
Python for Asset Management by Ignacio Cervera
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.
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Foundations of Quantitative Finance: Book III. The Integrals of Riemann, Lebesgue and (Riemann-)Stieltjes
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Introduction to Credit Risk Modeling
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Financial Mathematics
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Handbook of Price Impact Modeling
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Martingale Pricing
- Introduction to Financial Derivatives with Python
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Risk Analysis in Finance and Insurance
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Poisson Process and its Fractional Extensions with Applications
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Sustainable Financial Structured Products
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Handbook of Quantitative Sustainable Finance
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Foundations of Quantitative Finance Book II: Probability Spaces and Random Variables
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XVA Analysis
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Model-free Hedging
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Portfolio Optimization
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An Introduction to Computational Risk Management of Equity-Linked Insurance
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Monte Carlo Methods and Models in Finance and Insurance
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An Introduction to Financial Mathematics
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Principles of Portfolio Choice
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Introduction to Risk Parity and Budgeting
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Structured Credit Portfolio Analysis, Baskets and CDOs
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Stochastic Financial Models
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Arbitrage and Rational Decisions
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Stochastic Finance
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Understanding Risk
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High-Performance Computing in Finance
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Derivative Pricing
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A Technical Guide to Mathematical Finance
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Malliavin Calculus in Finance
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Risk Measures and Insurance Solvency Benchmarks
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Financial Modelling in Commodity Markets
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Engineering BGM
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Foundations of Quantitative Finance, Book VII: Brownian Motion and Other Stochastic Processes
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Equity-Linked Life Insurance
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Unravelling the Credit Crunch
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Counterparty Risk and Funding
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C++ for Financial Mathematics
Ignacio Cervera holds a PhD in business administration from Universidad Pontificia Comillas (Madrid) and an MBA from Instituto de Empresa (IE-Madrid) and is 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, investment 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 and is Professor in Finance and ESG and 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, investment funds, and health economics. Her 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).
| SKU | Unavailable |
| ISBN 13 | 9781041308324 |
| ISBN 10 | 1041308329 |
| Title | Python for Asset Management |
| Author | Ignacio Cervera |
| Series | Chapman And Hall Crc Financial Mathematics Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Chapman and Hall/CRC |
| Year published | 2026-08-24 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































