Mitigating behavioral biases in stock trading is essential for improving decision-making and investors‘ performance, as investors are prone to biases even when aiming for rational choices. Groundbreaking research by Kahneman, Tversky, and later Thaler established the importance of these biases, a topic that has gained renewed relevance with the rise of AI systems in mainstream and trading applications. This study explores how AI can address these biases, particularly during crises like the Covid-19 market crash, to enhance trading performance and mitigate behavioral biases.
Beiträge
Theoretical and reality-based institutional mechanisms to overcome fraud on credence good markets with the case example of the FTX crypto exchange fraud.
Credence goods play a paramount role in our daily life. Starting with complex software with access to our phone’s sensible data, to medical treatments with experimental methods, to medical treatments with experts receiving subsidies for specific treatment quotas, to belief-systems in political and sociological ideologies. It is important in this understanding to understand what institutional mechanisms evolved in the modern times to overcome fraudulent behavior regarding credence good markets, and to, at best guarantee maximized welfare and minimized fraudulent behavior. The research question therefore will be what institutional mechanisms are in place to overcome fraudulent behavior in theory and can be seen in reality-based settings in the case example of the FTX credence good fraud.
Design Thinking as a Method of Innovation: Chances and Risks
In the following literature review, we will analyze what Design Thinking is and how Design Thinking can be used as a method of innovation, and what chances and risks exist when choosing it.
Market transparency and irrational investors
In this literature review, we will look at market transparency and irrational investors as biased individuals and consumers of imperfect information by understanding the development and implications of the Efficient Market Hypothesis, looking at behavioral biases of humans as investors and analyzing herding behavior in the Tesla Motors stock.
Anti-Fragilität bei Muskulatur
Der Mensch und die Gesundheit des Menschen verfügen über die selben Eigenschaften der antifragilen Systeme. Auf dieser Grundlage lassen sich einige bedeutsame Rückschlüsse für die Gesundheit und Muskulatur des menschlichen Körpers folgern.
Decentralized Privacy oder Blockchain Surveillance
Das Rennen der Vormachtstellungen zwischen den dezentralisierten und zentralisierten Krypto-Währungen hat schon begonnen.
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der sich insbesondere mit ökonomischen und politischen Themen auseinandersetzt.
der sich insbesondere mit ökonomischen und politischen Themen auseinandersetzt.