商品描述
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.
商品描述(中文翻譯)
資產管理行業正經歷一場向自動化、透明度和數據驅動決策的範式轉變。傳統工具（如 Excel、Bloomberg）正被可編程、可擴展的解決方案所取代。然而，大多數金融專業人士缺乏在實際投資組合問題中應用 Python 的可及性和實用性訓練。
《Python for Asset Management》填補了這一空白。這本書使非程式設計師——投資組合經理、風險分析師和學生——能夠自行實施先進模型。它回應了金融領域對量化素養日益增長的需求，特別是在可持續投資和智能貝塔策略方面，這些都是兩位作者積極研究的領域。
特點：
- 31 個實作 Python 練習，使用真實數據和可執行代碼。
- 完整的 GitHub 倉庫（MIT 許可證），包含所有腳本、數據管道和結果。
- VaR（歷史、參數、蒙特卡羅）、債券免疫和因子模型的逐步實施。
- 實際決策工具——例如，建立子彈型/杠鈴型/梯形債券投資組合，運行 Brinson-Fachler 歸因，或回測智能貝塔與指數。
- 立即適用性——每個練習都產出可交付成果（例如，最佳權重、風險報告、歸因表），可用於客戶會議。
- 專注於實用的資產管理工作流程，而不僅僅是理論。
作者簡介
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).
作者簡介(中文翻譯)
伊格納西奧·塞爾維拉擁有馬德里教宗科門拉斯大學的商業管理博士學位，以及馬德里企業研究所的MBA學位，並擔任企業財務及投資組合管理教授。自2015年以來，他一直擔任教宗科門拉斯大學的財務顧問。目前，他是該大學資產管理講座的共同主任。研究方向包括可持續性、投資基金、金融分析師以及金融和能源市場。他曾於1987年至1990年擔任Tecnológica SA的行政和財務部門主任，該公司是中央太空技術供應和設計中心。
娜塔莉亞·卡西內洛擁有商業管理博士學位和倫敦政治經濟學院的行為經濟學高級碩士學位，並擔任馬德里教宗科門拉斯大學財務及ESG教授，以及資產管理講座的共同主任。她是該大學的副首席財務官。研究方向包括可持續性、投資基金和健康經濟學。她的教學與私營部門的專業活動相結合，曾於1990年至2006年期間，首先在麥肯錫公司擔任戰略顧問（1990-1994），然後在Consultores&Asociados和拉蒙·卡哈律師事務所擔任財務和稅務顧問（1995-2003），最後在波士頓諮詢集團擔任招聘部門主任（2003-2006）。
