2012 ©
             Publication
Journal Publication
Research Title Adaptive Moving Polynomial Least Squares Method for Forecasting the Monthly Gold Price  
Date of Distribution 2 May 2018 
Conference
     Title of the Conference The 9th International Science, Social Science, Engineering and Energy Conference  
     Organiser Kasem Bundit University 
     Conference Place Ambassador Hotel Bangkok, Bangkok, Thailand  
     Province/State Bangkok, Thailand  
     Conference Date 2 May 2018 
     To 4 May 2018 
Proceeding Paper
     Volume
     Issue
     Page 447-457 
     Editors/edition/publisher Kasem Bundit University 
     Abstract The authors proposed an adaptive moving polynomial least square method (AMPLS) for forecasting the gold price. The authors used the monthly gold price data from August 2005 to January 2018 and separated them into two parts. The first part, August 2005 to April 2014, was considered for training; and the rest was used for testing the performance of our method. The authors found that the AMPLS of 7 months and 30 months were optimal lengths that caused the minimum of square error and maximum of correct direction, respectively. In addition, this proposed method is better than the moving average method by using the same criteria.  
Author
595020089-5 Miss WAEWTA LUANGBOON [Main Author]
Science Master's Degree

Peer Review Status ไม่มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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