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Quality & Quantity

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18.06.2018

On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX

verfasst von: Chinnadurai Kathiravan, Murugesan Selvam, Desti Kannaiah, Kasilingam Lingaraja, Vadivel Thanikachalam

Erschienen in: Quality & Quantity | Ausgabe 2/2019

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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.

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Titel: On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX
verfasst von: Chinnadurai Kathiravan
Murugesan Selvam
Desti Kannaiah
Kasilingam Lingaraja
Vadivel Thanikachalam
Publikationsdatum: 18.06.2018
Verlag: Springer Netherlands
Erschienen in: Quality & Quantity / Ausgabe 2/2019
Print ISSN: 0033-5177
Elektronische ISSN: 1573-7845
DOI: https://doi.org/10.1007/s11135-018-0782-x

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