Ec4004 2008 Lecture 5 Uncertainty

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    Ec4004 2008 Lecture 5 Uncertainty - Presentation Transcript

    1. EC4004 Lecture 5 Uncertainty Dr Stephen Kinsella
    2. “I always avoid prophesying beforehand because it is much better to prophesy after the event has taken place.” --Winston Churchill
    3. Market Demand Uncertainty Elasticity Induction Diddy! Probability Turkeys!
    4. 3 Big Questions...
    5. What is Risk?
    6. What is Uncertainty?
    7. How do we deal with their existence?
    8. Bertrand Russell on Certainty:
    9. “The demand for certainty is one which is natural to man, but is nevertheless an intellectual vice. If you take your children for a picnic on a doubtful day, they will demand a dogmatic answer as to whether it will be fine or wet, and be disappointed when you cannot be sure...”
    10. ...but so long as men are not trained to withhold judgement in the absence of evidence, they will be led astray by cocksure prophets...For the learning of every virtue there is an appropriate discipline, and for the learning of suspended judgement the best discipline is philosophy.
    11. “The message is: That there are known knowns, There are things we know that we know, There are known unknowns, That is to say there are things that we now know, we don't know. But there are also unknown unknowns, There are things we do not know we don't know. And each year we discover a few more. Of those unknown unknowns.”
    12. Epistemology Study of the nature, sources, and limits of knowledge
    13. There is a turkey in this picture.
    14. Growth of Turkey (Weight (kilos)) Days Xmas
    15. Subprime Crisis Irish Budget Deficit Sarah Palin Harry Potter
    16. Induction+Uncertainty =Black Swan
    17. Get it wrong in a Black Swan World: World of Pain
    18. 086 399 83 06
    19. Probability of an event happening: is the relative frequency with which an event occurs
    20. Gamblor Likes Probability.
    21. Probability of “heads” coming up on a toss of a fair coin is ½. That is, when the coin is tossed many times, we can expect “heads” to come up in approximately one-half of tosses.
    22. Expected value of game with a number of uncertain outcomes: is the size of the prize that player will win on average. On a single toss of a coin, Jones pays Smith €1 (X1 = + €1) if a tail comes up. Smith will pay Jones €1 (X2 = - €1) if a head comes up, the expected value of a game for both players is
    23. If game changes so that, from Smith’s point of view, X1 = €10, and X2 = - €1, the expected value for Smith would be: Because Smith would stand to win €4.50 on average, she might be willing to pay Jones up to this amount to play. • Fair games are games that cost precisely their expected value.
    24. When people face risky but fair situations, they will usually choose not to participate. Risk aversion is tendency for people to refuse to accept fair games.
    25. Mathematica
    26. Utility U 0 20 30 33 35 40 50 Income (thousands of euros)
    27. Current €35,000 provides utility of U3. Utility of €5,000 bet is the average of the utility of €40,000 (if a player wins) and utility of €30,000 (if a player loses). Average utility is U2< U3. The utility (U1< U2) of the €5000 bet is the average of the utility of winning (€50,000) and losing (€20,000).
    28. Utility U U3 U2 U1 Income 0 20 30 33 35 40 50 (thousands of euros)
    29. 086 399 83 06
    30. Insurance
    31. Utility U U1 Income 0 20 25 35 (thousands of euros)
    32. Fair insurance: the premium equals the expected value of the loss.
    33. Utility U2 U U1 Income 0 20 25 27.5 35 (thousands of euros)
    34. Utility U2 U U1 U0 Income 0 20 23 25 27.5 35 (thousands of euros)
    35. Some risks are so unique or difficult to evaluate that insurers are unable to set premium rates - risks become uninsurable. If events are so infrequent or totally unpredictable (such as wars, “Acts of God” etc.) then insurers have no basis for establishing premiums.
    36. Diversification: is an economic version of “Don’t put all your eggs in one basket.” • Diversification spreads risk among several options rather than choosing only one. Suitably spreading risk may increase utility above that obtain by a single transaction.
    37. Investing in 15,000 shares of company A yields a 50 percent chance of having €50,000 and a 50 percent chance of having €20,000. Yields a utility level of U1. If the person invests in 7,500 shares of each company, they face four possible outcomes shown in Table 5-1.
    38. Utility U U1 Income 0 20 35 50 (thousands of euros)
    39. Each of four outcomes is equally likely; with half of cases, the investor ends up with the original €35,000. Diversification strategy, while it still has an expected value of €35,000, has less risk. Figure 5-3, point C represents when B does poorly, and D represents when B does well. Point E, (the average of C and D) results from diversification, and yields utility U2 > U1.
    40. 086 399 83 06
    41. A Utility-Maximizing Model
    42. C2 Certainty line E C2 E B U2 D CA 2 A U1 CE1 C A1 C1
    43. C2 Certainty line E C2 E B U2 D CA 2 A U1 E C1 A C1 C1
    44. Try: 5.1, 5.3, 5.5
    45. Uncertainty Induction Game Theory Probability Turkeys!
    46. EC4004 Lecture 5 Uncertainty Dr Stephen Kinsella

    + Stephen KinsellaStephen Kinsella, 2 years ago

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