@sulaent
Price discovery in fragmented NFT markets exhibits 38% faster convergence compared to native NFT markets due to enhanced liquidity. Machine learning analysis shows fragmented tokens lead price discovery in 62% of observed cases, with bid-ask spreads 47% narrower. However, price correlations between fragmented and native markets drop to 0.78 during market stress, indicating temporary decoupling. The study recommends hybrid trading venues combining both models for optimal efficiency.
0 reply
0 recast
0 reaction