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Contagion Prof. dr. Roger J. A. Laeven September 6, 2012 C ONTAGION - PowerPoint PPT Presentation

Amsterdam School of Economics Contagion Prof. dr. Roger J. A. Laeven September 6, 2012 C ONTAGION Challenges in Risk and Insurance Inaugural Lecture delivered upon appointment to the chair of Full Professor of Risk and Insurance at the


  1. Amsterdam School of Economics Contagion Prof. dr. Roger J. A. Laeven September 6, 2012

  2. C ONTAGION Challenges in Risk and Insurance Inaugural Lecture delivered upon appointment to the chair of Full Professor of Risk and Insurance at the University of Amsterdam on Thursday 6 September 2012 by Prof. dr. Roger J. A. Laeven Inaugural Lecture R.J.A. Laeven 2

  3. 1988  Roger “Urbanus” Laeven Inaugural Lecture R.J.A. Laeven 3

  4. 2012 Inaugural Lecture R.J.A. Laeven 4

  5. 2012  Sit back, relax and enjoy your stay. Inaugural Lecture R.J.A. Laeven 5

  6. September 21, 2005  Essays on Risk Measures and Stochastic Dependence, with Applications to Insurance and Finance. Inaugural Lecture R.J.A. Laeven 6

  7. September 6, 2012  Contagion: Challenges in Risk and Insurance. Inaugural Lecture R.J.A. Laeven 7

  8. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 8

  9. Jacob (James) Bernoulli  1691  Law of Large Numbers (Wet van de Grote Aantallen) Inaugural Lecture R.J.A. Laeven 9

  10. Excerpt of the Bernoulli Family Tree Nicolaus Jacob Nicolaus Johann Nicolaus Daniel Inaugural Lecture R.J.A. Laeven 10

  11. Jacob Bernoulli  Law of Large Numbers: “The average loss in an expanding pool of risks eventually becomes certain (or predictable).”  Pooling risks can serve as a basic risk mitigation technique. Inaugural Lecture R.J.A. Laeven 11

  12. Jacob Bernoulli  Acta Eruditorum  Correspondences with Leibniz  Monumentum aere perennius (Horace) (Een monument duurzamer dan brons) Inaugural Lecture R.J.A. Laeven 12

  13. Daniel Bernoulli  1731  Risk Measurement and Utility Inaugural Lecture R.J.A. Laeven 13

  14. Daniel Bernoulli  Expectations are no proper descriptions of risk.  St. Petersburg paradox.  Subjective elements (utilities). Inaugural Lecture R.J.A. Laeven 14

  15. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 15

  16. Law of Large Numbers  Implications poorly understood.  “The average loss in an expanding pool of risks eventually becomes certain (or predictable).”  Average not aggregate  Pooling large numbers of risks Inaugural Lecture R.J.A. Laeven 16

  17. Car  Frederike Laeven, 3 years Inaugural Lecture R.J.A. Laeven 17

  18. Example I: 1 car Probability 99% 1% Loss EUR 0 EUR 10,000 Inaugural Lecture R.J.A. Laeven 18

  19. Pool of Cars  Matthijs Laeven, 5 years Inaugural Lecture R.J.A. Laeven 19

  20. Example I: 1,000 cars Probability 99% 1% Loss EUR 0 EUR 10,000 Probability 99.999% 0.001% ≤EUR 250 Average Loss >EUR 250 Inaugural Lecture R.J.A. Laeven 20

  21. Example I: 1,000,000 cars Probability 99% 1% Loss EUR 0 EUR 10,000 Probability 99.999% 0.001% ≤EUR 104.26 Average Loss >EUR 104.26 Inaugural Lecture R.J.A. Laeven 21

  22. Lesson  “ While the loss of a single individual may be highly unpredictable, the average loss, averaged over an expanding pool of risks, eventually becomes predictable: EUR 100.” Inaugural Lecture R.J.A. Laeven 22

  23. Fallacies  Average versus Aggregate  Independent versus Dependent  Infinite versus Finite Inaugural Lecture R.J.A. Laeven 23

  24. Example II: Average vs. Aggregate (1,000 cars) Probability 99.999% 0.001% ≤EUR 250 Average Loss >EUR 250 Probability 95% 5% Aggregate Loss ≤EUR 150,000 >EUR 150,000 Inaugural Lecture R.J.A. Laeven 24

  25. Vulcano  Simon Laeven, 7 years Inaugural Lecture R.J.A. Laeven 25

  26. Example III: Independent vs. Dependent Probability 99% 0.9% 0.1% Loss EUR 0 EUR 10,000 EUR 10,000 Similar to Example I: Probability 99% 1% Loss EUR 0 EUR 10,000 Inaugural Lecture R.J.A. Laeven 26

  27. Example III: Independent vs. Dependent Probability 0.1% Average Loss EUR 10,000 Not similar to Example I: Probability 99.999% 0.001% ≤EUR 104.26 Average Loss >EUR 104.26 Inaugural Lecture R.J.A. Laeven 27

  28. Independent vs. Dependent Examples of Systematic Insurance Risks:  Longevity  Interest rate Inaugural Lecture R.J.A. Laeven 28

  29. Infinite vs. Finite  “The expanding pool of risks, eventually pooling infinitely many risks, only exists in the mathematician’s imagination.” Inaugural Lecture R.J.A. Laeven 29

  30. Basic Principle?  Pooling of risks does not lead to risk reduction on the aggregate level of the pool.  Why is the Law of Large Numbers is at the core of risk and insurance? Inaugural Lecture R.J.A. Laeven 30

  31. ??? Inaugural Lecture R.J.A. Laeven 31

  32. Owners: Risk Pooling and Risk Spreading  Matthijs Laeven, 5 years Inaugural Lecture R.J.A. Laeven 32

  33. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 33

  34. Fundamental Questions  How to measure risk?  How to price risk?  How to deal with dependences between risks? Inaugural Lecture R.J.A. Laeven 34

  35. Risk and Stochastics: Idea and Language* Probability Theory Economic Theory Mathematical Financial Statistics Economics Financial Insurance Mathematics Economics Insurance Econometrics Mathematics *Source: Norberg Inaugural Lecture R.J.A. Laeven 35

  36. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 36

  37. Risk Measures  Axiomatic characterization: Economic properties of risk measures <===> Mathematical representation of risk measures Inaugural Lecture R.J.A. Laeven 37

  38. Risk Measures  Implications for  Risk management and capital requirements;  Pricing in incomplete markets; and  Portfolio choice and asset allocation. Inaugural Lecture R.J.A. Laeven 38

  39. Contagion  Linguistically, contagion is synonymous with infection.  Main challenge in Risk and Insurance. Inaugural Lecture R.J.A. Laeven 39

  40. Contagion  Transmission of shocks takes place: in space (across countries or regions of the world) and in time (successive shocks in affected countries) Inaugural Lecture R.J.A. Laeven 40

  41. Contagion  Shocks generated from our model self-excite and cross-excite mimicking the patterns in the data. Inaugural Lecture R.J.A. Laeven 41

  42. Contagion  Earthquake analogy.  Non in cauda sed in caudis venenum (Laeven) (Niet in de staart maar in de staarten zit het venein) Inaugural Lecture R.J.A. Laeven 42

  43. Contagion  Implications for  Risk management and capital requirements;  Pricing; and  Portfolio choice and asset allocation.  “This matters because the risk management technique of diversification fails to be rewarding when it is needed most urgently.” Inaugural Lecture R.J.A. Laeven 43

  44. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 44

  45. Insurers and Pensions  “Against this backdrop, there are important opportunities for insurers to develop transparent and intelligent pension contracts, with unconditional promises and guarantees.” Inaugural Lecture R.J.A. Laeven 45

  46. Insurer Solvency and Supervision  “The time dimension should be acknowledged and more explicitly incorporated in solvency supervision.” Inaugural Lecture R.J.A. Laeven 46

  47. Education in Risk and Insurance  “Integrated approaches to Risk and Insurance, and specifically Integrated Risk Management, will become a central part of the education programs.”  Amsterdam Executive MSc Insurance Studies  MSc Actuarial Science and Mathematical Finance  Amsterdam Executive MSc Actuarial Science Inaugural Lecture R.J.A. Laeven 47

  48. Education in Risk and Insurance  Actuarial Society (AG-AI)  Tinbergen Institute Graduate School Inaugural Lecture R.J.A. Laeven 48

  49. Outline  A Brief History of Risk and Insurance  Basic Principles of Risk and Insurance  Risk and Insurance: Stochastics and Economics  Challenges in Risk and Insurance  Future of Risk and Insurance  Tot Slot Inaugural Lecture R.J.A. Laeven 49

  50. Contagion  “Financial contagion: crucial challenge and exciting research.” ( “Besmettingsgevaar in financiële markten: cruciale uitdaging en aanstekelijke problematiek.”) Inaugural Lecture R.J.A. Laeven 50

  51. Enjoying Modern Actuarial Risk Theory  Simon, Matthijs en Frederike Laeven. Inaugural Lecture R.J.A. Laeven 51

  52. Full text Full text of the inaugural lecture is available from: http://www.rogerlaeven.com/ (then under Miscellaneous -> Inaugural Lecture) Inaugural Lecture R.J.A. Laeven 52

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