The current study aims to examine the relationship between various identified determinants (Profitability, Tangibility, Growth Rate, Business Risk, Size and Non Debt tax shield) and its impact on financial leverage (CS) decisions of Capital goods, FMCG, Infrastructure and IT sector in Indian Stock market. In order to realise the stated objectives of the study the researchers have collected data from the published financial statements of quoted firms in the Indian stock market from the above mentioned sectors for a period of ten years (2006-2015). In the very first step,we tested the data by using multico1tinearity test and then we use linear multiple regression model to investigate the impact of chosen independent variables on CS (leverage) decisions in Indian capital market. Later, residual diagnostic CS, such as Serial correlation test, Heteroskedasticity Test, Normality and CUSUM test have been run to assess the strength of the constructed regression model. The results show that ER (Earnings), TA (Tangibility) and GR (Growth) were the major determinants in case of capital goods sector and ER (Earnings), TA (Tangibility), GR (Growth), Size and NDTS were the major factors for the FMCG sector. GR (Growth), BR (Business Risk) and Size for the Infrastructure sectors and ER (Earnings), BR (Business Risk) and Size were the major factors for the IT sector. The study revealed inconsistency in independent variables influencing the financial leverage component, though there is statistical support for the proposed determinants with respect to earnings and growth rate influencing the financial leverage.

The recent fluctuations in the crudes prices have captured the researcher's attention towards the crucial role that crudes prices play on the economy of any nation. The volatility in crude price has influenced the uncertainty in the price expectation in the countries economy. As majority of the empirical studies support that the crude oil price volatility significantly influences the country's economy and also the stock returns. Therefore, understanding the movement of stock returns is an important issue from the perspective of a developing economy like India. Therefore, it is necessary to identify the variables that drives the stock prices are very important for the market participants and policy makers. The aim of this paper is to investigate the volatility of crude prices and its impact on Indian stock market. For the purpose of the study the data has been collected from Prowess data base for a period from 2006 to 2015. The collected data has been tested for stationarity by employing ADF test and the length intervals for each variable to run the AIC. Later a linear regression has been run. The volatility of the Sensex has been measured by applying GARCH (1,1) model. The linear regression results show that changes in crudes prices have an impact on Sensex. Apart from that the study concludes that the Crude prices was significant in the volatility of the Sensex and have the competency to transmit shock on Sensex. Therefore, policy makers have to take the movement of the crudes prices while framing the policies that affect the economy at large and stock market in particular. Finally, these results have been compared to the available evidence.

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