The collective phenomena of a liquid market is characterized in terms of a particle system scenario. This physical analogy enables us to disentangle intrinsic 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 temperature. The remaining intrinsic properties can be widely investigated by applying standard methods of classical many-body systems. As an example, we consider a large set of stocks traded at the NYSE and determine the corresponding asset-asset 'interaction' potential. In order to investigate in more detail the cluster structure suggested by the short distance behavior of the interaction potential, we perform a connectivity analysis of the spatial distribution of the particle system. In this way, we are able to draw conclusions on the intrinsic cluster persistency independent of the specific market conditions. © 2001 Elsevier Science B.V. All rights reserved.
Cuniberti, G., Porto, M., Roman, H. (2001). Asset-asset interactions and clustering in financial markets. Intervento presentato a: Application of Physics in Economic Modelling (NATO ARW), Prague, cze [10.1016/S0378-4371(01)00304-1].
Asset-asset interactions and clustering in financial markets
Roman H. E.
2001
Abstract
The collective phenomena of a liquid market is characterized in terms of a particle system scenario. This physical analogy enables us to disentangle intrinsic 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 temperature. The remaining intrinsic properties can be widely investigated by applying standard methods of classical many-body systems. As an example, we consider a large set of stocks traded at the NYSE and determine the corresponding asset-asset 'interaction' potential. In order to investigate in more detail the cluster structure suggested by the short distance behavior of the interaction potential, we perform a connectivity analysis of the spatial distribution of the particle system. In this way, we are able to draw conclusions on the intrinsic cluster persistency independent of the specific market conditions. © 2001 Elsevier Science B.V. All rights reserved.
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