No abstract

Predicting the exchange rate fluctuations and volatility is possibly one of the very toughest exercises in economics as it affects the market movement. The dynamic relationship between stock prices and exchange rate have drawn the attention of many economists for both theoretical and empirical reasons and plays an important role in influencing the development of a country’s economy (Nieh & Lee, 2001). Therefore, the present study is focusing on stock market prices and exchange rate, which in theory, is expected that one affects the other. The US Dollar (USD)-Indian Rupee (INR) exchange rates and stock market prices of India from January 2006 to December 2015 are considered as sample data for this study. In this research, Augmented Dickey-Fuller (ADF) and Phillips-Perron (PP) unit root tests are applied to test stationarity of data and the data was found stationary at first difference. Karl Pearson correlation test was used to find the correlating relationship between the variables and it is found that both the variables are significantly correlated. Johansen’s cointegration test is applied to determine the long-run equilibrium relationship between the study variables and identified that the variables are not cointegrated. Granger causality test is employed to determine the causality and short-run relationship between the variables and the result revealed bidirectional causality between variables.

No abstract

In todays competitive world, corporate companies all around the world are trying to maximize the wealth of their shareholders in order to gain market value as well as satisfy their stakeholders. With the gaining popularity of value based performance measures like Economic Value Added (EVA), Total Shareholder Return (TSR), Cash Value Added (CVA) etc., many corporate companies in India have started assessing their value in terms of these measures. This paper investigates the relationship between EVA and share prices of select companies in BSE-SENSEX for a period of six years from 2008 to 2013. The study focuses on the explanatory power of EVA with respect to share prices of the selected companies. In turn, the performance of the selected companies belonging to different sectors in BSE-SENSEX was analyzed using EVA. The volatile nature of the capital markets characterized by various speculative activities have a greater influence on share prices, eventually undermining the impact of performance metrics on them. Thus, the findings of the study enumerates that EVA does not have a considerable explanatory power on share prices.

No abstract