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Creation date: 2025-07-22
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13
The perception of Brexit uncertainty and how it affects markets_百利宫_百利宫娱乐平台¥官网
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
2025
4
14
2199-1235,2199-1227
Credit and Capital Markets
57
Duncker & Humblot
1-17
https://epub.uni-regensburg.de/id/eprint/76576
Christian
Kreuzer
Christopher
Priberny
Johannes
Huther
Cryptocurrencies as a vehicle for capital exodus: Evidence from the Russian–Ukrainian crisis_百利宫_百利宫娱乐平台¥官网
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
The impact of COVID-19 on demand and lending behavior in prosocial P2P lending_百利宫_百利宫娱乐平台¥官网
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
To green or not to green: The influence of board characteristics on carbon emissions_百利宫_百利宫娱乐平台¥官网
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
What drives the repayment of agricultural micro loans? Evidence from Nicaragua_百利宫_百利宫娱乐平台¥官网
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
Why do microfinance institutions fail socially? A global empirical examination_百利宫_百利宫娱乐平台¥官网
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
R?he
Description-text related soft information in peer-to-peer lending - Evidence from two leading European platforms_百利宫_百利宫娱乐平台¥官网
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
Explaining Failures of Microfinance Institutions_百利宫_百利宫娱乐平台¥官网
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
What determines microcredit interest rates?_百利宫_百利宫娱乐平台¥官网
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
A quantitative model for structured microfinance_百利宫_百利宫娱乐平台¥官网
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
Risk perception and foreign exchange risk management in microfinance_百利宫_百利宫娱乐平台¥官网
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
Microcredit as an Asset Class: Structured Microfinance_百利宫_百利宫娱乐平台¥官网
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
Wie k?nnen Privatanleger durch den Einsatz von Hedge-Fonds profitieren?_百利宫_百利宫娱乐平台¥官网
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