| 1. | Biases |
| 2. | Confirmation bias - Jersey driver |
| 3. | Status quo bias - we like to keep things as they are |
| 4. | Endowment effect - 2 endow one's holdings w/> value then they have simply bcuz 1 holds them |
| 5. | Avoiding Losses (loss aversion) - people take > risks to avoid losses than 2 obtain gains |
| 6. | Mental Accounts - you start w/$15 at casino, make $1 million, lose all and think you lost $15 bucks |
| 7. | Research Bayes Thereom |
| 8. | Self-fulfilling prophecy |
| 9. | data mining |
| 10. | survivorship bias |
| 11. | Markov chains |
| 12. | DC Sniper Probability Problem |
| 13. | Parrando's paradox |
| 14. | Gambler's fallacy - coin flips are governed by a probablistic rubber band |
| 15. | Newsletter Scam - 64,000 names 1/2 get buy and 1/2 get sell stock xyz, repeated until 7 in a row for 1000 people and charge high rate for 8th pick |
| 16. | People have difficulty simulating a series of coin flips |
| 17. | Benford's Law = #'s start with 1 30% of time, 2 abt 18%, 3 12.5%...9 < 5% from distributions of distributions |
| 18. | Compound Interest formula = P * (1 + r)^t, where Principle, Rate, Time in years |
| 19. | Quarterly compounding = A = P(1 + r/n) ^ (n*t) |
| 20. | Continuous compounding = P * e ^ (r * t) where e = 2.718 |
| 21. | Discounting - determining the Present Value of Future money |
| 22. | Avg vs. Geometric return = if 80% up and -60% down per week, start w/10K, avg = 1.4mm and geo = $1.95 |
| 23. | Buy stocks with PEG < .5 and sell with PEG > 1.5 |
| 24. | Buy stocks w/low P/B ratio or low p/s ratio |
| 25. | 35 stocks with highest rate of return and 35 w/lowest rate reversed 3 - 5 yrs later |
| 26. | Regression to mean |
| 27. | Value investing over 3 - 5 year period does better than growth investing |
| 28. | Puzzle 3 men at hotel convention |
| 29. | Expected value <> Value Expected |
| 30. | Expected value = Avg of its values weighted according to their probablity |
| 31. | Estimate stock will increase 1% pr = 95%, down 60% pr = 5% |
| 32. | Expected value = (.01 * .95) + (-0.6 * .05) = -2.1% |
| 33. | Value expected = +1% |
| 34. | Central Limit Theorem - avgs and sums of sufficent # of chance dependant quatities are always normally distributed |
| 35. | covariance - between 2 stocks is the degree to which they vary together |
| 36. | a chg in one is proportional 2 a chg in the other |
| 37. | goal is to find stocks w/negative covariance |
| 38. | There aer > funds than stocks |
| 39. | A fund is a set of stocks |
| 40. | If there are n stocks there are 2^n subsets |
| 41. | Pollitically incorrect sectors (tobacco, alcohol, defense, fast-food, gambling) |
| 42. | Single index model(?) |
| 43. | Sharpe ratio = (rtn - risk free rtn) / volatility |
| 44. | CAPM = Capital Asset Pricing Model |
| 45. | Systemic Risk = is related to movement in the market. Can be eliminated or diversified away |
| 46. | Non-systemic risk = idiosyncratic to stock of portfolio |
| 47. | Criticism of Beta - problem of forcing a non-linear world into a linear model |
| 48. | Complex behavior can result from simple rules of interaction |
| 49. | Non-linear Systems - hit a rack of billiard balls two times and you get different results, even if intial hit appears the same |
| 50. | Power Laws |
| 51. | When volume is high trades are influenced by few popular nodes |
| 52. | * Mutual funds |
| 53. | * Analysts |
| 54. | * Media outlets |
| 55. | becoming aligned in teh sentiments |
| 56. | This alignment creates extreme price movement |
| 57. | A contagious alignment of this handful of very popular, connected, influential nodes will occur > frequently than people expect |
| 58. | Extreme price movement will occur > frequently than people expect |
| 59. | EMH - Efficicient Market Hypothesis. If people believe it, it doesn't exist, if people don't believe it, it exists |
| 60. | Prisner's Dilema |
| 61. | Game Theory |
| 62. | Neural Networks |
| 63. | Don't succumb 2 hype & enthusiasm |
| 64. | Don't put too many eggs in one basket |
| 65. | Don't forget to insure against sudden drops |
| 66. | Don't buy on margin |
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