Critical comparison of several order-book models for stock-market fluctuations

Economy – Quantitative Finance – Trading and Market Microstructure

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, 26 figures, accepted in Eur. Phys. J. B

Scientific paper

10.1140/epjb/e2008-00059-3

Far-from-equilibrium models of interacting particles in one dimension are used as a basis for modelling the stock-market fluctuations. Particle types and their positions are interpreted as buy and sell orders placed on a price axis in the order book. We revisit some modifications of well-known models, starting with the Bak-Paczuski-Shubik model. We look at the four decades old Stigler model and investigate its variants. One of them is the simplified version of the Genoa artificial market. The list of studied models is completed by the models of Maslov and Daniels et al. Generically, in all cases we compare the return distribution, absolute return autocorrelation and the value of the Hurst exponent. It turns out that none of the models reproduces satisfactorily all the empirical data, but the most promising candidates for further development are the Genoa artificial market and the Maslov model with moderate order evaporation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Critical comparison of several order-book models for stock-market fluctuations does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Critical comparison of several order-book models for stock-market fluctuations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Critical comparison of several order-book models for stock-market fluctuations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-379432

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.