Python for Asset Management

1. Auflage 2026
ISBN: 978-1-041-30832-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 264 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Chapman and Hall/CRC Financial Mathematics Series

The asset management industry is undergoing a paradigm shift toward automation, transparency, and data-driven decision-making. Traditional tools (Excel, Bloomberg) are being replaced by programmable, scalable solutions. Yet, most finance professionals lack accessible, practical training in applying Python to real portfolio problems.

Python For Asset Management fills that gap. The book empowers non-programmers—portfolio managers, risk analysts, and students—to implement advanced models themselves. It responds to the growing demand for quantitative literacy in finance, especially in sustainable investing and smart beta strategies, areas of active research for both of the authors.

Features

- 31 hands-on Python exercises with real data and executable code.

- Complete GitHub repository (MIT License) with all scripts, data pipelines, and results.

- Step-by-step implementation of VaR (historical, parametric, Monte Carlo), bond immunization, and factor models.

- Real-world decision tools — e.g., build a bullet/barbell/ladder bond portfolio, run Brinson-Fachler attribution, or backtest smart beta vs. index.

- Immediate applicability — every exercise produces a deliverable (e.g., optimal weights, risk report, attribution table) ready for client meetings.

- Focus on practical asset management workflows, not just theory.

Zielgruppe

Postgraduate and Professional Practice & Development

Autoren/Hrsg.

Cervera, Ignacio

Cassinello, Natalia

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmier- und Skriptsprachen
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Finanzsektor & Finanzdienstleistungen: Allgemeines
• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Anlagen & Wertpapiere

Inhaltsverzeichnis

Chapter One: Python Libraries. Chapter Two: Python Applied to Market Index Analysis. Chapter Three: Python Applied to Equity Management. Chapter Four: Python Applied to Bond Management. Chapter Five: Python Applied to Return Attribution. Chapter Six: Python Applied to Investment Funds. Chapter Seven: Python Applied to Factor Investing. Chapter Eight: Python Applied to ESG Investment. Bibliography.

Über Autor(innen)

Ignacio Cervera holds a PhD in Business Administration from Universidad Pontificia Comillas (Madrid) and an MBA from Instituto de Empresa (IE-Madrid). Professor of Corporate Finance and Portfolio Management & Investments. Since 2015, he has been an advisor on financial matters for the Pontificia Comillas University. He is currently co-director of the Asset Management Chair of this university. Lines of research are Sustainability, Investments Funds, Financial Analysts, and Financial and Energy Markets. He worked as director of the administrative and financial department at Tecnológica SA, Central de Aprovisionamiento y Diseño para Tecnología Espacial (Supply and Design Center for Space Technology) (1987-1990).

Natalia Cassinello holds a PhD in Business Administration and an executive master´s in Behavioral Economics from LSE. Professor in Finance and ESG, co-director of the Asset Management Chair at Universidad Pontificia Comillas at Madrid Campus. She is the Deputy Chief Financial Officer at the University. Lines of research are Sustainability, Investments funds and Health Economics. Teaching has been combined with professional activity in the private sector, having worked from 1990 to 2006. First as a strategic consultant at the consulting firm McKinsey & Co (1990-1994), then as a financial and tax advisor at the law firms Consultores&Asociados and Ramón y Cajal Abogados (1995-2003), and finally as director of the recruitment department at the consulting firm Boston Consulting Group (2003-2006).