Mari, Alex (2019). Voice Commerce: Understanding Shopping-Related Voice Assistants and their Effect on Brands. In: IMMAA Annual Conference, Northwestern University in Qatar, Doha, 4 October 2019 - 6 October 2019.
Mader, Clemens; Cas, Johann; Scherer, Anne (2020). Wie mit künstlicher Intelligenz umgehen? Die Gesellschaft begegnet der Digitalisierung teilweise mit tiefem Misstrauen. Um die Chancen der künstlichen Intelligenz für die Gesellschaft nutzbar zu machen, muss man diese Skepsis ernst nehmen. Die Volkswirtschaft, 2020(8-9):53-55.
Bachmann, Patrick; Meierer, Markus; Näf, Jeffrey (2021). The role of time-varying contextual factors in latent attrition models for customer base analysis. Marketing Science:Epub ahead of print.
Khan, Saera R; Howe, Lauren (2020). Concern for the Transgressor’s Consequences: An Explanation for Why Wrongdoing Remains Unreported. Journal of Business Ethics:Epub ahead of print.
Safe assets usually trade at a premium due to their high credit quality and deep liquidity. To understand the role of credit quality for such premia, we focus on Swiss Confederation bonds, which are extremely safe but not particularly liquid. We therefore refer to their premia as safety premia and quantify them using an arbitrage-free term structure model that accounts for time-varying premia in individual bond prices. The estimation results show that Swiss safety premia are large and exhibit long-lasting trends. Furthermore, our regression analysis suggests that they shifted upwards persistently following the launch of the euro but have been depressed in recent years by the asset purchases of the European Central Bank.