2020/2021
KAN-CPHIV2013U Social Studies of Finance: From
Financialization to Algorithmic Trading
English Title |
Social Studies of Finance: From
Financialization to Algorithmic Trading |
|
Language |
English |
Course ECTS |
7.5 ECTS |
Type |
Elective |
Level |
Full Degree Master |
Duration |
One Quarter |
Start time of the course |
Second Quarter |
Timetable |
Course schedule will be posted at
calendar.cbs.dk |
Max. participants |
60 |
Study board |
Study Board for BSc/MSc in Business Administration and
Philosophy, MSc
|
Course
coordinator |
- Christian Borch - Department of Management, Politics and
Philosophy (MPP)
|
Main academic
disciplines |
- Philosophy and ethics
- Finance
- Sociology
|
Teaching
methods |
|
Last updated on
30-06-2020
|
Learning objectives |
To achieve the grade 12, students should meet the
following learning objectives with no or only minor mistakes or
errors:
- Demonstrate a thorough and critical understanding of the course
literature.
- Demonstrate an excellent ability to use the course literature
and discussions to analyze problems with relation to the social
aspects of financial markets and financial institutions.
- Demonstrate an excellent ability to communicate and discuss his
or her findings and understanding of the subject and the course
readings.
|
Examination |
Social Studies
of Finance: From Financialization to Algorithmic
Trading:
|
Exam
ECTS |
7,5 |
Examination form |
Home assignment - written product |
Individual or group exam |
Individual exam |
Size of written product |
Max. 10 pages |
Assignment type |
Essay |
Duration |
72 hours to prepare |
Grading scale |
7-point grading scale |
Examiner(s) |
One internal examiner |
Exam period |
Winter |
Make-up exam/re-exam |
Same examination form as the ordinary
exam
|
|
Course content, structure and pedagogical
approach |
"Social Studies of Finance: From Financialization to
Algorithmic Trading" provides students with a solid
understanding of present-day financial markets. Drawing on
sociological studies of trading firms and exchanges (and the ways
in which they operate and are organized) as well as investigations
into the broader effects of finance on society, the course offers a
broad discussion of the social aspects of finance. This includes
insights into financialization, i.e. the ways in which finance has
become increasingly important to society and affects fields not
hitherto connected to financial markets (such as the everyday life
of ordinary citizens). Particular attention is paid in the course
to new developments towards algorithmic trading, including
so-called high-frequency trading, i.e. the use of fully automated,
high-speed trading algorithms which have come to replaced human
traders. The course presents state-of-the-art sociological analyses
of the rise, dynamics, and consequences of algorithmic trading.
Through the discussion of algorithmic trading, the course covers
the main components of the ecology of present-day financial
markets, including trading firms, exchanges, dark pools, and
financial regulation. The course also addresses the morality and
ethics of markets (including the ethical challenges raised by the
use of AI-based algorithms in finance) and the ways in which
finance might contribute to inequality. Teaching will be based on a
mixture of lectures and student presentations. The course contains
blended learning components, as videos will supplement the
readings. Continuous feedback is ensured through written feedback
to students after their presentations.
|
Description of the teaching methods |
The course will be taught as a mixture of
lectures, class discussion, and student group
presentations. |
Feedback during the teaching period |
Feedback in relation to lectures is integrated
into the respective classes. In relation to student group
presentations each group will receive written feedback on their
presentation. |
Student workload |
Class teaching |
30 hours |
Preparation for classes |
146 hours |
Exam preparation |
30 hours |
|
Further Information |
"Social Studies of Finance: From Financialization to
Algorithmic Trading" is part of the minor
in Financial Decision-Making in a Social Context. Priority is
given to students who register for the full minor. In the case of
vacant seats, students can register for one or more of the
individual courses.
|
Last updated on
30-06-2020