The paper shows that uninformed finance gives rise to excessive entry, both in human-capital-intensive and in conventional industries when the financial institutions cannot identify the entrepreneurial talent. Introduction of informed capital (eg venture capital finance) with superior screening...

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...

We model a banker's future bonuses as a series of call options on the bank's profits and show that bonus caps and deferrals reduce risk-taking. However, the banker's optimal risk-taking also depends on the costs of risk-taking. We calibrate the model to US banking data and show that lengthening...

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 studies the impact of uncertainty on the investors' reactions to news on macroeconomic statistics. With daily data on realized volatility and trading volume, we show that the investors in the US Treasury bond futures market react significantly stronger to US macroeconomic news in...