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Discipline herald — Finance
Discipline herald

Level 2 · M.Sc

MSc Advanced Fundamental Analysis & Value Investing

Finance · Live · v0

Path type
Finance
Requirements
MSc Fundamental Analysis & Value Investing
Enrollment

€19.95

Deadline
Next cohort starts 2027-09-06 (AY 2027/28)
Length
~1 year · 42 phases
Language
English · Español
Content freshness
Curriculum updated 2026-08-23 · content rev c74eee6f
Cortex Credits (CC)
126 CC · 280 CC across all tiers of this programme
What are Cortex Credits?
Syllabus
View the phase syllabus
  1. The doctoral bridge: from valuekit to quantkit
  2. Numerical foundations without a stack
  3. Probability, estimation & inference for finance
  4. The research fixture panel
  5. Accruals under the microscope
  6. IFRS vs US GAAP: the comparability problem
  7. Revenue recognition & the timing levers
  8. Leases, pensions & off-balance-sheet obligations
  9. Combinations, goodwill & purchase accounting
  10. Earnings quality & statistical detection of manipulation
  11. Consolidation, segments & cross-border groups
  12. From a point estimate to a distribution
  13. Monte-Carlo DCF
  14. Bayesian priors on growth and reversion
  15. Real options I: lattices
  16. Real options II: continuous-time analogues and honest calibration
  17. Cost of capital under uncertainty
  18. Reverse DCF, scenarios & stress
  19. Cross-sectional asset pricing
  20. Factor construction
  21. Fama-MacBeth & standard errors that survive
  22. The replication crisis in finance
  23. Backtest protocol
  24. Out-of-sample discipline
  25. Combining signals
  26. Machine learning in asset pricing
  27. Term structure I: curve construction
  28. Term structure II: short-rate models
  29. Term structure III: no-arbitrage frameworks & model risk
  30. Credit I: structural models
  31. Credit II: reduced-form models
  32. Credit III: portfolio credit risk
  33. Volatility surfaces
  34. Stochastic volatility & jumps
  35. xVA
  36. The limit order book
  37. Information & adverse selection
  38. Liquidity measurement
  39. Execution & implementation shortfall
  40. Market design judged empirically
  41. Why mean-variance fails in practice
  42. Covariance estimation

Syllabus →

Enrolment prerequisites
  • A verified account and admissions-committee approval.

Professor: Vacancy available

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