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bamideleadedeji/naija-etf-intelligence

Domain:

socioeconomic

Record type:

dataset
Creator:
bam
Host:
Comprehensive analysis of Nigeria's ETF market using regulatory data (2018-2025). Features 257 validated funds, market structure insights, and investment efficiency metrics. African Finance, and Data Science # 1. Clone repository git clone github.com cd naija-etf-intelligence # 2. Install dependencies pip install -r requirements.txt # 3. Launch analysis jupyter notebook notebooks/01_data_cleaning.ipynb Key Findings Market Structure Total ETF AUM: Comprehensive analysis of assets under management Market Concentration: Detailed HHI analysis revealing market competition levels Top Fund Managers: Identification of dominant players and their market share Size Distribution: Analysis of fund sizes from micro to large-cap ETFs Investment Insights Asset Allocation: Trends in equity, bond, and money market allocations Cost Efficiency: Expense ratio analysis across different fund categories Performance Metrics: Investment efficiency and operational effectiveness Market Gaps: Identification of underserved segments and opportunities Tech Stack Python + Pandas for data analysis and manipulation Jupyter Notebooks for reproducible research workflow Matplotlib/Seaborn for professional visualizations and dashboards NumPy/SciPy for statistical analysis and financial metrics Git for version control and collaborative development Data Sources Nigerian Securities and Exchange Commission (SEC) regulatory filings Monthly ETF performance reports (2018-2025) Fund manager disclosures and portfolio compositions 142 original Excel files processed and validated Research Outputs Cleaned Dataset: 257 validated ETF records with complete financial metrics Market Analysis: Comprehensive Excel reports with multi-sheet analysis Visual Dashboards: Professional charts and interactive visualizations Executive Summary: Key insights and market intelligence Research Roadmap: Future analysis opportunities and extensions License This project is licensed under the MIT License - see the LICENSE file for details. Contributing Contributions, issues, and feature requests are welcome! Feel free to check issues page. Contact For questions about this …

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