How to analyze the features of stock price accurately and master the regularity of stock price changing with time quickly and effectively is of great theoretical and realistic significance and is an important research direction in financial field. For complicated non-linear and periodic variations of stock prices, a parallel computing model is proposed in this paper based on stock prediction al...

Electricity price predictions have become a major discussion on competitive market under deregulated power system. But, the exclusive characteristics of electricity price such as non-linearity, non-stationary and time-varying volatility structure present several challenges for this task. In this paper, a new forecast strategy based on the iterative neural network is proposed for Day-ahead price...

Stock price prediction is an important and challenging problem in stock market analysis. Existing prediction methods either exploit autocorrelation of stock price and its correlation with the supply and demand of stock, or explore predictive indictors exogenous to stock market. In this paper, using transaction record of stocks with identifier of traders, we introduce an index to characterize ma...

In this paper, we characterize the equilibrium price of a prediction market in which risk averse traders have heterogeneous beliefs in probabilities. We show that the prediction market is accurate, in the sense that the equilibrium price equals the mean beliefs of traders, if and only if the utility function of traders is logarithmic. We also provide a necessary and sufficient condition for the...

This paper formulates app store analysis as an instance of software repository mining. We use data mining to extract feature information, together with more readily available price and popularity information, to support analysis that combines technical, business and customer facing app store properties. We applied our approach to 32,108 non-zero priced apps available from the Blackberry app sto...

Gold is one form of precious metal with priceless value in this day and age. Therefore, many people are starting to invest gold. Someone who wants gold must pay attention changes gold's buying selling price. One site that can be used as a reference see the price gold.org. Several factors influence changes, namely US Dollar exchange rate, amount world production, increase demand for itself. This...

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

Price forecast is a task challenging and very important in competitive electricity market context. Both market players and regulators concern very much about the price evolution, on one hand, the prediction of the market price is a crucial information for the production arrangement and bidding strategies. On the other hand, the regulators need to analyze the market behavior and monitor the mark...