README.md

---
language:
- en
license: gpl-3.0
size_categories:
- 1K<n<10K
pretty_name: Kenyan Collective Investment Schemes Dataset
dataset_info:
- config_name: Approved Collective Investment Schemes
  features:
  - name: Scheme
    dtype: string
  - name: Funds
    sequence: string
  splits:
  - name: data
    num_bytes: 8982
    num_examples: 51
  download_size: 5257
  dataset_size: 8982
- 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: 4886569
    num_examples: 86858
  download_size: 309822
  dataset_size: 4886569
- 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: 93336102
    num_examples: 664
  download_size: 32243761
  dataset_size: 93336102
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-*
tags:
- kenya
- finance
---


# 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},
  langid = {en-GB}
}
```

## 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 comment at [post](https://toknow.ai/posts/kenyan-collective-investment-schemes-dataset).