Forfattere til Working Papers og fagfællebedømte udgivelser
Navn
| TItel | Afdeling |
Abildgren, Kim
| Chefrådgiver
| Økonomi og Pengepolitik
|
Adolfsen, Jakob Feveile
| Seniorøkonom
| Økonomi og Pengepolitik
|
Andersen, Henrik Yde
| Seniorøkonom
| Økonomi og Pengepolitik
|
Andersen, Svend Greniman
| Seniorøkonom
| Finansiel Stabilitet
|
Hviid, Simon Juul
| Seniorøkonom
| Økonomi og Pengepolitik
|
Jensen, Thais Lærkholm
| Chef for Data Analytics and Science
| Finansiel Statistik
|
Korsgaard, Søren
| Senior Quantitative Analyst
| Bank og Marked
|
Kuchler, Andreas
| Principal Economist
| Økonomi og Pengepolitik
|
Matin, Rastin
| Senior Quantitative Risk Analyst
| Finansiel Stabilitet
|
Martinello, Alessandro
| Principal Data Scientist
| Finansiel Statistik
|
Mikkelsen, Jakob Guldbæk
| Principal Quantitative Analyst
| Finansiel Stabilitet
|
Mirone, Giorgio
| Senior Quantitative Analyst
| Finansiel Stabilitet
|
Nielsen, Søren Truels
| Chef for Retail Payments and Data
| Finansiel Stabilitet
|
Rommer, Anne Dyrberg
| Chef for Resolution Task Force
| Finansiel Stabilitet
|
Sangill, Thomas
| Chef for Systemic Risk Analysis and Policy
| Finansiel Stabilitet
|
Forfattere til udgivelser fra Danmarks Nationalbank
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.