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• "Digitization in the Financial Industry: Empirical Evidence on Data Privacy and Digital Assets", Kreppmeier, 2023

  Publication

  This dissertation examines digitization in the financial industry and provides empirical evidence on data privacy and digital assets. The four...

  Publication on epub.uni-regensburg.de: "Digitization in the Financial Industry: Empirical Evidence on Data Privacy and Digital Assets" (external link, opens in a new window)

• "The perception of Brexit uncertainty and how it affects markets", Kreuzer, Priberny, Huther, 2024

  Publication

  We empirically study the perception of political uncertainty by UK’s stock markets, covering the entire Brexit period from January 2013 to March 2020....

  Publication on epub.uni-regensburg.de: "The perception of Brexit uncertainty and how it affects markets" (external link, opens in a new window)

• "M&A and the simulation-based valuation of companies with an uncertain exit price and special rights", Gleißner, Wolfrum, Dorfleitner, 2024

  Publication

  Credit and Capital Markets 2199-1235,2199-1227

  Publication on epub.uni-regensburg.de: "M&A and the simulation-based valuation of companies with an uncertain exit price and special rights" (external link, opens in a new window)

• "ESG News Sentiment and Stock Price Reactions: A Comprehensive Investigation via BERT", Dorfleitner, Zhang, 2024

  Publication

  Schmalenbach Journal of Business Research 2366-6153,0341-2687

  Publication on epub.uni-regensburg.de: "ESG News Sentiment and Stock Price Reactions: A Comprehensive Investigation via BERT" (external link, opens in a new window)

• "Green, green, it’s green they say: a conceptual framework for measuring greenwashing on firm level", Dorfleitner, Utz, 2024

  Publication

  This paper proposes a conceptual framework to determine a greenwashing indicator on firm level, based on five pillars of information that capture the...

  Publication on epub.uni-regensburg.de: "Green, green, it’s green they say: a conceptual framework for measuring greenwashing on firm level" (external link, opens in a new window)

• "Board Responsibility for Irresponsibility: The Link Between Board Structure and Corporate Scandals", Dorfleitner, Kreuzer, 2024

  Publication

  Based on an international data set that comprises over 6,100 companies located in 44 countries in the years 2002–2018, this paper analyzes the...

  Publication on epub.uni-regensburg.de: "Board Responsibility for Irresponsibility: The Link Between Board Structure and Corporate Scandals" (external link, opens in a new window)

• "Revealing the risk perception of investors using machine learning", Koelbl, Laschinger, Steininger, Schäfers, 2024

  Publication

  Corporate disclosures convey crucial information to financial market participants. While machine learning algorithms are commonly used to extract this...

  Publication on epub.uni-regensburg.de: "Revealing the risk perception of investors using machine learning" (external link, opens in a new window)

• "Empirische Analyse des Personalbedarfs in deutschen Dialyseeinrichtungen: Eine Untersuchung im Kontext des Dialyse-Pflegestandards", Fernsebner, Dorfleitner, Reichardt, Eikelmann, von Gliszczynski, Frimel, 2024

  Publication

  Für die Studie wurden 244 Dialysefachkräfte in einer Deutschland-weiten Online-Umfrage befragt. Zentrale empirischen Erkenntnisse dieser Befragung...

  Publication on epub.uni-regensburg.de: "Empirische Analyse des Personalbedarfs in deutschen Dialyseeinrichtungen: Eine Untersuchung im Kontext des Dialyse-Pflegestandards" (external link, opens in a new window)

• "Treffen Investoren mit konstanter relativer Risikoaversion auch im Buy-and-Hold-Kontext myopische Portfolioentscheidungen?", Dorfleitner, Bamberg, Krapp, 2006

  Publication

  Publication on epub.uni-regensburg.de: "Treffen Investoren mit konstanter relativer Risikoaversion auch im Buy-and-Hold-Kontext myopische Portfolioentscheidungen?" (external link, opens in a new window)

• "A Law of Large Numbers and Central Limit Theorem for the Leaves in a Random Graph Model", Wimmer, 2006

  Publication

  We are calculating the expectation and variance of the number of leaves in the scale-free network model suggested in [CL06]. Afterwards, we prove a...

  Publication on epub.uni-regensburg.de: "A Law of Large Numbers and Central Limit Theorem for the Leaves in a Random Graph Model" (external link, opens in a new window)