On the relationship between weather and Agricultural Commodity Index in India: a study with reference to Dhaanya of NCDEX
| Autor: | Kasilingam Lingaraja, Desti Kannaiah, Chinnadurai Kathiravan, Murugesan Selvam, Vadivel Thanikachalam |
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| Rok vydání: | 2018 |
| Předmět: |
Statistics and Probability
Index (economics) Descriptive statistics business.industry 020209 energy 05 social sciences Commodity 050401 social sciences methods General Social Sciences 02 engineering and technology Wind speed Agricultural economics Geography Investment decisions 0504 sociology Granger causality Unit root test Agriculture 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | Quality & Quantity. 53:667-683 |
| ISSN: | 1573-7845 0033-5177 |
| DOI: | 10.1007/s11135-018-0782-x |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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