Measuring Systemic Risk-Adjusted Liquidity (SRL) [electronic resource] : A Model Approach, Jobst, Andreas.

Jobst, Andreas.
Washington, D.C. : International Monetary Fund, 2012.
IMF eLibrary
IMF Working Papers; Working Paper No. 12/209.
IMF Working Papers; Working Paper No. 12/209
Government document
1 online resource (69 p.)
Local subjects:
Asset liquidation.
Banking sector.
Bond prices.
Bond yields.
Cash flow.
Cash flow models.
Cash flows.
Contingent Pricing.
Deposit insurance.
Deposit insurance premiums.
Derivative assets.
Derivative contract.
Discount rate.
Discounted present value.
Economic models.
Equity capital.
Equity market.
Equity markets.
Financial bond.
Financial contagion.
Financial economics.
Financial instability.
Financial institutions.
Financial intermediaries.
Financial intermediation.
Financial markets.
Financial sector.
Financial services.
Financial stability.
Financial statements.
Financial system.
Financial systems.
Futures Pricing.
Government bond.
Government bond yields.
Government Policy and Regulation.
Liquidity support.
Model Construction and Estimation.
Money market.
Money market interest.
Money market interest rates.
Money market investments.
Moral hazard.
Net cash flows.
Operations Research.
Option valuation.
Other Depository Institutions.
Partial derivative.
Present value.
Reserve requirement.
Risk management.
Risk-free interest rate.
Savings deposits.
Statistical Decision Theory.
Stock market.
Valuation of assets.
United States.
Little progress has been made so far in addressing—in a comprehensive way—the externalities caused by impact of the interconnectedness within institutions and markets on funding and market liquidity risk within financial systems. The Systemic Risk-adjusted Liquidity (SRL) model combines option pricing with market information and balance sheet data to generate a probabilistic measure of the frequency and severity of multiple entities experiencing a joint liquidity event. It links a firm’s maturity mismatch between assets and liabilities impacting the stability of its funding with those characteristics of other firms, subject to individual changes in risk profiles and common changes in market conditions. This approach can then be used (i) to quantify an individual institution’s time-varying contribution to system-wide liquidity shortfalls and (ii) to price liquidity risk within a macroprudential framework that, if used to motivate a capital charge or insurance premia, provides incentives for liquidity managers to internalize the systemic risk of their decisions. The model can also accommodate a stress testing approach for institution-specific and/or general funding shocks that generate estimates of systemic liquidity risk (and associated charges) under adverse scenarios.
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Jobst, Andreas.
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