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The present study investigated the relationship between airline stock price and crude oil price. For this study, six airlines such as Air India, Go Air, IndiGo, Jet Lite, Jet Airways and Spice Jet and three crude oil markets, WTI-West Texas Intermediate and Texas Light Sweet, Brent -North Sea Brent Crude, and Dubai-Dubai Crude, were selected Based on their market capitalization. According to empirical results, a Crude oil price triggered fluctuations in most of the airline stock returns. Moreover, Air India, IndiGo, Jet Airways and Spice Jet experienced statistically significant relationships between their stock returns and crude oil price but did not correlate with them during the study period from January 1, 2007 to November 30, 2018. The findings of present study would be useful for individual and institutional investors and policy makers.

The present study investigates the impact of temperature, on the returns of the Carbon Index, otherwise called BSE GREENEX in India. The study employed the secondary data of temperature in five sample cities (Chennai, Delhi, Hyderabad, Kolkata, and Mumbai), and the BSE GREENEX in India. Statistical tools like Descriptive Statistics, Unit Root, OLS Regression Test, and Granger Causality Test, were used. This study would be useful for the investors to make green investment in India.

This study proposes to investigate the dynamic relationships between the three weather factors (temperature, humidity, and wind speed) in New York City of USA and Coinbase Index from Federal Reserve Bank of St. Louis, in the USA. Statistical tools like Descriptive Statistics, Unit Root, Granger Causality Test and Johansen Co-Integration test were employed. This study clearly found that the temperature influenced the investors’ mood and their investment decision in respect of Cryptocurrency index (Coinbase Index) and also found that there was long run equilibrium between the sample variables during the study period. The results of study provided strong evidence against the Efficient Market Hypothesis (EMH).

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