We develop a dynamic multi-region model, with fluctuating regional house prices, where an owner-occupied household’s location choice depends on its current wealth and its current type and involves both consumption and investment considerations. The relative strength of the consumption motive...

Empirical evidence suggests that local jurisdictions are internally more heterogeneous than standard sorting models predict. We develop a dynamic multi-region model, with fluctuating regional house prices, where an owner-occupying household’s location choice depends on its current wealth and...

We study how a household borrowing constraint the the form of a down payment requirement affects house price dynamics in an OLG model with standard preferences. We find that in certain situations the borrowing constraint shapes house price dynamics substantially. The importance of the constraint...

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...

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...