bibtype J - Journal Article
ARLID 0496577
utime 20240103220921.4
mtime 20181116235959.9
SCOPUS 85056772335
WOS 000450285700001
DOI 10.1017/jpr.2018.44
title (primary) (eng) How much market making does a market need?
specification
page_count 15 s.
media_type P
serial
ARLID cav_un_epca*0256875
ISSN 0021-9002
title Journal of Applied Probability
volume_id 55
volume 3 (2018)
page_num 667-681
publisher
name Cambridge University Press
keyword continuous double auction
keyword limit order book
keyword Stigler-Luckock model
keyword rank-based Markov chain
author (primary)
ARLID cav_un_auth*0367657
share 50
name1 Peržina
name2 V.
country CZ
author
ARLID cav_un_auth*0217893
full_dept (cz) Stochastická informatika
full_dept Department of Stochastic Informatics
department (cz) SI
department SI
full_dept Department of Stochastic Informatics
share 50
name1 Swart
name2 Jan M.
institution UTIA-B
country CZ
garant A
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2018/SI/swart-0496577.pdf
cas_special
project
project_id GA15-08819S
agency GA ČR
country CZ
ARLID cav_un_auth*0321649
abstract (eng) We consider a simple model for the evolution of a limit order book in which limit orders of unit size arrive according to independent Poisson processes. The frequencies of buy limit orders below a given price level, respectively sell limit orders above a given level, are described by fixed demand and supply functions. Buy (respectively, sell) limit orders that arrive above (respectively, below) the current ask (respectively, bid) price are converted into market orders. There is no cancellation of limit orders. This model has been independently reinvented by several authors, including Stigler (1964), and Luckock (2003), who calculated the equilibrium distribution of the bid and ask prices. We extend the model by introducing market makers that simultaneously place both a buy and sell limit order at the current bid and ask price. We show that introducing market makers reduces the spread, which in the original model was unrealistically large. In particular, we calculate the exact rate at which market makers need to place orders in order to close the spread completely. If this rate is exceeded, we show that the price settles at a random level that, in general, does not correspond to the Walrasian equilibrium price.
result_subspec WOS
RIV BA
FORD0 10000
FORD1 10100
FORD2 10101
reportyear 2019
num_of_auth 2
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0289345
cooperation
ARLID cav_un_auth*0300034
name Karlova Univerzita v Praze
institution UK
country CZ
confidential S
mrcbC86 3+4 Article Statistics Probability
mrcbT16-e STATISTICSPROBABILITY
mrcbT16-j 0.6
mrcbT16-s 0.523
mrcbT16-B 34.82
mrcbT16-D Q3
mrcbT16-E Q3
arlyear 2018
mrcbU14 85056772335 SCOPUS
mrcbU24 PUBMED
mrcbU34 000450285700001 WOS
mrcbU63 cav_un_epca*0256875 Journal of Applied Probability 0021-9002 1475-6072 Roč. 55 č. 3 2018 667 681 Cambridge University Press