Behavioral Finance and Investment Psychology Training Course

Course overview

Classical finance assumes investors are rational, informed and consistent. Decades of evidence say otherwise. The same person will hold a losing position for two years to avoid admitting the loss and sell a winner within a month to lock in a gain. Fund flows peak near market tops. Investors overtrade, chase performance, and are more confident in their forecasts precisely when the data supporting them is thinnest.

This course covers behavioral finance across seven units: the foundations, cognitive biases, emotional influences, behavioral portfolio theory, market anomalies, debiasing an investment process, and where the field is going. The purpose is practical: an investment or finance process that anticipates human error is more robust than one that assumes it away. The course is educational and is not financial or investment advice.

Why knowing about a bias does not remove it

This is the uncomfortable finding. Participants who can name every bias on a list still exhibit them under time pressure and with their own money at stake. Awareness helps at the margin; process helps considerably more. Written investment theses that state in advance what would falsify them, pre-committed sell rules, independent challenge, and decision journals that record what you believed before the outcome was known: these constrain the behavior the awareness alone does not.

That is why the course is organized around building a process rather than around cataloging errors. The catalog is the diagnosis, not the treatment.

Course objectives

By the end of the course, participants will be able to:

• Name the biases shaping an investment decision.
• Recognize losses felt more sharply than equal gains.
• Notice emotional and social drivers behind a trade.
• Calibrate confidence against recorded forecasting accuracy.
• Structure portfolios around goals rather than a benchmark.
• Question an anomaly before treating it as evidence.
• Revisit a decision using what was believed at the time.
• Precommit to exit rules set outside the moment.
• Advise clients whose behavior works against their own goals.
• Resist a default designed to steer rather than to help.

Course outline

Unit 1: Introduction to behavioral finance

• Efficient markets and the evidence that troubles them.
• The descriptive turn begun by Kahneman and Tversky.
• Prospect theory: reference points and loss aversion.
• Bounded rationality and heuristics that fail at extremes.

Unit 2: Cognitive biases in investment

• Anchoring, availability and representativeness in practice.
• Confirmation bias and research that only reads agreement.
• Overconfidence, illusion of control and a calibration test.
• Hindsight bias and the narrative fallacy built later.

Unit 3: Emotional influences on investment decisions

• Fear, greed and regret traced in fund flow data.
• The disposition effect: losers held and winners sold.
• Herding and the pressure not to be wrong alone.
• Stress, fatigue and decisions taken late in the day.

Unit 4: Behavioral portfolio theory and applications

• Mental accounting and the label attached to the money.
• Behavioral portfolio theory and its layered portfolios.
• Risk tolerance questionnaires answered after a bad month.
• Goal-based investing against benchmark-relative framing.

Unit 5: Market anomalies and behavioral explanations

• Behavioral stories behind momentum, value and size.
• Documented bubbles and the mechanisms that inflated them.
• Limits to arbitrage and the mispricing that persists.
• Replication failure and the anomaly believed too quickly.

Unit 6: Mitigating biases in investment strategy

• Written theses with falsification criteria stated first.
• Decision journals, pre-mortems and devil's advocacy.
• Rules-based rebalancing and pre-committed exit criteria.
• Dissent and the committee that agrees too easily.

Unit 7: Future of behavioral finance

• Defaults, framing and the ethics of a nudge.
• Algorithmic decision-making and the errors it inherits.
• Sentiment analysis and behavioral data as model inputs.
• Adviser responsibility for a client's financial wellbeing.

How the course is delivered

The course runs on documented cases, real fund flow data, published research findings and decision records that participants examine and discuss. Worked examples take investment decisions apart to show where the error entered. Participants are invited to bring their own past decisions, good and bad, into the conversation, which is usually where the sessions become genuinely useful. The course is educational and is not financial or investment advice, and it does not certify participants. Executives interested in the wider decision-making picture should look at Financial Decision Making for Executives.

Who should attend

• Investment professionals, portfolio managers and analysts.
• Wealth managers and financial advisers working with clients' decisions.
• Finance and treasury professionals who make judgment-heavy decisions.
• Risk managers and executives interested in decision quality under uncertainty.

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

Will this help me beat the market?

No, and the course is honest about that. What it can do is reduce avoidable errors in a decision process, which is a more modest and more achievable objective. It is educational and is not investment advice.

Is it relevant if I do not manage investments?

Yes. The biases discussed appear in capital allocation, budgeting, forecasting and procurement decisions. The investment context simply provides the clearest evidence base.

Is the course based on research or on anecdote?

On published research, with documented cases used as illustration. It also covers replication problems in the field, so that participants apply appropriate skepticism to the findings themselves.

Related courses

• Fixed Income and Equity Investment Strategies
• Future of Financial Management and Investment
• Hedge Funds and Alternative Investment Strategies
• Capital Markets and Investment Banking

Register for this course

Choose a city and date from the schedule above to register, or contact EuroQuest about in-house delivery for an investment or finance team.