We propose a quadratic term-structure model of the EURIBOR-OIS spreads. Contrary to OIS, EURIBOR rates incorporate credit and liquidity risks resulting in compensations for (a) facing default risk of debtors, and (b) possible unexpected funding needs on the lender’s side. Our approach allows...

This paper investigates whether there are bubbles in stock prices. We do this using a previously studied structural vector autoregressive (SVAR) model claiming to distinguish fundamental and non-fundamental shocks to real stock prices. TheSVAR model relies on an identification restriction in...

In this paper, we present a general discrete-time affine framework aimed at jointly modeling yield curves associated with different debtors. The underlying fixed-income securities may differ in terms of credit quality and/or in terms of liquidity. The risk factors follow conditionally Gaussian...

We exploit a unique monthly dataset of bank balance sheets to document the lending behaviour of euro area banks that were subject to the EBA's 2011/12 Capital Exercise. This exercise was announced in October 2011 and required large European banking groups to meet a higher Tier 1 capital ratio by...

We exploit the Eurosystem’s longer-term refinancing operations (LTROs) of 2011-2012 to analyze the effects that a large provision of central bank liquidity to banks has on the credit supply to firms. We control for credit demand by examining firms that borrow from several banks, in addition to...

This study is motivated by the development of credit-related instruments and signals of stock price movements of large banks during the recent financial crisis. What is common to most of the empirical studies in this field is that they concentrate on modeling the conditional mean. However,...

This paper presents a theoretical model of how banks set their credit standards. It examines how a monopoly bank sets its monitoring intensity in order to manage credit risk when it makes long duration loans to borrowers who have private knowledge of their project's stochastic profitability. In...

Long-run restrictions have been used extensively for identifying structural shocks in vector autoregressive (VAR) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper reviews and contrasts the volatility models that have...

In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance, assuming known dates for variance changes is often...

Tests for identification through heteroskedasticity in structural vector autoregressive analysis are developed for models with two volatility states where the time point of volatility change is known. The tests are Wald type tests for which only the unrestricted model including the covariance...