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Behavioural Finance
Tax excluded
ISBN -978-93-5480-517-2
Authors - Dr. Kritika Singh , Mr. Puneet More
Syllabus
Section A : 413 Behavioural Finance
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Unit
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Course Description
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Sessions
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Unit I
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Introduction: Meaning, nature, scope and history of Behavioural Finance; Comparison between Behavioural Finance and Standard Finance; Are financial markets efficient? Limits to arbitrage-Fundamental Risk, Noise Trader Risk, Behavioural Finance scenario in India.
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3
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Unit II
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Behaviour and Decision Making: Cognitive Bias, Emotional Bias, Concept of bounded rationality. beliefs and heuristics-Preferences: Prospect Theory, Ambiguity aversion, Loss aversion, Framing, Non[1]consequentialism: Disjunction Effect. |
3
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Unit III
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Theories of Behavioural Finance: Asymmetric information, Ego centricity, Human Behavioral Theories. Heuristics: Familiarity, Ambiguity Aversion Diversification, Functional Fixation Status Quo, Endowment Effect Representativeness: Innumeracy, Probability matching and conjunction fallacy, Base Rate Neglect, Availability and Salience, Anchoring. |
4
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Unit IV
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Bias: Interaction amongst biases Outcomes of biases Dealing with biases Overcoming the biases and debiasing Cognitive Biases: Self-Deception, Framing, Overconfidence, Miscalibration, better than average effect, overoptimism Causes: illusion of knowledge, control, understanding, skill, Self[1]attribution, Confirmation, Representativeness, Recency. Emotional Biases: Regret, Hindsight, Denial, Loss aversion, Affinity, Self-control. |
4
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Unit V
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Behavioural aspects of Investing: Behavioural Portfolio theory, Psychographic models, Sound Investment Philosophy. |
2
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Unit VI
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Value Investing: Central tenets of value investing Evidence and prospects of value investing. Neuro finance: Neural processes during financial decision-making Future of Neuro finance Adaptive Market Hypothesis. |
3
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Unit VII
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Anomalies: Fundamental anomalies, Accounting Based Anomalies, Calendar Anomalies, Technical anomalies: Value v/s Growth, size, equity premium myopia. |
2
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Unit VIII
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Market Bubbles: Identification and causes, investor behaviour during bubbles, case study of prominent market bubbles/scams. |
3
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Section B
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At least one case study/problem from each unit. Questions will be case/inferences/application based
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