Matches in SemOpenAlex for { <https://semopenalex.org/work/W2114799907> ?p ?o ?g. }
- W2114799907 abstract "A number of research efforts had been devoted to forecasting stock price based on technical indicators which rely purely on historical stock price data. However, the performances of such technical indicators have not always satisfactory. The fact is, there are other influential factors that can affect the direction of stock market which form the basis of market experts’ opinion such as interest rate, inflation rate, foreign exchange rate, business sector, management caliber, investors’ confidence, government policy and political effects, among others.In this study, the effect of using hybrid market indicators such as technical and fundamental parameters as well as experts’ opinions for stock price prediction was examined. Values of variables representing these market hybrid indicators were fed into the artificial neural network (ANN) model for stock price prediction.The empirical results obtained with published stock data show that the proposed model is effective in improving the accuracy of stock price prediction. Also, the performance of the neural network predictive model developed in this study was compared with the conventional Box-Jenkins autoregressive integrated moving average (ARIMA) model which has been widely used for time series forecasting. Our findings revealed that ARIMA models cannot be effectively engaged profitably for stock price prediction. It was also observed that the pattern of ARIMA forecasting models were not satisfactory. The developed stock price predictive model with the ANN-based soft computing approach demonstrated superior performance over the ARIMA models; indeed, the actual and predicted value of the developed stock price predictive model were quite close." @default.
- W2114799907 created "2016-06-24" @default.
- W2114799907 creator A5010365975 @default.
- W2114799907 date "2012-06-13" @default.
- W2114799907 modified "2023-09-27" @default.
- W2114799907 title "A Model for Stock Price Prediction Using the Soft Computing Approach" @default.
- W2114799907 cites W1276491955 @default.
- W2114799907 cites W1484864026 @default.
- W2114799907 cites W1508463275 @default.
- W2114799907 cites W1508956230 @default.
- W2114799907 cites W1523820026 @default.
- W2114799907 cites W1566741890 @default.
- W2114799907 cites W1586335931 @default.
- W2114799907 cites W1587239851 @default.
- W2114799907 cites W1597190145 @default.
- W2114799907 cites W1767279340 @default.
- W2114799907 cites W1777637058 @default.
- W2114799907 cites W181010784 @default.
- W2114799907 cites W1966295073 @default.
- W2114799907 cites W1967696505 @default.
- W2114799907 cites W1969865884 @default.
- W2114799907 cites W1976611654 @default.
- W2114799907 cites W1978049199 @default.
- W2114799907 cites W1983220355 @default.
- W2114799907 cites W1983925612 @default.
- W2114799907 cites W1985733926 @default.
- W2114799907 cites W1986078433 @default.
- W2114799907 cites W1991001067 @default.
- W2114799907 cites W1994513282 @default.
- W2114799907 cites W1995319408 @default.
- W2114799907 cites W1995456904 @default.
- W2114799907 cites W1997160692 @default.
- W2114799907 cites W1999183681 @default.
- W2114799907 cites W2005877787 @default.
- W2114799907 cites W2015262594 @default.
- W2114799907 cites W2017812666 @default.
- W2114799907 cites W2027182449 @default.
- W2114799907 cites W2029803196 @default.
- W2114799907 cites W2032170121 @default.
- W2114799907 cites W2038221107 @default.
- W2114799907 cites W2038844583 @default.
- W2114799907 cites W2040198354 @default.
- W2114799907 cites W2042011627 @default.
- W2114799907 cites W2049949574 @default.
- W2114799907 cites W2053675238 @default.
- W2114799907 cites W2054006756 @default.
- W2114799907 cites W2057674658 @default.
- W2114799907 cites W2058777398 @default.
- W2114799907 cites W2065610112 @default.
- W2114799907 cites W2068805783 @default.
- W2114799907 cites W2070808135 @default.
- W2114799907 cites W2072664345 @default.
- W2114799907 cites W2073912178 @default.
- W2114799907 cites W2073939094 @default.
- W2114799907 cites W2080690725 @default.
- W2114799907 cites W2081702909 @default.
- W2114799907 cites W2092624117 @default.
- W2114799907 cites W2097536910 @default.
- W2114799907 cites W2101465260 @default.
- W2114799907 cites W2101466958 @default.
- W2114799907 cites W2103997983 @default.
- W2114799907 cites W2104129931 @default.
- W2114799907 cites W2104785403 @default.
- W2114799907 cites W2111405393 @default.
- W2114799907 cites W2111860494 @default.
- W2114799907 cites W2113771037 @default.
- W2114799907 cites W2114386642 @default.
- W2114799907 cites W2119777970 @default.
- W2114799907 cites W2120224355 @default.
- W2114799907 cites W2121610565 @default.
- W2114799907 cites W2122590186 @default.
- W2114799907 cites W2123513648 @default.
- W2114799907 cites W2124776405 @default.
- W2114799907 cites W2131894804 @default.
- W2114799907 cites W2137634615 @default.
- W2114799907 cites W2137983211 @default.
- W2114799907 cites W2138621668 @default.
- W2114799907 cites W2139618930 @default.
- W2114799907 cites W2145026707 @default.
- W2114799907 cites W2153720810 @default.
- W2114799907 cites W2158663270 @default.
- W2114799907 cites W2162389778 @default.
- W2114799907 cites W2162936541 @default.
- W2114799907 cites W2163716107 @default.
- W2114799907 cites W2164438627 @default.
- W2114799907 cites W2165540812 @default.
- W2114799907 cites W2169572865 @default.
- W2114799907 cites W2171315676 @default.
- W2114799907 cites W2183365078 @default.
- W2114799907 cites W2189625997 @default.
- W2114799907 cites W2225905892 @default.
- W2114799907 cites W2624913028 @default.
- W2114799907 cites W3000391989 @default.
- W2114799907 cites W3121350493 @default.
- W2114799907 cites W3122312045 @default.
- W2114799907 cites W3125462345 @default.
- W2114799907 cites W87895276 @default.
- W2114799907 cites W1483519133 @default.
- W2114799907 cites W2149190844 @default.
- W2114799907 hasPublicationYear "2012" @default.