Course overview
Every portfolio decision is a trade between return you want and risk you can survive. The theory that describes this trade is elegant and its assumptions are wrong in exactly the moments that matter, which is why portfolio management is a practical discipline and not an applied mathematics exercise.
This course covers risk and return across seven units: the fundamentals, portfolio theory and diversification, asset allocation, quantitative tools, performance measurement, managing through volatility, and the future of portfolio construction. It is educational and is not financial or investment advice; no security, fund or strategy is recommended.
The assumption that breaks
Modern portfolio theory assumes that correlations are stable and that returns follow a well-behaved distribution. Both hold in ordinary conditions and fail in crises, when correlations converge toward one and the tails turn out to be much fatter than the model assumed. The diversification that looked robust in the backtest disappears precisely when it was needed.
Practitioners who understand this build portfolios differently: they stress test against real historical episodes rather than trusting a covariance matrix, they pay attention to liquidity, and they size positions so that being wrong is survivable rather than catastrophic.
Course objectives
By the end of the course, participants will be able to:
- Contrast time-weighted and money-weighted returns over long periods.
- Weigh what volatility and drawdown hide about a portfolio.
- Diversify with a realistic view of correlation under stress.
- Allocate across a horizon with strategic and tactical intent.
- Rebalance to a written rule instead of a market opinion.
- Quantify expected shortfall where value at risk stops helping.
- Separate manager skill from market exposure in a strong year.
- Restrain panic selling and performance chasing in a falling market.
- Anticipate what passive flows do to a diversified portfolio.
Course outline
Unit 1: Fundamentals of risk and return
- Arithmetic and geometric returns and when each applies.
- Volatility, drawdown, downside deviation and what they miss.
- A decade in which the risk premium never arrived.
- Compounding, sequence of returns and why order matters.
Unit 2: Portfolio theory and diversification
- Modern portfolio theory and the capital asset pricing model.
- Correlation instability when diversification is most needed.
- Systematic and idiosyncratic risk and what stays regardless.
- Efficient frontier assumptions, fat tails and regime change.
Unit 3: Asset allocation strategies
- Strategic allocation shaped by objectives and liquidity.
- Tactical allocation and the thin evidence net of fees.
- Rebalancing rules that hold when instinct says otherwise.
- Factor exposures that are one bet under three names.
Unit 4: Quantitative tools for risk-return analysis
- Covariance, beta and regression analysis on real exposures.
- Value at risk and the loss it does not describe.
- Monte Carlo runs and honesty about the input distributions.
- Stress testing against episodes that actually happened.
Unit 5: Performance measurement and monitoring
- Benchmark selection, tracking error and a flattering choice.
- Sharpe, information and Sortino ratios over a chosen period.
- Attribution split into allocation, selection and currency.
- Telling skill from luck with more data than assumed.
Unit 6: Managing portfolios under market volatility
- Panic selling, return chasing and the disposition effect.
- Liquidity management and the position with no clean exit.
- Hedging and downside protection priced over a full cycle.
- Pre-committed rules written before the worst moment arrives.
Unit 7: Future of portfolio risk and return
- Passive investing and index concentration in a few names.
- Private assets, illiquidity and a reported figure that lags.
- Sustainability constraints and a narrower opportunity set.
- Machine learning in portfolio construction and the evidence.
How the course is delivered
The course uses real return series, portfolio data and documented market episodes. Participants calculate risk and performance measures in guided worked examples and argue about what the numbers actually show. There is no trading or software environment. The course is educational and is not financial or investment advice: no security, fund or strategy is recommended, and it does not certify participants. Participants who want the behavioral dimension should look at Behavioral Finance and Investment Psychology.
Who should attend
- Investment professionals, analysts and portfolio managers.
- Wealth advisers and private client managers.
- Treasury, pension and endowment staff overseeing portfolios.
- Risk and compliance professionals covering investment activity.
About EuroQuest International Training
EuroQuest International Training was founded in 2015 by a team with more than 25 years of experience in professional development. We run over 1,000 courses and have trained more than 15,000 participants. Our head office is in Bratislava, Slovakia, with hubs in Dubai, London, Barcelona, Istanbul, Vienna, Paris and Geneva. Courses are written and reviewed by practitioners from the fields they cover.
Frequently asked questions
How mathematical is the course?
The statistics are worked through with examples and explained conceptually. No prior statistical training is assumed, and the emphasis is on knowing what a number hides as much as what it shows.
Will it recommend an asset allocation?
No. It is educational and is not investment advice. Allocation frameworks are taught as method; the decision remains yours with qualified advice.
Does the course include a live lab?
No. There is no software environment. Analysis is taught through documented data and worked examples in discussion.
Related courses
- Fixed Income and Equity Investment Strategies
- International Financial Markets and Investments
- Hedge Funds and Alternative Investment Strategies
- Valuation Techniques for Business and Investments
Register for this course
Select a city and date from the schedule above to register, or contact EuroQuest about in-house delivery for an investment team.
All Course Dates & Locations
28 dates · 15 cities · Sep 2026 – Jul 2027