Price response in correlated financial markets: empirical results
Shanshan Wang, Rudi Sch\"afer, and Thomas Guhr

TL;DR
This paper empirically analyzes how trades in one stock influence the prices of other stocks, revealing transient impacts, different response characteristics, and long-memory effects in trade sign correlations across markets.
Contribution
It provides the first comprehensive empirical analysis of cross-stock price responses, distinguishing active and passive responses and their dependence on time lag and market sectors.
Findings
Trade impacts are transient, not permanent.
Passive responses are shorter with higher volatility.
Trade sign correlations exhibit long-memory when averaged.
Abstract
Previous studies of the stock price response to individual trades focused on single stocks. We empirically investigate the price response of one stock to the trades of other stocks. How large is the impact of one stock on others and vice versa? -- This impact of trades on the price change across stocks appears to be transient instead of permanent. Performing different averages, we distinguish active and passive responses. The two average responses show different characteristic dependences on the time lag. The passive response exhibits a shorter response period with sizeable volatilities, and the active response a longer period. We also study the response for a given stock with respect to different sectors and to the whole market. Furthermore, we compare the self-response with the various cross-responses. The correlation of the trade signs is a short-memory process for a pair of stocks,…
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Market Dynamics and Volatility · Financial Markets and Investment Strategies
