SOCIAL MEDIA SENTIMENT AND STOCK PRICE VOLATILITY: AN ANALYSIS OF "MEME STOCKS" DYNAMICS
Abstract
Social media platforms have reshaped retail investing by accelerating the circulation of sentiment and speculative narratives surrounding meme stocks. Understanding whether these signals anticipate volatility remains important for financial research and market risk assessment. This study examines the relationship between Reddit sentiment, online attention, and subsequent price volatility in GameStop, AMC Entertainment, and BlackBerry. A quantitative longitudinal framework was demonstrated using 2,988 simulated stock-day observations spanning 2021–2024. Positive and negative sentiment shares and discussion volume were linked to five-session realized volatility through panel regressions incorporating stock effects and conventional market controls. Predictive performance was evaluated on a chronological 2024 holdout sample. In the simulated data, discussion intensity correlated positively with future volatility (r = 0.383), while sentiment coefficients varied across specifications. Adding sentiment measures marginally improved in-sample explanatory fit but increased holdout forecasting error (RMSE: 4.392 versus 4.368 for the benchmark). These results illustrate the distinction between statistical association and reliable prediction, rather than establish empirical effects in financial markets. The proposed framework contributes a replicable approach for evaluating online sentiment alongside established risk indicators. Future studies should examine cross-platform differences and regulatory changes. Verification using authentic platform and trading records is essential before drawing substantive conclusions about meme-stock dynamics.
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