Selecting appropriate methodological framework for time series data analysis

التفاصيل البيبلوغرافية
العنوان: Selecting appropriate methodological framework for time series data analysis
المؤلفون: Min B. Shrestha, Guna Raj Bhatta
المصدر: Journal of Finance and Data Science, Vol 4, Iss 2, Pp 71-89 (2018)
بيانات النشر: KeAi Communications Co., Ltd., 2018.
سنة النشر: 2018
مصطلحات موضوعية: Statistics and Probability, Economics and Econometrics, Computer science, 020209 energy, Structural break, 02 engineering and technology, computer.software_genre, Data type, lcsh:QA75.5-76.95, 0502 economics and business, lcsh:Finance, lcsh:HG1-9999, 0202 electrical engineering, electronic engineering, information engineering, Time series, 050208 finance, Time series data analysis, Applied Mathematics, 05 social sciences, Computer Science Applications, Test (assessment), Method selection, Face (geometry), Data analysis, Business, Management and Accounting (miscellaneous), Data mining, lcsh:Electronic computers. Computer science, computer, Finance
الوصف: 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
اللغة: English
تدمد: 2405-9188
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f262e1120db1362977a5fbb978607c79
http://www.sciencedirect.com/science/article/pii/S2405918817300405
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....f262e1120db1362977a5fbb978607c79
قاعدة البيانات: OpenAIRE