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 modelsfrom 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 URL such that all results can be reproduced by the reader 
We introduce the simulation tool SABCEMM ( Simulator for 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 several million agents. The object-oriented software design enables the isolated implementation of building blocks for ABCEM models, such as agent types and market mechanisms. The user can design and compare ABCEM models in a unified environment by recombining existing building blocks using the XML-based SABCEMM configuration file. We introduce an abstract ABCEM model class which our simulation tool is built upon . Furthermore, we present the software architecture as well as computational aspects of SABCEMM. Here, we focus on the efficiency of SABCEMM with respect to the run time of our simulations. We show the great impact of different random number generators on the run time of ABCEM models . The code and documentation is published on GitHub at URL such that all results can be reproduced by the reader .
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, this tool enables the user to design and compare multiple ABCEM modelsfrom a unified perspective. Thus, one can easily change the market mechanism or agent types . This makes it possible to quantitatively
enables the isolated implementation of building blocks for ABCEM models, such as agent types and market mechanisms. The user can design and
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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
in a unified environment by recombining existing building blocks using the XML-based SABCEMM configuration file. We introduce an abstract ABCEM model class which our simulation tool is built upon
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discuss finite-size effects and time discretizations of ABCEM models. Finally, we
present the software architecture as well as computational aspects of SABCEMM. Here, we focus on the efficiency of SABCEMM with respect to the run time of our simulations. We
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can be downloaded from GitHub
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