Psychology

Behavioral Finance ArXiv ID: ssrn-2702331 “View on arXiv” Authors: Unknown Abstract Behavioral finance studies the application of psychology to finance, with a focus on individual-level cognitive biases. I describe here the sources of judgment Keywords: behavioral finance, cognitive biases, psychology, Equities Complexity vs Empirical Score Math Complexity: 3.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper discusses behavioral biases and psychological concepts without employing advanced mathematical formulations or heavy empirical backtesting frameworks. It is more descriptive and theoretical, aligning with a philosophical approach to finance. flowchart TD A["Research Goal: Explore psychology in finance & cognitive biases"] --> B["Method: Literature Review & Analysis"] B --> C["Data: Academic Papers & Investor Studies"] C --> D{"Analysis of Biases"} D --> E["Identify Cognitive Mechanisms"] E --> F["Key Outcomes:<br/>Impact on Equities<br/>Market Inefficiencies"]

BehavioralFinance ArXiv ID: ssrn-2480892 “View on arXiv” Authors: Unknown Abstract Behavioral finance studies the application of psychology to finance, with a focus on individual-level cognitive biases. I describe here the sources of judgment Keywords: behavioral finance, cognitive biases, psychology, Equities Complexity vs Empirical Score Math Complexity: 2.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a conceptual review focusing on psychological biases and theories, with minimal advanced mathematical formulas or empirical backtesting. It primarily discusses theoretical mechanisms and qualitative evidence. flowchart TD A["Research Goal: Investigate impact of cognitive biases on equities investment decisions"] --> B{"Methodology"}; B --> C["Data: Investor trading records & survey responses"]; B --> D["Experiment: Lab-based investment simulations"]; C --> E["Computational Process: Statistical analysis of bias indicators"]; D --> E; E --> F["Key Findings: Systematic biases lead to suboptimal portfolio performance"]; E --> G["Outcomes: Framework for predicting market anomalies"];

Traditional vs. BehavioralFinance ArXiv ID: ssrn-1596888 “View on arXiv” Authors: Unknown Abstract The traditional finance researcher sees financial settings populated not by the error-prone and emotional Homo sapiens, but by the awesome Homo economicus. The Keywords: Homo economicus, behavioral finance, rational expectations, financial modeling, psychology, Multi-Asset Complexity vs Empirical Score Math Complexity: 1.0/10 Empirical Rigor: 1.0/10 Quadrant: Philosophers Why: The paper is a conceptual discussion comparing traditional vs. behavioral finance paradigms without presenting mathematical models or empirical backtesting data. flowchart TD A["Research Question:<br/>Traditional vs. Behavioral Finance"] --> B{"Methodology"} B --> C["Key Input:<br/>Homo Economicus"] B --> D["Key Input:<br/>Homo Sapiens"] C --> E["Computational Model:<br/>Rational Expectations"] D --> F["Computational Model:<br/>Psychology & Emotions"] E --> G["Outcome:<br/>Efficient Markets"] F --> H["Outcome:<br/>Multi-Asset Anomalies"]