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Summary Digital Household Finance | Contemporary Issues in Finance | KU Leuven | 2025/26

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Structured summary of the chapters on digital household finance from the Contemporary Issues in Finance course at KU Leuven, including lecture explanations and exam insights. Ideal for exam preparation with key concepts highlighted, practical examples and insights into how financial decisions differ between theory and real-world behavior.

Voorbeeld van de inhoud

Inhoudsopgave
CHAPTER 1 Digital household finance: positioning......................................................................................................................5
1.1. From corporate finance to household finance............................................................................................................................................... 5
1.2. Recent European initiatives to improve financial wellbeing at societal level..................................................................................6
1.2.1. Belgian example: Pensiontest............................................................................................................................................................. 6
1.2.2. Financial literacy..................................................................................................................................................................................... 6
1.2.3. Financial resilience................................................................................................................................................................................. 7
1.2.4. Europe’s Retail Investment Strategy (RIS).................................................................................................................................... 7
1.2.5. Europe’s Savings and Investments Union..................................................................................................................................... 7
1.2.6. Regulatory and supervisory initiatives.......................................................................................................................................... 8
1.3. Motivation to focus on (digital) investing....................................................................................................................................................... 9
1.3.1. Three perspectives on easy access................................................................................................................................................... 9
1.3.2. Human-robot interactions in investment decisions.................................................................................................................. 9
1.3.3. Invest your spare change................................................................................................................................................................... 10
1.3.4. Smart(phone) investing..................................................................................................................................................................... 10
1.4. The rise of the retail investor.............................................................................................................................................................................. 11
1.4.1. Why investing has become more accessible.............................................................................................................................. 11
1.4.2. FSMA Retail Investor Dashboard................................................................................................................................................... 11
1.4.3. Efficient Market Hypothesis (Eugene Fama)............................................................................................................................. 11
1.4.4. Arguments for market inefficiency................................................................................................................................................ 12
1.4.5. Inelastic Market Hypothesis (IMH)............................................................................................................................................... 12
1.5. The emotional component of investing.......................................................................................................................................................... 13
1.5.1. Digital conversion................................................................................................................................................................................. 13
1.5.2. Why robo-advisers need “artificial emotion”............................................................................................................................ 13
1.5.3. From standard finance to applied behavioral finance........................................................................................................... 13
1.6. The behavioral design of financial services.................................................................................................................................................. 14
1.6.1. General principle.................................................................................................................................................................................. 14
1.6.2. Save More Tomorrow (SMarT)....................................................................................................................................................... 14
1.6.3. Behavioral design for digital financial services........................................................................................................................ 14
1.7. Behavioral finance and the enhancement of traditional finance....................................................................................................... 16
1.7.1. Standard finance versus behavioral finance.............................................................................................................................. 16
1.7.2. Behavioral Finance 2.0: connecting people, products and portfolios..............................................................................16
1.7.3. Course approach................................................................................................................................................................................... 17
1.7.4. Key take-aways...................................................................................................................................................................................... 17

CHAPTER 2 Digital household finance: people............................................................................................................................18
2.1. Decision-making under risk: the basic framework................................................................................................................................... 18
2.2. Expected value theory............................................................................................................................................................................................ 18
2.2.1. Expected value....................................................................................................................................................................................... 18
2.2.2. The Sint-Petersburg paradox........................................................................................................................................................... 18
2.3. Expected utility theory........................................................................................................................................................................................... 18
2.3.1. From monetary value to utility....................................................................................................................................................... 19
2.3.2. Certainty equivalent and risk premium....................................................................................................................................... 19
2.3.3. Rules of rationality............................................................................................................................................................................... 19
2.3.4. Challenges to expected utility.......................................................................................................................................................... 20
2.4. Prospect theory......................................................................................................................................................................................................... 21
2.4.1. Reference point..................................................................................................................................................................................... 21
2.4.2. Risk attitude in gains and losses..................................................................................................................................................... 21
2.4.3. Loss aversion.......................................................................................................................................................................................... 21
2.4.4. Probability weighting......................................................................................................................................................................... 21
2.5. Use case: investor risk profiling......................................................................................................................................................................... 22
2.5.1. Standard suitability assessment..................................................................................................................................................... 22
2.5.2. Why static questionnaires are insufficient................................................................................................................................. 22


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, 2.5.3. Improving content and method...................................................................................................................................................... 22
2.5.4. Financial personality: what is measured?.................................................................................................................................. 22
2.5.5. Dynamic sequence of choices.......................................................................................................................................................... 23
2.5.6. Interpretation of the output............................................................................................................................................................. 24
2.5.7. Findings and uses................................................................................................................................................................................. 24
2.6. Behavioral finance extensions............................................................................................................................................................................ 25
2.6.1. Thinking fast and slow....................................................................................................................................................................... 25
2.6.2. Humans, econs and nudges............................................................................................................................................................... 25
2.6.3. Three types of benefits....................................................................................................................................................................... 25
2.8. Detailed theory, calculations and syllabus additions............................................................................................................................... 26
2.8.1. Risk versus uncertainty...................................................................................................................................................................... 26
2.8.2. Expected value: complete worked example............................................................................................................................... 26
2.8.3. Expected utility, diminishing marginal utility and concavity.............................................................................................. 27
2.8.4. Certainty equivalent and risk premium: numerical example............................................................................................. 27
2.8.5. Rationality rules and the Allais paradox..................................................................................................................................... 28
2.8.6. Utility of change and the vaccine framing experiment.......................................................................................................... 28
2.8.7. Prospect theory: complete structure............................................................................................................................................ 29
2.8.8. Probability weighting in more depth............................................................................................................................................ 30
2.8.9. Loss aversion versus risk aversion................................................................................................................................................ 30
2.8.10. Investor profiling: the three quantitative rounds................................................................................................................. 30
2.8.11. Interpreting x+, L and x−................................................................................................................................................................. 31
2.8.12. From risk profile to financial personality................................................................................................................................ 33
2.8.13. Model answer structure for an open question....................................................................................................................... 33

CHAPTER 3 Digital household finance: products........................................................................................................................33
3.1. Return distributions: two complementary views....................................................................................................................................... 33
3.1.1. Why logarithmic returns?................................................................................................................................................................. 34
3.2. Mean and variance: the classic product view.............................................................................................................................................. 35
3.2.1. Random walks........................................................................................................................................................................................ 35
3.2.2. Normal and lognormal modelling.................................................................................................................................................. 35
3.2.3. Efficient markets and predictability............................................................................................................................................. 35
3.2.4. Can machine learning predict returns?........................................................................................................................................ 35
3.2.5. Mean-variance product ratings....................................................................................................................................................... 36
3.3. Beyond mean and variance................................................................................................................................................................................. 36
3.3.1. Why mean and variance are incomplete..................................................................................................................................... 36
3.3.2. Skewness.................................................................................................................................................................................................. 36
3.3.3. Upside potential and downside risk.............................................................................................................................................. 37
3.3.4. Generalized performance measures............................................................................................................................................. 38
3.4. Product positioning with investor loss aversion......................................................................................................................................... 38
3.4.1. Product appreciation.......................................................................................................................................................................... 38
3.4.2. A complete product offer................................................................................................................................................................... 38
3.4.3. Performance reporting....................................................................................................................................................................... 39
3.5. Use case: structured products............................................................................................................................................................................. 39
3.5.1. Position in the retail investment landscape............................................................................................................................... 39
3.5.2. Building block: the term deposit.................................................................................................................................................... 39
3.5.3. Structured fund versus structured bond..................................................................................................................................... 39
3.5.4. Fundamental law of structured products................................................................................................................................... 40
3.5.5. Fees and taxes........................................................................................................................................................................................ 40
3.5.6. Option basics.......................................................................................................................................................................................... 41
3.5.7. Reverse engineering example 1: capital preservation plus participation......................................................................41
3.5.8. Reverse engineering example 2: leveraged upside with downside and a cap..............................................................41
3.6. Chapter 3 — exam-oriented take-aways....................................................................................................................................................... 42
3.7. Detailed theory, calculations and syllabus additions............................................................................................................................... 43
3.7.1. Simulated return paths and the two views................................................................................................................................ 43
3.7.2. Logarithmic returns: why they are used..................................................................................................................................... 43
3.7.3. Fair-coin random walk: mean, variance and memory........................................................................................................... 44
3.7.4. Adding drift to the random walk.................................................................................................................................................... 44


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, 3.7.5. Normal log returns and lognormal prices................................................................................................................................... 44
3.7.6. Efficient markets, technical analysis and fundamental analysis........................................................................................ 45
3.7.7. Why machine learning is difficult in finance.............................................................................................................................. 45
3.7.8. Cross-sectional product ratings...................................................................................................................................................... 46
3.7.9. Same mean and variance, different distributions.................................................................................................................... 46
3.7.10. Skewness and risk perception...................................................................................................................................................... 47
3.7.11. Upside potential and downside risk: formulas...................................................................................................................... 48
3.7.12. Twelve-month worked example.................................................................................................................................................. 48
3.7.13. Generalized performance reporting........................................................................................................................................... 49
3.7.14. Loss aversion and product classification.................................................................................................................................. 49
3.7.15. Hold-to-Grow, Adapt-to-Trend and Adapt-to-Protect......................................................................................................... 49
3.7.16. Why risk-adjusted performance reporting matters............................................................................................................. 50
3.7.17. Retail investment landscape and client needs........................................................................................................................ 50
3.7.18. Term deposit and the budget for options................................................................................................................................. 51
3.7.19. Structured fund versus structured bond.................................................................................................................................. 52
3.7.20. Fundamental law and fees.............................................................................................................................................................. 52
3.7.21. Option basics....................................................................................................................................................................................... 53
3.7.22. Structured-product example 1: protected participation.................................................................................................... 53
3.7.23. Structured-product example 2: leveraged upside, downside and cap..........................................................................54
3.7.24. Structured-product exam method............................................................................................................................................... 55
3.7.25. Model answer structure for a product-comparison question.......................................................................................... 55

CHAPTER 4 Digital household finance: portfolios......................................................................................................................56
4.1. Portfolio construction: efficiency and adaptivity....................................................................................................................................... 56
4.2. Classic portfolio theory.......................................................................................................................................................................................... 56
4.2.1. The power of diversification............................................................................................................................................................ 56
4.2.2. Annualization......................................................................................................................................................................................... 56
4.2.3. Correlation.............................................................................................................................................................................................. 57
4.2.4. Two-asset portfolio formula............................................................................................................................................................ 57
4.2.5. Efficient frontier.................................................................................................................................................................................... 58
4.2.6. Selecting the optimal efficient portfolio...................................................................................................................................... 58
4.3. Goals-based wealth management..................................................................................................................................................................... 58
4.3.1. Reframing risk as goal shortfall...................................................................................................................................................... 58
4.3.2. Goal Probability and Loss Threshold curves............................................................................................................................. 59
4.4. Adaptive portfolios — method 1....................................................................................................................................................................... 60
4.4.1. Switching between efficient allocations...................................................................................................................................... 60
4.5. Adaptive portfolios — method 2....................................................................................................................................................................... 61
4.5.1. Static weights in adaptive asset-class strategies...................................................................................................................... 61
4.5.2. Selecting the strategies....................................................................................................................................................................... 61
4.5.3. Probability matching........................................................................................................................................................................... 61
4.5.4. Three-step weighting heuristic....................................................................................................................................................... 62
4.5.5. Worked example................................................................................................................................................................................... 62
4.5.6. Comparison of the two adaptive methods.................................................................................................................................. 62
4.6. Behavioral portfolios for normal people....................................................................................................................................................... 63
4.7. Use case: comfort-zone investing...................................................................................................................................................................... 64
4.7.1. Plain-language metrics....................................................................................................................................................................... 64
4.8. Chapter 4 — exam-oriented take-aways....................................................................................................................................................... 65
4.9. Integrated People–Products–Portfolios framework................................................................................................................................. 65
4.10. Detailed theory, calculations and syllabus additions............................................................................................................................ 66
4.10.1. Portfolio return and annualization............................................................................................................................................. 66
4.10.2. Why diversification reduces risk................................................................................................................................................. 66
4.10.3. Slide 9: switching two observations........................................................................................................................................... 67
4.10.4. Correlation is dynamic..................................................................................................................................................................... 67
4.10.5. Two-asset opportunity set and efficient frontier.................................................................................................................. 68
4.10.6. Many assets and diversification breadth.................................................................................................................................. 68
4.10.7. Selecting one efficient portfolio with risk aversion.............................................................................................................. 68
4.10.8. Why a static efficient portfolio may not be behaviorally sufficient...............................................................................69

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, 4.10.9. Goals-based investing: translating preferences..................................................................................................................... 69
4.10.10. Goal Probability and Loss Threshold curves........................................................................................................................ 69
4.10.11. Adaptive method 1: switching along the efficient frontier............................................................................................. 70
4.10.12. Adaptive method 2: static strategy weights......................................................................................................................... 71
4.10.13. Slow thinking selects the category; fast thinking selects the mix................................................................................71
4.10.14. Probability matching experiment............................................................................................................................................. 71
4.10.15. Three-step probability-matching portfolio algorithm...................................................................................................... 72
4.10.16. Worked probability-matching example................................................................................................................................. 72
4.10.17. Comparing the two adaptive approaches.............................................................................................................................. 73
4.10.18. Behavioral portfolio theory: finance for normal people.................................................................................................. 73
4.10.19. Comfort-zone investing................................................................................................................................................................ 73
4.10.20. Communication and reporting as part of portfolio construction.................................................................................74
4.10.21. Model answer structure for an integrated portfolio question....................................................................................... 74




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