The collective phenomena of a liquid market is characterized in terms of a
particle system scenario. This physical analogy enables us to disentangle i
ntrinsic features from purely stochastic ones. The latter are the result of
environmental changes due to a 'heat bath' acting on the many-asset system
, quantitatively described in terms of a time dependent effective temperatu
re. The remaining intrinsic properties can be widely investigated by applyi
ng standard methods of classical many-body systems. As an example, we consi
der a large set of stocks traded at the NYSE and determine the correspondin
g asset-asset 'interaction' potential. In order to investigate in more deta
il the cluster structure suggested by the short distance behavior of the in
teraction potential, we perform a connectivity analysis of the spatial dist
ribution of the particle system. In this way, we are able to draw conclusio
ns on the intrinsic cluster persistency independent of the specific market
conditions. (C) 2001 Elsevier Science B.V. All rights reserved.