040029 SE Seminar (MA) (2022S)
Big Data and Fast Securities Markets
Continuous assessment of course work
Labels
The course "040029 Seminar (MA) Big Data and Fast Securities Markets" is creditable as a compulsory course for the PhD programme Finance "PhD-VGSF: Finance Paper Reading" in SS 2022. VGSF students from WU have to co-enrol at the University of Vienna in order to participate in the course.
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 07.02.2022 09:00 to Mo 21.02.2022 23:59
- Registration is open from Th 24.02.2022 09:00 to Fr 25.02.2022 23:59
- Deregistration possible until Mo 14.03.2022 23:59
Details
max. 24 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Participation in the introductory session is compulsory.
Circumstances permitting the course is scheduled on-site. In case of a deterioration of the pandemic situation it will be moved online.-
Monday
07.03.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
14.03.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
21.03.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
28.03.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
04.04.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
25.04.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
02.05.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
09.05.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
16.05.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
23.05.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
30.05.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
13.06.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
20.06.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock -
Monday
27.06.
15:00 - 16:30
Digital
Seminarraum 13 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
We will discuss cutting edge research on the role of big data and fast trading algorithms for price discovery and asset pricing in securities markets.Typical topics will include the role of social media to organize short squeezes (Reddit and GameStop), the relation between big (sentiment) data and volatility, latency and price discovery, and questions like: why does rain reduce volatility of stock prices? how to optimally design algos for trading in fast markets? allocative effects of dark trading? toxic arbitrage? etc. etc.We will read the scarce theoretical contributions to this fascinating field as well as recent empirical analyses on these topical issues.
Assessment and permitted materials
Paper presentation (33%)
Referee report (33%)
Active discussion of work of peers (33%) - If need be: camera needs to be activated at all times during Zoom sessionsAttendance mandatory. Course organization will be introduced and the presentation schedule will be arranged in the first meeting at March 7th. Failure to show up in the first meeting may result in the non-availability of presentation slots.
Referee report (33%)
Active discussion of work of peers (33%) - If need be: camera needs to be activated at all times during Zoom sessionsAttendance mandatory. Course organization will be introduced and the presentation schedule will be arranged in the first meeting at March 7th. Failure to show up in the first meeting may result in the non-availability of presentation slots.
Minimum requirements and assessment criteria
This is an advanced literature reading seminar. It also serves as a potential basis for the preparation of a master thesis or other advanced work. Therefore, having passed successfully the course "Basics of Finance" and Asset Pricing I" is a pre-requirement.Grading is based on three elements:1.Presentation of a research paper (33%).
Each candidate has to present an advanced paper and organize discussion of the topic with the peeers.2. Referee report (33%)
Each participant will write a referee report about a paper on the reading list that has not been assigned to any presentation, or a paper agreed upon during the seminar. This referee report needs to summarize the paper and evaluate its scope and scientific potential.3. Active discourse (33%)
Research requires two-way communication of ideas. Therefore, in reserach communication both, i.e. sender and receiver play an crucial role to establish knowledge and potentially extend it further. Accordingly, both roles will be relevant for grading.
Each candidate has to present an advanced paper and organize discussion of the topic with the peeers.2. Referee report (33%)
Each participant will write a referee report about a paper on the reading list that has not been assigned to any presentation, or a paper agreed upon during the seminar. This referee report needs to summarize the paper and evaluate its scope and scientific potential.3. Active discourse (33%)
Research requires two-way communication of ideas. Therefore, in reserach communication both, i.e. sender and receiver play an crucial role to establish knowledge and potentially extend it further. Accordingly, both roles will be relevant for grading.
Examination topics
Presentation of a research paper, referee report on topics of the reading list and related literature.
Reading list
A literature list will be introduced and made accessible (via Moodle) in the first meeting.
Association in the course directory
Last modified: Th 11.05.2023 11:26