Interrelationship between Rainfall Index and Nifty Index: An Empirical Study

Mr. Dileep N and Dr. G. Kotreshwar

International Journal of Economics & Business Administration (IJEBA), 2023, vol. XI, issue 1, 95-106

Abstract: Purpose: The proposed study is an attempt to determine whether a relationship exists between rainfall index and NSE Nifty index. Design/Methodology/Approach: The study used the monthly mean rainfall data and monthly closing price of Nifty index. The study applied Augmented Dickey-Fuller (ADF) test, correlation analysis, the GARCH (1,1) model, and the Granger Causality test to analyse the interrelationship. Findings: The results of correlation matrix show that there is no interrelationship between the two variables. The GARCH (1,1) model found that the NSE Nifty index is not affected by the rainfall index and Granger Causality test displays that rainfall index does not Granger Cause the Nifty index. Practical implications: As a result, this rainfall index is potentially a distinct and unique asset worth considering portfolio investment strategy. Further studies can be conducted to know the interrelationship between the rainfall index and the other stock indices or any other financial indices. Originality value: According to the authors' knowledge, this is the first empirical study to determine the interrelationship between the rainfall index and the Nifty Index over a longer period of time.

Keywords: Rainfall index; NSE Nifty index; GARCH (1; 1) model; Granger Causality test and Distinct asset. (search for similar items in EconPapers)
JEL-codes: Q50 Q54 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ijeba.com/journal/800/download (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ers:ijebaa:v:xi:y:2023:i:1:p:95-106

Access Statistics for this article

More articles in International Journal of Economics & Business Administration (IJEBA) from International Journal of Economics & Business Administration (IJEBA)
Bibliographic data for series maintained by Marios Agiomavritis ().