Title
Analyzing China'S Ofdi Using A Novel Multivariate Grey Prediction Model With Fourier Series
Abstract
Purpose With the development of economy, China's OFDI constantly increase in recent year. Meanwhile, OFDI has spillover effect on economic development and technological development of home country. Thus, accurate OFDI prediction is a prerequisite for the effective development of international investment strategies. The purpose of this paper is to predict China's OFDI accurately using a novel multivariable grey prediction model with Fourier series. Design/methodology/approach This paper applied a multivariable grey prediction model, GM(1,N), to forecast China's OFDI. In order to improve the prediction accuracy and without changing local characteristics of grey model prediction, this paper proposed a novel grey prediction model to improve the performance of the traditional GM(1,N) model by combining with residual modification model using GM(1,1) model and Fourier series. Findings The coefficients indicate that the export and GDP have positive influence on China's OFDI, and, according to the prediction result, China's OFDI shows a growing trend in next five years. Originality/value This paper proposed an effective multivariable grey prediction model that combined the traditional GM(1,N) model with a residual modification model in order to predict China's OFDI. Accurate forecasting of OFDI provides reference for the Chinese Government to implement international investment strategies.
Year
DOI
Venue
2019
10.1108/IJICC-07-2018-0095
INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS
Keywords
Field
DocType
OFDI, Fourier series, Grey prediction, Residual modification, GM(1, N)
Econometrics,Residual,Mathematical optimization,Multivariable calculus,Computer science,Investment strategy,Multivariate statistics,China,Fourier series,Spillover effect,Gray (horse)
Journal
Volume
Issue
ISSN
12
3
1756-378X
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Jiang Hang122.61
Yi-Chung Hu249536.67
Jan-Yan Lin300.34
Peng Jiang41164.57