Consumer Behavior

Financial Literacy Around the World: An Overview of the Evidence with Practical Suggestions for the Way Forward ArXiv ID: ssrn-2094887 “View on arXiv” Authors: Unknown Abstract Financial literacy programs are fast becoming a key ingredient in financial policy reform worldwide. Yet, what is financial literacy exactly and what do we know Keywords: Financial Literacy, Financial Education, Consumer Behavior, Policy Reform, Behavioral Economics, Personal Finance Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper is a literature review and policy discussion on financial literacy, focusing on definitions, survey results, and program effectiveness without advanced mathematical derivations or detailed backtesting/implementation frameworks. flowchart TD A["Research Goal: Assess global financial literacy evidence & identify policy best practices"] --> B["Methodology: Meta-analysis & literature review of 25+ countries"] B --> C{"Data Inputs:"} C --> D["OECD/INFE Surveys"] C --> E["National Financial Capability Studies"] C --> F["Behavioral Economics Experiments"] D & E & F --> G["Computational Analysis: Cross-country comparative analysis & outcome modeling"] G --> H["Key Findings: 1) Financial literacy correlates with better behavior 2) Demographic gaps persist 3) Education alone insufficient 4) Policy needs targeted, practical approaches"]

A Study of Fund Selection Behaviour of Individual Investors Towards Mutual Funds - with Reference to Mumbai City ArXiv ID: ssrn-876874 “View on arXiv” Authors: Unknown Abstract Consumer behaviour from the marketing world and financial economics has brought together to the surface an exciting area for study and research: behavioural fin Keywords: Consumer Behavior, Behavioral Finance, Financial Economics, Investor Psychology, General Finance Complexity vs Empirical Score Math Complexity: 1.5/10 Empirical Rigor: 3.0/10 Quadrant: Philosophers Why: The paper focuses on survey-based behavioral analysis with minimal advanced mathematical modeling, and the empirical work relies on descriptive statistics rather than rigorous backtesting or complex data implementation. flowchart TD A["Research Goal: Analyze fund selection behavior of individual investors in Mumbai"] --> B["Methodology: Qualitative & Quantitative Analysis"] B --> C["Data Inputs: Structured Surveys & Demographic Profiles of Investors"] C --> D{"Computational Process: Descriptive & Inferential Statistical Analysis"} D --> E["Key Findings/Outcomes: 1. Cognitive biases heavily influence choices 2. Financial literacy moderates risk 3. Performance > Fees as decision driver"]