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.
| Original language | English |
|---|---|
| Number of pages | 12 |
| Publication status | Published - 2016 |
Publication series
| Name | Working Papers |
|---|---|
| Publisher | Lund University, Department of Economics |
| No. | 2016:4 |
Subject classification (UKÄ)
- Economics
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Blockchains, Real-time Accounting, and the Future of Credit Risk Modeling
Byström, H., 2019 May 1, In: Ledger. 4, p. 40-47 8 p.Research output: Contribution to journal › Article › peer-review
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