Financial cycles have received a lot of attentions since the financial crises. In this paper we study what financial cycles are, what they look like in Denmark, and what their relationship is with the real economy. We show that medium term swings in house prices and credit should be used as an...

We analyse the costs and benefits of increasing capital requirements for Danish banks. Costs can be close to 0 if banks suspend dividend payments for a period of time as banks accumulate capital and if investors' required return falls. The latter implies that the Modigliani-Miller effect is...

This paper studies the cyclical properties of real GDP, house prices, credit, and nominal liquid financial assets in 17 EU countries, by applying several methods to extract cycles. The estimates confirm earlier findings of large medium-term cycles in credit volumes and house prices. GDP appears...

We analyse macro financial linkages in the Danish economy by estimating a structural VAR model using Bayesian techniques and construct a new financial condition index for the Danish economy. We measure financial conditions as the aggregate impact of financial variables on real activity from the...

This paper investigates the real-time effects of foreign exchange intervention using official intraday intervention data provided by the Danish central bank. Denmark is currently pursuing an active intervention policy under the provisions of the Exchange Rate Mechanism (ERM II) and intervenes on...

This paper investigates the intraday effects of unannounced foreign exchange intervention on bid-ask exchange rate spreads using official intraday intervention data provided by the Danish central bank. Our starting point is a simple theoretical model of the bid-ask spread which we use to...

Estimated DSGE models have become the standard workhorse model for empirically based macroeconomic analysis in recent years. In this paper, we present an estimated DSGE model for Denmark. The model has been estimated using Bayesian methods and a dataset consisting of 23 macroeconomic variables....