We examine a propagation mechanism that arises from households' long-term borrowing and show empirically that it has sizable real effects. The mechanism recognises that when there is long-term debt, an impulse to new borrowing generates a predictable hump-shaped path of future debt service. We...

We study the implications of forging stronger political ties with the US on the sensitivities of stock returns around the world to a global common factor - the global financial cycle. Using voting patterns at the United Nations as a measure of political ties with the US along with various...

We develop a micro-founded monetary model to inquire the role of a privately provided e-money instrument for household consumption smoothing and welfare. Different from fiat money, e-money users pay electronic transaction fees, but in turn e-money reduces spatial separation frictions and enables...

We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. Especially, we assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS models that allow us to forecast quarterly GDP growth...

We analyze the relationship of the distribution of future GDP growth and accumulation of household debt in Finnish macroeconomic data from 1980 to 2019. We find clear evidence that exuberant accumulation of household debt is related to the thickening of the left tail of the future growth...

While corporate credit losses have been low since the start of the Covid-19 pandemic, their future evolution is quite uncertain. Using a forecasting model with a solid track record, we find that the baseline scenario ("expected losses") is benign up to 2024. This is due to policy support...

The main contribution of this paper is the construction of a cyclical systemic risk indicator from early warning indicators of banking crises (EWIs) used in Finland. Previous research has shown that combining EWIs can enhance their early warning properties. This study evaluates the indicator's...

This paper presents a framework for quantifying uncertainty around point forecasts for GDP, inflation and house prices in Norway. The framework combines quantile regressions using a broad set of uncertainty indicators with a skewed t-distribution, allowing for time-variation and asymmetry in the...

This study aims to explore the extent to which changes in wealth contributes to inflation utilizing a highly flexible non-Gaussian SVAR framework which minimizes the risk of distributional misspecification. We employ narrative sign restrictions to label the asset price shock and leverage the...