Using high-frequency trade and quote data from the Prague Stock Exchange, this paper investigates the price impact of stock trades using a vector autoregressive model. We find that (a) full impact of a trade on the security price is not felt instantaneously but a with a protracted lag, (b) as a function of trade innovation size, the ultimate impact of the innovation on the quote is non-linear, positive, increasing, and convex, and (c) there is a significant causal pattern (acc. to Grange-Sims) running from lagged quote revisions to trades as well as from trades to quote revisions.
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Paper provided by Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies in its series Working Papers IES with number
2006/19.
Find related papers by JEL classification: G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
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