Regularities and Discrepancies of Credit Default Swaps: a Data Science approach through Benford's Law
Marcel Ausloos, Rosella Castellano, Roy Cerqueti

TL;DR
This study applies Benford's law to daily sovereign CDS spread changes across 13 European countries from 2008 to 2015, revealing country-specific and liquidity-related discrepancies and regularities in financial data.
Contribution
It introduces a novel application of Benford's law to monitor sovereign CDS data, providing insights into systemic irregularities and liquidity effects during a financial crisis period.
Findings
Differences in Benford's law conformity across countries and tenors.
Liquidity appears linked to higher data distortion.
Greece exhibits distinct deviation patterns from other countries.
Abstract
In this paper, we search whether the Benford's law is applicable to monitor daily changes in sovereign Credit Default Swaps (CDS) quotes, which are acknowledged to be complex systems of economic content. This test is of paramount importance since the CDS of a country proxy its health and probability to default, being associated to an insurance against the event of its default. We fit the Benford's law to the daily changes in sovereign CDS spreads for 13 European countries, - both inside and outside the European Union and European Monetary Union. Two different tenors for the sovereign CDS contracts are considered: 5 yrs and 10 yrs, - the former being the reference and most liquid one. The time period under investigation is 2008-2015 which includes the period of distress caused by the European sovereign debt crisis. Moreover, (i) an analysis over relevant sub-periods is carried out, (ii)…
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Taxonomy
TopicsBenford’s Law and Fraud Detection · Credit Risk and Financial Regulations
