Abstract
Synchronising a database of stock specific news with 5 years worth of order book data on 300 stocks, we show that abnormal price movements following news releases (exogenous) exhibit markedly different dynamical features from those arising spontaneously (endogenous). On average, large volatility fluctuations induced by exogenous events occur abruptly and are followed by a decaying power-law relaxation, while endogenous price jumps are characterized by progressively accelerating growth of volatility, also followed by a power-law relaxation, but slower than for exogenous jumps. Remarkably, our results are reminiscent of what is observed in different contexts, namely Amazon book sales and YouTube views. Finally, we show that fitting power-laws to individual volatility profiles allows one to classify large events into endogenous and exogenous dynamical classes, without relying on the news feed.
| Original language | English |
|---|---|
| Article number | 023403 |
| Journal | Journal of Statistical Mechanics: Theory and Experiment |
| Volume | 2022 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 Feb 2022 |
Keywords
- critical phenomena of socio-economic systems
- market microstructure, market impact
- quantitative finance
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