The Halloween effect predicts that stock markets in the winter months (November through April) generate significantly higher returns than in the summer months (May through October). This paper examines the time-varying behavior of the Halloween effect within a new historical dataset that covers...

This study examines the day-of-the-week and January effects on the top performing cryptocurrencies with the highest capitalization during the sample period. The study uses the daily closing returns of selected currencies for 7 August 2015 to 20 August 2020. The day-of-the-week results indicate...

The effective use of digital technologies to create business value has generated enormous data, and using data in decision-making is vital. Although there is growing empirical evidence in favour of a positive association between informed decision-making and firm performance in developed...

Der Beitrag behandelt die Bedeutung von Daten in einer zunehmend digitalisierten Welt in der ungewöhnlichen Form einer Sonate in drei Sätzen, entlehnt aus der klassischen Musik. Während der erste Satz - das Allegro fascinoso - beschreibt, welche Faszination Daten und die Möglichkeiten, die...

We revisit the tax-loss selling hypothesis as an explanation of the January effect. We expand on prior empirical evidence from municipal bond closed-end funds (CEFs) by extending the sample period by 19 years and adding exchange-traded funds (ETFs). Our sample covers the introduction and rapid...