This file was created by the TYPO3 extension publications --- Timezone: CEST Creation date: 2026-05-27 Creation time: 23:42:40 --- Number of references 13 Cryptocurrencies provide an escape from the conventional financial system and its regulations and could therefore become increasingly popular in the midst of geopolitical uncertainties. We analyze the linkage of the Russia–Ukraine conflict and the trading volume of 16 major cryptocurrencies via event study methodologies, based on a geopolitical risk index. The results show that the trading volume of most cryptocurrencies is positively affected by the events of the conflict. This is especially true for payment tokens and most utility coins. Interestingly, stablecoins show only fewer trading volumes before the actual event. Among utility tokens, Ripple in particular is positively influenced. article 2024 9 28 10.1016/j.frl.2024.106191 Finance Research Letters 69 Part B Elsevier 106191 https://epub.uni-regensburg.de/id/eprint/59320 Christian Kreuzer Ralf Laschinger Christopher Priberny Sven Benninghoff We empirically study the perception of political uncertainty by UK’s stock markets, covering the entire Brexit period from January 2013 to March 2020. We find that indices dominated by the largest capitalized companies anticipate negatively perceived events already prior to the actual event, whereas positive events only effect them on the event day or following. In contrast, the FTSE 250, composed of medium-sized companies, tends to move prior to positively perceived events. Furthermore, we investigate the daily perception of Brexit measured by a metric based on Google Trends. Our results show that perception significantly affects all major UK indices. article 2024 2199-1235,2199-1227 10.3790/ccm.2025.1457101 Credit and Capital Markets 57 Duncker & Humblot 31-47 https://epub.uni-regensburg.de/id/eprint/76576 Christian Kreuzer Christopher Priberny Johannes Huther 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 comprising prosocial P2P loan applications obtained from the US P2P lending platform Kiva for the period of November 2011 to December 2022. Furthermore, I analyze how both indices are influenced by the COVID-19 pandemic. Interestingly, the measures for the current pandemic development show a negative impact on demand while the COVID-19 reproduction rate shows a positive relation, indicating a pro-active behavior of borrowers. On the other side, socially motivated lenders seem to be less generous in providing interest-free loans in times of a worsening pandemic. As it turns out, the risk-free interest level positively impacts demand and excess demand for prosocial lending on Kiva even though the loans were granted without any interest. article 2023 6 05 2199-1235,1865-5734 10.3790/ccm.56.1.5 Credit and Capital Markets 56 Duncker & Humblot 5-26 1 https://epub.uni-regensburg.de/id/eprint/53918 Christopher Priberny We analyze how board characteristics affect a company's carbon emissions besides further firm -related and cultural variables, using data on over 6,000 companies located in 46 countries for the period 2009-2019. We identify the boards that are more skilled or have a higher share of female members to emit a lower amount of greenhouse gases. Surprisingly, high CSR board efforts show higher carbon emissions. We observe that the importance of time varying effects within a company changed as a consequence of the Paris Agreement in 2015. article 2022 6 21 1544-6123,1544-6131 10.1016/j.frl.2022.103077 Finance Research Letters 49 ACADEMIC PRESS INC ELSEVIER SCIENCE

SAN DIEGO

103077 https://epub.uni-regensburg.de/id/eprint/52497 Christian Kreuzer Christopher Priberny article 2017 2 17 1062-9769 (online),1062-9769 (print) Quarterly Review of Economics and Finance 63 Elsevier 89-100 https://epub.uni-regensburg.de/id/eprint/33289 Gregor Dorfleitner Susann Just-Marx Christopher Priberny We empirically study social failures of microfinance institutions (MFIs). Besides various measures for the financial performance and outreach, we consider the relationship between several institutional variables and social failure. Regarding the relationship with the financial performance, we identify MFIs with good portfolio quality as being less prone to social failure. Also, MFIs with better measures for the quality of outreach appear to be less likely to fail socially. Finally, MFIs with a higher fraction of donations and regulated institutions exhibit a lower probability of social failure, while fast growing MFIs appear to show a positive correlation. (C) 2017 Elsevier Inc. All rights reserved. article 2017 1544-6123,1544-6131 10.1016/j.frl.2016.12.027 Finance Research Letters 22 ACADEMIC PRESS INC ELSEVIER SCIENCE

SAN DIEGO

81-89 https://epub.uni-regensburg.de/id/eprint/39312 Gregor Dorfleitner Christopher Priberny Michaela Röhe We examine the influence of soft factors on the probability of successful funding and on the default probability in peer-to-peer lending for two leading European platforms. Soft factors such as orthography, the share of non-mandatory information items provided and the mentioning of certain social keywords are derived from the loan applications. We find that soft factors do have a significant influence on the funding probability on the less restrictive of both platforms, which even accepts applications without credit scores. This platform shows a better risk-return profile. Moreover, soft factors do not clearly determine the default probability peer-to-peer lending. article 2016 3 01 Journal of Banking and Finance 64 Elsevier 169-187 https://epub.uni-regensburg.de/id/eprint/32875 Gregor Dorfleitner Christopher Priberny Stephanie Schuster Johannes Stoiber Martina Weber Ivan de Castro Julia Kammler We empirically study the determinants of failures of microfinance institutions based on the CAMELS rating components and microfinance-specific measures by applying probit regression techniques. Our findings confirm the capital adequacy (C), the asset quality (A), the management capability (M), the earnings (E), and the sensitivity to market risk (S) as explaining factors of failures of microfinance institutions. Regarding microfinance-specific effects, there is a positive influence of the percentage of female borrowers on the likelihood of failure. Moreover, we find evidence that regulation, the presence of donations, and the rapid growth of an MFI affect the probability of failure. article 2014 8 21 Social Science Research Network : SSRN https://epub.uni-regensburg.de/id/eprint/28742 Gregor Dorfleitner Michaela Leidl Christopher Priberny High microcredit interest rates cause fierce debates among practitioners, scholars and even the general public. To objectify these discussions this article investigates determinants of microcredit interest rates by using a worldwide data set of 712 microfinance institutions. We examine how cost factors, gender, regulation, lending methodology, and organizational type affect microcredit interest rates. Controlling for other microfinance- and country-specific factors, we identify the operating expenses as the main factor influencing microcredit interest rates. Furthermore, our findings show that microfinance institutions tend to subsidize interest rates charged with income from investments not related to their lending activities. article 2013 10 01 10.1080/09603107.2013.839860 Applied Financial Economics 23 Taylor & Francis 1579-1597 20 https://epub.uni-regensburg.de/id/eprint/28460 Gregor Dorfleitner Michaela Leidl Christopher Priberny Jacob von Mosch We develop a quantitative model for structured microfinance instruments, which are regarded as an important means for refinancing microfinance institutions. The quantitative credit risk model presented takes into account the peculiarities of microfinance institutions and can be used for pricing purposes and analyzing the risk inherence in different tranches of a structured microfinance investment vehicle. Additionally, we introduce an innovative pricing methodology that abstains from using the martingale probability measure. This approach is more appropriate for illiquid securitized debt of microfinance institutions. In a realistic application we check the robustness and demonstrate the advantages of the model presented. article 2013 2 28 10.1016/j.qref.2012.10.005 Quarterly Review of Economics and Finance 53 Elsevier 12-22 1 https://epub.uni-regensburg.de/id/eprint/13157 Gregor Dorfleitner Christopher Priberny We study the perception of risks in the funding of microfinance institutions. A survey addressed to microfinance institutions and their funding organizations reveals that several risk types, among them foreign exchange (FX) risk, are not considered to be as important as reported in the relevant literature. We obtain further insights into the FX risk management of microfinance actors and reveal that many FX risk mitigation strategies and hedging tools are rarely used in practice. article 2013 2 27 1925-4725,1925-4733 10.5539/jms.v3n2p68 Journal of Management and Sustainability 3 Canadian Center of Science and Education 68-78 2 https://epub.uni-regensburg.de/id/eprint/19650 Christopher Priberny Gregor Dorfleitner book_section 2011 978-3-540-92224-7; ISBN-10: 3540922245 Mobilising Capital for Emerging Markets: What Can Structured Finance Contribute? Springer

Berlin

und 137-154 https://epub.uni-regensburg.de/id/eprint/14786 Gregor Dorfleitner Michaela Leidl Christopher Priberny book_section 2008 10 978-3-89981-182-7 Hedge-Fonds - Chancen und Risiken FAZ-Institut für Management, Markt- und Medieninformationen

Frankfurt am Main

Günter Franke und Wolfgang Klein 143-234 https://epub.uni-regensburg.de/id/eprint/11449 Eva-Maria Ferstl Johannes Gerer Christopher Priberny Manuel Seitz