In this world a amount of things and procedures are impulsive, among the stock market value is an entity which is impulsive. The stock market and their prices are haphazard in impulsive manner that can be depends on amount of external associations such as politics, terror, social and others. But a number of researchers are building efforts to forecast the stock market values. To forecast the up...

This paper deals with the application of a well-known neural network technique, multi-layer back-propagation (BP) neural network, in financial data mining. A modified neural network forecasting model is presented, and an intelligent mining system is developed. The system can forecast the buying and selling signs according to the prediction of future trends to stock market, and provide decision-...

There is a consensus that conventional continuous demand distribution methods are not appropriate for forecasting replacement parts. However, many forecasting tools available in market still use them. This work presents an application of the Poisson distribution to forecast the needs of electronic spare parts. Using basic stock management notions and usual concepts of reliability, availability ...

EDDIE is a genetic programming based decision support tool for financial forecasting. EDDIE itself does not replace forecasting experts. It serves to improve the productivity of experts in searching the space of decision trees, with the aim to improve the odds in its user's favour. The efficacy of EDDIE has been reported in the literature. However, discovering patterns in historical data is onl...

A large empirical literature has reported that the futures market contains valuable information for explaining stock returns and that stock returns display signi ̄cant cross-correlations internationally. A parallel literature has recorded evidence that the distribution of stock returns is close to a mixture of normal distributions and that Markov switching models may therefore provide an adequat...

We examine whether consumer confidence – as a proxy for individual investor sentiment – affects expected stock returns internationally in 18 industrialized countries. In line with recent evidence for the U.S., we find that sentiment negatively forecasts aggregate stock market returns on average across countries. When sentiment is high, future stock returns tend to be lower and vice versa. This ...

We propose market timing strategies aiming to exploit the aggregate accruals’ return forecasting power. We examine several performance metrics of the aggregate accruals based market timing strategy such as excess portfolio return, Sharpe ratio, and Jensen’s alpha. We provide robust evidence that, relative to the passive investment strategy of buying and holding the stock market, the market timi...

The key of success in stock trading is to buy and sell stocks at the right time for the right price. “Buy Low, Sell High” sounds easy, but it is so difficult to carry out since the direction of stock market in the near future is almost unpredictable. With the advances in data mining, it has now become possible to predict the future market direction based on historical data. In this study, diffe...

This paper examines the consequences for the term structure of stock market risk of the significance of demographics in capturing the time varying mean of the dividend-price ratio and in predicting stock market returns. A potential role for demographic variables has never been considered in the ongoing debate on the slope of the term structure of stock market risk. Intuitive reasoning, formal m...