Filling in the blanks: Network structure and interbank contagion
AbstractThe pattern of financial linkages is important in many areas of banking and finance. Yet bilateral linkages are often unknown, and maximum entropy serves as the leading method for estimating unobserved counterparty exposures. This paper proposes an efficient alternative that combines information-theoretic arguments with economic incentives to produce more realistic interbank networks that preserve important characteristics of the original interbank market. The method loads the most probable links with the largest exposures consistent with the total lending and borrowing of each bank, leading to networks with minimum density. When used in a stress testing context, the minimum density approach performs better than maximum entropy and also permits more robust analysis. Using the two benchmarks side by side helps identify a range of possible systemic risk outcomes when the true pattern of counterparty exposures is unknown. --
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Bibliographic InfoPaper provided by Deutsche Bundesbank, Research Centre in its series Discussion Papers with number 02/2014.
Date of creation: 2014
Date of revision:
interbank markets; networks; entropy; intermediation; systemic risk;
Find related papers by JEL classification:
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-03-15 (All new papers)
- NEP-BAN-2014-03-15 (Banking)
- NEP-NET-2014-03-15 (Network Economics)
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