Probability and financial formulas for practical applications related to finance, wealth advisory, risk management, or quantitative roles.
or
View full math-rendered version in the notebook
If you have equations, scenarios, or scripts to add, create a pull request or open a discussion.
docs/- Explanations of major topicscheatsheets/- Printable guides and PDFsnotebooks/- Interactive Python notebooksscripts/- Utility scripts for simulationsresources/- Recommended books, links, and a glossary
- Basic Probability
- Expected Value, Variance, Correlation
- Time Value of Money (FV, PV, NPV, IRR)
- Portfolio Theory (Sharpe Ratio, CAPM, Optimization)
- Monte Carlo Simulations
- Role-based Applications in Finance
Clone the repo:
git clone https://github.com/denv3rr/financial_probability.git
cd financial_probabilityIf using Jupyter Notebooks:
jupyter notebook notebooks/interactive_formula_explorer.ipynb| Role | Application |
|---|---|
| Financial Advisory | Explain risk vs. return, use FV/PV to model client portfolios |
| Investment Analysis | Calculate Sharpe, beta, and expected return scenarios |
| Risk Management | Use Monte Carlo to estimate downside probabilities |
| Quantitative Analysis | Run correlation matrices and regression on financial assets |
View full math-rendered version in notebook:
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