KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/44666
Title: | Incorporation of Exogenous Variable in Long Memory Model: An ARFIMAX-GARCH Framework |
Other Titles: | Not Available |
Authors: | Krishna Pada Sarkar K. N. Singh Achal Lama Bishal Gurung |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2020-10-01 |
Project Code: | Not Available |
Keywords: | Long memory ARFIMA ARFIMAX ARFIMAX-GARCH Forecasting |
Publisher: | Not Available |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | In the present study exogenous variable is incorporated in the long memory model to give better forecast of time series. Autoregressive Fractionally Integrated Moving Average- Generalized Autoregressive Conditional Heteroscedastic (ARFIMA-GARCH) and Autoregressive Fractionally Integrated Moving Average with exogenous variable- Generalized Autoregressive Conditional Heteroscedastic (ARFIMAX-GARCH) models are studied for describing the volatile data. Brief description of the models are given along with parameter estimation procedure. As an illustration daily minimum market price of onion along with daily market arrival of Lasalgaon market of Maharashtra, India is taken. Comparative study of the fitted model is carried out by calculating the Root Mean Square Error (RMSE) and Relative Mean Absolute Percentage Error (RMAPE) from the validation set. The superior performance of the ARFIMAX-GARCH model than ARFIMA-GARCH model is demonstrated for data under study |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of the Indian Society of Agricultural Statistics |
NAAS Rating: | 5.51 |
Volume No.: | 74(2) |
Page Number: | 99-106 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | Not Available |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/44666 |
Appears in Collections: | AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2-Krishna.pdf | 782.11 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.