Authors of Working Papers and Refereed Publications
Abildgren, Kim
Adolfsen, Jakob Feveile
Andersen, Henrik Yde
Andersen, Svend Greniman
Carlsen, Maria
Cokayne, Grame Stuart
Ejsing, Jacob Wellendorph
Hviid, Simon Juul
Jensen, Thais Lærkholm
Korsgaard, Søren
Kuchler, Andreas
Matin, Rastin
Martinello, Alessandro
Mikkelsen, Jakob Guldbæk
Mirone, Giorgio
Nielsen, Søren Truels
Pedersen, Jesper
Rommer, Anne Dyrberg
Sangill, Thomas
Spange, Morten
Authors of Danmarks Nationalbank's Publications
Andersen, Nicolai Møller
Gladov, Tommy Meng
Hvolbøl, Tina Saaby
Jørgensen, Casper Winther Nguyen
Kramp, Paul Lassenius
Mortensen, Anne Ulstrup
Nilsson, Thomas Christian
Oksbjerg, Martin
Rasmussen, Katrine Skjærbæk
Risbjerg, Lars
Specialized Research teams
Data Analytics and Science
The Data Analytics and Science section explores new technologies, including machine learning, which may support data analysis in the bank. Furthermore, the section analyses business needs related to data analysis in the bank and facilitates competence development related to analytical work. The section is led by Thais Lærkholm Jensen, assisted by Alessandro Martinello
Quant group
The quant group is a forum for financial modelling involving economists and financial experts from across several Danmarks Nationalbank’s departments. The group's main focus is on applied work supporting analysis and decision making in the areas of asset and debt management, monetary policy and financial stability. The Quant group is led by Jacob Wellendorph Ejsing.
Modelling team
MONA is a quarterly macroeconometric model of the Danish economy estimated using quarterly data starting in 1971. It is demand-driven in the short run and supply-driven in the long run. The model is used as a tool for making economic projections and for assessing the impact of changes in the drivers of the business cycle. Members of the Modelling team are Jesper Pedersen and Morten Werner