Market dynamics immediately before and after financial shocks: quantifying the Omori, productivity and Bath laws
Alexander M. Petersen, Fengzhong Wang, Shlomo Havlin, H. Eugene, Stanley

TL;DR
This paper analyzes the cascading market volatility dynamics surrounding 219 shocks, applying earthquake-like empirical laws to quantify aftershock decay, pre-shock activity, and their relation to shock magnitude, with implications for trading strategies.
Contribution
It introduces a quantitative framework applying earthquake laws to financial market shocks, linking shock magnitude to volatility decay and pre-shock activity at both market and stock levels.
Findings
Volatility aftershocks follow Omori law decay.
Larger shocks induce stronger and quicker responses.
Quantitative relations enable potential trading applications.
Abstract
We study the cascading dynamics immediately before and immediately after 219 market shocks. We define the time of a market shock T_{c} to be the time for which the market volatility V(T_{c}) has a peak that exceeds a predetermined threshold. The cascade of high volatility "aftershocks" triggered by the "main shock" is quantitatively similar to earthquakes and solar flares, which have been described by three empirical laws --- the Omori law, the productivity law, and the Bath law. We analyze the most traded 531 stocks in U.S. markets during the two-year period 2001-2002 at the 1-minute time resolution. We find quantitative relations between (i) the "main shock" magnitude M \equiv \log V(T_{c}) occurring at the time T_{c} of each of the 219 "volatility quakes" analyzed, and (ii) the parameters quantifying the decay of volatility aftershocks as well as the volatility preshocks. We also…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Market Dynamics and Volatility · Financial Markets and Investment Strategies
