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Alessandro Calza
- 30 July 2021
- WORKING PAPER SERIES - No. 2579Details
- Abstract
- We use a unique dataset of ratings for euro area corporate loans from commercial banks’ internal rating-based (IRBs) systems and central banks’ in-house credit assessment systems (ICASs) to investigate whether banks’ IRB ratings underestimate the credit risk of their corporate loan portfolios when the latter are used as collateral in the Eurosystem’s monetary policy operations. We are able to identify systematic risk underestimation by comparing the IRB ratings with those produced for the same borrowers by the ICASs. Our results show that while they are on average more conservative than ICASs for the entire population of rated corporate loans, IRBs are significantly less conservative than ICASs for those loans that are actually used as Eurosystem collateral, particularly for large loans. The less conservative estimates of risk by IRBs relative to ICASs can be partly explained by banks’ liquidity constraints, but not by their degree of capitalisation. Overall, our findings suggest the existence of a collateral-related channel through which the use of IRB ratings may influence the internal estimation of risk by banks.
- JEL Code
- G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G28 : Financial Economics→Financial Institutions and Services→Government Policy and Regulation
- 17 May 2019
- OCCASIONAL PAPER SERIES - No. 223Details
- Abstract
- This paper summarises the outcomes of the analysis of the ECB Crypto-Assets Task Force. First, it proposes a characterisation of crypto-assets in the absence of a common definition and as a basis for the consistent analysis of this phenomenon. Second, it analyses recent developments in the crypto-assets market and unfolding links with financial markets and the economy. Finally, it assesses the potential impact of crypto-assets on monetary policy, payments and market infrastructures, and financial stability. The analysis shows that, in the current market, crypto-assets’ risks or potential implications are limited and/or manageable on the basis of the existing regulatory and oversight frameworks. However, this assessment is subject to change and should not prevent the ECB from continuing to monitor crypto-assets, raise awareness and develop preparedness.
- JEL Code
- E42 : Macroeconomics and Monetary Economics→Money and Interest Rates→Monetary Systems, Standards, Regimes, Government and the Monetary System, Payment Systems
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
G23 : Financial Economics→Financial Institutions and Services→Non-bank Financial Institutions, Financial Instruments, Institutional Investors
O33 : Economic Development, Technological Change, and Growth→Technological Change, Research and Development, Intellectual Property Rights→Technological Change: Choices and Consequences, Diffusion Processes
- 18 February 2019
- WORKING PAPER SERIES - No. 2243Details
- Abstract
- Do negative policy rates hinder banks’ transmission of monetary policy? To answer this question, we examine the behaviour of Italian mortgage lenders using a novel loan-level dataset. When policy rates turn negative, banks with higher ratios of retail overnight deposits to total assets charge more on new fixed rate mortgages. This suggests that the funding structure of banks may matter for the transmission of negative policy rates, especially for long-maturity illiquid assets. Nevertheless, the aggregate economic implications for households are small, suggesting that concerns about inefficient monetary policy transmission to households under modestly negative rates are likely overstated.
- 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
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages - Network
- Research Task Force (RTF)
- 8 July 2015
- WORKING PAPER SERIES - No. 1824Details
- Abstract
- We estimate the shoe-leather costs of inflation in the euro area using monetary data adjusted for holdings of euro banknotes abroad. While we find evidence of marginally negative shoe-leather costs for very low levels of the nominal interest rate, our estimates suggest that the shoe-leather costs are non-negligible even for relatively moderate levels of anticipated inflation. We conclude that, despite the increased circulation of euro banknotes abroad, in the euro area the inflation tax is still predominantly borne by domestic agents, with transfers of resources from abroad remaining small.
- JEL Code
- E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
- 13 April 2011
- WORKING PAPER SERIES - No. 1326Details
- Abstract
- Empirical studies of the "shoe-leather" costs of inflation are typically computed using M1 as a measure of money. Yet, official data on M1 includes all currency issued, regardless of the country of residence of the holder. Using monetary data adjusted for US dollars abroad, we show that the failure to control for currency held by non residents may lead to significantly overestimating the shoe-leather costs for the domestic economy. In particular, our estimates of shoe-leather costs are minimized for a positive but moderate value of the inflation rate, thereby justifying a deviation from the Friedman rule in favour of the Fed's current policy.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 25 June 2010
- WORKING PAPER SERIES - No. 1218Details
- Abstract
- Estimates of the welfare costs of inflation based on Bailey (1956) are typically computed using aggregate money demand models. Yet, the behavior of money demand may vary across sectors. Thus, the impact on welfare of inflation regime shifts may differ between households and firms. We specifically investigate the sectoral welfare implications of the shift from the Great Inflation to the present regime of low and stable inflation. For this purpose, we estimate different functional specifications of money demand for US households and non-financial firms using flow-of-fund data covering four decades. We find that the benefits were significant for both sectors.
- JEL Code
- E31 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles→Price Level, Inflation, Deflation
E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
- 16 July 2009
- WORKING PAPER SERIES - No. 1069Details
- Abstract
- We study how the structure of housing finance affects the transmission of monetary policy shocks. We document three main facts: first, the features of residential mortgage markets differ markedly across industrialized countries; second, and according to a wide range of indicators, the transmission of monetary policy shocks to residential investment and house prices is significantly stronger in those countries with larger flexibility/development of mortgage markets; third, the transmission to consumption is stronger only in those countries where mortgage equity release is common and mortgage contracts are predominantly of the variable-rate type. We build a two-sector DSGE model with price stickiness and collateral constraints and analyse how the response of consumption and residential investment to monetary policy shocks is affected by alternative values of two institutional features: (i) down-payment rate; (ii) interest rate mortgage structure (variable vs. fixed rate). In line with our empirical evidence, the sensitivity of both variables to monetary policy shocks increases with lower values of the down-payment rate and is larger under a variable-rate mortgage structure.
- JEL Code
- E21 : Macroeconomics and Monetary Economics→Consumption, Saving, Production, Investment, Labor Markets, and Informal Economy→Consumption, Saving, Wealth
E44 : Macroeconomics and Monetary Economics→Money and Interest Rates→Financial Markets and the Macroeconomy
E52 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Monetary Policy
- 30 April 2008
- WORKING PAPER SERIES - No. 890Details
- Abstract
- This paper tests whether the proposition that globalisation has led to greater sensitivity of domestic inflation to the global output gap (the “global output gap hypothesis”) holds for the euro area. The empirical analysis uses quarterly data over the period 1979-2003. Measures of the global output gap using two different weighting schemes (based on PPPs and trade data) are considered. We find little evidence that global capacity constraints have either explanatory or predictive power for domestic consumer price inflation in the euro area. Based on these findings, the prescription that central banks should specifically react to developments in global output gaps does not seem to be justified for the euro area.
- JEL Code
- E3 : Macroeconomics and Monetary Economics→Prices, Business Fluctuations, and Cycles
F4 : International Economics→Macroeconomic Aspects of International Trade and Finance
- 24 February 2006
- WORKING PAPER SERIES - No. 592Details
- Abstract
- This paper investigates possible non-linearities in the dynamics of the euro area demand for the narrow aggregate M1. A long-run money demand relationship is firstly estimated over a sample period covering the last three decades. While the parameters of the relationship are jointly stable, there are indications of non-linearity in the residuals of the error-correction model. This non-linearity is explicitly modelled using a fairly general Markov switching error-correction model with satisfactory results. The empirical findings of the paper are consistent with theoretical predictions stemming from "buffer stock" and "target-threshold" models and with analogous empirical evidence for European countries and the US.
- JEL Code
- E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
- 4 October 2005
- OCCASIONAL PAPER SERIES - No. 37Details
- Abstract
- For central banks, the monitoring of financing conditions plays a pivotal role in assessing the actual transmission of monetary policy impulses to borrowers. This paper presents in detail some of the indicators and data used by the ECB to assess financing conditions in the euro area. It also shows how these indicators have been used to provide a broad assessment of developments in financing conditions in the euro area in recent years. The ECB's analysis of financing conditions is dynamic and seeks to reflect underlying changes in the euro area's financial structure.
- JEL Code
- G20 : Financial Economics→Financial Institutions and Services→General
G30 : Financial Economics→Corporate Finance and Governance→General
E40 : Macroeconomics and Monetary Economics→Money and Interest Rates→General
- 27 April 2005
- WORKING PAPER SERIES - No. 481Details
- Abstract
- This paper investigates whether output and inflation respond asymmetrically to credit shocks in the euro area. The methodology, based on a non-linear VAR system, follows work by Balke (2000) for the US. The results reveal evidence of threshold effects related to credit conditions in the economy. Consistent with this finding, the impulse responses show some signs of asymmetric responses over the lending cycle.
- JEL Code
- E51 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→Money Supply, Credit, Money Multipliers
C15 : Mathematical and Quantitative Methods→Econometric and Statistical Methods and Methodology: General→Statistical Simulation Methods: General
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
- 1 September 2003
- WORKING PAPER SERIES - No. 261Details
- Abstract
- Based on a literature review, this paper investigates the reasons why broad money demand has usually been found to be more stable in the euro area than in other large economies. The paper concludes that there are three main explanations for this fact. First, in some countries outside the euro area the sources of instabilities in money demand were country-specific. Second, financial innovation appears to have had a weaker impact on money demand in the euro area than in other economies. A third explanation is that there are gains in terms of stability in aggregating the money demand of the individual euro area countries.
- JEL Code
- E41 : Macroeconomics and Monetary Economics→Money and Interest Rates→Demand for Money
C22 : Mathematical and Quantitative Methods→Single Equation Models, Single Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models &bull Diffusion Processes
C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes - Network
- Background study for the evaluation of the ECB's monetary policy strategy
- 1 January 2003
- WORKING PAPER SERIES - No. 202Details
- Abstract
- This paper provides new evidence on the behaviour of euro area aggregate loans to the private sector. Using a sample covering the last twenty years, a cointegrating vector linking the real stock of loans to a small set of domestic macroeconomic variables is found. Besides real GDP and prices, this set includes a new measure of the cost of loans obtained as a weighted average of bank lending rates. The results are overall encouraging, though the recursive estimates of the long-run parameters suggest that in 2000 some disturbances, probably of a temporary nature, affected the system. The study then addresses the issue of the leading indicator properties of loans. It finds that the deviations of the real stock of loans from the equilibrium level implied by the model seem to contain information on future changes in inflation, though not on its level.
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C51 : Mathematical and Quantitative Methods→Econometric Modeling→Model Construction and Estimation
- 1 April 2001
- WORKING PAPER SERIES - No. 55Details
- Abstract
- This paper studies the determinants of loans to the private sector in the euro area. Using the Johansen methodology, the study identifies one cointegrating relationship linking real loans, GDP and interest rates. This relationship implies that in the long-run real loans are positively related to real GDP and negatively to real short-term and long-term interest rates. Both the signs and the magnitude of the coefficients suggest that the cointegrating vector describes a long-run demand equation. The short-run dynamics of the demand for euro area real loans is subsequently modelled by means of a Vector Error Correction Model (VECM). A number of specification tests performed on the VECM produce satisfactory results, with tests of stability of the model parameters showing no signs of structural breaks during the sample period (1980 Q1 - 1999 Q2). All of this suggests that developments in real loans to the private sector in the euro area can be reasonably explained by the model
- JEL Code
- C32 : Mathematical and Quantitative Methods→Multiple or Simultaneous Equation Models, Multiple Variables→Time-Series Models, Dynamic Quantile Regressions, Dynamic Treatment Effect Models, Diffusion Processes
C51 : Mathematical and Quantitative Methods→Econometric Modeling→Model Construction and Estimation