This Streamlit-based dashboard provides a comprehensive analysis of capital calls, forecasts, and cash flow simulations in private equity investments.
Link to app: https://capital-call-analysis-dashboard.streamlit.app/
- Capital Call Risk Distribution: Visualizes the risk distribution of capital calls over time.
- Invested Capital Relative to Commitment Level: Tracks the percentage of invested capital compared to the committed capital.
- Cumulative Net Cash Flow: Displays the cumulative net cash flow over time.
- Forecasted Account Values with Confidence Interval: Uses Monte Carlo simulation to forecast potential future account values.
- Context and Analysis: Provides detailed analysis of the dashboard's findings and potential areas for improvement.
- Clone this repository:
git clone https://github.com/<your-username>/capital-call-analysis-dashboard.git - Install the required libraries:
pip install -r requirements.txt - Run the dashboard:
streamlit run app.py
Interact with the dashboard by adjusting parameters in the sidebar:
- Number of Capital Calls per Year: Control the frequency of capital calls.
Explore the different visualizations and analyze the results.
Contributions are welcome! Feel free to open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.