Cryptocurrencies have recently gained a lot of interest from investors, central banks and governments worldwide. The lack of any form of political regu- lation and their market far from being “efficient”, require new forms ...

Literature review

This paper proposes a novel asymmetric continuous probabilistic score (ACPS) for evaluating and comparing density forecasts. It extends the proposed score and defines a weighted version, which emphasizes regions of interest, ...

We propose a novel and numerically efficient quantification approach to forecast uncertainty of the real price of oil using a combination of probabilistic individual model forecasts. Our combination method extends earlier ...

This report, ‘Recommendations for the Sharing Economy: (Re-)Balancing Power’, forms one element of a European Union Horizon 2020 Research Project on the sharing economy: Ps2Share ‘Participation, Privacy, and Power in the ...

I denne rapporten vurderer vi reguleringer av fjernvarmesektoren i Norge. Utgangspunktet for analysen er hensynet til en samfunnsøkonomisk effektiv energiforsyning. Prinsippene for effektive investeringer i energiinfra ...

We assess the importance of residential investment in predicting economic recessions for an unbalanced panel of 12 OECD countries over the period 1960Q1–2014Q4. Our approach is to estimate various probit models with di↵erent ...

Norsk økonomi går godt. En viktig grunn til dette er petroleumsnæringens bidrag til økt produktivitet i resten av økonomien. Men flere varsellamper blinker. Den senere tid har produktivitetsveksten vært avtagende. Høyere ...

The nonlinear nexus between financial conditions indicators and the conditional distribution of GDP growth has recently been challenged. We show how one can use textual economic news combined with a shallow Neural Network ...