Mario Arias-Oliva & Jorge de Andrés-Sánchez & Jorge Pelegrín-Borondo, 2021. "Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households," Mathematics, MDPI, vol. 9(4), pages 1-19, February.
    18. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    19. Elisa Tjondro & Saarce Elsye Hatane & Retnaningtyas Widuri & Josua Tarigan, 2023. "Rational versus Irrational Behavior of Indonesian Cryptocurrency Owners in Making Investment Decision," Risks, MDPI, vol. 11(1), pages 1-18, January.
    20. Daniela Balutel & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners," Staff Working Papers 22-26, Bank of Canada.

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    More about this item

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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