Statistical Facts of Artificial Stock Market

The price emerged by the agent’s interactions is calculated by the excess demand in
each round, i.e.:
⎟
⎠
⎞ ⎜
⎝
⎛ ∆ = + − = ∑
N
i
i
t p p t p t x
1 ( ) ( 1) ( ) λ …(5)
where λ is the market depth or liquidity, the excess demand needed to move the price
by one unit. The market depth measures the sensitivity of price to fluctuations in excess
demand (Cont & Bouchaud, 2000).
As a summary of the model overview, we can see table 1 showing the value of
variables used in simulations.
Table 1
Initial Simulation Configuration
Parameters Value
Number of iteration 10,000
Number of agent (investor) 200
Formation fundamentalist-chartist-noisy 42-109-49
Chartist (h=30) – (h=60) – (h=100) 46-33-30
Stock owned by each agent 10
Money owned by each agent IDR 20,000
Market Depth (1/ λ ) 10
Basic price each stock IDR 5,000

1. Simulation Results
   We do several simulations in our artificial stock market in order to have some
   understanding points of what we discover in previous work on statistical properties of
   Figure 1
   The simulation result compared to the real normalized hourly price data of a dominant indivi