Cash Flow Engineering: Advanced Liquidity Modeling and Treasury Forecasting in Excel & Python

By Graham Wexler

Reactive Publishing

Cash flow is the operational heartbeat of every organization. Yet most finance teams still rely on static spreadsheets, fragmented forecasts, and reactive liquidity management.

Cash Flow Engineering provides a structured, systems-driven framework for building institutional-grade liquidity models and treasury forecasting architectures using Excel and Python.

This book moves beyond textbook theory and focuses on implementation. Readers will learn how to design integrated cash flow systems that connect working capital dynamics, scenario analysis, and treasury visibility into a coherent modeling environment.

Inside, you will explore:

Designing rolling liquidity models aligned with operational drivers

Building dynamic working capital engines that reflect receivables, payables, and inventory cycles

Structuring multi-scenario cash forecasting systems

Stress testing liquidity under regime shifts and volatility

Integrating Excel modeling discipline with Python automation workflows

Creating audit-ready forecasting structures suitable for FP&A and corporate treasury environments

Whether you work in corporate finance, treasury, FP&A, or strategic planning, this book provides a practical blueprint for engineering cash flow visibility rather than reacting to it.

Designed for financial analysts, finance managers, treasury professionals, and quantitative practitioners who want precision, scalability, and structural clarity in liquidity management systems.

• Format: Paperback
• Language: English
• ISBN: B0GPMY9SZK
• ISBN13: 9798249321857
• Release Date: February 2026
• Publisher: Independently Published
• Length: 428 Pages
• Weight: 1.25 lbs.
• Dimensions: 0.9" x 6.0" x 9.0"