30 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial Articles uri icon

publication date

  • October 2021

start page

  • 1333

end page

  • 1337

issue

  • 4

volume

  • 37

International Standard Serial Number (ISSN)

  • 0169-2070

Electronic International Standard Serial Number (EISSN)

  • 1872-8200

abstract

  • The seed of this special section was the workshop celebrated at FUNCAS in Madrid in February 2019 "30 Years of Cointegration and Dynamic Factor Models Forecasting and its Future with Big Data". In this editorial, we describe the main contributions of the 13 papers published within the special section towards forecasting in the context of non- stationary Big Data using cointegration or Dynamic Factor Models.

subjects

  • Economics
  • Statistics

keywords

  • big data; cointegration; dynamic factor models; kalman filter; machine learning; non-stationary large systems; principal components