The Study of Sino-Russian Trade Forecasting Based on the Improved Grey Prediction Model

Zhen-zhong Zhang (), Shuang Liu and Li-xia Tian
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Zhen-zhong Zhang: North China Electric Power University
Shuang Liu: North China Electric Power University
Li-xia Tian: North China Electric Power University

Chapter Chapter 66 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 637-644 from Springer

Abstract: Abstract In this paper, we improved the traditional GM (1,1) model with the other-dimensional gray-scale by-ways, which has a higher accuracy, and predicted the Sino-Russian future trade. First of all, we introduced the theory of GM (1,1) grey and GM (1,1) grey equidimensional filling vacancies. Secondly, we established GM (1,1) grey forecasting model of equidimensional filling vacancies by using the trade volume between China and Russia from 2000 to 2011. Then, we forecasted the Sino-Russian trade in 2012. At the end of the paper, we analyzed the forecast results, and we found that Sino Russian trade still has very large development space.

Keywords: GM (1; 1); Grey forecasting model of equidimensional filling vacancies; Grey theory; Sino-Russian trade forecasting (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_66

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DOI: 10.1007/978-3-642-38391-5_66

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