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Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis
Abstract
Do the functional purposes articulated in cryptocurrency whitepapers correspond to how markets actually price these assets? We propose a three-stage framework combining NLP with market characterization to test narrative-market alignment. A pilot on 8 cryptocurrencies yields overall congruence of 0.719 (95% CI: [0.623, 0.953]).
Suggested Citation
Murad Farzulla (2025). Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis. ASCRI Working Paper DAI-2508. DOI: 10.48550/arXiv.2601.20336
BibTeX
@misc{farzulla2025_whitepaper_factor_analysis,
author = {Farzulla, Murad},
title = {Do Whitepaper Claims Predict Market Behavior? Evidence from Cryptocurrency Factor Analysis},
year = {2025},
howpublished = {ASCRI Working Paper DAI-2508},
doi = {10.48550/arXiv.2601.20336},
url = {https://systems.ac/3/DAI-2508}
}