This course will enable students to analyze behavioral phenomena in financial markets, such as herding behavior, stock market bubbles, the impact of financial news, cognitive biases, prospect theory in asset allocation, and behavioral influences in cryptocurrency markets.
Course |
Learning outcome (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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24DFSG 806 |
Behavioural Finance – Practical (Practical)
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CO253: Analyse the role of Herding Behaviour in financial markets CO254: Interpret the relationship between behaviour factors and stock market bubbles CO255: Demonstrate using empirical data the challenges to the efficient market hypothesis and risk preferences of the investors CO256: Examine the consequences of key behavioural biases on investment, asset allocation and cryptocurrency market CO257: Interpret the impact of behavioural biases on financial decision-making CO258: Contribute effectively in course-specific interaction
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Approach in teaching: Interactive Lectures, Tutorials, Practical cases, PowerPoint presentation. Learning activities for the students: Self-learning assignments, Seminar presentation. |
CA test, semester-end examinations, Solving problems in tutorials, Assignments, and Presentations. |
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