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Exact Solution to Two-Body Financial Dealer Model: Revisited from the Viewpoint of Kinetic Theory
The two-body stochastic dealer model is revisited to provide an exact solution to the average order-book profile using the kinetic approach. The dealer model is a microscopic financial model where individual traders make decisions on limit-order prices stochastically and then reach agreements on tra...
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Published in: | Journal of statistical physics 2023-01, Vol.190 (1), Article 8 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The two-body stochastic dealer model is revisited to provide an exact solution to the average order-book profile using the kinetic approach. The dealer model is a microscopic financial model where individual traders make decisions on limit-order prices stochastically and then reach agreements on transactions. In the literature, this model was solved for several cases: an exact solution for two-body traders
N
=
2
and a mean-field solution for many traders
N
≫
1
. Remarkably, while kinetic theory plays a significant role in the mean-field analysis for
N
≫
1
, its role is still elusive for the case of
N
=
2
. In this paper, we revisit the two-body dealer model
N
=
2
to clarify the utility of the kinetic theory. We first derive the exact master-Liouville equations for the two-body dealer model. We next illustrate the physical picture of the master-Liouville equation from the viewpoint of the probability currents. The master-Liouville equations are then solved exactly to derive the order-book profile and the average transaction interval. Furthermore, we introduce a generalised two-body dealer model by incorporating interaction between traders via the market midprice and exactly solve the model within the kinetic framework. We finally confirm our exact solution by numerical simulations. This work provides a systematic mathematical basis for the econophysics model by developing better mathematical intuition. |
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ISSN: | 0022-4715 1572-9613 |
DOI: | 10.1007/s10955-022-03022-1 |