On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX
Chinnadurai Kathiravan (),
Kasilingam Lingaraja and
Additional contact information
Murugesan Selvam: Bharathidasan University
Desti Kannaiah: James Cook University
Kasilingam Lingaraja: Bharathiar University
Vadivel Thanikachalam: Bharathidasan University
Quality & Quantity: International Journal of Methodology, 2019, vol. 53, issue 2, 667-683
Abstract This paper proposes to investigate the Co Movement and Causal Relationship, among the three weather factors (temperature, humidity, and wind speed) and the returns of the Agriculture Commodity Index called Dhaanya, in India. The study employed the secondary daily data of weather in five sample cities (Chennai, Mumbai, Delhi, Kolkata and Hyderabad), and Agriculture Commodity Index called Dhaanya, in India. Statistical tools like Descriptive Statistics, Unit Root, Correlation Matrix, and Granger Causality Test were employed. This study found that the temperature and wind speed influenced the investors’ mood in Chennai and Mumbai, in respect of Agriculture Commodity Index, namely Dhaanya. The findings of this study would help the investors in making investment decisions rationally, on the basis of weather condition.
Keywords: Weather factors; NCDEX; Descriptive statistics; Unit root test; Correlation matrix; Granger causality test (search for similar items in EconPapers)
JEL-codes: F65 G02 C1 C58 N2 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://link.springer.com/10.1007/s11135-018-0782-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0782-x
Ordering information: This journal article can be ordered from
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla ().