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Cognitive Biases Associated With Human Trading in Financial Markets: Do We Ultimately Need Trading Agents?
Masterarbeit (30 CP)
Masterarbeit, Masterarbeit (30 CP)
In recent years, breakthroughs in artificial intelligence (AI) have revealed the potential of AI to outperform human performance in a variety of contexts. Driven by these technological advances, more and more organizations are striving to use AI in their processes to improve their own organizational performance (e.g., Bean 2019; Insights 2018). In doing so, organizations are now focusing on how they can use AI to automate (sub)tasks within routines (e.g., Brynjolfsson and Mitchell 2017).
When using such intelligent automation, however, it is important to consider more than just the benefits of higher performance. Organizations should also understand how actions and processes change as a result of intelligent automated systems. Among other things, such systems have the advantage of not making decisions emotionally, but purely based on statistics and data. In this way, many cognitive limitations of human action may be avoided. At the same time, however, it is not yet fully clear what consequences the use of these systems will have over time for the organizational learning and sustainable action behavior. For example, such systems are known to have difficulties with out-of-box thinking, the “frame problem”, and suffer from the dilemma between “exploration” vs. “exploitation”. For some use cases, it may therefore make sense to design collaborative systems in which AI and humans can combine their strengths while mutually eliminating their weaknesses.
Approach
This thesis examines a practical scenario of trading in the financial market. The following steps will be taken in this work (note: we are also open to applicants who are interested in working on only a subset of these steps – e.g., only step 1 & 2 & 3 – please simply indicate this in your application):
- Literature review and expert interviews on potential cognitive limitations of humans in trading activities and how machines may help to overcome them.
- Literature review and expert interviews to characterize the environment in commodity trading in giving markets along identified key factors.
- Analysis of a large data set of trading activity to uncover positive and negative idiosyncratic behavioral patterns, such as, e.g., existent biases or myopic foci.
- Simulation of a trading agent to estimate possible improvements of such a system. Understand the root cause for deviations in trading performance.
- Designing an AI recommendation system for human traders to compensate for their cognitive and behavioral shortcomings.
Specifics of this thesis
When applying for this thesis, we kindly ask you to provide us with a short letter of motivation, your CV, and your current transcript of records. weiter
Betreuer/innen: Timo Koppe , M.Sc., Timo Sturm, M.Sc.
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Online Soziale Netzwerke
Bachelorarbeit, Masterarbeit, Studienarbeit
Betreuer/in: Dr. Amina Wagner
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Call for Theses – IT-Security Awarenes, Protective Behavior und Policy Compliance
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Informationspreisgabe, Privatsphäre und das Internet
Bachelorarbeit, Masterarbeit, Studienarbeit
Betreuer/innen: Anne Zöll, Dr. Amina Wagner
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Call for Theses - Artificial Intelligence in Organizations and Society
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Call for Theses - E-Mobility Services and Optimisation
Betreuer/in: Dr.-Ing. Melanie Reuter-Oppermann
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Call for Theses - Autonomous Vehicles
Betreuer/in: Mariska Fecho, M.Sc.
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Call for Theses - Healthcare
Betreuer/in: Dr.-Ing. Melanie Reuter-Oppermann
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Vereinbarkeit von datengetriebenen Geschäftsmodellen und Privatsphäre
Bachelorarbeit, Masterarbeit, Studienarbeit
Betreuer/in: Anne Zöll
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Data Analytics im Produktionsprozess am Beispiel Vermessung eines Quarzglas Hohlzylinders
Externe Abschlussarbeit am FB01 oder FB20
Masterarbeit, Masterarbeit (30 CP)
Betreuer/in: Timo Koppe , M.Sc.
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Privacy: Preisgabe von gemeinsamen Informationen
Betreuer/innen: Dr. Amina Wagner, Anne Zöll
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Abschlussarbeiten im Bereich IT-Management
In Kooperation mit Campana & Schott
Bachelorarbeit, Masterarbeit (15 CP)
Betreuer/in: Luisa Pumplun , M.Sc.
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Kombination von Semantic Web- und Industrie 4.0-Standards bei der Entwicklung regelbasierter Tools zur Produktkonfiguration
Betreuer/in: Prof. Dr. Peter Buxmann