Theory for long memory in supply and demand

Fabrizio Lillo, J. Doyne Farmer, Fabrizio Lillo, Szabolcs Mike

Risultato della ricerca: Articlepeer review

60 Citazioni (Scopus)

Abstract

Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in financial markets J.-P. Bouchaud, Y. Gefen, M. Potters, and M. Wyart, Quant. Finance 4, 176 2004; F. Lillo and J. D. Farmer Dyn. Syst. Appl. 8, 3 2004. We show how this can be caused by delays in market clearing. Under the common practice of order splitting, large orders are broken up into pieces and executed incrementally. If the size of such large orders is power-law distributed, this gives rise to power-law decaying autocorrelations in the signs of executed orders. More specifically, we show that if the cumulative distribution of large orders of volume v is proportional to v− and the size of executed orders is constant, the autocorrelation of order signs as a function of the lag is asymptotically proportional to −−1. This is a long-memory process when 2. With a few caveats, this gives a good match to the data. A version of the model also shows long-memory fluctuations in order execution rates, which may be relevant for explaining the long memory of price diffusion rates.
Lingua originaleEnglish
pagine (da-a)066122-1-066122-11
Numero di pagine11
RivistaPHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS
Volume71
Stato di pubblicazionePublished - 2005

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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