کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
976525 1480119 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Gold price analysis based on ensemble empirical model decomposition and independent component analysis
ترجمه فارسی عنوان
تجزیه و تحلیل قیمت طلا بر اساس تجزیه و تحلیل مدل تجربی گروه و تحلیل مولفه مستقل
کلمات کلیدی
تجزیه مدل تجربی گروه ؛ تجزیه و تحلیل جزء مستقل؛ قیمت طلا
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی


• We propose a new improved model based on EEMD and ICA.
• We decompose gold price into statistically independent components (ICs).
• The regression analysis is used to analyze the economic meanings of different ICs.
• The proposed model is effective in the identification of main influencing factors for gold price movement.

In recent years, the increasing level of volatility of the gold price has received the increasing level of attention from the academia and industry alike. Due to the complexity and significant fluctuations observed in the gold market, however, most of current approaches have failed to produce robust and consistent modeling and forecasting results. Ensemble Empirical Model Decomposition (EEMD) and Independent Component Analysis (ICA) are novel data analysis methods that can deal with nonlinear and non-stationary time series. This study introduces a new methodology which combines the two methods and applies it to gold price analysis. This includes three steps: firstly, the original gold price series is decomposed into several Intrinsic Mode Functions (IMFs) by EEMD. Secondly, IMFs are further processed with unimportant ones re-grouped. Then a new set of data called Virtual Intrinsic Mode Functions (VIMFs) is reconstructed. Finally, ICA is used to decompose VIMFs into statistically Independent Components (ICs). The decomposition results reveal that the gold price series can be represented by the linear combination of ICs. Furthermore, the economic meanings of ICs are analyzed and discussed in detail, according to the change trend and ICs’ transformation coefficients. The analyses not only explain the inner driving factors and their impacts but also conduct in-depth analysis on how these factors affect gold price. At the same time, regression analysis has been conducted to verify our analysis. Results from the empirical studies in the gold markets show that the EEMD–ICA serve as an effective technique for gold price analysis from a new perspective.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 454, 15 July 2016, Pages 11–23
نویسندگان
, , ,