Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

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...

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...

Purpose – In recent years, equity premiums have been unusually large and efforts to forecast them have been largely unsuccessful. This paper presents evidence suggesting that artificial neural networks (ANNs) outperform traditional statistical methods and can forecast equity premiums...

1. Introduction: On Types of Products of Theorizing -- 2. Useful Products in Information Systems Theorizing: A Discursive Formation Perspective -- 3. Debating Genres And IS Research: The Case Of Action Principles For Service Automation -- 4. A Paradigm Shift in Understanding Digital Objects in...