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'0': ASSETS_UNDER_MANAGEMENT
'1': EFFECTIVE_ANNUAL_RATE
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configs:
- config_name: Approved Collective Investment Schemes
data_files:
- split: data
path: Approved Collective Investment Schemes/data-*
- config_name: Processed Investment Schemes Records
data_files:
- split: data
path: Processed Investment Schemes Records/data-*
- config_name: Raw Cytonn Reports
data_files:
- split: data
path: Raw Cytonn Reports/data-*
Kenyan Collective Investment Schemes Dataset
Introduction
This dataset provides comprehensive information on Kenyan Collective Investment Schemes, with a particular focus on Money Market Funds (MMFs) from 2014 to 2024. It is the result of extensive data collection, cleaning, and analysis efforts aimed at providing researchers, analysts, and industry professionals with reliable data on Kenya's investment landscape.
For a detailed description of the methodology and analysis, please refer to the original post: Kenyan Collective Investment Schemes Dataset
Dataset Description
This dataset contains information on Effective Annual Rates for Money Market Funds (KES) and Assets Under Management for Kenyan Collective Investment Schemes. The data has been sourced from Capital Markets Authority reports and Cytonn Research publications, covering a period from 2014 to 2024.
Contents
The dataset is divided into three main components:
- Raw Cytonn Reports: Original market research reports from Cytonn, dating back to 2014.
- Approved Collective Investment Schemes: Official listings of CMA-approved collective investment schemes.
- Processed Investment Schemes Records: Cleaned and structured data on fund performance, assets under management, and other key metrics.
Usage
To use this dataset in your research or analysis:
- Access the data through the Hugging Face interface or via API calls.
- Refer to the documentation for details on data structure, variable definitions, and any limitations.
- Use the processed data for immediate analysis or refer to the raw data for custom processing.
Example code for loading the dataset using the Hugging Face Datasets library:
from datasets import load_dataset
dataset = load_dataset("ToKnow-ai/Kenyan-Collective-Investment-Schemes-Dataset")
Citation
If you use this dataset in your research, please cite it as follows:
@misc{kabui2024,
author = {Kabui, Charles},
title = {Kenyan {Collective} {Investment} {Schemes} {Dataset}},
date = {2024-10-04},
year = {2024},
publisher = {Hugging Face},
journal = {ToKnow.ai},
howpublished = {\url{https://huggingface.co/datasets/ToKnow-ai/Kenyan-Collective-Investment-Schemes-Dataset}},
url = {https://toknow.ai/posts/kenyan-collective-investment-schemes-dataset/index.html},
langid = {en-GB},
abstract = {This study presents a comprehensive dataset of Kenyan
Collective Investment Schemes and their performance from 2014 to
2024. By leveraging web crawling techniques on Capital Markets
Authority (CMA) and Cytonn Research reports, we compiled data on
Effective Annual Rates for Money Market Funds (KES) and Assets Under
Management for the schemes (Money Market Fund, Equity Fund, Fixed
Income Fund, Balanced Fund, and Special Funds). The research process
involved data sourcing, cleaning, and basic exploratory analysis,
resulting in a standardized dataset suitable for further research.
We provide two primary visualizations: plots of Annual Rates for
MMFs (KES) and Assets Under Management over time. This dataset aims
to serve as a foundation for researchers, investors, and industry
stakeholders to conduct more in-depth analyses of Kenya’s collective
investment landscape. By archiving and publishing this data, we
contribute to the accessibility and transparency of financial
information in the Kenyan market.}
}
License
This dataset is made available under GNU GENERAL PUBLIC LICENSE. Please refer to the LICENSE file for more details.
Acknowledgements
We thank Cytonn Research for their comprehensive market reports which form a significant part of this dataset. We also acknowledge the Capital Markets Authority of Kenya for providing information on approved schemes.
Contact
For questions or feedback regarding this dataset, please open an issue on the Hugging Face dataset repository or contact [CONTACT_INFORMATION].