Selecting appropriate methodological framework for time series data analysis

Economists face method selection problem while working with time series data. As time series data may possess specific properties such as trend and structural break, common methods used to analyze other types of data may not be appropriate for the analysis of time series data. This paper discusses t...

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Bibliographic Details
Main Authors: Min B. Shrestha, Guna R. Bhatta
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2018-06-01
Series:Journal of Finance and Data Science
Online Access:http://www.sciencedirect.com/science/article/pii/S2405918817300405
Description
Summary:Economists face method selection problem while working with time series data. As time series data may possess specific properties such as trend and structural break, common methods used to analyze other types of data may not be appropriate for the analysis of time series data. This paper discusses the properties of time series data, compares common data analysis methods and presents a methodological framework for time series data analysis. The framework greatly helps in choosing appropriate test methods. To present an example, Nepal's money–price relationship is examined. Test results obtained following this methodological framework are found to be more robust and reliable. Keywords: Time series analysis, Unit root test, Methodological framework, Money–price relationship in Nepal
ISSN:2405-9188