Understanding the efficiency levels is crucial for understanding the competitive structure of a market and/or segments of a market. This study uses two artificial Neural Networks (NN) and a traditional statistical classification method to model and classify the relative efficiency of top Gulf...

The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network...

The aim of this study was to develop a predictive method for heat transfer coefficients in solar water heaters and their performance evaluation of such heaters with different materials used as heat collectors. Two approaches have been used: conventional method and an Artificial Neural Network...

This paper focuses on the development of a stock market forecasting model based on artificial neural network architecture. A baseline neural network model was developed using GFF architecture. The performance of the baseline model was evaluated by using representative large-cap stocks in six...

This paper presents a survey of techniques used for default risk analysis and it illustrates the reasons why a large number of researchers study the insolvency of firms. Firstly, there is an introduction on Basel II focusing on the first pillar and the new standards dictated by the New Basel...

This study analyses the situation of a bank that wants to create an Internal Rating System (IRB). A credit institute can decide to simulate rating judgements from an external rating agency, like Standard and Poor's or Moody's or Fitch Rating. This research compares different frameworks of neural...

Weibull distributions play an important role in reliability studies and have many applications in engineering. It normally appears in the statistical scripts as having two parameters, making it easy to estimate its parameters. However, once you go beyond the two parameter distribution, things...

This study explores whether market sentiment is significantly related to equity premium levels using the Artificial Neural Network (ANN) framework with both the Conference Board CCI and the Michigan Consumer Sentiment Index (CSI) as market sentiment proxies. Contrary to several studies, our...