--- dataset_info: - config_name: Approved Collective Investment Schemes features: - name: Scheme dtype: string - name: Funds sequence: string splits: - name: data num_bytes: 8414 num_examples: 49 download_size: 5264 dataset_size: 8414 - config_name: Processed Investment Schemes Records features: - name: entry_type dtype: class_label: names: '0': ASSETS_UNDER_MANAGEMENT '1': EFFECTIVE_ANNUAL_RATE - name: entry_date dtype: timestamp[ns] - name: entry_value dtype: float64 - name: entry_scheme dtype: string splits: - name: data num_bytes: 4865853 num_examples: 86508 download_size: 348986 dataset_size: 4865853 - config_name: Raw Cytonn Reports features: - name: id dtype: int64 - name: slug dtype: string - name: name dtype: string - name: author dtype: string - name: researchdate dtype: string - name: active dtype: int64 - name: created_by dtype: int64 - name: series_id dtype: int64 - name: campaign dtype: string - name: sent dtype: int64 - name: thumbnail dtype: 'null' - name: created_at dtype: string - name: meta_title dtype: string - name: meta_keywords dtype: string - name: meta_description dtype: string - name: og_description dtype: string - name: url dtype: string - name: og_image dtype: string - name: updated_at dtype: string - name: deleted_at dtype: 'null' - name: title dtype: string - name: category dtype: string - name: summary dtype: string - name: body dtype: string - name: date_holder dtype: int64 - name: date dtype: string - name: creator dtype: string - name: status dtype: string - name: series struct: - name: category struct: - name: created_at dtype: string - name: id dtype: int64 - name: name dtype: string - name: slug dtype: string - name: updated_at dtype: string - name: category_id dtype: int64 - name: created_at dtype: string - name: created_by dtype: int64 - name: description dtype: string - name: id dtype: int64 - name: name dtype: string - name: thumbnail dtype: string - name: updated_at dtype: string - name: topics list: - name: active dtype: int64 - name: body dtype: string - name: created_at dtype: string - name: created_by dtype: int64 - name: id dtype: int64 - name: name dtype: string - name: research_id dtype: int64 - name: slug dtype: string - name: summary dtype: string - name: title dtype: string - name: topical dtype: string - name: type dtype: string - name: updated_at dtype: string - name: weight dtype: int64 splits: - name: data num_bytes: 90988317 num_examples: 652 download_size: 31563231 dataset_size: 90988317 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](https://toknow.ai/posts/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: 1. **Raw Cytonn Reports**: Original market research reports from Cytonn, dating back to 2014. 2. **Approved Collective Investment Schemes**: Official listings of CMA-approved collective investment schemes. 3. **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: 1. Access the data through the Hugging Face interface or via API calls. 2. Refer to the documentation for details on data structure, variable definitions, and any limitations. 3. 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: ```python 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](https://toknow.ai/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].