Platform design for large-scale artificial market simulation and preliminary evaluation on the K computer

Author:

Torii Takuma,Kamada Tomio,Izumi Kiyoshi,Yamada Kenta

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,General Biochemistry, Genetics and Molecular Biology

Reference11 articles.

1. Chiarella C, Iori G (2002) A simulation analysis of the microstructure of double auction markets. Quant Finance 2:346–353

2. Darley V, Outkin AV (2007) A NASDAQ market simulation: insights on a major market from the science of complex adaptive systems. World Scientific, NJ, USA

3. Kawakubo S, Izumi K, Yoshimura S (2014) Analysis of an option market dynamics based on a heterogeneous agent model. Intell Syst Acc Finance Manag 21(2):105–128

4. Mizuta T, Hayakawa S, Izumi K, Yoshimura S (2013) Simulation study on effects of tick size difference in stock markets competition. In: Proceedings of the 8th international workshop on agent-based approach in economic and social complex systems (AESCS2013), pp 235–246

5. Mizuta T, Noritake Y, Hayakawa S, Izumi K (2015) Impacts of speed-up of market system on price formations using artificial market simulations. Working Paper 9, Japan Exchange Group (JPX)

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