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This study examines key default determinants of fintech loans, using loan-level data from the LendingClub consumer platform during 2007–2018. We identify a robust set of contractual loan characteristics, borrower characteristics, and macroeconomic variables that are important in determining...
Persistent link: https://www.econbiz.de/10012372761
commitment has not yet been discussed in a crowdfunding context. Applying a signaling approach, our empirical findings show that …
Persistent link: https://www.econbiz.de/10011871515
The 27th SUERF Colloquium in Munich in June 2008: New Trends in Asset Management: Exploring the Implications was already topical in the Summer of 2008. The subsequent dramatic events in the Autumn of 2008 made the presentations in Munich even more relevant to investors and bankers that want to...
Persistent link: https://www.econbiz.de/10011705329
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The impact of technology-enabled (FinTech) lenders on bank credit is theoretically ambiguous. Banks can reduce credit if borrowing from FinTech lenders increases default risk. Alternatively, banks can provide more credit if such borrowing signals creditworthiness. I examine these possibilities...
Persistent link: https://www.econbiz.de/10011547586
The study of natural catastrophe models plays an important role in the prevention and mitigation of disasters. After the occurrence of a natural disaster, the reconstruction can be financed with catastrophe bonds (CAT bonds) or reinsurance. This paper examines the calibration of a real...
Persistent link: https://www.econbiz.de/10003633993
This paper examines the effects of the Federal Reserve’s Term Auction Facility (TAF) on the London Inter-Bank Offered Rate (LIBOR). The particular question investigated is whether the announcements and operations of the TAF are associated with downward shifts of the LIBOR; such an association...
Persistent link: https://www.econbiz.de/10003781580
In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...
Persistent link: https://www.econbiz.de/10003794031
Weather influences our daily lives and choices and has an enormous impact on cooperate revenues and earnings. Weather derivatives differ from most derivatives in that the underlying weather cannot be traded and their market is relatively illiquid. The weather derivative market is therefore...
Persistent link: https://www.econbiz.de/10003796146