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Dimitrios Laliotis

28 May 2015
Financial Stability Review Issue 1, 2015
The weight of non-performing exposures (NPEs) on the balance sheets of European banks is a cause for concern for policy-makers; yet resolving the issue presents a number of challenges. This special feature presents an overview of the scale of the NPE problem, highlights several operational aspects that are critical for effectively resolving the problem, and outlines the merits of various resolution strategies.
JEL Code
G00 : Financial Economics→General→General
4 October 2018
This study provides a conceptual and monitoring framework for systemic liquidity, as well as a legal assessment of the possible use of macroprudential liquidity tools in the European Union. It complements previous work on liquidity and focuses on the development of liquidity risk at the system-wide level. A dashboard with a total of 20 indicators is developed for the financial system, including banks and non-banks, to assess the build-up of systemic liquidity risk over time. In addition to examining liquidity risks, this study sheds light on the legal basis for additional macroprudential liquidity tools under existing regulation (Article 458 of the Capital Requirements Regulation (CRR), Articles 105 and 103 of the Capital Requirements Directive (CRD IV) and national law), which is a key condition for the implementation of macroprudential liquidity tools.
10 July 2019
We assess the effects of regulatory caps in the loan-to-value (LTV) ratio using agent-based models (ABMs). Our approach builds upon a straightforward ABM where we model the interactions of sellers, buyers and banks within a computational framework that enables the application of LTV caps. The results are first presented using simulated data and then we calibrate the probability distributions based on actual European data from the HFCS survey. The results suggest that this approach can be viewed as a useful alternative to the existing analytical frameworks for assessing the impact of macroprudential measures, mainly due to the very few assumptions the method relies upon and the ability to easily incorporate additional and more complex features related to the behavioral response of borrowers to such measures.
JEL Code
D14 : Microeconomics→Household Behavior and Family Economics→Household Saving; Personal Finance
D31 : Microeconomics→Distribution→Personal Income, Wealth, and Their Distributions
E50 : Macroeconomics and Monetary Economics→Monetary Policy, Central Banking, and the Supply of Money and Credit→General
R21 : Urban, Rural, Regional, Real Estate, and Transportation Economics→Household Analysis→Housing Demand