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Rahim Mahmoudvand

Rahim Mahmoudvand

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35146363700
HIndex:
Faculty: Faculty of Science
Address:
Phone:

Research

Title
A new approach for the vector forecast algorithm in singular spectrum analysis
Type
JournalPaper
Keywords
Singular spectrum analysis, Vector forecast algorithm, Time series forecasting, Stock markets
Year
2020
Journal COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
DOI
Researchers Paulo Rodrigues ، Rahim Mahmoudvand

Abstract

The window length, L, is the first parameter that must be specified in Singular Spectrum Analysis (SSA) for time series analysis. A large window length has a potential to produce a good model fit, but it is unlikely to produce a parsimonious forecasting model. In this paper, we propose a new parsimonious vector forecasting model which uses an optimal m (