Towards a Bitcoin Comprehension Index: A Conceptual Framework Combining Financial Literacy, Critical Thinking, and Behavioral Biases.
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Since its inception in 2009, Bitcoin has consolidated itself as a global phenomenon that combines technological innovation with economic transformation. However, the actual degree of comprehension of this cryptocurrency varies significantly among users, and to date no integrative index has been developed to systematically evaluate it.
This paper proposes the ALBA-BTC Index (Analytical, Literacy & Bias-Adjusted Bitcoin Index) as a conceptual framework for measuring Bitcoin comprehension across eight dimensions: financial literacy, technical knowledge, critical thinking, curiosity, ego, cognitive biases, environment, and experience. The index is presented as a flexible formula with open weights, allowing for future empirical validation through surveys and statistical analysis.
The contribution of the ALBA-BTC Index is threefold: first, it synthesizes into a single model variables that have traditionally been analyzed separately in the literature on financial literacy, technology adoption, and behavioral economics. Second, it provides a pedagogical instrument applicable in educational, community, and professional contexts. Finally, it opens the door to future interdisciplinary research aimed at validating and expanding the proposed framework.
Taken together, the index represents a first step toward the systematic measurement of Bitcoin comprehension, integrating cognitive, social, and experiential factors into a novel and holistic approach.
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DeLaTorre_2025_ALBA-BTC_Index_EN_v1.0.pdf
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References
- Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information Systems Research, 9(2), 204–215. https://doi.org/10.1287/isre.9.2.204
- Arrow, K. J. (1962). The economic implications of learning by doing. The Review of Economic Studies, 29(3), 155–173. https://doi.org/10.2307/2295952
- Barberis, N., & Thaler, R. (2003). A survey of behavioral finance. In G. Constantinides, M. Harris, & R. Stulz (Eds.), Handbook of the Economics of Finance (Vol. 1, pp. 1053–1128). Elsevier.
- Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54, 177–189. https://doi.org/10.1016/j.intfin.2017.12.004
- Frederick, S. (2005). Cognitive reflection and decision making. Journal of Economic Perspectives, 19(4), 25–42. https://doi.org/10.1257/089533005775196732
- Gervais, S., & Odean, T. (2001). Learning to be overconfident. The Review of Financial Studies, 14(1), 1–27. https://doi.org/10.1093/rfs/14.1.1
- Kahneman, D. (2011). Thinking, fast and slow. Farrar, Straus and Giroux. https://doi.org/10.1037/e513372014-030
- Langer, E. J. (1975). The illusion of control. Journal of Personality and Social Psychology, 32(2), 311–328. https://doi.org/10.1037/0022-3514.32.2.311
- Odean, T. (1999). Do investors trade too much? The American Economic Review, 89(5), 1279–1298. https://doi.org/10.1257/aer.89.5.1279
- OECD. (2018). OECD/INFE toolkit for measuring financial literacy and financial inclusion. OECD Publishing. https://doi.org/10.1787/9789264281278-en
- Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
- Auer, R., & Tercero-Lucas, R. (2021). Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments. BIS Working Papers, No. 951. Bank for International Settlements. https://doi.org/10.2139/ssrn.3774704