Research Article Open Access

Advanced Multivariate Time Series Forecasting Models

Miss Lei Wang1
  • 1 Wichita State University, United States

Abstract

In this study, the focus is to collect and summarize various advanced forecasting models for multivariate time series dataset. We have discussed about the inherent forecasting strengths and weaknesses related to these time series modelings. Also, the main section deal with the experience of using such data in econometric analysis. Besides, the implementation of SAS and R softwares improve the parameter estimation and forecasting accuracy. Eventually, we evaluated these forecasting models by different criterions and select the best one for the future tendency of land market value.

Journal of Mathematics and Statistics
Volume 14 No. 1, 2018, 253-260

DOI: https://doi.org/10.3844/jmssp.2018.253.260

Submitted On: 27 October 2018 Published On: 21 December 2018

How to Cite: Wang, M. L. (2018). Advanced Multivariate Time Series Forecasting Models. Journal of Mathematics and Statistics, 14(1), 253-260. https://doi.org/10.3844/jmssp.2018.253.260

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Keywords

  • Advanced Forecasting Model
  • Macroeconomic Variables
  • Multivariate Time Series Analysis