This study proposes to use the theory of planned behaviour to predict students' entrepreneurial intentions in Tunisian context. A questionnaire-based survey was conducted to collect responses from... Show More

This study proposes to use the theory of planned behaviour to predict students' entrepreneurial intentions in Tunisian context. A questionnaire-based survey was conducted to collect responses from 257 students. Regressions analysis was used to test hypotheses. The result shows that attitude, perceived behavior control, and subjective norms significantly influence the entrepreneurial intention. The findings will be useful for government to support entrepreneurship and encourage graduates to start their own businesses to solve even part of the unemployment problem among the youths. The article is one of the initial attempts in Tunisian context to understand the entrepreneurial intention by using the theory of planned behaviour.

This research explores the utilization of wavelet transform decomposition as an effective tool for hedging in the Indian stock market, particularly focusing on hedging with index futures contracts.... Show More

This research explores the utilization of wavelet transform decomposition as an effective tool for hedging in the Indian stock market, particularly focusing on hedging with index futures contracts. Utilizing daily data obtained from the National Stock Exchange (NSE) of India spanning from 2010 to 2022, the study investigates the lead-lag relationships, correlations, and hedge ratios across different time scales through the wavelet transform method. The findings indicate a clear relationship between the Nifty 50, Nifty Bank, and Index futures in both short and longer time frames. However, in intermediate time scales, the Nifty Bank contract exhibits a leading position in the market. The correlation analysis underscores that time plays a crucial role in determining the variations, resulting in a wide range of correlations. The effectiveness of hedging, measured by the hedge ratio, displays an increasing trend across different time zones.