This paper provides an early warning indicator for bubbles in financial markets. The indicator is based on traditional unit root tests, more precisely on the augmented Dickey-Fuller test and may be used in a repeated manner with rolling samples. The performance of the indicator is tested...

To promote the financial stability, there is a need for an early warning system to signal the formation of asset price misalignments. This research provides two novel methods to accomplish this task. Results in this research shows that the conventional unit root tests in modified forms can be...

We present a model of risky debt in which collateral value is correlated with the possibility of default. The model is then used to study: 1) the expected amount of debt recovered in the event of default as a function of collateral; and 2) the amount of collateral needed to mitigate the...

Building on the work of Sorge and Virolainen (2006), we revisit the data on aggregate Finnish bank loan losses from the corporate sector, which covers the ‘Big Five’ crisis in Finland in the early 1990s. Several extensions to the empirical model are considered. These extensions are then used...

Interest rate risk is a major concern for banks because of the nominal nature of their assets and the asset-liability maturity mismatch. This paper proposes a new way to derive a bank’s interest rate sensitivity, by examining separately the effects of interest rate changes on existing loans...

The purpose of this paper is to provide an explanation for relative pricing of futures contracts with respect to underlying stocks using a model incorporating short sales constraints and informational lags between the two markets. In this model stocks and futures are perfect substitutes, except...

Using a sample of 161 global banks in 23 countries, we examine the applicability of structural models and bank fundamentals to price global bank credit risk. First, we find that variables predicted by structural models (leverage, volatility, and risk-free rate) are significantly associated with...

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...

I propose a financial stress index (FSI) for the Finnish financial system that aims to reflect the functionality of the financial system and provide an aggregate measure of financial stress in the money, bond, equity and foreign exchange markets and the banking sector. The FSI is a composite...