This paper proposes an entropy-based approach for aggregating information from misspecified asset pricing models. The statistical paradigm is shifted away from parameter estimation of an optimally selected model to stochastic optimization based on a risk function of aggregation across models....

This paper proposes an entropy-based approach for aggregating information from misspecified asset pricing models. The statistical paradigm is shifted away from parameter estimation of an optimally selected model to stochastic optimization based on a risk function of aggregation across models....

This study deepens the research on error trapping (ET) and metamorphic testing (MT) for detecting spreadsheet failures. It is observed that some spreadsheet developers and testers are confused between ET and MT, because the two techniques are similar to each other in some aspects. Inspired by...