Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

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Location & approach

By car

The campus of TU Dortmund University is located close to interstate junction Dortmund West, where the Sauerlandlinie A45 (Frankfurt-Dortmund) crosses the Ruhrschnellweg B1 / A40. The best interstate exit to take from A45 is “Dortmund-Eichlinghofen” (closer to South Campus), and from B1 / A40 “Dortmund-Dorstfeld” (closer to North Campus). Signs for the university are located at both exits. Also, there is a new exit before you pass over the B1-bridge leading into Dortmund.

For travelling to the Department of Statistics, convenient parking places can be found at Vogelpothsweg (Gates 21 / 24) or alternatively at the Otto-Hahn-Straße (Gates 28 / 30 / 35).

By train and bus

TU Dortmund University has its own train station (“Dortmund Universität”). From there, suburban trains (S-Bahn) leave for Dortmund main station (“Dortmund Hauptbahnhof”) and Düsseldorf main station via the “Düsseldorf Airport Train Station” (take S-Bahn number 1, which leaves every 15 or 30 minutes). The university is easily reached from Bochum, Essen, Mülheim an der Ruhr and Duisburg.

You can also take the bus or subway train from Dortmund city to the university: From Dortmund main station, you can take any train bound for the Station “Stadtgarten”, usually lines U41, U45, U 47 and U49. At “Stadtgarten” you switch trains and get on line U42 towards “Hombruch”. Look out for the Station “An der Palmweide”. From the bus stop just across the road, busses bound for TU Dortmund University leave every ten minutes (445, 447 and 462). Another option is to take the subway routes U41, U45, U47 and U49 from Dortmund main station to the stop “Dortmund Kampstraße”. From there, take U43 or U44 to the stop “Dortmund Wittener Straße”. Switch to bus line 447 and get off at “Dortmund Universität S”.

The H-Bahn

The H-Bahn is one of the hallmarks of TU Dortmund University. There are two stations on North Campus. One (“Dortmund Universität S”) is directly located at the suburban train stop, which connects the university directly with the city of Dortmund and the rest of the Ruhr Area. Also from this station, there are connections to the “Technologiepark” and (via South Campus) Eichlinghofen. The other station is located at the dining hall at North Campus and offers a direct connection to South Campus every five minutes.

By plane

The AirportExpress is a fast and convenient means of transport from Dortmund Airport (DTM) to Dortmund Central Station, taking you there in little more than 20 minutes. From Dortmund Central Station, you can continue to the university campus by interurban railway (S-Bahn). A larger range of international flight connections is offered at Düsseldorf Airport (DUS), which is about 60 kilometres away and can be directly reached by S-Bahn from the university station.

Plan of site & interactive map

The facilities of TU Dortmund University are spread over two campuses, the larger Campus North and the smaller Campus South. Additionally, some areas of the university are located in the adjacent "Technologiepark".

> Go to interactive map

ServicePortal UniMail

Chair

Prof. Dr. Matei Demetrescu

Contact

TU Dortmund University
Department of Statistics
Chair of Econometrics and Statistics
CDI Building, Room 7
44221 Dortmund
Germany

E-mail: mdeme@statistik.tu-dortmund.de
Tel.: +49 231 755 3125

Portrait photo of Matei Demetrescu

Short CV

2014–2022 Professor of statistics and applied econometrics at the University of Kiel
2010–2014 Professor of econometrics at the University of Bonn
2008–2010 Junior professor of applied econometrics at the Goethe University in Frankfurt
2009 PhD in Industrial Engineering at the “Politehnica” University Bucharest (supervised by Hans-Dieter Heike)
2007 Max Weber post-doc fellowship at the European University Institute, Florence
2005 PhD in Economics at the Goethe University Frankfurt (supervised by Uwe Hassler)
2000 Diploma in Engineering and Business Administration at the “Politehnica” University, Bucharest

Research Interests

Forecasting

Financial data
Predictive modelling
Forecast comparisons

Complex data

Large-N large-T panel data
Cross-unit dependence
Quantile panel regressions

Publications

Selected publications:

Hoga, Y. and Demetrescu, M. (2022). Monitoring Value-at-Risk and Expected Shortfall Forecasts. Management Science 69 (5), 2954-2971. DOI.
Demetrescu, M., Georgiev, I., Rodrigues, P. M. M., and Taylor, A. M. R. (2022). Testing for Episodic Predictability in Stock Returns. Journal of Econometrics 227 (1), 85-113. DOI.
Demetrescu, M. and Hassler, U. (2016). (When) Do Long Autoregressions Account for Neglected Changes in Parameters?. Econometric Theory 32(6). 1317-1348. DOI.
Breitung, J. and Demetrescu, M. (2015). Instrumental Variable and Variable Addition Based Inference in Predictive Regressions. Journal of Econometrics 187(1), 358-375. DOI.
Demetrescu, M. (2007). Optimal Forecast Intervals Under Asymmetric Loss. Journal of Forecasting 26(4), 227-238. DOI.

A complete list of publications can be found below in Further information.

Teaching

Regular courses

Case Studies
Econometrics
Panel Data Econometrics
Statistical Theory

Further courses

Time Series Econometrics (Seminar) (Winter 2023/24)
Forecasting in Data-Rich Environments (Seminar) (Winter 2022/23)
Econometric Forecasting (Summer 2022)
Predictive regressions for stock returns (Seminar) (Summer 2022)

Further information

Curriculum vitae