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Calibrating emergent phenomena in stock markets with agent based models
2018
PLoS ONE
Since the 2008 financial crisis, agent-based models (ABMs), which account for out-of-equilibrium dynamics, heterogeneous preferences, time horizons and strategies, have often been envisioned as the new frontier that could revolutionise and displace the more standard models and tools in economics. However, their adoption and generalisation is drastically hindered by the absence of general reliable operational calibration methods. Here, we start with a different calibration angle that qualifies
doi:10.1371/journal.pone.0193290
pmid:29499049
pmcid:PMC5834198
fatcat:o75ygmifvrbzndjvpurmofur4u