Econometrics

A Joint MSc Program of the UA Ruhr Universities
TU Dortmund University
Ruhr University Bochum
University of Duisburg-Essen

Logo of TU Dortmund University
Logo of Ruhr-University Bochum
Logo of University of Duisburg-Essen

About the Program

Econometrics is a four-semester, English-language master’s program of TU Dortmund University (TUDO), Ruhr-University Bochum (RUB) and the University of Duisburg-Essen (UDE). The program is offered jointly by the faculties of economics of the three universities and the Department of Statistics @ TU Dortmund University. It combines the expertise and breadth of the participating faculties in empirical economic research and economics with the methodically oriented training of the statisticians and econometricians at Germany’s only Department of Statistics. This unique combination of training and research skills allows to offer a specialized curriculum for quantitatively-oriented students which covers a wide range of topics in econometrics and applied economics.

Students acquire the ability to combine methodological competence with proficiency in economics. They gain extensive knowledge of econometric methods and models and an in-depth understanding of central economic causal relationships and resulting econometric issues. The program particularly supports research-interested students in developing analytical skills with regard to specific research questions in economics and thus prepares optimally for a doctorate in econometrics or neighbouring disciplines. The master’s program in Econometrics thus prepares well for a career in econometrics, empirical economic research, and evidence-based policy consulting.

Graduates receive a joint MSc degree from the four participating faculties.

Impressions of UAR Campus

University Alliance Ruhr

Despite being one of the youngest university regions in the country, the Ruhr region has the densest educational landscape in Europe with a total of 22 universities and colleges. The University Alliance Ruhr (UAR) is a joint venture of TUDO, RUB and UDE. With more than 120.000 students and almost 1.300 professors, the UAR is Germany’s largest academic hub. It, among others, initiates cooperations in research, teaching and administration. Both the education of economists and economic research benefit from these joint activities, in particular through the RWI - Leibniz Institute for Economic Research and the RGS - Ruhr Graduate School in Economics, which offers a fast-track PhD program in economics. Excellent graduates of Econometrics thus have good prospects for pursuing a further career in academics or economic research.

Map showing locations of UAR universities

Studying and Living in the Ruhr Area

Good news: both national and international students (including non-EU students) can study at the UAR universities for free – there are no tuition fees. You only pay about €320 per semester to cover administrative costs and to give you access to free public transport in the region (semester ticket). Also Students in Germany benefit from affordable health insurance plans.
Furthermore, the Ruhr area has everything required to make the most of student’s life: affordable accommodation, jobs and a wide range of cultural, sporting and leisure activities. Moreover, with the semester ticket being valid for whole North Rhine-Westphalia one easily gets from place to place in the entire area quickly using public transportation. Attending several courses at different locations is thus no problem, even on the same day.

The student unions of the three universities mediate accommodation in student halls of residence and are happy to help you find a room on the local private housing market.

Requirements & Application

Interested in taking up the Master’s program in Econometrics? Please make sure that you are eligible for application and check that you meet the below criteria.

Intake is every fall. The application phase starts on March 15.

Deadline for applicants with a last relevant educational qualification from countries outside the European Union is July 15.

Please note that prospective students from India are now required to provide an APS certificate with their application.

For applicants who have obtained their last relevant educational qualification in Germany (educational residents), the enrollment is possible from mid-June until the last Friday prior to the lecture period of the winter term. For further information please visit the website of the examination office at TU Dortmund University (information in German only).

For applicants with a qualification from a member state of the European Union, the application term is the same as for educational residents.

Please note that it may take several weeks for the International Office @ TU Dortmund University to process your application. The period between confirmation of admission and the beginning of the semester may be short, if the documents are submitted late. In order to ensure sufficient time for the organisation of a visa, accommodation etc. we advise international applicants from non-EU countries in particular to apply as early as possible.

We look forward to your application!

Qualifying Degrees

The program is aimed at quantitatively oriented students with a strong interest to acquire the necessary theoretical foundations for a career in econometric research. Especially the core modules are demanding in terms of mathematical rigor!

A BSc or equivalent degree in Economics, Mathematics, Statistics or a related discipline is required. At least 15 ECTS in both Economics and mathematics/statistics/econometrics are required.

Candidates who do not fully meet these credit requirements may in general be admitted on the condition that they successfully complete certain undergraduate level courses. If admission is subject to conditions, applicants will be informed thereof in their notification of admission. In any case, a regular application must first be submitted in due time.

Details on qualifying degrees and grade requirements can be found at the department page.

Self-Assessment

Every applicant must complete a self-assessment. However, this assessment is not a test that you can fail: we want applicants to assess their knowledge of statistics, economics, and econometrics so that specific pre-courses can be taken, if necessary.

The self-assesment can be downloaded here.

Please click here to submit your self-assessment.

Academic Curriculum Vitae

Applicants must submit an essay (Academic CV) on their academic background in view of the pursued master program on Econometrics. We strongly encourage you to use our PDF questionnaire.

Please click here for the Academic CV form.

English Language Proficiency

Econometrics is an English-language Master’s program. Candidates must provide evidence of sufficient knowledge of English (at least level B2). We accept the following proofs:

  • a German certificate of general qualification for university entrance (English from 5th or 7th grade up to the Abitur)
  • an internationally recognised language certificate
  • a diploma from an English-speaking school or an English-speaking course of study
  • comparable evidence


Please note: requirements outlined here are subject to change and not legally binding. Please visit the department website for current official information on admission requirements and the application process.

To submit your application, click here.

Coordinators

Portrait of Christoph Hanck

Christoph Hanck

University of Duisburg-Essen

Christoph Hanck is Professor of Econometrics at University of Duisburg-Essen since August 2012. He received his doctorate in 2007, supervised by Prof. Dr. Walter Krämer, from TU Dortmund University. He subsequently joined the DFG Sonderforschungsbereich ‘Complexity Reduction in Multivariate Data Structures’ to then become a Postdoctoral Researcher at Maastricht University in 2008. From 2009 to 2012 he was Assistant and later Associate Professor in Statistics and Econometrics at Rijksuniversiteit Groningen. His research focuses on the analysis of nonstationary panel data and macroeconometrics. He is a faculty member of the Ruhr Graduate School in Economics.

Portrait of Carsten Jentsch

Carsten Jentsch

TU Dortmund University

Carsten Jentsch studied mathematics with a minor in business administration at TU Braunschweig from 2001 to 2007, where he received his doctorate in 2010. After a research stay at UC San Diego he became postdoc at the Economics faculty of the University of Mannheim in 2011 and at the SFB 884 ‘The Political Economy of Reforms’. Since 2015 he has been a member of the Elite Program for Postdocs of the Baden-Württemberg Foundation. After holding professorships at the Universities of Bayreuth and Mannheim, he has been working at TU Dortmund University since summer 2018. He is a faculty member of the Ruhr Graduate School in Economics.

Portrait of Christoph M. Schmidt

Christoph M. Schmidt

Ruhr University Bochum

Since 2002 Christoph M. Schmidt is head of the RWI - Leibniz Institute for Economic Research and professor at the Ruhr-Universität Bochum. He was member of the German Council of Economic Experts from 2009 to 2020 and was its Chairman from March 2013 to February 2020. Since 2019 he is member, and since 2020 co-chairman of the Franco-German Council of Economic Experts. Schmidt received his Ph.D. from Princeton University in 1991 and completed his habilitation in 1995 at the Ludwig-Maximilians-Universität (LMU) of Munich. From 1995 to 2002 Schmidt was a full professor for Econometrics at the Universität Heidelberg. Since 1992 he has been a Research Affiliate of the Centre for Economic Policy Research (CEPR), London, since 1996 a CEPR Research Fellow, and since 1998 he is also a Research Fellow at the Institute for the Study of Labor (IZA), Bonn.

Program Structure

The program is divided into compulsory modules, elective courses and closes with the master thesis. In four compulsory modules (ME1 - ME4) with a total amount of 42 credit points, you acquire a sound knowledge in statistics, econometrics and time series analysis. The core curriculum also conveys skills in applied research, statistical programming, research project management and statistical consulting.

Elective modules (ME5 - ME6) train students in economic theory (ME5) and provide further specialization in applied (ME6) and theoretical econometrics (ME7).

In ME6 and ME7, students focus on a specific field of research according to their individual preferences. This results in a flexible number of credits to be acquired by electives, which must, however, amount to a minimum of 11 and a maximum of 26 credit points in each of the elective module areas.

While core modules and many electives are taught in English, students have the opportunity to attend selected courses held in German.

The current examination regulations can be found here. Click here for viewing the German version. Amendments to the current examination regulations can be found here. Please note that only the (German) documents published at the homepage of the Department of Statistics @ TU Dortmund are legally binding. The information displayed here is for orientation only. This also applies to the module overview below.

Semester plans


ME8: Master Thesis


The master thesis demonstrates that students are able to independently apply and adapt scientific methods to an econometric problem within a given period of time. The processing time is six months. Topics for final theses are offered each semester by several university lecturers, so that students can choose between different offers. Students can also make their own suggestions for topics.

ME4: Time Series Analysis


The course initially covers methods of descriptive time series analysis. Then, structural theory and estimation of time series models are discussed. Core topics include approximation and elimination of trends, the theory of linear filters, ‘naive’ forecasting, exponential smoothing, stationary stochastic processes, optimal linear forecasts, ARMA-processes, the autocorrelation function, model identification and parameter estimation in the time domain.

ME6: Applied Econometrics


ME6 includes courses that focus on the application of advanced econometric methods to selected economic problems whereby emphasis is typically set on acquisition, processing and analysis of real data sets. In many courses, participants acquire in-depth knowledge in statistical programming.

  • Econometric Analysis of Electricity and Financial Markets
  • Applied Time Series Analysis in Macroeconometrics
  • Topics in Economic Policy Evaluation
  • Microeconometrics in Health Economics
  • Econometric Applications in Monetary Economics

Electives

Participants acquire knowledge about current theoretical developments in micro- or macroeconomics, applied econometrics and econometric methods by attending selected courses from blocks ME5: Economics, ME6: Applied Econometrics and ME7: Econometric Methods. Focus lies on the discussion, adaptation and application of various econometric tools on the one hand and on advanced and up-to-date topics of economic interest on the other hand. .

ME5: Economics


Many econometric methods have been developed in line with developments in economics. Therefore, it is important for our students to be familiar with more recent theoretical developments and thus potential areas of application of econometric methods. Depending on the field of interest, the courses have a micro- or macroeconomic orientation. The curriculum covers a variety of courses from the following disciplines:

  • Applied Macro- and Microeconomics
  • Dynamic Macroeconomics
  • Game Theory
  • Health Economics
  • Public Economics
  • Financial Economics

ME7: Econometric Methods


Modules in ME7 have a strong methodological orientation, i.e. students have the opportunity to acquire in-depth knowledge of econometric methods in selected fields, for example:

  • Stochastic Processes
  • Unit Root and Cointegration Analysis
  • Analysis of Big Data and Machine Learning
  • Bayesian Econometrics
  • Multivariate Statistical Methods
  • Advanced Microeconometrics

ME1a: Statistical Theory

Participants learn to use the formal language of statistics and gain knowledge of fundamental concepts in stochastics, decision theory and probability theory which are required to analyze, apply and further develop statistical procedures.

ME1b: Asymptotic Theory

The course Asymptotic Theory deals with asymptotic properties of statistical methods and presents various central limit theorems used in statistics. Participants learn to use the formal language of statistics and gain knowledge of fundamental concepts in stochastics and mathematical statistics.

ME2: Econometrics


ME2 deals with a wide range of fundamental econometric methods. Special emphasis is placed on asymptotic results to allow for a general discussion of the statistical properties of these methods. The main focus lies on a formally precise description of the concepts. Topics include the linear regression model, the generalized linear regression model, maximum likelihood estimation and inference, asymptotic theory, endogenous regressors, instrumental variables, generalized method of moments and regression models for time series data, among others.

ME3: Case Studies


The participants solve statistical problems in larger group projects, usually using raw economic data. They are trained in applied research and acquire skills in presenting statistical results and various interdisciplinary qualifications such as teamwork and know-how in project management, communication and consulting. Furthermore, students expand their methodological knowledge and gather experience in statistical programming.

Further information on the individual course areas can be viewed by clicking in the interactive semester plan above.


Please note that the semester plans presented here are for orientation only: they are intended to give you an overview over the modules and the distribution of credit points. Modules are arranged over the course of semesters in a way we consider beneficial for study progress. However, students are free to decide in which order they complete core courses and electives.

For more information on the structure and content of the individual courses, please refer to the module manual or use the interactive table below. If you have any further questions regarding the curriculum please contact our coordinators.

Course Overview

Please note that there is no guarantee for completeness of the below course overview at semester start. We strive to keep the list up to date. However, there may be delays, e.g., in case of last-minute decisions about the inclusion of new modules. We generally recommend to consult the course catalogs of the participating faculties for complete listings.


FAQs

I am a prospective Student from India. Do I need an APS certificate?

Yes: applicants from India have to have their academic certificates checked by the Academic Evaluation Centre (APS India) of the German Embassy in New Delhi before they can apply for German master programs. After a positive review, they receive an APS certificate, which must be submitted as part of the application. See the APS website for further info.

I have already completed a Master’s program in X at the University of Y, but am nevertheless interested in attending the MSc Econometrics. Can I still apply?

Yes.

Am I eligible to apply?

Yes, everybody is eligible to apply. If you are eligible to be admitted will be checked once you submit a full application with all required documents as described here.

Is it possible to take up studies in the summer semester?

No. The program can only be taken up in winter.

I have been admitted to the program on conditions. Does this affect my recommended course of study?

Depending on the conditions imposed, it may be advisable to take pre-courses and, in particular, to complete the core curriculum in a specific order. Please check with us if you are in doubt about the effect of admission conditions on your specific course of study.

In my admission letter, I am being told about a requirement to earn missing qualifications in subject X. I however believe that I have already fulfilled these qualifications. What should I do?

Please contact us to discuss this matter.

I just enrolled. Is there any other recent information that might be helpful to get started in Dortmund?

Yes, we’ve for example got a moodle page for our students. Please contact us for enrolment details.

I would like to refresh my knowledge in statistics before starting my studies. Is there a preliminary course?

We are currently designing a preliminary course. Additional information follows.

I feel that I might need to brush up on my math skills before starting the program. What should I do?

Please contact us for further information and suggestions as to what to do.

Due to the Corona pandemic, it is difficult for me to obtain the required English language certificates at the moment. What can I do?

In this case, please supply any suitable available evidence of your proficiency in English, e.g., other certifications or English-language term papers.

I currently have a job and/or plan to work during my studies. Is it possible to study part-time, thereby saving fees?

There is no official part-time program. You decide yourself at what pace you study (i.e. how many courses you take each semester). However, the semester fees remain the same.

Can I go abroad?

While we do not have a specific exchange program for the MSc Econometrics yet, there are existing exchange programs for the other programs of the participating faculties that you may be able to draw upon. Please contact us for details.

I submitted my application X days ago. When will I hear from you?

We process applications and communicate decisions as soon as they come in. There may however be certain delays as the central administration first checks applications to all programs of the university for issues like completeness, and they have to handle many of these. We therefore kindly ask for some patience.

Does sending my questions to as many email addresses of contact people I can find increase my chances of getting a quick reply?

No. That just causes unnecessary duplication of work and creates further delays! Please see the answer to the question above.

What should I include in the academic CV?

We strongly encourage you to use our Academic CV form where you can fill in a questionnaire and download a PDF version. Please click here to download the form.

Please see the academic CV as an opportunity for you and us to summarize your motivation and suitability for the program. Feel free to include any information, such as prior courses, relevant skills, work experience, career goals etc., that you deem supportive of your application.

My undergraduate grades are just slightly worse than the minimum grade point average (in the German grading system) you ask for. Can I nevertheless be admitted?

Unfortunately, by law, we are not able to make exceptions here, such that we regret to say you cannot qualify for the program. Please note that (also by law) only the Bachelor GPA is relevant even if you already have a Master’s degree.

Is there a maximum number of students you admit each year?

No, there is no cap.

I do not have EU citizenship. Do I have to leave Germany or can I stay and start working after I have obtained the Master’s degree?

Non-EU citizens with health insurance and proof of financial means sufficient for living expenses may be granted an 18-month visa for job search after graduation. With a job there is the prospect of a residence permit or an EU Blue Card. Further information can be found on the DAAD website.

Where can I find the self-assessment and is it mandatory to take it?

The online self-assessment is available here. It is mandatory to take the assessment. However, this is not a test that you can fail: We would like applicants to assess their skills in statistics, economics and econometrics so that, if necessary, specific pre-courses can be taken.

I am currently studying in program A at University B and have taken courses in C, D and E. Am I eligible for the program?

We kindly ask for your understanding that we cannot provide an answer here. The purpose of the application process is to answer such questions. Please submit a full application such that we can consider your materials. The sooner you submit, the earlier we will be able to get back to you with a clear and definite answer.

There are still a few courses missing for my Bachelor’s degree. Can I nevertheless apply?

Yes. We are aware that your undergraduate degree may not be fully complete by the time you apply and take this into account when assessing your application. Please briefly summarize what you still plan to complete in your academic CV (resource only available during application period).

How good do my German language skills need to be?

The core curriculum and most electives are taught in English. We recommend a good command of the German language (at least B1) if you are interested in taking German-language electives.

Is it mandatory to prove my proficiency in the German language?

No. Also note that proficiency in German is not necessary for successful completion of the program.

Can you offer scholarships to cover costs of living (housing etc.)?

While we can offer the program free of tuition, we unfortunately cannot offer any scholarships for such costs. Some external agencies, possibly in your home country, may be able to assist.

There regularly are opportunities for paid positions as student research assistants, which helps cover parts of the cost of living.

Can you help me with finding accommodation?

There are several student dormitories for which Accommodation is arranged by the associated student union (Studierendenwerk). The international offices are also happy to help you to find your way around the private housing market. Further information can be found via the following links:

Is there a possibility to pursue a PhD in econometrics/statistics/economics after completion of the MSc?

Yes. Professors at the UAR and elsewhere regularly seek qualified quantitatively trained candidates for which the MSc in Econometrics provides an excellent background.

What are ECTS points?

ECTS is for European Credit Transfer System. This system guarantees the comparability of achievements gained in the European Higher Education Area by issuing so called credit points (ECTS credits). These credit points exist to give an indication of the student’s average workload per semester or year. They do not function as an evaluation of performance. ECTS credits are only awarded if courses are successfully completed. This means that all of the relevant exams have to be passed.

When does the winter term start? When does the lecture period begin?

The winter term starts at October 1st. The lecture period usually begins in the 2nd week of the semester. Note that the lecture periods may vary between the UAR universities. Course dates and locations can be found in the online lecture catalogs:

It is often worthwhile to visit the website of the respective chair for further details on the schedule.

Which living costs should I roughly expect when studying in the Ruhr area?

You should expect to spend a minimum of €750 to €900 per month for basic expenses. The costs can be broken down roughly as follows:

  • Rent: €350 to €450
  • Health insurance: €110
  • Food: €260
  • Phone & Internet: €30 to €50


Note that the above is a minimum calculation which can be easily exceeded, in particular because rents differ significantly between different cities and districts. Also consider extra costs that you face upon arrival in Germany, some of which are the deposit for accommodation, fees for residence permit, household items etc.

Good news is that students enjoy reductions on many occasions. Student tariffs are available for mobile contracts and many leisure activities.

Do I need health insurance for studying in Germany?

Health insurance is mandatory for all students in Germany and you must present proof when you enroll. The good news is that healthcare is affordable in Germany and in some cases it is even possible to bring your own insurance. We advice you to read through the guide of the Germany Academic Exchange Service (DAAD).

I have been admitted to the program and want to attend the precourse in statistics. Where can I find more information?

The precourse in statistics is an e-learning course. Further information can be found here.

Where can I get an overview of the courses offered in the current/upcoming semester?

For a start, please refer to the interactive table above. The links in the first column point to the module manual. We recommend you to read pages 11 to 16 for an overview of the distinct module areas. Links in the last column usually direct to the respective chair’s website where further information is available. The participating faculties also provide information on their homepages.

  • English language courses offered by the Department of Statistics in the current semester can be found here. If your language skills are sufficient, you are welcome to take selected German-language courses. All courses offered by the Department of Statistics are listed here.
  • Lectures offered by the Department of Economics of TU Dortmund are listed here
  • Lectures offered by the Department of Economics of RUB are listed here and here
  • Lectures offered by the Department of Economics of UDE for the Master Econometrics are listed here

Where can I find more information regarding the offered courses such as schedules, rooms, important links, access keys for Moodle etc?

Links to the online course rooms, information on who to contact for the required passwords, as well as other relevant information, can usually be found on the websites of the chairs. If you find an interesting course, the first place to look for further infos is the chair’s homepage.

The interactive table above may be useful, too.

If your desired course is not yet listed in our handbook of modules yet, please contact Fabian Knorre (knorre[at]statistik.tu-dortmund.de) or Jan Prüser (prueser[at]statistik.tu-dortmund.de).

Research and RuhrMσtrics

The chairs involved in organising the Master’s program in Econometrics are part of the UAR competence field empirical economic research to which they contribute mainly by research on quantitative methods, part of which is joint in cross-university cooperation. A prime example is the Collaborative Research Center 823 - Statistical Modelling of Nonlinear Dynamic Processes.
We also aim to foster young researchers via our close ties among UAR econometricians and statisticians. Many professors and research fellows are faculty at RGS – Ruhr Graduate School in Economics, a joint program of the UAR universities and the RWI, one of Germany’s leading economic research institutes. Over a period of three years, graduate students receive training and supervision that leads to a Ph.D. in economics, complying with the highest international standards.

We also maintain intensive scientific exchange between research groups in the field of statistics and econometrics in and beyond the UAR. For example, our regular RuhrMetrics research seminar jointly run by the chairs of Vasyl Golosnoy (RUB), Christoph Hanck (UDE), Carsten Jentsch (TU Do) and Robinson Kruse-Becher (FUH), established in 2019, provides a platform where PhD students and faculty members alike present and discuss new research projects as well as more mature projects. Below is a selection of recent publications by the participating research groups as well as further information on past seminars.

RuhrMΣtrics — Recent Publications

Hoga, Y. (2022). Extremal Dependence-Based Specification Testing of Time Series. Journal of Business & Economic Statistics.

Demetrescu, M., Hanck, C. and Kruse-Becher, R. (2022). Robust inference under time-varying volatility: A real-time evaluation of professional forecasters. Journal of Applied Econometrics.

Weiß, C. H., Aleksandrov, B., Faymonville, M. and Jentsch, C. (2023). Partial Autocorrelation Diagnostics for Count Time Series. Entropy.

Kruse-Becher, Y. R. and Wegener, C. (2020). Time-varying persistence in real oil prices and its determinant. Energy Economics.

Demetrescu M., Rodriguez, Paulo M. M., Taylor, Robert A. M. (2022). Transformed regression-based long-horizon predictability tests. Journal of Econometrics.

Vogler, J., Golosnoy, V. (2023). Unrestricted Maximum Likelihood Estimation of Multivariate Realized Volatility Models. European Journal of Operational Research.

RuhrMΣtrics — Research Seminar

Date and time Title Speaker Location
February 7th 2023
(14:00 – 14:25)		 Different Narratives: The Effects of Fiscal Policy in Non-Gaussian SVARs with a Novel Prior for Instrumental Variables Sascha Keweloh
(TUDO)		 TU Dortmund University
February 7th 2023
(14:30 – 14:55)		 Structural Periodic Vector Autoregressive Analysis Daniel Dzikowski
(TODU)		 TU Dortmund University
February 7th 2023
(15:00 – 15:25)		 Median-based splitting rules for the causal tree Lennard Maßmann
(UDE)		 TU Dortmund University
February 7th 2023
(16:30 – 16:55)		 An information-enriched adaptive lasso ADF test Martin Arnold
(UDE)		 TU Dortmund University
February 7th 2023
(17:00 – 17:25)		 Detecting the Predictive Power of Imperfect Predictors with Slowly Varying Components Matei Demetrescu
(TUDO)		 TU Dortmund University
February 7th 2023
(17:30 – 18:00)		 A new test for portfolio weights Vasyl Golosnoy
(RUB)		 TU Dortmund University
Date and time Title Speaker Location
June 27th 2022
(13:55 – 14:25)		 Backtesting Systemic Risk Forecasts Using Multi-Objective Elicitability Yannick Hoga
(UDE)		 Ruhr-University Bochum
June 27th 2022
(14:25 – 14:55)		 CRPS Learning Florian Ziel
(UDE)		 Ruhr-University Bochum
June 27th 2022
(14:55 – 15:25)		 Estimating heterogeneous treatment effects with Bayesian Additive Regression Trees (BART) Lennard Maßmann
(UDE)		 Ruhr-University Bochum
June 27th 2022
(16:00 – 16:30)		 Unrestricted maximum likelihood estimation of multivariate realized volatility models Jan Vogler
(RUB)		 Ruhr-University Bochum
June 27th 2022
(16:30 – 17:00)		 A combined shrinkage and pooling prior for VARs Jan Prüser
(TUDO)		 Ruhr-University Bochum
June 27th 2022
(17:00 – 17:30)		 Monitoring the Predictability of Stock Returns - The Impact of Unknown Predictor Persistence and Nonstationary Volatility Fabian Schmidt
(TUDO)		 Ruhr-University Bochum
Date and time Title Speaker Location
January 14th 2022
(9:45 – 10:15)		 Cheater Analysis Natalie Reckmann
(UDE)		 Zoom – hosted by UDE
January 14th 2022
(10:15 – 10:45)		 Bayesian analysis of reduced rank regression models using post-processing Markus Pape
(RUB)		 Zoom – hosted by UDE
January 14th 2022
(10:45 – 11:15)		 Modeling Realized Covariance Measures with Heterogeneous Liquidity: A Generalized Matrix-Variate Wishart State-Space Model Bastian Gribisch
(TU Do)		 Zoom – hosted by UDE
January 14th 2022
(11:35 – 12:05)		 (Bootstrap) inference for doubly robust estimators Tanvir Hossain
(TU Do)		 Zoom – hosted by UDE
January 14th 2022
(12:05 – 12:35)		 On the Incidental Parameter Problem in Fractional Response Models with Fixed Effects Amrei Stammann
(RUB)		 Zoom – hosted by UDE
January 14th 2022
(13:45 – 14:15)		 Modeling and Forecasting Gas Prices with Copula Models Sven Rappert
(TU Do)		 Zoom – hosted by UDE
January 14th 2022
(14:15 – 14:45)		 Predictive power of the variance premium Yuze Liu
(FUH)		 Zoom – hosted by UDE
January 14th 2022
(14:45 – 15:15)		 New stylized facts of financial exuberance Marco Kerkemeier
(FUH)		 Zoom – hosted by UDE
Date and time Title Speaker Location
July 21st 2021
(10:20 – 12:20)		 Robust Splitting Methods for the Causal Tree Karolina Gliszczynska
(UDE)		 Zoom – hosted by FUH
July 21st 2021
(10:20 – 12:20)		 Accurate and (Almost) Tuning Parameter Free Inference in Cointegrating Regressions Karsten Reichold
(AAU Klagenfurt and TU Do)		 Zoom – hosted by FUH
July 21st 2021
(10:20 – 12:20)		 Higher-order moments in structural VAR models Sascha Keweloh
(TU Do)		 Zoom – hosted by FUH
July 21st 2021
(13:30 – 14:45)		 Improving financial volatility nowcasts Yuze Liu
(FUH)		 Zoom – hosted by FUH
July 21st 2021
(13:30 – 14:45)		 Empirical Similarity in Portfolio Selection Jamol Bahromow
(RUB)		 Zoom – hosted by FUH
July 21st 2021
(14:45 – 16:00)		 Approximation and Error Analysis of Forward-Backward SDEs driven by Pure Jump Lévy Processes using Shot Noise Series Representations Till Massing
(UDE)		 Zoom – hosted by FUH
July 21st 2021
(14:45 – 16:00)		 Valid weighted bootstrap inference requires consistent bias-correction Christopher Walsh
(TU Do)		 Zoom – hosted by FUH
Date and time Title Speaker Location
December 10th 2020
(10:30 – 10:55)		 Nonparametric Cointegrating Regression Fabian Knorre
(TU Do)		 Zoom – hosted by TU Do
December 10th 2020
(11:05 – 11:30)		 A global-local prior for time-varying parameter VARs and Monetary Policy Jan Prüser
(TU Do)		 Zoom – hosted by TU Do
December 10th 2020
(13:30 – 14:05)		 Forecasting with Deep Factor Models Simon Umbach
(FUH)		 Zoom – hosted by TU Do
December 10th 2020
(14:05 – 14:30)		 A mixed frequency stochastic volatility model with two macro-financial components Yuze Liu
(FUH)		 Zoom – hosted by TU Do
December 10th 2020
(15:10 – 15:35)		 Estimation of unrestricted CAW models in large samples Jan Vogler
(RUB)		 Zoom – hosted by TU Do
December 10th 2020
(15:45 – 16:20)		 Adaptive Testing for Long Memory Thilo Reinschlüssel
(UDE)		 Zoom – hosted by TU Do

Contact

If you have any questions about the program, please feel free to send an email or contact student advisory services @ TU Dortmund University.

Getting to TU Dortmund University

  • Department of Statistics
    TU Dortmund University
    Vogelpothsweg 87
    44227 Dortmund
    Germany
  • Department website

  • Faculty of Business and Economics
    TU Dortmund University
    Friedrich-Wöhler-Weg 6
    44227 Dortmund
    Germany
  • Faculty website
Campus plan of TU Dortmund University

Campus map in higher resolution

Getting to the Ruhr University Bochum

  • Faculty of Management and Economics
    Ruhr University Bochum
    Universitätsstraße 150
    44801 Bochum
    Germany
  • Faculty website
Campus plan of Ruhr-University Bochum

Campus map in higher resolution

Getting to the University of Duisburg-Essen

  • Faculty of Business Administration and Economics
    University of Duisburg-Essen
    Universitätsstrasse 12
    45141 Essen
    Germany
  • Faculty website
Campus plan of University of Duisburg-Essen (Campus Essen)

Campus map in higher resolution