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SABCEMM-A Simulation Framework for Agent-Based Computational Economic Market Models. (arXiv:1801.01811v1 [q-fin.CP])

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We introduce the simulation tool SABCEMM (Simulate Agent-Based Computational Economic Market Models) for agent-based computational economic market (ABCEM) models. Our simulation tool is implemented in C++ and we can easily run ABCEM models with up to several million agents. Thanks to the object-oriented software design, this tool enables the user to design and compare multiple ABCEM models from a unified perspective. Thus, one can easily change the market mechanism or agent types. This makes it possible to quantitatively compare ABCEM models e.g. regarding the ability of each model to reproduce stylized facts. We present a qualitative study of three known ABCEM models and several variants of those. Furthermore, we discuss finite-size effects and time discretizations of ABCEM models. Finally, we show the great impact of different random number generators on the run time of ABCEM models and even on the qualitative output of the model. The code can be downloaded from GitHub https://github.com/SABCEMM/SABCEMM, such that all results can be reproduced by the reader


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