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Olivier Vergote
- 26 September 2022
- WORKING PAPER SERIES - No. 2732Details
- Abstract
- We study how banks manage their liquidity among the various assets at their disposal. We exploit the introduction of the ECB’s two-tier system which heterogeneously reduced the cost of additional reserves holdings. We find that the treated banks increase reserve holdings by borrowing on the interbank market, decreasing lending to affiliates of the same group, and selling marketable securities. We also find that banks have a preference for a stable portfolio composition of liquid assets over time. Our results imply that frictions in one market for liquidity can spill over to several markets.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 12 September 2022
- OCCASIONAL PAPER SERIES - No. 302Details
- Abstract
- This paper reviews the experience of the ECB with the two-tier system for excess reserve remuneration that exempted a portion of banks’ excess liquidity (EL) holdings from the negative interest rate of the ECB’s deposit facility.
- JEL Code
- E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G11 : Financial Economics→General Financial Markets→Portfolio Choice, Investment Decisions
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
- 6 July 2020
- WORKING PAPER SERIES - No. 2439Details
- Abstract
- This paper investigates motives of banks to borrow funds from the ECB through its first two series of targeted longer-term refinancing operations (TLTROs) allotted between September 2014 and March 2017. We quantify that the top-three parameters that determine banks’ take-up decisions are the price of the operation, the amount of eligible collateral of the bank, and the composition of that collateral. In particular, the opportunity for banks to transform their less liquid assets partly into liquid central bank reserves by pledging these assets as collateral with the central bank is a strong motive for take-up and suggests that accepting a broad set of collateral was important for the monetary easing provided by TLTROs. In addition, we find that the conditions attached to TLTRO participation and take-up played an important role in creating broad-based participation across banks of different financial strength and size.
- JEL Code
- C23 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Panel Data Models, Spatio-temporal Models
C24 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Truncated and Censored Models, Switching Regression Models
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
- 22 March 2018
- ECONOMIC BULLETIN - BOXEconomic Bulletin Issue 2, 2018Details
- Abstract
- This box describes the ECB's monetary policy operations during the seventh and eighth reserve maintenance periods of 2018, which ran from 1 November to 19 December 2017 and from 20 December 2017 to 30 January 2018 respectively. During this period, the interest rates on the main refinancing operations (MROs), the marginal lending facility and the deposit facility remained unchanged at 0.00%, 0.25% and -0.40% respectively.
- JEL Code
- E40 : Macroeconomics and Monetary Economics→Money and Interest Rates→General
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
- 14 November 2017
- OCCASIONAL PAPER SERIES - No. 200Details
- Abstract
- Since 2008, excess liquidity – defined as the sum of holdings of central bank reserves in excess of reserve requirements and holdings of equivalent central bank deposits – has tended to accumulate in specific euro area countries and in a small, slowly changing group of credit institutions. Despite the stability of the concentration of excess liquidity in specific countries over time, the relevance of individual drivers has changed. First, risk aversion has played a much smaller role in explaining the concentration since 2013 than it did at the time of “flight-to-quality” phenomena in the period 2010-12. Second, the location of the relevant market infrastructures (i.e. central securities depositories, securities settlement systems and TARGET2 accounts) used by counterparties that sold assets to the Eurosystem has been a more important driver directing flows in the period 2015-16. In addition, the more recent concentration of excess liquidity is explained by the combination of a number of factors, such as banks following strict internal credit limits, investment incentives created by yield differences across the euro area and the “home bias” in euro area government bond holdings. Overall, the net cross-border flows of liquidity that resulted also determined TARGET2 balances. At the individual bank level, when controlling for banks’ capital, non-performing loans, credit risk and profitability, excess liquidity holdings in relation to total assets are found to be higher for smaller and better-capitalised banks, and for banking groups with liquidity centralised at the head institution. In addition, participation in Eurosystem longer-term refinancing operations and deposit inflows are associated with liquidity accumulation. Finally, new regulatory initiatives such as the liquidity coverage ratio are explained to be creating incentives to hold or not to distribute liquidity, thereby affecting its distribution.
- JEL Code
- E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
G01 : Financial Economics→General→Financial Crises
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
D39 : Microeconomics→Distribution→Other
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
- 16 May 2017
- OCCASIONAL PAPER SERIES - No. 191Details
- Abstract
- This paper investigates the interrelations between monetary macro- and microprudential policies. It first provides an overview of the three policies, starting with their main instruments and objectives. Monetary policy aims at maintaining price stability and promoting balanced economic growth, macroprudential policies aim at safeguarding the stability of the overall financial system, while microprudential policies contribute to the safety and soundness of individual entities. Subsequently, the paper provides a simplified description of their respective transmission mechanisms and analyses the interactions between them. A conceptual framework is first presented on the basis of which the analysis of the interactions across the different policies can be demonstrated in a stylised manner. These stylised descriptions are then further complemented by model-based simulations illustrating the significant complementarities and interactions between them. Finally, the paper concludes that from a conceptual point of view there are numerous areas of interaction between the policies. These create scope for synergies, which can be reaped by sharing information and expertise across the various policy areas.
- JEL Code
- E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 27 April 2016
- WORKING PAPER SERIES - No. 1898Details
- Abstract
- This paper presents time-varying contagion indices of credit risk spillover and feedback between 64 financials and sovereigns in the euro area, where spillover is identified based on bilateral Granger causality regressions. Over-identification of contagion between financials
- JEL Code
- C45 : Mathematical and Quantitative Methods→Econometric and Statistical Methods: Special Topics→Neural Networks and Related Topics
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E65 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Studies of Particular Policy Episodes
G01 : Financial Economics→General→Financial Crises
G13 : Financial Economics→General Financial Markets→Contingent Pricing, Futures Pricing
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
H81 : Public Economics→Miscellaneous Issues→Governmental Loans, Loan Guarantees, Credits, Grants, Bailouts
- 28 February 2014
- WORKING PAPER SERIES - No. 1642Details
- Abstract
- Policy impact studies often suffer from endogeneity problems. Consider the case of the ECB Securities Markets Programme: If Eurosystem interventions were triggered by sudden and strong price deteriorations, looking at daily price changes may bias downwards the correlation between yields and the amounts of bonds purchased. Simple regression of daily changes in yields on quantities often give insignificant or even positive coefficients and therefore suggest that SMP interventions have been ineffective, or worse counterproductive. We use high frequency data on purchases of the ECB Securities Markets Programme and sovereign bond quotes to address the endogeneity issues. We propose an econometric model that considers, simultaneously, first and second conditional moments of market price returns at daily and intradaily frequency. We find that SMP interventions succeeded in reducing yields and volatility of government bond segments of the countries under the programme. Finally, the new econometric model is broadly applicable to market intervention studies.
- JEL Code
- E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
G12 : Financial Economics→General Financial Markets→Asset Pricing, Trading Volume, Bond Interest Rates
C58 : Mathematical and Quantitative Methods→Econometric Modeling→Financial Econometrics
- 28 October 2011
- WORKING PAPER SERIES - No. 1391Details
- Abstract
- This paper analyses changes in short-term interest rate expectations and uncertainty during ECB Governing Council days. For this purpose, it first extends the estimation of risk-neutral probability density functions up to tick frequency. In particular, the non-parametric estimator of these densities, which is based on fitting implied volatility curves, is applied to estimate intraday expectations of threemonth EURIBOR three months ahead. The estimator proves to be robust to market microstructure noise and able to capture meaningful changes in expectations. Estimates of the noise impact on the statistical moments of the densities further enhance the interpretation. In addition, the paper assesses the impact of the ECB communication during Governing Council days. The results show that the whole density may react to the communication and that such repositioning of market participants
- JEL Code
- C14 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Semiparametric and Nonparametric Methods: General
E43 : Macroeconomics and Monetary Economics→Money and Interest Rates→Interest Rates: Determination, Term Structure, and Effects
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
E58 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Central Banks and Their Policies
E61 : Macroeconomics and Monetary Economics→Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook→Policy Objectives, Policy Designs and Consistency, Policy Coordination
- 14 May 2010
- OCCASIONAL PAPER SERIES - No. 111Details
- Abstract
- This paper analyses the main drivers of the ECB
- JEL Code
- D21 : Microeconomics→Production and Organizations→Firm Behavior: Theory
D92 : Microeconomics→Intertemporal Choice→Intertemporal Firm Choice, Investment, Capacity, and Financing
E22 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Capital, Investment, Capacity
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy - Network
- Eurosystem Monetary Transmission Network