Stock market performance indicators
THE IMPACT OF MACROECONOMIC INDICATORS ON THE NIGERIAN STOCK MARKET PERFORMANCE
... Nigeria stock market ...that stock returns can be explained by multiple risk factors. Stock market price was proxy by ASI while the macroeconomic variables considered are EXR, INF, INT, ...
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Macroeconomic Indicators and Stock Market Development
... on stock market after financial reforms in ...Pakistan stock market is said the best performing stock market in emerging stock exchanges of the world in ...Pakistan’s ...
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Stock Market Indicators: Bull/Bear Ratios
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Stock Market Indicators: Bull and Bear Markets
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Stock Market Indicators: Fundamental, Sentiment, & Technical
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Stock Market Valuation of Corporate Social Responsibility Indicators
... inferior performance on a risk-adjusted basis for SRI funds, despite the restricted universe, but neither has it established superior performance to support the case that CSR ...company performance, ...
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Stock Market Indicators: Historical Monthly & Annual Returns
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Stock Market Valuation of Corporate Social Responsibility Indicators
... financial performance by incorporating CSR into the investment ...KLD indicators are found to have insignificant alphas for the high-scoring, low-scoring, and long-short portfolios—meaning that investors do ...
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The performance of Libyan stock market
... nancial market performance can be evaluated by using many fi nancial indicators, These include stock market size, activity and effi ciency, for example (Demirgüç-Kunt and Ross and Levine, ...
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Stock market random forest-text mining system mining critical indicators of stock market movements
... three market aspects, such as input data, predictive goal and prediction horizon, to predict the price and volatility of the market based on the new ...on stock market ...on stock price ...
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Fuzzy-neural model with hybrid market indicators for stock forecasting
... in stock price prediction. Examples in literature where technical indicators have been used include the ...technical indicators with ANNs model was used to forecast stock price and their ...
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An Improved Stock Price Prediction using Hybrid Market Indicators
... Dell Stock Price Prediction The network structure that returns the smallest mean squared error (MSE) was noted to give the best forecasting accuracy with the test ...the performance of model 2 was better ...
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Stock Market Indicators: S&P 500 Buybacks & Dividends
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Price Jump Indicators: Stock Market Empirics During the Crisis
... jump indicators, whose prediction accuracy and performance was compared in the extensive simulation study by Hanousek et ...nine stock market indices from both mature and emerging ...price ...
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Effect of Unstable Macroeconomic Indicators on Banking Sector Stock Price Behaviour in Nigerian Stock Market
... Nigerian stock exchange fact books on monthly basis between 2008 and ...Nigerian stock exchange came up with sectoral index to meet up with international market standard index for measuring global ...
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Causal Relationship between Macro-Economic Indicators and Stock Market in India
... the performance of Indian stock market is analyzed carefully by large number of global players; this motivates us for exploring research in Indian stock market and macroeconomic ...
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Stock Price Prediction using Neural Network with Hybridized Market Indicators
... of stock prediction. To determine the performance of our model, an empirical study was carried out with the published stock data obtained from the Internet, where the hybridized approach was compared ...
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Multi objective Optimization of Technical Stock Market Indicators using GAs
... past market actions. Technical analysis is based on the use of technical stock market indicators that are configured according to a set of ...These indicators are the mathematical ...
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Appraising Financial Development Indicators and Capital Market Performance
... Capital market operations whose main role is primarily the allocation of ...capital market operations and the economy in ...development, market-based financial development, or ...in stock ...
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A Survey of Systems for Predicting Stock Market Movements, Combining Market Indicators and Machine Learning Classifiers
... calculated on the training data and showed that two eigenvalues were dominant, while the remaining 50 had magnitudes too small to contribute. This result indicated that two features were sufficient as inputs. However, ...
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