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Measuring Regulatory Complexity

Abstract : Despite a heated debate on the perceived increasing complexity of financial regulation, there is no available measure of regulatory complexity other than the mere length of regulatory documents. To fill this gap, we propose to apply simple measures from the computer science literature by treating regulation like an algorithm - a fixed set of rules that determine how an input (e.g., a bank balance sheet) leads to an output (a regulatory decision). We apply our measures to the regulation of a bank in a theoretical model, to an algorithm computing capital requirements based on Basel I, and to actual regulatory texts. Our measures capture dimensions of complexity beyond the mere length of a regulation. In particular, shorter regulations are not necessarily less complex, as they can also use more "high-level" language and concepts. Finally, we propose an experimental protocol to validate measures of regulatory complexity.
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Preprints, Working Papers, ...
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Contributor : Antoine Haldemann <>
Submitted on : Friday, July 10, 2020 - 4:37:37 PM
Last modification on : Saturday, July 11, 2020 - 3:51:03 AM




Jean-Edouard Colliard, Co-Pierre Georg. Measuring Regulatory Complexity. 2020. ⟨hal-02896649⟩



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