Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/260177 
Authors: 
Year of Publication: 
2016
Series/Report no.: 
Working Paper No. 2016:4
Publisher: 
Lund University, School of Economics and Management, Department of Economics, Lund
Abstract: 
In this paper (letter) I discuss how blockchains potentially could affect the way credit risk is modeled, and how the improved trust and timing associated with blockchain-enabled real-time accounting could improve default prediction. To demonstrate the (quite substantial) effect the change would have on well-known credit risk measures, a simple case-study compares Z-scores and Merton distances to default computed using typical accounting data of today to the same risk measures computed under a hypothetical future blockchain regime.
Subjects: 
blockchain
credit risk modeling
real-time accounting
JEL: 
G33
G39
M41
M42
Document Type: 
Working Paper

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