Stress-testing of liquidity risk in TARGET2
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1 Stress-testing of liquidity risk in TARGET2 14th Payment and Settlement System Simulation Seminar Helsinki, August 2016 Alexander Müller Deutsche Bundesbank 1
2 Disclaimer The involved colleagues are members of one of the user groups with access to TARGET2 data in accordance with Article 1(2) of Decision ECB/2010/9 of 29 July 2010 on access to and use of certain TARGET2 data. The Central Banks of the involved colleagues and the MIPC and MIB have checked the presentation against the rules for guaranteeing the confidentiality of transaction-level data pursuant to Article 1(4) of the above mentioned issue. The views expressed in the paper and the presentation are solely those of the involved colleagues and the presenter and do not necessarily represent the views of the Eurosystem. 2
3 Overview Stress-testing framework Simulator setup and methodology Results Conclusion 3
4 The Group on TARGET2 Stress-Testing The stress-testing was performed by the Group on TARGET2 Stress-Testing (GTST), a group of overseers and operators working for a range of central banks in the Eurosystem: Luca Arciero (Banca d Italia) Juan Carlos Frutos (Banco de España) Matti Hellqvist (European Central Bank) Patrick Heyvaert (Nationale Bank van België/Banque Nationale de Belgique) Alexandros Kaliontzoglou (Bank of Greece) Ronald König (Deutsche Bundesbank) Kasperi Korpinen (Bank of Finland) Clement Martin (Banque de France) Alexander Müller (Deutsche Bundesbank) Patrick Papsdorf (European Central Bank) Coordination Miguel Perez-García (Banco de España) Maxime Ponsart (Banque de France) Edoardo Rainone (Banca d Italia) Peter Rosenkranz (European Central Bank) Sara Testi (European Central Bank) 4
5 Stress-testing of liquidity risk in TARGET2 STRESS-TESTING FRAMEWORK 5
6 Background Risk in TARGET2 TARGET2: RTGS system owned and operated by the Eurosystem Exposed to and addresses various risks including legal, operational or general business risks Focus on liquidity risk Defined here as the possibility that one (or more) participants lack payment capacity in their TARGET2 account, and thus cannot execute payments in a timely manner (delayed payments) or cannot execute them at all (unsettled payments), giving rise to potential contagion The system operator as such does not incur any liquidity risk as payments are final and irrevocable 6
7 Legal basis TARGET2 is an identified Eurosystem Systemically Important Payment System (SIPS) Has to comply with the ECB Regulation on oversight requirements for systemically important payment systems (SIPS R) SIPS R defines the oversight requirements for SIPS by implementing the CPMI-IOSCO PFMI Article 8 of the Regulation requires that an FMI has the ability to include stress tests in its risk management process in order to address liquidity risk 7
8 Sources of liquidity shortages Liquidity sources: balances, incoming payments, intraday credit Focus on stress caused by reduction in the availability and value of eligible collateral Reduce the value of TARGET2 intraday credit line and thereby overall available liquidity 8
9 Stress-testing of liquidity risk in TARGET2 SIMULATOR SETUP AND METHODOLOGY 9
10 Scenario setup Scenario definition System-wide shock, i.e. all euro-denominated securities are affected Clean Cut as main scenario, marketable and non-marketable assets affected Three degrees of severity: 30%, 50%, 70% Scenario implementation Quantify impact for each bank and calculate adapted credit line Dataset with the new values is generated Data range October/November reserve maintenance period 10
11 Assumptions Collateral deterioration Focus on intraday credit line Additional effects of a drop in collateral value are not considered Other FMI Interaction of TARGET2 with other financial market infrastructures and reactions of these to the stress scenario not considered T2 Simulator simulates only T2 Participants No behavioural reactions in TARGET2 and outside TARGET2 Typical challenge in studies based on simulations using historic data Credit Lines For some central banks providing intraday credit outside TARGET2, a proxy had to be used 11
12 Stress-testing of liquidity risk in TARGET2 RESULTS 12
13 Unsettled payments in terms of value 13
14 Categories of unsettled payments in terms of value 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 30% cut50% cut70% cut30% cut50% cut70% cut30% cut50% cut70% cut30% cut50% cut70% cut30% cut50% cut70% cut30% cut50% cut70% cut Customer payments Interbank payments Ancillary systems Central Bank operations 14
15 Participants with unsettled payments % cut 50% cut 70% cut 15
16 Average daily queued payment value Billions % cut 50% cut 70% cut 16
17 Delay indicator 0,09 0,08 0,07 0,06 0,05 0,04 0,03 0,02 0, Benchmark 30% cut 50% cut 70% cut Details on methodology: Kaliontzoglou, Alexandros and Alexander Mueller (2016): Implementation Aspects of Indicators Related to Payments Timing. In M. Diehl, B. Alexandrova-Kabadjova, R. Heuver, & S. Martínez-Jaramillo (Eds.) Analyzing the Economics of Financial Market Infrastructures (pp ). Hershey, PA: Business Science Reference. 17
18 Participants with a negative EOD balance % cut 50% cut 70% cut 18
19 Percentage value settled using collateral (2012) 14% 12% 10% 8% 6% 4% 2% 0% Benchmark cut 30% cut 70% 19
20 Robustness checks Scenarios only affecting marketable assets Regionally limited scenarios affecting eligible collateral issued by entities resident in that region Results confirmed 20
21 Stress-testing of liquidity risk in TARGET2 CONCLUSION 21
22 Main results The TARGET2 stresstesting demonstrates that the system is resilient under stress and liquidity levels seem to be appropriate and supported by the efficient liquidity management features of TARGET2 Six different output indicators show expected and robust results Severe effects can be observed for a few single days Even in the worst scenarios 80-90% of TARGET2 turnover would have been settled Impact of unconventional monetary policy 22
23 Thank you for your attention! Now, stress-test the presenter by asking questions 23
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