The evolution from analogue to digital technologies continues to dominate the attention of decision makers today. Many tools in industrial production processes have been automated or replaced by highly complex mechanisms with pre-programmed decision-making. The change to digital modes of operations increasingly determines the lives of individuals and does so in increasingly unexpected ways.
The students get insight into the area of modern internet based Computational Statistics Methods and Time Series Analysis in Python. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught and transferred into www.quantlet.de and www.quantinar.com . Direct computer oriented knowledge and possibilities of empirical research will be shown. key = DedaSS2024 (case sensitive)
The students get insight into the area of modern internet based Computational Statistics Methods and Time Series Analysis in Python. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught and transferred into www.quantlet.de and www.
Literature
Franke J, Härdle WK, Hafner C (2019) Statistics of Financial Markets: An Introduction. 5th Ed., Springer Verlag, Heidelberg. ebook ISBN: 978‑3‑030‑13751‑9 (print), ISBN 978‑3‑030‑13750‑2 (softcover)
Härdle WK, Simar L (2019) Applied Multivariate Statistical Analysis. 5th ed., Springer Verlag, Heidelberg. ISBN 978‑3‑030‑26006‑ 4 (print)
Chen C YH, Härdle WK, Overbeck L (2017) Applied Quantitative Finance. 3rd extended ed., Springer Verlag, Heidelberg.
Härdle WK, Okhrin O, Okhrin Y (2017) Basics of Computational Statistics, Springer Verlag, Heidelberg.
- Kursverantwortliche/r: Raul Cristian Bag
- Kursverantwortliche/r: Wolfgang Karl Härdle
- Kursverantwortliche/r: Francis Liu
- Kursverantwortliche/r: Ratmir Miftachov
Semester: SoSe 2024
The evolution from analogue to digital technologies continues to dominate the attention of decision makers today. Many tools in industrial production processes have been automated or replaced by highly complex mechanisms with pre-programmed decision-making. The change to digital modes of operations increasingly determines the lives of individuals and does so in increasingly unexpected ways.
The students get insight into the area of modern internet based Computational Statistics Methods and Time Series Analysis in Python. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught and transferred into www.quantlet.de and www.quantinar.com . Direct computer oriented knowledge and possibilities of empirical research will be shown. key = DedaSS2023
The students get insight into the area of modern internet based Computational Statistics Methods and Time Series Analysis in Python. Practically relevant knowledge on methods, data forms and Gestalt will be trained. The use of GITHUB and network techniques will be taught and transferred into www.quantlet.de and www.
Literature
Franke J, Härdle WK, Hafner C (2019) Statistics of Financial Markets: An Introduction. 5th Ed., Springer Verlag, Heidelberg. ebook
ISBN: 978‑3‑030‑13751‑9 (print), ISBN 978‑3‑030‑13750‑2 (softcover)
Härdle WK, Simar L (2019) Applied Multivariate Statistical Analysis. 5th ed., Springer Verlag, Heidelberg. ISBN 978‑3‑030‑26006‑
4 (print)
Chen C YH, Härdle WK, Overbeck L (2017) Applied Quantitative Finance. 3rd extended ed., Springer Verlag, Heidelberg.
Härdle WK, Okhrin O, Okhrin Y (2017) Basics of Computational Statistics, Springer Verlag, Heidelberg.
- Kursverantwortliche/r: Raul Cristian Bag
- Kursverantwortliche/r: Petra Burdejova
- Kursverantwortliche/r: Wolfgang Karl Härdle
- Kursverantwortliche/r: Francis Liu
- Kursverantwortliche/r: Jovanka Lili Matic
- Kursverantwortliche/r: Lili Jovanka Matic
- Kursverantwortliche/r: Bruno Spilak
- Kursverantwortliche/r: Elizaveta Zinovyeva
Semester: SoSe 2023
The course covers material that is beyond the course "Statistik der Finanzmärkte I + II". The first part is devoted to Value-at-Risk introduction, conceptual discussion and calculation. Several methods including parametric and nonparametric approach have been introduced. Copulae technique is also contributed here. The second part is implied volatility modeling and its applications. The third part is the calibration of various option pricing models.
Prerequisites: Multivariate statistical analysis, Statistical programming languages and Statisitics of Financial Markets.
Semester: SoSe 2022
The Privatissimum serves the conception of the results of research assistants as well as graduate students and Diplomanden of the chair for statistics.
- Kursverantwortliche/r: Wolfgang Karl Härdle
Semester: Semesterübergreifende Kurse