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• "German FinTech Companies: A Market Overview and Volume Estimates", Dorfleitner, Kreppmeier, Laschinger, 2023

  Publikation

  The FinTech market in Germany is a dynamic and growing field that is difficult to observe in its entirety. This report provides a hand-collected...

  Publikation auf epub.uni-regensburg.de: "German FinTech Companies: A Market Overview and Volume Estimates" (externer Link, öffnet neues Fenster)

• "Paralyzed by shock: the portfolio formation behavior of peer-to-business lending investors", Dorfleitner, Hornuf, Weber, 2023

  Publikation

  We examine investor behavior on a leading peer-to-business lending platform and identify an investment mistake that we refer to as default shock bias....

  Publikation auf epub.uni-regensburg.de: "Paralyzed by shock: the portfolio formation behavior of peer-to-business lending investors" (externer Link, öffnet neues Fenster)

• "FinTech and the Digital Transformation in the Financial Industry", Dorfleitner, Hornuf, 2023

  Publikation

  Credit and Capital Markets 1865-5734,2199-1235 10.3790/ccm.56.1.1

  Publikation auf epub.uni-regensburg.de: "FinTech and the Digital Transformation in the Financial Industry" (externer Link, öffnet neues Fenster)

• "Greenness ratings and green bond liquidity", Dorfleitner, Eckberg, Utz, 2023

  Publikation

  Using a global panel dataset of 3,496 green bonds and conducting regressions, we find a positive relationship between greenness ratings from...

  Publikation auf epub.uni-regensburg.de: "Greenness ratings and green bond liquidity" (externer Link, öffnet neues Fenster)

• "The impact of COVID-19 on demand and lending behavior in prosocial P2P lending", Priberny, 2023

  Publikation

  I derive two innovative metrics, capturing the demand and the excess demand for prosocial P2P loans in the US. The measures are based on a data set...

  Publikation auf epub.uni-regensburg.de: "The impact of COVID-19 on demand and lending behavior in prosocial P2P lending" (externer Link, öffnet neues Fenster)

• "Sustainability and corporate scandals: The role of corporate social responsibility and irresponsibility in financial markets", Sparrer, 2023

  Publikation

  This dissertation explores corporate social responsibility (CSR) and unethical corporate behavior (corporate social irresponsibility, CSI) in a...

  Publikation auf epub.uni-regensburg.de: "Sustainability and corporate scandals: The role of corporate social responsibility and irresponsibility in financial markets" (externer Link, öffnet neues Fenster)

• "Real Estate Security Token Offerings and the Secondary Market: Driven by Crypto Hype or Fundamentals?", Kreppmeier, Laschinger, Steininger, Dorfleitner, 2023

  Publikation

  Tokens, the digital form of assets, are an innovation that has the potential to disrupt how to transfer and own financial instruments. We...

  Publikation auf epub.uni-regensburg.de: "Real Estate Security Token Offerings and the Secondary Market: Driven by Crypto Hype or Fundamentals?" (externer Link, öffnet neues Fenster)

• "Promise Not Fulfilled: FinTech, Data Privacy, and the GDPR", Dorfleitner, Hornuf, Kreppmeier, 2023

  Publikation

  This article analyzes how the General Data Protection Regulation (GDPR) has affected the privacy practices of FinTech firms. We study the content of...

  Publikation auf epub.uni-regensburg.de: "Promise Not Fulfilled: FinTech, Data Privacy, and the GDPR" (externer Link, öffnet neues Fenster)

• "Signaling in the Market for Security Tokens", Kreppmeier, Laschinger, 2023

  Publikation

  Security token offerings (STOs) are a new means for ventures to raise funding, where digital tokens are issued as regulated investment products on the...

  Publikation auf epub.uni-regensburg.de: "Signaling in the Market for Security Tokens" (externer Link, öffnet neues Fenster)

• "Computing Cardinality Constrained Portfolio Selection Efficient Frontiers via Closest Correlation Matrices", Steuer, Qi, Wimmer, 2023

  Publikation

  In this paper, we demonstrate a completely new approach for computing cardinality constrained mean-variance efficient frontiers. By cardinality...

  Publikation auf epub.uni-regensburg.de: "Computing Cardinality Constrained Portfolio Selection Efficient Frontiers via Closest Correlation Matrices" (externer Link, öffnet neues Fenster)