Python & Quant Models
Time-series forecasting, Monte Carlo simulation, and data-driven financial analysis in Python.
- Time-Series Forecasting Models: ARIMA and Holt-Winters for Finance Analysts
A practical introduction to statistical time-series forecasting for financial analysts — covering decomposition, ARIMA, and Holt-Winters with step-by-step worked examples you can apply to revenue and cost forecasting.
- Monte Carlo DCF: Adding Probability and Uncertainty to Your Valuation
Level up your DCF model by running a Monte Carlo simulation — replacing single-point assumptions with probability distributions to produce a realistic range of outcomes and their likelihood.