Simulating the dynamics of silver market using computational market dynamics
Anjum, Muhammad (2015)
Diplomityö
Anjum, Muhammad
2015
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201502021321
https://urn.fi/URN:NBN:fi-fe201502021321
Tiivistelmä
Traditional econometric approaches in modeling the dynamics of equity and commodity
markets, have, made great progress in the past decades. However, they
assume rationality among the economic agents and and do not capture the dynamics
that produce extreme events (black swans), due to deviation from the rationality
assumption. The purpose of this study is to simulate the dynamics of silver markets
by using the novel computational market dynamics approach. To this end, the daily
data from the period of 1st March 2000 to 1st March 2013 of closing prices of spot
silver prices has been simulated with the Jabłonska-Capasso-Morale(JCM) model.
The Maximum Likelihood approach has been employed to calibrate the acquired
data with JCM. Statistical analysis of the simulated series with respect to the actual
one has been conducted to evaluate model performance. The model captures
the animal spirits dynamics present in the data under evaluation well.
markets, have, made great progress in the past decades. However, they
assume rationality among the economic agents and and do not capture the dynamics
that produce extreme events (black swans), due to deviation from the rationality
assumption. The purpose of this study is to simulate the dynamics of silver markets
by using the novel computational market dynamics approach. To this end, the daily
data from the period of 1st March 2000 to 1st March 2013 of closing prices of spot
silver prices has been simulated with the Jabłonska-Capasso-Morale(JCM) model.
The Maximum Likelihood approach has been employed to calibrate the acquired
data with JCM. Statistical analysis of the simulated series with respect to the actual
one has been conducted to evaluate model performance. The model captures
the animal spirits dynamics present in the data under evaluation well.