区块链、实时会计和信用风险建模的未来

IF 0.6 Q4 ECONOMICS

Ledger Pub Date : 2019-04-30 DOI:10.5195/LEDGER.2019.100

H. Byström

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引用次数: 56

摘要

在这篇论文中，我讨论了区块链如何潜在地影响信用风险的建模方式，以及与区块链实时会计相关的信任和时间的改善如何改善违约预测。为了证明这一变化将对众所周知的信用风险指标产生（相当大的）影响，一个简单的案例研究将使用当今典型会计数据计算的Z分数和默顿违约距离与在假设的未来区块链制度下计算的相同风险指标进行了比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Blockchains, Real-time Accounting, and the Future of Credit Risk Modeling

In this paper 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.

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来源期刊

Ledger Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)

CiteScore

2.20

自引率

0.00%

发文量

审稿时长

40 weeks