Forecasting is changing fast. This practical guide takes you from ARIMA and exponential smoothing to Transformers, PatchTST and foundation models like Chronos and TimesFM. With clear explanations, hands-on Python examples and an honest look at what works and what fails, you’ll learn how to build forecasting systems that hold up in the real world.
A structured, practical approach to financial modeling – from financial statements and business drivers to integrated forecasting, model validation, scenario analysis, and valuation. Illustrative examples throughout the handbook help translate financial concepts and modeling methodology into practical application.