This research aimed to study the factors affecting return of gold futures in Thailand futures exchange. The study used the daily historical data of five years from January 1 2011 - December 31 2015. There were five factors to be used in the study. They were Interbank Rate Set Index Exchange World Crude Oil Price and Gold Price and Used the Descriptive statistics to test the basic data and the Multiple Regression Analysis to test the hypothesis. The study found that the Interbank Rate Set Index Exchange Rate World Crude Oil Price and Gold Price were able to forecast the Coefficient of Determination (R2) approximately at 0.617. It showed that the independent variables in the model could explain the change of dependent variable at 61.70% and found that the most affecting factors on return of gold futures were Gold Price and Interbank rate by having the same directional relationship with the return of the Gold Futures in the Thailand Futures Exchange.

This study examined Factors Affecting Price’s Fluctuation of the SET50 Index Futures in Thailand Derivative Market during the Year 2011 – 2015. The objective was to study all of the factors which was affecting SET50 Index Futures’s fluctuation. According to daily closing price data of SET50 Index Future used for computing continuous return the period before the maturity and the volume of SET50 Index Futures were calculated the fluctuation by using GARCH (11). The results show that the data and fluctuation in the past affected the data and fluctuation in the present by the same direction considerated by the coefficient in ARCH and GARCH term of GARCH Model (11). The period before the maturity affected the return rate by the opposite direction which means the return rates had much more fluctuation when the period of time closed to the contract maturity. It showed that the coefficient of the period before the maturity was quite less than the one of ARCH and GARCH. Therefore the fluctuation of return rate in the present was possibly depended on data and the period of fluctuation in the past more than the period before the maturity. The remainder of the study can give information to the investors that they should be concerned not only about data and fluctuation in the past but the period before the maturity of SET50 index futures which may affect the forecast of SET50 index futures price for Hedge management. Thailand Future Exchange should be considered to adjust proper risk margin inaccordance with fluctuation rate in a period of time.