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31906-01 - Seminar: Topics in Statistics, Econometrics and Data Science 6 CP

Semester fall semester 2020
Course frequency Every fall sem.
Lecturers Christian Kleiber (christian.kleiber@unibas.ch, Assessor)
Content Master seminar Topics in Statistics, Econometrics and Data Science (formerly called "Quantitative Methods") in Fall 2020:

Correlation, Dependence and Copulas

At the introductory statistics level, the distinction between correlation and dependence often leads to misunderstandings. This is partly because many basic methods are linear, and hence dependence can be assessed via correlations. The distinction becomes clearer once students encounter GARCH models for financial time series, Also, there exist methods for disentangling dependence issues from other aspects of models. Specifically, a multivariate distribution can be decomposed into the marginal distributions and the copula, the latter captures the dependence structure. This matters for risk management in finance and insurance.

The seminar will include a broad variety of topics: alternatives to Pearson correlation (the classical correlation coefficient), aspects of multivariate normal and possibly multivariate t distributions, copula basics and applications, selected topics from risk management, possibly non-classical (spatial?) dependence structures in regression models.

The idea is that each participant presents a model or method, depending on the topic along with an illustration using a data set.

We may include an introductory lecture at the beginning of the semester.
Learning objectives Content: Dependence concepts and modelling.

Skills: Writing of term papers involving quantitative methods, oral presentations.
Bibliography References will be specific to the chosen topic. General references include

Czado C (2019). Analyzing Dependent Data with Vine Copulas. A Practical Guide With R. Lecture Notes in Statistics, Springer.

Frees EW, Valdez EA (1998). Understanding relationships using copulas. North American Actuarial Journal, 2(1), 1-25.

Genest C, MacKay J (1986). The joy of copulas: bivariate distributions with uniform marginals. The American Statistician, 40(4), 280-283.

Nelsen RB (2007). An introduction to copulas, 2nd ed. Springer.

Trivedi PK, Zimmer DM (2007). Copula modeling: an introduction for practitioners. Foundations and Trends in Econometrics, 1(1), 1-111.
Comments This announcement is written in English with the intention of reaching a wider audience, but depending on the participants we may proceed in German.
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Admission requirements Prerequisites:
A minimum of 30 CPs and have passed the following or an equivalent lecture, respectively: Econometrics (12036)
Course application The application for this seminar is done centrally and online from May 11 to June 8, 2020 with the Studiendekanat.
The link to the online application form and more information can be found here: https://wwz.unibas.ch/de/studium/master-business-and-economics/masterseminare/
The registration is binding. In case of non-participation after registration it will be noted as "nicht erschienen" in the transcript. For a break up after receiving a subject and title, there will be a "1.0" recorded. In addition, the priority of the wishes for future seminar applications is lost.
Language of instruction English
Use of digital media No specific media used

 

Interval Weekday Time Room

No dates available. Please contact the lecturer.

Modules Modul: Empirische Forschungsmethoden der Politikwissenschaft und der Gesellschaftswissenschaften (Master's degree subject: Political Science)
Module: Seminar Papers (Master's Studies: Business and Economics)
Module: Statistics and Computational Science (Master's Studies: Actuarial Science)
Assessment format seminar credit
Assessment details Presentation (format: 30 min plus discussion) and paper (approx. 15-20 pages).
Dates:
Kickoff: 17.8.20 14:30 - 16:00 (Online Meeting with Zoom The invitations will be sent by Email).
Introduction; 15.9.20 10:15-11:45.
Presentations: 19.11.2020 12-18.
Assessment registration/deregistration Registration/deregistration: faculty
Repeat examination no repeat examination
Scale 1-6 0,1
Repeated registration as often as necessary
Responsible faculty Faculty of Business and Economics , studiendekanat-wwz@unibas.ch
Offered by Faculty of Business and Economics

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