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Span 80 and Tween 80 are biodegradable surfactants that can be added to blended fuels such as hydrated bioethanol-gasoline and methanol-gasoline. They increase the fuels' water tolerance and reduce their corrosive properties, without altering their fuel characteristics. For this study, a mixture...
Persistent link: https://www.econbiz.de/10012651939
Span 80 and Tween 80 are biodegradable surfactants that can be added to blended fuels such as hydrated bioethanol-gasoline and methanol-gasoline. They increase the fuels' water tolerance and reduce their corrosive properties, without altering their fuel characteristics. For this study, a mixture...
Persistent link: https://www.econbiz.de/10012006751
This paper presents a study of Artificial Neural Network (ANN) and Bayesian Network (BN) for use in stock index prediction. The data from Nigerian Stock Exchange (NSE) market are applied as a case study. Based on the rescaled range analysis, the neural network was used to capture the...
Persistent link: https://www.econbiz.de/10009746063
The study adds an empirical outlook on the predicting power of using data from the future to predict future returns. The crux of the traditional Capital Asset Pricing Model (CAPM) methodology is using historical data in the calculation of the beta coefficient. This study instead uses a battery...
Persistent link: https://www.econbiz.de/10011526799
In this study, we try to examine whether the forecast errors obtained by the ANN models affect the breakout of financial crises. Additionally, we try to investigate how much the asymmetric information and forecast errors are reflected on the output values. In our study, we used the exchange rate...
Persistent link: https://www.econbiz.de/10011545129
Stock market is considered too uncertain to be predictable. Many individuals have developed methodologies or models to increase the probability of making a profit in their stock investment. The overall hit rates of these methodologies and models are generally too low to be practical for...
Persistent link: https://www.econbiz.de/10010482340
We propose an accurate data-driven numerical scheme to solve stochastic differential equations (SDEs), by taking large time steps. The SDE discretization is built up by means of the polynomial chaos expansion method, on the basis of accurately determined stochastic collocation (SC) points. By...
Persistent link: https://www.econbiz.de/10013093086
The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...
Persistent link: https://www.econbiz.de/10013163098
Persistent link: https://www.econbiz.de/10012671329