Simulation aiming to research whether the Copernicus-Gresham's law defined by Nikolas Copernicus (in some shape or form) holds in a multi-currency market. The model is described in depth on my website.
python \.simulate.py --population_size 1000
--number_of_countries 4
--number_of_currencies 4
--even_countries_currencies_spread True
--number_of_transactions 100
--number_of_episodes 500
--figure_convolution_window_size 10
--save_figure False
--verbose True
--increase_weakest_currency True
--alpha 2
--beta 0.5
--gamma 0.3856
--delta 1.5
--epsilon 0.5
--zeta 10
or type
python \.simulate.py --help
for additional information.
The willingness of people to make a transaction with a foreigner (gamma
) makes sense to be equal to (100% - 61.44%) / 61.44% = 0.6276
since 61.44%
this is the average Trade Openness Index (sum of exports and imports compared to GDP.)