This paper provides an exposition of the nature, means of estimation and uses of Financial Conditions Indexes (FCIs) and their relationship to the more common Monetary Conditions Indexes (MCIs) that are used by market analysts, international organisations and central banks. Using panel datasets...

We study whether the mechanism design in the central bank liquidity auctions matters for the interbank money market interest rate levels and volatility. Furthermore, we compare different mechanisms to sell liquidity in terms of revenue, efficiency and auction stage interest rate levels and...

On 3 July 2015, SUERF organized its sixth joint conference with the Bank of Finland in Helsinki on the subject of liquidity and market efficiency. The one-day program consisted of an opening speech, six presentations, including three keynotes, and a lunchtime address. The present SUERF Study...

We ask which part of the observed cross-country differences in the level of per capita income can be accounted for by monopoly rights in the labour market. We answer this question in a calibrated growth model with two final goods sectors. The novel feature being that monopoly rights in the...

The Hilbert-Huang transform (HHT) was developed late last century but has still to be introduced to the vast majority of economists. The HHT transform is a way of extracting the frequency mode features of cycles embedded in any time series using an adaptive data method that can be applied...

This paper derives and estimates an aggregate Euler consumption equation which allows one to compare the importance of collateral constraints and non-separability of consumption and leisure as alternative sources of excess sensitivity of consumption to current income. Estimation results suggest...

We model banks’ loan losses with a panel of European countries for the period 1982–2012 using three country-specific macro variables: output growth shocks, real interest rates, and a measure of excessive private sector indebtedness. We find that a drop in output has an intensified impact on...

This paper presents first steps toward robust early-warning models. We conduct a horse race of conventional statistical methods and more recent machine learning methods. As early-warning models based upon one approach are oftentimes built in isolation of other methods, the exercise is of high...

This paper investigates leading indicators of systemic banking crises in a panel of 11 EU countries, with a particular focus on Finland. We use quarterly data from 1980Q1 to 2013Q2, in order to create a large number of macro-financial indicators, as well as their various transformations. We make...