Kerstin Bernoth

Forecasting the fragility of the banking and insurance sectors

This paper considers the issue of forecasting financial fragility of banks and insurances using a panel data set of performance indicators, namely distance-to-default, taking unobserved common factors into account. We show that common factors are important in the performance of banks and insurances, analyze the influences of a number of observable factors on banking and insurance performance, and evaluate the forecasts from our model. We find that taking unobserved common factors into account reduces the the root mean square forecasts error of firm specific forecasts by up to 11% and of system forecasts by up to 29% relative to a model based only on observed variables. Estimates of the factor loadings suggest that the correlation of financial institutions has been relatively stable over the forecast period.

The macroeconomic determinants of private equity investment: a European comparison

A strong private equity (PE) market is a cornerstone for commercialization and innovation in modern economies. However, substantial differences exist in the relative amounts raised and invested in PE across European countries. We investigate the macroeconomic determinants of PE investment in Europe, focusing on the comparison between Central and Eastern European (CEE) and Western European countries. Our estimations are based on a data set running from 2001 to 2011 that covers 16 countries. Applying robust estimation techniques, we identify a ‘robust’ set of determinants of PE activity in both regions. We find similarities as well as differences in the driving forces of PE investments in Western European and CEE countries. Our results suggest that economic activity, the inflation rate, equity market capitalization, unit labour costs, the unemployment rate as well the the institutional and legal environment are significant determinants of PE activity.

The Forward Premium Puzzle and Latent Factors Day by Day

We use futures instead of forward rates to study the complete maturity spectrum of the forward premium puzzle from two days to six months. At short maturities the slope coefficient is positive, but these turn negative as the maturity increases to the monthly level. Futures data allow us to control for the influence of an unobserved factor that can be decomposed into a contract-specific and a time-to-maturity effect. Once we do this, we find that the coefficients on the forward premium are much closer to one. The latent factor is shown to be related to conventional proxies of risk.

The Forward Premium Puzzle Only Emerges Gradually

The forward premium puzzle (FPP) is the negative correlation between the forward premium and the realized exchange rate return at maturities of a month and beyond. Some recent evidence shows that at maturities of multiple years and at the highest intra day frequency the correlation is positive and close to one. This paper contributes by using futures data instead of forwards to complete the maturity spectrum at the (multi-) day level. We find that the correlation only slowly turns negative as the number of days to maturity is increased to the monthly level. The typical shape of the premium correlation with regard to the forward maturity length appears to be V-shaped.