Portfolio Management: Investment Strategies for Executives

New Program with Global Campus Options

Gain an understanding of portfolio management and strategic asset allocation—and learn cutting-edge investment practices—from some of the brightest minds in business.

Gain 29 continuing education credits for CIMA®, CPWA®, CIMC®, and RMA® courses.

    Key Learning Objectives

    • Gain a deep understanding of the investment management industry and the risk and returns of various asset classes, such as stocks, bonds, mutual funds, ETFs, and derivatives.
    • Learn how to combine different assets together to maximize the return on your investment and minimize its risk. 
    • Discover the impact of the latest trends, such as artificial intelligence, on asset management.
    • Obtain key practical insights on investment strategies from case discussions, investment professionals, and networking events.

    Guest Speakers

    • December 2024 session: Chicago Booth alumnus King Leung, Global Head of Financial Services, Fintech & Sustainability at Invest Hong Kong, will share the latest innovations in Hong Kong's financial services sector.
    • 2025 guest speakers to be announced.

    Why Chicago Booth?

    One unquestioned strength of Chicago Booth is our world-renowned faculty. A diverse group of more than 200 preeminent business scholars, our faculty have been shaping education since we opened our doors in 1898. Eleven Booth scholars—five of whom are currently teaching—have won the Nobel Prize in Economic Sciences.

    Chicago Booth faculty collaborate and consult with firms, serve on corporate boards, start their own companies, and are sought out for their award-winning research and renowned analyses. World leaders, media outlets, and top global companies regularly turn to our faculty members for their expertise and insights. When you attend our executive education programs, you’ll learn from the same professors who teach in our MBA program, as well as industry leaders—receiving a distinctive mix of theory and real-world applications you can enact immediately.

    Our Global Locations

    We are the first and only US business school with permanent campuses on three continents—Chicago, London, and Hong Kong. This program includes an offering at each of our global campuses. 

     

    • Portfolio managers working at mutual funds, pension funds, endowments, sovereign wealth funds, etc.
    • Chief investment officers, treasury officers, and risk managers at private corporations, not-for-profits entities, etc. 
    • Financial advisors and family wealth management officers 
    • High net-worth individuals and other retail investors who manage their own money
    • Bankers and employees of insurance companies who need to learn about financial securities
    • National governments' treasury and central bank officials involved in financial markets
    • Sell-side analysts and other capital market participants who need to better understand the risk and returns of financial securities

    Pietro Veronesi

    Deputy Dean for Faculty and Chicago Board of Trade Professor of Finance
    Pietro Veronesi is the Chicago Board of Trade Professor of Finance at the University of Chicago, Booth School of Business. He is also a research associate of the National Bureau of Economic Research and a research fellow of the Center for Economic and Policy Research. Additionally, he is a former director of the American Finance Association and co-editor of the Review of Financial Studies.

    Veronesi conducts research that focuses on asset pricing, stock and bond valuation under uncertainty, bubbles and crashes, return predictability and stochastic volatility. Most recently, he has been interested in studying, both theoretically and empirically, the interaction between government interventions and the behavior of asset prices. His work has appeared in numerous publications, including the Journal of Political Economy, American Economic Review, Quarterly Journal of Economics, Journal of Finance, Journal of Financial Economics, and Review of Financial Studies. He is the recipient of several awards, including the 2015 AQR Insight award, the 2012 and 2003 Smith Breeden prizes from the Journal of Finance; the 2008 WFA award; the 2006 Barclays Global Investors Prize from the EFA; the 2006 Fama/DFA prizes from the Journal of Financial Economics; and the 1999 Barclays Global Investors/Michael Brennan First Prize from the Review of Financial Studies.

    In summer 2020, Professor Veronesi co-founded PREDOC (Pathways to Research and Doctoral Careers, https://predoc.org), a consortium of universities and research institutions that aims to foster a talented and diverse pipeline of students in doctoral programs. PREDOC members work together to expand the talent pool, and to inform, engage, mentor, and educate undergraduates from any background to help them be competitive in the market of pre-doctoral research assistants ("pre-docs"), and in doctoral programs. 

    Professor Veronesi teaches both masters- and PhD-level courses. He is the recipient of the 2009 McKinsey Award for Excellence in Teaching.

    His undergraduate work was in economics at Bocconi University where he received a laurea magna cum laude with honor in 1992. He earned a master's degree with distinction in 1993 from the London School of Economics. He joined the Chicago Booth faculty upon obtaining his PhD in Economics from Harvard University in 1997.

    Paul Whelan

    Associate Professor, The Chinese University of Hong Kong

    Professor Paul Whelan is an Associate Professor in the Department of Finance. Before joining CUHK in 2023, he was an Associate Professor of Finance at the Copenhagen Business School (CBS). He received his PhD degree in Financial Economics from Imperial College London.

    Professor Whelan’s papers have been published in the Journal of Finance, Journal of Financial Economics, the Review of Financial Studies, and Management Science, and has won several awards for his research.

    Dacheng Xiu

    Professor of Econometrics and Statistics
    Dacheng Xiu’s research interests include developing statistical methodologies and applying them to financial data, while exploring their economic implications. His earlier research involved risk measurement and portfolio management with high-frequency data and econometric modeling of derivatives. His current work focuses on developing machine learning solutions to big-data problems in empirical asset pricing.

    Xiu’s work has appeared in Econometrica, Journal of Political Economy, Journal of Finance, Review of Financial Studies, Journal of the American Statistical Association, and Annals of Statistics. He is a Co-Editor for the Journal of Financial Econometrics, an Associate Editor for the Review of Financial Studies, Management Science, Journal of Econometrics, Journal of Business & Economic Statistics,  Journal of Applied Econometrics, the Econometrics Journal, and Journal of Empirical Finance. He has received several recognitions for his research, including the Fellow of the Society for Financial Econometrics, the Fellow of the Journal of Econometrics, the 2018 Swiss Finance Institute Outstanding Paper Award, the 2018 AQR Insight Award, and the Best Conference Paper Prize at the 2017 Annual Meeting of the European Finance Association. 

    In 2017, Xiu launched a website that provides up-to-date realized volatilities of individual stocks, as well as equity, currency, and commodity futures. These daily volatilities are calculated from the intraday transactions and the methodologies are based on his research of high-frequency data.

    Xiu earned his PhD and MA in applied mathematics from Princeton University, where he was also a student at the Bendheim Center for Finance. Prior to his graduate studies, he obtained a BS in mathematics from the University of Science and Technology of China.

    Pietro Veronesi

    Deputy Dean for Faculty and Chicago Board of Trade Professor of Finance

    Professor Pietro Veronesi has been a part of the University of Chicago's teaching faculty since 1997. Veronesi conducts research that focuses on asset pricing, stock and bond valuation under Bayesian uncertainty and learning, and equilibrium models of return predictability. Veronesi is a research associate of the National Bureau of Economic Research and a research fellow of the Center for Economic and Policy Research.

    Alessandro Beber

    Professor

    Alessandro is currently Managing Director, Head of alpha research, in the Systematic Active Equity (SAE) team at Blackrock. In this capacity, he coordinates research that uses Artificial Intelligence and Alternative Data to create the alpha signals that power the Blackrock systematic funds.

    Alessandro is a former academic who held research or teaching positions at various institutions, including Columbia Graduate School of Business, Wharton, London Business School, University of Lausanne, University of Amsterdam, Imperial College and Bayes Business School. Professor Beber’s academic research has been published in leading finance and economic journals, including the Journal of Finance, the Journal of Financial Economics, and the Review of Financial Studies.

    From a solid grounding in fundamentals to the latest trends in active management, this course exceeded my expectations. I can’t wait to start applying what I’ve learned. Dr. Veronesi teaches with passion, energy, and humor. I loved every minute!

    Jim Stawicki, President, Stawicki Associates Brand Management


    Contemporary learning at its best.

    —Tumi Tiyamiyu, Portfolio Director, Prime Holdings


    I gained an understanding of the tools for constructing and managing a portfolio – exactly what I came for.


    The program was a very good mix between theory and practice. I learned new skills I’ll use for a lifetime. 

    Foundations: The Landscape of Investment Assets

    • Overview of asset classes and risk/return profiles: Stocks, treasury and corporate bonds, mutual funds, hedge funds, ETFs, real estate, alternative investments, pension funds, etc.

    Portfolio Allocation - Risk vs. Return Tradeoff

    • Examine principles that govern portfolio allocation strategies, focusing on optimizing returns while managing risk exposure effectively
    • Practical considerations in portfolio construction, including the role of asset correlation and volatility in shaping risk profiles and return expectations
    • Examine the impact of international diversification of portfolios

    Diversification and Optimal Portfolio Allocation

    • Gain a comprehensive understanding of how to construct diversified portfolios that leverage the principles of the efficient frontier, tangent portfolios, and market equilibrium to optimize investment outcomes

    The Capital Asset Pricing Model (CAPM)

    • Implications of CAPM-- the most famous benchmark for asset returns-- and its limitations
    • Security Market Line, the estimation of betas, and their implications for portfolio allocation

    Multi-factor Models

    • General Market Model as well as three, four, and five-factor models

    Size, Value, and Momentum

    • Value vs. growth stocks, small caps vs. large caps, and momentum portfolios, as well as rational and behavioral explanations of anomalies

    Fixed Income Portfolio Management

    • How do fixed-income portfolios fit with equity investments? Examine interest rate risk of bonds portfolios, their betas, and optimal fixed income allocation and its dependence on inflation expectations.

    Active Asset Management

    • Gain a comprehensive understanding of the complexities and nuances inherent in active asset management; deepen your knowledge of quant investing, information ratios, skill, diversification, efficiency, data mining, constraints, and costs.

    Trends in Investing

    • Examine trends in investing including competition, factor investing, investing beyond returns, and fee compression

    Alphas and Optimal Asset Allocation

    • The relation between “alphas,” Sharpe ratios, Information ratios, and other similar performance measures
    • Analyze the impact of “alpha” estimation on optimal portfolio allocation to provide the full picture of the trade-off between risk and returns in strategic asset allocation

    Big Data, Machine Learning, and Artificial Intelligence in Asset Management

    • Examine AI, including the 'why', 'what', and 'when' behind machine-learning models and natural language processing
    • Apply big data to event forecasting

    Fundamental Indexing and Smart Beta Investing

    • The foundation of Smart Beta investing and performance
    • Equal weighting versus value weighting and dynamic factor rotation

    The curriculum is tailored regionally, and subject to change.

    Choose your Campus: 

    • Hong Kong: December 9-13, 2024 | 2025 cohort dates to be announced
      The Hong Kong Jockey Club University of Chicago Academic Complex | The University of Chicago Francis and Rose Yuen Campus in Hong Kong: 68 Victoria Road, Mount Davis Hong Kong
    • London: 2025 Dates Coming Soon
      The Rothman Campus: One Bartholomew Close Barts Square, London EC1A 7BL, UK
    • June 9-13, 2025
      Gleacher Center, Chicago

    Program faculty, practitioners, and guest speakers are subject to change at the various locations.


    Advance Registration Benefit  

    The program session below qualifies for our Advance Registration Benefit. When you commit your attendance by the date below, you’ll benefit through financial savings.*

    • Chicago: June 9-13, 2025
      • $11,250 registration fee when you register by March 17, 2025

    Upcoming Courses

    Date Fee
    June 9-13, 2025 $12,500 Register Now
    September 14-17, 2026 $3 Register Now
    December 9-13, 2026 $12,500 Register Now

    Contact us to learn more about our special pricing for group enrollment or ways we can work with you to support your organization's education budgets.


    Earn Credit Toward the Global Advanced Finance Program

    This program qualifies as an elective in the Global Advanced Finance Program, an exclusive program that awards Chicago Booth alumni status after completing six finance and strategy elective sessions over two years.



    *Advance Registration Benefit: No promotion code required – the savings will be automatically applied during the registration process if you register and pay by the expiration date. This offer is not transferable to other programs or offerings. All prices are in USD.

    Need help?

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