Authors of Working Papers and Refereed Publications
Name
| Position
| Department
|
Abildgren, Kim
| Chief Adviser
| Economics and Monetary Policy
|
Adolfsen, Jakob Feveile
| Senior Economist
| Economics and Monetary Policy
|
Andersen, Henrik Yde
| Senior Economist
| Economics and Monetary Policy
|
Andersen, Svend Greniman
| Senior Economist
| Financial Stability
|
Hviid, Simon Juul
| Senior Economist
| Economics and Monetary Policy
|
Jensen, Thais Lærkholm
| Head of Data Analytics and Science
| Financial Statistics
|
Korsgaard, Søren
| Senior Quantitative Analyst
| Banking and Markets
|
Kuchler, Andreas
| Principal Economist
| Economics and Monetary Policy
|
Matin, Rastin
| Senior Quantitative Analyst
| Financial Stability
|
Martinello, Alessandro
| Principal Data Scientist
| Financial Statistics
|
Mikkelsen, Jakob Guldbæk
| Principal Quantitative Analyst
| Financial Stability
|
Mirone, Giorgio
| Senior Quantitative Analyst
| Financial Stability
|
Nielsen, Søren Truels
| Head of Retail Payments and Data
| Financial Stability
|
Rommer, Anne Dyrberg
| Head of Resolution Task Force
| Financial Stability
|
Sangill, Thomas
| Head of Systemic Risk Analysis and Policy
| Financial Stability
|
Authors of Danmarks Nationalbank's Publications
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.