Forecasting stock market movements is a challenging task from the practitioners' point of view. We explore how model selection via the least absolute shrinkage and selection operator (LASSO) approach can be better used to forecast stock closing prices using real-world datasets of daily stock...

In recent decades full-service airlines have targeted price-sensitive passengers, traditionally targeted by low-cost airlines, by promoting their economy class options. This paper aims to guide both types of airlines in promoting their economyclass options by utilizing factors influencing...

This research addresses the challenges of multi-attribute group decision-making in a hesitant fuzzy environment, where randomness and uncertainty introduce biases into practical making choices. A probability-based double uncertain fuzzy (PDHF) algorithm is proposed to overcome these challenges....

Emerging modes of advanced air mobility are potential alternatives to current ground transport. This study proposes a service network design approach for the air metro, a pre-scheduled service with fixed routes that accommodate passengers for intra- or inter-city trips. The scenarios of...

The significance of ancillary services within the airline industry is progressively gaining prominence. As such, research on airlines’ ancillary services has continuously grown. The primary objective of this research article is to provide a review of ancillary services on passengers’...

This study analyzes the effect of changes in corporate control on the way shareholders benefit from the announcements of selling and buying airlines, thus contributing to the literature on mergers and acquisitions (M&As) in emerging markets. Using a methodology of event study, including GARCH...