In order to solve environmental problems such as air pollution, China has tried to carry out carbon emission trading market. For the sake of improving the risk management ability of the carbon emission trading market and make reasonable policies, it is very important to analyze and forecast the price of the carbon emission trading market. Considering that a single model has many self-limitations, in order to ensure that the predicted results can better match the actual situation, this paper adopts the combination model of ARIMA and LSTM to study the carbon emission trading price. Based on the reasonable prediction of carbon emission trading price of Shanghai Stock Exchange in recent years, the results show that ARIMA and LSTM can well combine their mutual advantages, effectively improve the accuracy of prediction, and provide certain guarantee for the sound development of carbon emission trading market.

Shurong Dong, Xinyue Zhang. Carbon Trading Price Forecast Based on LSTM and ARIMA—Take the Shanghai Area for Example. Academic Journal of Business & Management (2022) Vol. 4, Issue 11: 33-38. https://doi.org/10.25236/AJBM.2022.041106.

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