Forecasting Iron Ore Freight Rates Based on Wavelet Analysis

Abstract

Abstract: Based on the advantage of the wavelet analysis for non-stationary time series forecasting, this thesis presented multiresolution analysis theory as well as detecting singularity for time series, then made static and dynamic estimation of the processed high and low frequency data by using the autoregressive moving average(ARMA) model and Holt-Winters-No Seasonal with the software of AMTLAB and EVIEWS. The results show that the wavelet analysis in non-stationary time series prediction has a great advantage.

Key words: iron ore, freight rates forecast, wavelet analysis, autoregressive moving average(ARMA) model

CLC Number:

U 695.2

ZHAO Fu-Jie, XIE Xin-Lian. Forecasting Iron Ore Freight Rates Based on Wavelet Analysis[J]. Journal of Shanghai Jiaotong University, 2013, 47(02): 295-299.

References

［1］Nener B D，RidsdillSmith T A，Zeisse C.Wavelet analysis of low altitude infrared transmission in the coastal environment［J］. Infrared Physics & Technology,1999,40(5): 399409.

［2］Clemen T. The use of scale information for integrating simulation models into environmental information systems ［J］. Ecological Modeling,1998, 108(1): 107113.

［3］吴学森,王洁贞,张娜.小波分析在建立季节性趋势时间序列预测模型中的应用研究［J］. 数理医药学杂志,2005,18（3）:196198.〖HJ〗

WU Xueshen, WANG Jiezhen, ZHANG Na. The application of wavelet analysis in establish seasonal trend time series prediction［J］. Journal of Mathematical Medicine,2005,18（3）:196198.

［4］黄大荣, 宋军.基于ARMA和小波变换的交通流预测模型研究［J］. 计算机工程与应用,2006,48(36):191195.

HUANG Darong, SONG Jun. Forecasting model of traffic flow based on ARMA and wavelet transform［J］. Computer Engineering and Applications, 2006,48(36):191195.

［5］FENG Jinqiao,SHEN Liping,ZHANG Lidong,et al. Combined method for traffic incident detection based on wavelet analysis and catastrophic theory［J］. Intelligent Control and Automation (WCICA),2010,8(7):56045609.

［6］Mallat S. A theory for multiresolution signal decomposition: The wavelet representation ［J］. Pattern Analysis and Machine Intelligence,1989, 11(7):674693.

［7］林海龙, 王庆明. 基于小波分析的切削力信号奇异性检测［J］. 工具技术,2011,45(6):103105.

LIN Hailong，WANG Qingming.Application of wavelet analysis in cutting force signal singularity detection［J］. Tool Engineering, 2011,45(6):103105.

［8］陈小莉, 郭静, 田茂.小波分析在穿墙雷达回波奇异性检测的应用［J］. 武汉大学学报(理学版), 2010,56(4):487490.

CHEN Xiaoli，GUO Jing，TIAN Mao. Application of wavelet analysis in detection of signal singularity of throughthewall radar echo［J］. Journal of Wuhan University(Natural Science Edition)， 2010,56(4):487490.

［9］廖雯竹, 潘尔顺, 王莹, 等.统计模式识别和自回归滑动平均模型在设备剩余寿命预测中的应用［J］. 上海交通大学学报, 2011,45(7):10001004.

LIAO Wenzhu,PAN Ershun,WANG Ying,et al. Research of predicting machines remaining useful life based on statistical pattern recognition and autoregressive and moving average model［J］.

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