Generally, high oil prices slow economic growth, cause inflationary pressures and creates global imbalances. In addition, oil price volatility increase uncertainty and restrain the much-needed investment in the capital market. Thus, this paper applies the Augmented Dickey Fuller and Johansen Co-integration Tests in which the effect of oil price volatility, crude oil price and stock price is ana...

today, stock investment has become an important mean of national finance. apparently, it is significant for investors to estimate the stock price and select the trading chance accurately in advance, which will bring high return to stockholders. in the past, long-term trading processes and many technical analysis methods for stock market were put forward. however, stock market is a nonlinear sys...

Different techniques are available for the prediction of stock market. Very popular some of these are Neural Network, Data Mining, Hidden Markov Model(HMM) And Neuro-Fuzzy system. From these Neural Network and Neuro-Fuzzy Systems are the most leading machine learning techniques in stock market index prediction area. Other traditional methods do not cover all possible relation of stock price mov...

This paper presents a statistical analysis of Tehran Price Index (TePIx) for the period of 1992 to 2004. The results present asymmetric property of the return distribution which tends to the right hand of the mean. Also the return distribution can be fitted by a stable Lévy distribution and the tails are very fatter than the gaussian distribution. We estimate the tail index of the TePIx returns...

DRAFT February 12, 5 pm (Choose " print layout view " in Word) The influence of speculative stocks on value stocks is examined through a set of economics experiments. The speculative asset is designed to model a company involved in a rapidly growing market that will be saturated at some unknown point. Using a control experiment where both assets are similar value stocks, we find statistical sup...

Real-world stock markets are volatile and express such traits as overvaluation, psychological moods, cycles and crashes. This paper develops and explores a model which has these properties. The model is aggregated, continuous and non-linear. It is developed in stages. In the initial stage it is applied to the price dynamics of one type of stock only. Later on it is applied to a weighted price i...

Stock market price index prediction is a challenging task for investors and scholars. Artificial neural networks have been widely employed to predict financial stock market levels thanks to their ability to model nonlinear functions. The accuracy of backpropagation neural networks trained with different heuristic and numerical algorithms is measured for comparison purpose. It is found that nume...

This research is intended to know the influence of interest rate, world oil price, and gold price on joint stock index with inflation as a moderating variables in Indonesia. Population this Indonesia 20 them were selected be samples for through purposive sampling technique. Estimates conducted by multiple regression analysis. The data that used study secondary data, consisted Interest Rate, Wor...