Stock market analysis is one of the most important and hard problems in finance analysis field. Recently, the usage of intelligent systems for stock market prediction has been widely established. In this paper, a PSO based selective neural network ensemble (PSOSEN) algorithm is proposed, which is used for the Nasdaq-100 index of Nasdaq Stock Market and the S&P CNX NIFTY stock index analysis. In...

The stock index reflects the fluctuation of the stock market. For a long time, there have been a lot of researches on the forecast of stock index. However, the traditional method is limited to achieving an ideal precision in the dynamic market due to the influences of many factors such as the economic situation, policy changes, and emergency events. Therefore, the approach based on adaptive mod...

This study attempts to characterize and predict stock index series in Shenzhen stock market using the concepts of multivariate local polynomial regression. Based on nonlinearity and chaos of the stock index time series, multivariate local polynomial prediction methods and univariate local polynomial prediction method, all of which use the concept of phase space reconstruction according to Taken...

This paper examines hedging effectiveness in Greek stock index futures market. We focus on various techniques to estimate variance reduction from constant and time-varying hedge ratios. For both available stock index futures contracts of the Athens Derivatives Exchange (ADEX), we employ a variety of models to derive and estimate the effectiveness of hedging. We measure hedging effectiveness usi...

This paper examines hedging effectiveness in Greek stock index futures market. We focus on various techniques to estimate variance reduction from constant and time-varying hedge ratios. For both available stock index futures contracts of the Athens Derivatives Exchange (ADEX), we employ a variety of models to derive and estimate the effectiveness of hedging. We measure hedging effectiveness usi...

this world; though all the discussions are focused on the causal relationships in allthe scientific arguments. One of the methods to study the designed causal relationshipsobjectively is Granger causality test. This paper aims to investigate the longtermcausal relationship between the stock price and dividends. The statisticalpopulation includes 180 active companies in Stock Exchange of Tehran ...

This paper mainly centers on exploring the tendency relationship between individual stock and index using CAPM method. The research chooses of Apple Inc. as an S&P 500 index. Then is used to tests indicating that this model does not fit rate return very well. Therefore, explores possible reasons behind phenomenon refers some constructive improvements in evaluation expected stocks under infl...