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Modeling Asymmetric Volatility: A News Impact Curve Approach

Authors :
Debopam Rakshit
Ranjit Kumar Paul
Md Yeasin
Walid Emam
Yusra Tashkandy
Christophe Chesneau
Source :
Mathematics, Vol 11, Iss 13, p 2793 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Seasonal production, weather abnormalities, and high perishability introduce a high degree of volatility to potato prices. Price volatility is said to be asymmetric when positive and negative shocks of the same magnitude affect it in a dissimilar way. GARCH is a symmetric model, and it cannot capture asymmetric price volatility. EGARCH, APARCH, and GJR-GARCH models are popularly used to capture asymmetric price volatility. In this paper, an attempt is made to model the price volatility of the weekly wholesale modal price of potatoes for the Agra, Ahmedabad, Bengaluru, Delhi, Kolkata, and Mumbai markets using the above-mentioned models. The News Impact Curves (NICs) are derived from the fitted models, which confirmed the presence of asymmetry in the price volatility. To this end, NICs are used to describe the degree of asymmetry in volatility present in different markets.

Details

Language :
English
ISSN :
22277390
Volume :
11
Issue :
13
Database :
Directory of Open Access Journals
Journal :
Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.31f46c6bdf4440ca9d31b93964c96032
Document Type :
article
Full Text :
https://doi.org/10.3390/math11132793