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. Dissensus Working Paper DAI-2508. DOI: 10.21203/rs.3.rs-8787736/v1
Methodology
NLP zero-shot classification
CP tensor decomposition
Tucker congruence
Topics
Financial Markets
Cryptocurrency
Natural Language Processing