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Measuring systemic risk-adjusted liquidity (SRL)—A model approach
Institution:1. School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China;2. Center for Energy and Environmental Policy Research, Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;3. USEK Business School, Holy Spirit University of Kaslik Jounieh, Lebanon;4. Center for Energy and Sustainable Development, Montpellier Business School, Montpellier, France;5. Montpellier Business School, Montpellier, France
Abstract:Little progress has been made so far in addressing—in a comprehensive way—the negative externalities caused by excessive maturity transformation and the implications for effective liquidity regulation of banks. The SRL model combines option pricing theory with market information and balance sheet data to generate probabilistic measure of systemic liquidity risk. It enhances price-based liquidity regulation by linking a bank’s maturity mismatch impacting the stability of its funding with those characteristics of other banks, subject to individual changes in risk profiles and common changes in market conditions impacting funding and market liquidity risk. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to expected losses from system-wide liquidity shortfalls and (ii) to price insurance premia that provide incentives for banks to internalize the social cost of their individual funding decisions.
Keywords:Systemic risk  Liquidity risk  Net Stable Funding Ratio (NSFR)  Extreme value theory  Financial contagion  Macroprudential policy  Liquidity regulation
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