The prime objective of the study is to identify the long-run and short-run relationship between Indian stock price viz., BSE SENSEX (hereafter named as BSE) and gold price (GOLD) in India. The daily closing price data were collected for the period of ten years ranging from 1st April 2004 to 31st March 2014 with 2490 observations. The study employed two models: Model one us...

The present study investigates the cointegration relationships among crude oil price, domestic gold price and selected financial variables (exchange rates and stock price indices) in India. Increasing crude oil prices will increase the production costs which will affect cash flow and will decrease stock prices. Investors are showing fewer concerns in the stock markets and investing in yellow me...

In this study business operations and liquidity and credit risk on price fluctuations on the stock exchange since 2010 to 2013 has been Tehran distance. The sample consisted of 76 company The systematic elimination method is selected. The company had a total of 304 years, in this study, the hypothesis of linear regression and correlation to analyse the data and test hypotheses Eviews software i...

the prime objective of the study is to identify the long-run and short-run relationship between indian stock price viz., bse sensex (hereafter named as bse) and gold price (gold) in india. the daily closing price data were collected for the period of ten years ranging from 1st april 2004 to 31st march 2014 with 2490 observations. the study employed two models: model one used gold as dependent v...

â â â  â â â  abstract â  using a structural var with block exogeneity, diagonality and identifying restrictions, this paper analyzes: first, the macroeconomic linkages among the oil price, u.s. output, interest rate, money supply, general price level and exchange rate and second, the relationships of the macroeconomic variables with the price indices of ten international nonfuel commodity grou...

Gold price has significant nonlinearity and time-variance with many indeterminate influencing factors. In order to improve the forecast accuracy of gold price, this paper puts forward a gold price forecast model combing projection pursuit with neural network. At first, projection pursuit algorithm is used to screen the influencing factors, and then the influencing factors are used as the input ...

according to the importance of careful review of crude oil market fluctuations on the iranian economy, in this paper a multivariate model of markov switching vector error correction model (have been used). variables such as real gross domestic product in industrial sector, real effective exchange rate, real governmental expenditure, real import, inflation rate and real crude oil price is used t...