Risk Factors’ Analysis on Shanghai Carbon Trading
First of all, the carbon trading price and trading volume in Shanghai are transformed by Fourier transform, and the frequency response diagram is obtained. Then, the frequency response diagram is analyzed and the Blackman filter is designed. The Blackman filter is used to filter, and the carbon trading time domain and frequency response diagram are obtained. After wavelet analysis, the carbon trading data were processed; respectively, we got the average value for each 5 days, 10 days, 20 days, 30 days, and 60 days. Finally, the data are used as input of the Back Propagation Neural Network model for prediction.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1132753Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF
 Wang Sihui. Analysis of Futures Copper Price Forecast Based on Wavelet Transform (D). Jinan University of Finance, 2015,5.
 Du Li, Wang Li, Zhang Yun. Carbon financial transaction risk: Measurement and Prevention (J). Economic Management, vol.36, No.4, Apr., 2014.
 Sun Zhaodong. Risks of Trading Market in Carbon Finance and Their Controls in China (D). Ji Lin University, 2015,6.
 Wang Tingting, Zhang Yali, Wang Miaohan. A Research on the Risk Measurement of China’s Carbon Financial Market (J). Financial Forum, 2016, (9): 57-68.
 Zhuang Dedong. A study on the EU carbon market dependence structure and risk spillover effect on price fluctuations of carbon emissions (D). South China University of Technology, 2014,6.
 Gao Yang, Li Jian. International carbon finance market price prediction based on EMD-PSO-SVM error correction model (J). China population, resources and environment, vol.24, No.6, 2014, pp: 163-170.
 Wang Wenting. Research on price discovery and price-volume relation of European carbon emission market (D). Nanjing University of Aeronautics and Astronautics, 2012, 3.
 Wang Fei. Carbon environmental efficiency and influence factors analysis of Yangtze River Delta region based on DEA method. Hefei University of Technology, 2015, 4.
 Zhao Ming. The analysis of the impact of urbanization on carbon emission in Shanghai (D). Hefei University of Technology, 2012, 4.
 Zhang Yun. The research on price mechanism of carbon financial trading in China (D). Jilin University, 2015, 6.