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Eero Tölö

16 June 2015
WORKING PAPER SERIES - No. 1809
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Abstract
We construct a measure of a banks relative creditworthiness from Eurosystem’s proprietary overnight loan data: the bank’s “average overnight borrowing rate spread, relative to overnight rate index” (AOR). We investigate the dynamic relationship between the AOR and the credit default swap spread (CDS) of 60 banks in years 2008 - 2013. We find that in daily differences the AOR leads the CDS at least by one day. The lead is concentrated on days of market stress for banks which mainly borrow from “relationship” lender banks. Such borrower banks are typically smaller, have weak ratings, and likely reside in crisis countries. In longer differences, up to several weeks, both the AOR and the CDS have some predictive power over one another. In sum, overnight borrowing rates may provide additional early-warning indications on certain banks’ deteriorating financial health over and above bank CDS spreads.
JEL Code
G01 : Financial Economics→General→Financial Crises
G14 : Financial Economics→General Financial Markets→Information and Market Efficiency, Event Studies, Insider Trading
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages
9 June 2017
WORKING PAPER SERIES - No. 45
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Abstract
In several recent studies unit root methods have been used in detection of financial bubbles in asset prices. The basic idea is that fundamental changes in the autocorrelation structure of relevant time series imply the presence of a rational price bubble. We provide cross-country evidence for performance of unit-root-based early warning systems in ex-ante prediction of financial crises in 15 EU countries over the past three decades. We find especially high performance for time series that are explicitly related to debt, which issue signals a few years in advance of a crisis. Combining signals from multiple time series further improves the predictions. Our results suggest an early warning tool based on unit root methods provides a valuable accessory in financial stability supervision.
JEL Code
G01 : Financial Economics→General→Financial Crises
G14 : Financial Economics→General Financial Markets→Information and Market Efficiency, Event Studies, Insider Trading
G21 : Financial Economics→Financial Institutions and Services→Banks, Depository Institutions, Micro Finance Institutions, Mortgages