The paper establishes stylised facts about residential and commercial property prices focusing on 12 European markets over the sample 1984-2013. Using the measure of dynamic correlation and cohesion we look at the medium and long-term dynamics in the real estate markets. We investigate how do...

Using recent advances in time-varying spectral methods, this research analyses the growth cycles of the core of the euro area in terms of frequency content and phasing of cycles. The methodology uses the continuous wavelet transform (CWT) and also Hilbert wavelet pairs in the setting of a...

We employ a detailed two-stage model to simulate the operation of the Central Eastern European electricity market and network. Implementing different cases of coordination in congestion management between national transmission system operators, numerical results show the beneficial impact of...

We propose a framework for estimating time-varying systemic risk contributions that is applicable to a high-dimensional and interconnected financial system. Tail risk dependencies and systemic risk contributions are estimated using a penalized two-stage fixed-effects quantile approach, which...

Accurate information about electricity generation and consumption is crucial to power system modelling. Several institutions publish such data: for European countries these include the association of system operators ENTSO-E, the EU body Eurostat, and the International Energy Agency; for Germany...

This paper assesses the economic implications of the United Kingdom leaving the European Union. The basic data on trade in goods and services and investment between the two parties suggest that cost of ‘Brexit’ could be substantial. Trade between the UK and the EU27 is large and of a similar...

The economic effects of climate change on agriculture have been widely assessed in the last two decades. Many of these assessments are based on the integration of biophysical and agro-economic models, allowing to understand the physical and socio-economic responses of the agricultural sector to...