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Sunday, January 22, 2012

determinants of stock prices variation

determinants of stock prices variation : Large variations in stock prices happen with sufficient frequency to raise doubts about existing models, which all fail to account for non-Gaussian statistics. We construct simple models of a stock market, and argue that the large variations may be due to a crowd effect,

where agents imitate each other's behavior. The variations over different time scales can be related to each other in a systematic way, similar to the Levy stable distribution proposed by Mandelbrot to describe real market indices. In the simplest, least realistic case, exact results for the statistics of the variations are derived by mapping onto a model of diffusing and annihilating particles, which has been solved by quantum field theory methods.

When the agents imitate each other and respond to recent market volatility, different scaling behavior is obtained. In this case the statistics of price variations is consistent with empirical observations. below are the determinants of stock price variations : Read More..

Determinants of Equity Prices in the Stock Markets
This study examined the extent to which some information factors or market indices affect the stock price. A model defined by Al-Tamimi (2007) was used to regress the variables (stock prices, earnings per share, gross domestic product, lending interest rate and foreign exchange rate) after testing for multicollinarity among the independent variables. Read More..

Identifying the Determinants of Stock Price Movements
In this paper, we show that the data has difficulty distinguishing between a stock price decomposition in which expectations of future real dividend growth is a primary determinant of stock price movements and a stock price decomposition in which expectations of future excess returns is a primary determinant. Read More..

Determinants of Stock Price Exposure in Mining
This suggests that market and production factors will be jointly important to all
firms, not just the gold mining industry. an application of the model to the global oil industry provides evidence of a negative role for crude oil prices, crude oil return volatility and long-term interest rates on the conditional variation of oil exposures for these firms Read More..
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