Gold has multiple attributes and its price is affected by various factors in the market. This paper studies the dynamic relationship between the gold price returns and its affecting factors. Then we use the STL-ETS, neural network and Bayesian structural time series model to predict the gold...

The numerous literatures have recorded the closely connection across commodity and stock markets. This study empirically examines the role of 7 metal commodities (gold, silver, aluminum, plumbum, copper, zinc and nickel) in predicting G7 stock volatility. The results of individual factor...

Using Thailand stock market data, we find that prospect theory has strong predictive power for returns in the Thailand stock market. This predictive power is strengthened during crises and bear and bull markets. The loss aversion component is the main contributor to the increased predictive...