Beyond the Square Root: Evidence for Logarithmic Dependence of Market Impact on Size and Participation Rate
Abstract
We make an extensive empirical study of the market impact of large orders (metaorders) executed in the US equity market between 2007 and 2009. We show that the square root market impact formula, which is widely used in the industry and supported by previous published research, provides a good fit only across about two orders of magnitude in order size. A logarithmic functional form fits the data better, providing a good fit across almost five orders of magnitude. We introduce the concept of an “impact surface” to model the impact as a function of both the duration and the participation rate of the metaorder, finding again a logarithmic dependence. We show that during the execution the price trajectory deviates from the market impact, a clear indication of non-VWAP executions. Surprisingly, we find that sometimes the price starts reverting well before the end of the execution. Finally we show that, although on average the impact relaxes to approximately of the peak impact, the precise asymptotic value of the price depends on the participation rate and on the duration of the metaorder. We present evidence that this might be due to a herding phenomenon among metaorders.
References
- 2005] Direct Estimation of Equity Market Impact Risk 18, 57–62. Google Scholar [
- 2001] Optimal Execution of Portfolio Transactions Journal of Risk 3, 5–40. Crossref, Google Scholar [
- Bacry, E., A. Iuga, M. Lasnier, and C.-A. Lehalle, 2014, Market Impacts and the Life Cycle of Investors Orders. Available at http://arxiv.org/abs/1412.0217 (last accessed: March 5, 2015). Google Scholar
- 2013] The Non-Linear Market Impact of Large Trades: Evidence from Buy-side Order Flow Quantitative Finance 13 (11), 1759–1778. Crossref, Google Scholar [
- 2009]
How Markets Slowly Digest Changes in Supply and Demand , Handbook of Financial Markets: Dynamics and Evolution, (eds.), Hens, T. and K. Schenk-Hoppe, Amsterdam: Elsevier, pp. 57–160. Crossref, Google Scholar [ - 2004] Fluctuations and Response in Financial Markets: The Subtle Nature of “Random” Price Changes Quantitative Finance 4 (2), 176–190. Crossref, Google Scholar [
- Brokmann, X., E. Serie, J. Kockelkoren, and J.-P. Bouchaud, 2014, Slow Decay of Impact in Equity Markets. Available at SSRN: http://arXiv.org/abs/1407.3390 (last accessed: March 5, 2015). Google Scholar
- 2012] Buy-Side Trades and Sell-Side Recommendations: Interactions and Information Content Journal of Financial Markets 15 (2), 207–232. Crossref, Google Scholar [
- 2009] The Role of Institutional Investors in Seasoned Equity Offerings Journal of Financial Economics 94 (3), 384–411. Crossref, Google Scholar [
- Curato, G., J. Gatheral, and F. Lillo, 2014, Optimal Execution with Nonlinear Transient Market Impact. Available at SSRN: http://ssrn.com/abstract=2539240 (last accessed: March 5, 2015). Google Scholar
- Dang, N.-M., 2012, Optimal Execution with Transient Impact. Available at SSRN: http://ssrn.com/abstract=2183685 (last accessed: March 5, 2015). Google Scholar
- Donier, J., J. Bonart, I. Mastromatteo, and J.-P. Bouchaud, 2014, A Fully Consistent, Minimal Model for Non-Linear Market Impact. Available at http://arxiv.org/abs/1412.0141 (last accessed: March 5, 2015). Google Scholar
- Engle, R. F., R. Ferstenberg, and J. Russell, 2008, Measuring and Modeling Execution Cost and Risk, Chicago GSB Research Paper No. 08-09. Google Scholar
- 2013] How Efficiency Shapes Market Impact Quantitative Finance 13 (11), 1743–1758. Crossref, Google Scholar [
- 2006] Institutional Investors and Stock Market Volatility Quarterly Journal of Economics 121, 461–504. Crossref, Google Scholar [
- 2010] No-Dynamic-Arbitrage and Market Impact Quantitative Finance 10 (7), 749–759. Crossref, Google Scholar [
- 2012] Transient Linear Price Impact and Fredholm Integral Equations Mathematical Finance 22 (3), 445–474. Crossref, Google Scholar [
- Gerig, A., 2007, A Theory for Market Impact: How Order Flow Affects Stock Price. Available at http://arxiv.org/abs/0804.3818 (last accessed: March 5, 2015). Google Scholar
- 2009] Brokerage Commissions and Institutional Trading Patterns Review of Financial Studies 22 (12), 5175–5212. Crossref, Google Scholar [
- 2011] Purchasing Ipos with Commissions Journal of Financial and Quantitative Analysis 46 (5), 1193–1225. Crossref, Google Scholar [
- Jame, R., 2010, Organizational Structure and Fund Performance: Pension Funds vs. Mutual Funds. Avilable at SSRN: http://ssrn.com/abstract=1465869 (last accessed: March 5, 2015). Google Scholar
- 1985] Continuous Auctions and Insider Trading Econometrica 53, 1315–1335. Crossref, Google Scholar [
- Kyle, A., and A. Obizhaeva, 2014, Market Microstructure Invariance: Theory and Empirical Tests. Available at SSRN: http://ssrn.com/abstract=1687965 (last accessed: March 5, 2015). Google Scholar
- 2014] Agent-Based Models for Latent Liquidity and Concave Price Impact Physical Review E 89 (4), 042805. Crossref, Google Scholar [
- 2009] Market Impact and Trading Profile of Hidden Orders in Stock Markets Physical Review E 80 (6), 066102. Crossref, Google Scholar [
- 2014] The Adaptive Nature of Liquidity in Limit Order Books Journal of Statistical Mechanics P06002. Google Scholar [
- 1997] Barra Market Impact Model Handbook. Berkeley: BARRA. Google Scholar [
- 2010] Segmentation Algorithm for Non-Stationary Compound Poisson Processes with an Application to Inventory Time Series of Market Members in a Financial Market European Physical Journal B 78, 235–243. Crossref, Google Scholar [
- 2011] Anomalous Price Impact and the Critical Nature of Liquidity in Financial Markets Physical Review X 1 (2), 021006. Crossref, Google Scholar [
- Puckett, A., and X. Yan, 2008, Short-Term Institutional Herding and Its Impact on Stock Prices, Unpublished Working Paper, University of Missouri. Google Scholar
- 2011] The Interim Trading Skills of Institutional Investors The Journal of Finance 66 (2), 601–633. Crossref, Google Scholar [
- 2013] Is Market Impact a Measure of the Information Value of Trades? Market Response to Liquidity vs. Informed Trades Quantitative Finance 15, 773–793. Google Scholar [