Lecture 06

Loading...

Flash Player 9 (or above) is needed to view presentations.
We have detected that you do not have it on your computer. To install it, go here.

0 comments

Post a comment

    Post a comment
    Embed Video
    Edit your comment Cancel

    Favorites, Groups & Events

    Lecture 06 - Presentation Transcript

    1. The Psychology of Human Misjudgment-V
    2. Video on Dopamine
    3. Dopamine (Chemical Dependency) A hormone and neurotransmitter (http://en.wikipedia.org/wiki/Dopamine)
    4. Less than 1/1000th of 1% of the 100 billion neurons in your produce dopamine
    5. Dopamine has disproportionate power Unlike other neurons, its not like a light bulb
    6. Dopamine shoots forth bursts-like fireworks, spraying energy throughout that part of brain which converts motivations into decisions and actions. In less than 1/20th of a second
    7. Cocaine causes dopamine increase resulting addictive pleasure. Operant Conditioning: It feels so good, I want more more more!!!
    8. Neuroecono mics: There is no difference between a man who who just made a killing in the markets and a man who is high on cocaine
    9. Dot Con Video Clip - Dope Addicts?
    10. Getting what you expected produces no dopamine kick
    11. However, an unexpected gain fires up the brain (neurons go from firing 3 times a second to 40 times a second)
    12. If expected reward fails to materialize, dopamine dries up
    13. Unexpected pleasant surprises make people ecstatic because of the dopamine surge they produce
    14. If lab rats are wired up to receive tiny pulses of electrical stimulation in the dopamine centers of the brain when they press a lever...
    15. ...they often begin tapping it nonstop to the exclusion of other activities, including eating and drinking...
    16. They would rather starve to death than live without that dopamine surge inside their brains.
    17. The human equivalent of this Lab Rat is there in all of us...
    18. Scene from Requiem for a Dream
    19. Dopamine system loves novel stimuli. Glamor stocks
    20. Variety is the spice dope of [market] life IPOs New Hot Stocks e.g. dotcoms
    21. “Severe change and exceptional returns usually don't mix. Most investors, of course, behave as if just the opposite were true...
    22. “That is, they usually confer the highest price-earnings ratios on exotic-sounding businesses that hold out the promise of feverish change...
    23. “That prospect lets investors fantasize [THINK DOPAMINE] about future profitability rather than face today's business realities. For such investor-dreamers, any blind date is preferable to one with the girl next door, no matter how desirable she may be.”
    24. “We make bricks in Texas which use the same process as in Mesopotamia.” - Charlie Munger
    25. Just like in video games, vivid stock market screens and real time charts offer frequent change (i.e. volatility) and sometimes unexpected good surprises, thereby producing surges of dopamine which results in addiction
    26. Average person buys more aggressively in response to recent price rises - expectation of further rises
    27. Dopamine release increases and fires up reflexive system crowding out reflective thought.
    28. “Investment success will not be produced by arcane formulae, computer programs or signals flashed by the price behavior of stocks and markets....
    29. ... Rather an investor will succeed by coupling good business judgement with an ability to insulate his thoughts and behavior from the super contagious emotions that swirl about the marketplace.”
    30. Monetary gains have narcotic power
    31. Addicted gamblers chain themselves to slot machines Using adult diapers
    32. “People are most credulous when they are most happy”- Walter Bagehot They become extremely suggestible and will believe almost anything
    33. A person in a manic state is impulsive, turbocharged with euphoria, often unable to sleep, and endowed with a grand ability to “perceive” the underlying significance of everything around him
    34. I am on a roll- I can see the future, nothing can stop me - I am the master of the universe
    35. Elevated levels of dopamine of a man in a hot state makes him overconfident.
    36. One-time gains start looking like perpetuities, luck becomes skill, and “early retirement” is just around the corner...
    37. Over Optimism & Over Confidence
    38. Video on Influence of Arousal Elevated levels of dopamine of a man in a hot state makes him overconfident.
    39. Normal human tendency 90% of drivers think that they are better than average drivers
    40. Why do people buy lottery tickets? Or indulge in day trading?
    41. 74% of investors in a survey said that their own funds will consistently outperform the market Reality? Only a handful actually do
    42. Only 37% of managers believe that mergers create value for buyers. But when it came to their own mergers and acquisitions, 58% said their deals will create value
    43. Video Clip of Mr. Buffett on LTCM Leverage is where overconfidence can be found
    44. 1. We are arrogant about what we know- Arrogance 2. We are over-confident of our predictive abilities- Predictions
    45. Arrogance about what we know
    46. Take a room full of people Randomly pick a number e.g. sales of books during september, size of the Mississippi river etc.
    47. Ask each person in the room to independently estimate a range of possible values for that number set in such a way that they have a 98% probability of being right.
    48. e.g. I am 98% confident that the population of Japan is between 20 million and 50 million.
    49. We can draw inferences about human nature by counting how many people guessed wrong. It should not be much higher than 2 people out of 100. Note: the subjects are free to set their range as wide as possible.
    50. You are not trying to gauge their knowledge but rather their evaluation of their own knowledge
    51. The 2% error rate turns out to be between 15% and 30%!
    52. We can be wrong about ourselves by a factor of 15 times!
    53. It does not matter whether subjects are Harvard Business School students, doctors, lawyers etc.
    54. Overoptimism in Predictions
    55. Our track record in making predictions is very bad The future is very unpredictable
    56. Oil at $140?
    57. Oil at $10?
    58. The value of ONGC when Oil is at $10 will be VASTLY different from its value when its at $140
    59. “It’s stupid the way people extrapolate the past- and not slightly stupid, but massively stupid.”
    60. “For years the financial services have been making stock-market forecasts without anyone taking this activity very seriously. Like someone else in the field they are sometimes right and sometimes wrong. Wherever possible, they hedge their opinions so as to avoid the risk of being proved completely wrong...
    61. “(There is a well developed art of Delphic phrasing that adjusts itself successfully to whatever the future brings.) In our view – perhaps a prejudiced one – this segment of their work has no real significance except for the light it throws on human nature in the securities markets. Nearly everyone interested in common stocks wants to be told by someone else what he thinks the market is going to do.The demand being there, it must be supplied.”
    62. “The market's rise after a period of reaccumulation is a bullish sign. Nevertheless, fulcrum characteristics are not yet clearly present and a resistance area exists 40 points higher in the Dow, so it is clearly premature to say the next leg of the bull market is up...
    63. “If, in the coming weeks, a test of the lows holds and the market breaks out of its flag, a further rise would be indicated. Should the lows be violated, a continuation of the intermediate term downturn is called for...
    64. “In view of the current situation, it is a distinct possibility that traders will sit in the wings awaiting a clearer delineation of the trend and the market will move in a narrow trading range."
    65. “If you ask me exactly what it means, I'm afraid I cannot tell you, but I think the technician probably had the following thing in mind: "If the market does not go up or down, it will remain unchanged."- Burton Malkiel in “A Random Walk Down Wall Street”
    66. “Like a Don Juan or a Casanova, the chartist has an unending series of short affairs with stocks. First there is observation, a watching of the head and shoulders, the neckline, and the shape of the bottom. Flirtation may involve some resistance or some support. As involvement increases, congestion builds. There may be penetration of old tops, or a violation of former lows. These give way to mounting excitement and then climax, followed by the warm afterglow of profit taking.” - Burton Malkiel
    67. “We do not have an opinion about where the stock market, interest rates, or business activity will be a year from now.We've long felt that the only value of stock forecasts is to make fortune tellers look good. We believe that short-term market forecasts are poison and should be kept locked up in a safe place, away from children and also from grown-ups who behave in the market like children.”
    68. “If I taught a course in investments, my final exam would be to value this Internet stock.
    69. “And if they came up with an answer, they'd flunk. And if they came up with a blank sheet of paper, I'd probably give them a B.
    70. “And if they said how the hell could you ask something so dumb? I’d give them an A.”
    71. “There are two classes of forecasters:Those who don't know and those who don't know they don't know.” John Galbraith
    72. I have never seen a research report which says: “The value of this is 1,000 if this happens and 50 if something else happens, and I have no clue what will happen.” Importance of Plausible Range of Values
    73. Financial modelers use scenario analysis and then apply subjective probabilities to each scenario to arrive at the “expected value”
    74. That’s the functional equivalent of the statistician who drowned in water which was, on average, only 4 feet deep!
    75. He forgot that the RANGE of depth was between 2 feet and 10 feet!
    76. “Variability matters e.g. if you go on a trip and I tell you the temperature will be 30 degrees with an expected error rate of 20 degrees, you’d take a different set of clothes than in the situation where I told you that the expected error rate is 5 degrees.”
    77. Nassim Taleb “The worst case scenario is often more consequential than the forecast itself.”
    78. Worst Case Scenarios
    79. Two very different (System 1 i.e reflexive) reactions to worst case scenarios
    80. “Available” worst case-scenarios results in ignorance of frequency and overweighing of magnitude. Consequence: Excessive Overreaction
    81. “Available” worst case-scenarios results in ignorance of frequency and overweighing of magnitude. What is most “available?” Personal vs.Vicarious experience Recency Vividness e.g. Terrorism vs Climate Change
    82. Immediately after a horrible scenario (e.g. terrorist attack, major market crash), people’s perception of risk goes through a major change.
    83. If worst case scenario is “unavailable” there is a tendency to assume that the frequency is as good as zero Consequence: Utter Neglect e.g. Terrorism vs Climate Change
    84. “It hasn’t happened for a long time, so it won’t happen” Earthquake and volcano eruptions LTCM “It can’t happen to me!” Cognitive Dissonance and Psychological Denial
    85. “In all my experience, I’ve never been in an accident of any sort worth speaking about. I have seen but one vessel in distress in all my years at sea...
    86. “I never saw a wreck and have never been wrecked nor was I ever in any predicament that threatened to end in disaster of any sort.”- E.J. Smith, 1907, Captain, RMS Titanic
    87. The Dangers of Excel Models
    88. How to Value a Bond, or a Business using Microsoft Excel?
    89. Definition of value is very precise: Present value of future cash flows
    90. The sheer number of assumptions in a valuation model are mind boggling
    91. How do we calculate future cash flows? By using financial forecasting tools like Microsoft Excel Extrapolation, ignorance of diseconomies of scale, ignorance of competition, regulation.
    92. Where does the cost of capital come from? It comes from CAPM
    93. Minor changes in inputs can make a vast difference in the final valuation number
    94. In some cases, most of the value is comprised in cash flows which will occur several years from now So we have to worry about forecast degradation
    95. Increasing the discount factor is not the way to do it!
    96. “I don’t think you can stick numbers on a highly speculative business where the whole industry is going to change in 5 years and have it mean Warren Buffett anything.
    97. “If you say, “I am going to stick an extra 6% on the interest rate to allow for that” I think that’s nonsense. It may look mathematical, but its mathematical gibberish in Warren Buffett my view. . .”
    98. P/E Multiples in a high growth business are extremely sensitive to growth rates What happened to Infosys?
    99. Underneath all the precision of the formulae lies the imperfect man For example...
    100. “What you find in practice, of course – the test used by most CEOs – is that the cost of capital is about ¼ of 1% below the return promised by any deal that the CEO Warren Buffett wants to do!”
    101. Thats why Excel Models can be used to rationalize almost any desired behavior! Enter Animal Spirits
    102. “The combination of precise formulas with highly imprecise assumptions can be used to establish, or rather to justify, practically any value one wishes, however high, for a really outstanding Benjamin Graham company.”
    103. “Any business craving of the leader, however foolish, will be quickly supported by detailed rate-of-return and Warren Buffett strategic studies prepared by his troops.”
    104. Man is not a rational animal; rather man is a rationalizing one…
    105. And Excel is a beautiful tool which helps him do just that! You don’t even need “Goal Seek” function because its already built into the human user!
    106. “People calculate too much and think too little.”
    107. Overoptimism arising out of misunderstanding of causal chains
    108. Causal Chains A chain is only as strong as its weakest link Or is it?
    109. Airline business vs. Dominant FMCG
    110. Why are airline businesses “accidents waiting to happen?” Why is it the same for any highly leveraged businesses, or a business which needs access to outside capital markets?
    111. Businesses which depend on the kindness of strangers
    112. The Expected Value Frame of Mind
    113. “Take the probability times the amount of possible loss from the probability of gain times the amount of possible gain. that is what we are trying to do. its imperfect, but that's what it is all about.”
    114. Frequency-Magnitude The expected value frame of mind Tendency to focus on frequencies or magnitudes but not expected values
    115. “If its not worth doing at all its not worth doing well.” - Charlie Munger
    116. Frequency-Magnitude Taleb’s Bleed strategy Being wrong most of the times! (e.g. venture cap) What about that CNBC Interview?
    117. Denominator Blindness
    118. Perseverance, Optimism and Luck
    119. Michael Jordan Commercial (Link) 26 times I’ve been entrusted to I’ve failedthat isand over, and And over, why, I succeed I’ve missed more thangames I’ve lost almost 300 shot. take the game-winning 9,000 over again in my life shots inmissed And my career
    120. “You only have to get rich once- Warren Buffett
    121. Position Sizing and Overoptimism
    122. Kelly Criteria Link
    123. Scene from 21 - Counting Cards in Blackjack
    124. Scene from 21 - Counting Cards in Blackjack
    125. “It is not given to human beings to have such talent that they can just know everything about everything all the time. But it is given to human beings who work hard at it – who look and sift the world for a mispriced bet – that they can occasionally find one.
    126. “And the wise ones bet heavily when the world offers them that opportunity. They bet big when they have odds. And the rest of the time, they don't. It's just that simple.”
    127. “Our experience tends to confirm a long- held notion that being prepared, on a few occasions in a lifetime, to act promptly in scale, in doing some simple and logical thing, will often dramatically improve the financial results of that lifetime.
    128. “A few major opportunities, clearly recognizable as such, will usually come to one who continuously searches and waits, with a curious mind, loving diagnosis involving multiple variables.
    129. “And then all that is required is a willingness to bet heavily when the odds are extremely favorable, using resources available as a result of prudence and patience in the past.
    130. “Opportunity comes, but it doesn’t come often so seize it when it does come.”
    131. Look, If you Had One Shot One Opportunity To Seize Everything You Ever Wanted One Moment Would you Capture it? Or Just Let It Slip? Eminem agrees
    132. Outliers, Unpredictability, and Luck
    133. “Along the hilly slopes of the bell curve, most values - the data points that track whatever is being measured- are clustered around the middle. The average value is also the most common value.
    134. “The points along the far extremes of the curve contribute very little statistically. If 100 random people gather in a room and the world's tallest man walks in, the average height doesn't change much.
    135. “But if Bill Gates walks in, the average net worth rises dramatically. Height follows the bell curve in its distribution.Wealth does not: It follows an asymmetric, L- shaped pattern known as a “power law,” where most values are below average and a few far above. In the realm of the power law, rare and extreme events dominate the action.”- David Shaywitz (Link)
    136. Link
    137. “There’s a place he calls Mediocristan. This was where early humans lived. Most events happened within a narrow range of probabilities – within the bell-curve distribution still taught to statistics students. But we don’t live there any more.
    138. “We live in Extremistan, where black swans proliferate, winners tend to take all and the rest get nothing – there’s Bill Gates, Steve Jobs and a lot of software writers living in a garage, there’s Domingo and a thousand opera singers working in Starbucks.
    139. “He points out, chillingly, that banks make money from two sources.They take interest on our current accounts and charge us for services.This is easy, safe money.
    140. “But they also take risks, big risks, with the whole panoply of loans, mortgages, derivatives and any other weird scam they can dream up. “Banks have never made a penny out of this, not a penny.They do well for a while and then lose it all in a big crash.” - Profile of Nassim Taleb in Sunday Times (Link)
    141. Link
    142. Link
    143. Link
    144. Why is Reliable Hit Prediction Impossible?
    145. “When people tend to like what other people like, differences in popularity are subject to what is called “cumulative advantage,” or the “rich get richer” effect. This means that if one object happens to be slightly more popular than another at just the right point, it will tend to become more popular still... Darwin’s Theory of Evolution
    146. “As a result, even tiny, random fluctuations can blow up, generating potentially enormous long-run differences among even indistinguishable competitors...
    147. “Thus, if history were to be somehow rerun many times, seemingly identical universes with the same set of competitors and the same overall market tastes would quickly generate different winners: Madonna would have been popular in this world, but in some other version of history, she would be a nobody, and someone we have never heard of would be in her place.”
    148. Parallel Universes
    149. Web-based experiment. More than 14,000 participants registered at Music Lab (www.musiclab.columbia.edu), and were asked to listen to, rate and, if they chose, download songs by bands they had never heard of.
    150. Some of the participants saw only the names of the songs and bands, while others also saw how many times the songs had been downloaded by previous participants. This second group — “social influence” condition — was further split into eight parallel “worlds” such that participants could see the prior downloads of people only in their own world.
    151. All the artists in all the worlds started out identically, with zero downloads — but because the different worlds were kept separate, they subsequently evolved independently of one another. Darwin’s Theory of Evolution
    152. In all the social-influence worlds, the most popular songs were much more popular (and the least popular songs were less popular) than in the independent condition. Winner takes all tendency
    153. At the same time, however, the particular songs that became hits were different in different worlds, just as cumulative- advantage theory would predict. Introducing social influence into human decision making, in other words, didn’t just make the hits bigger; it also made them more unpredictable.
    154. Thank You
    SlideShare Zeitgeist 2009

    + Sanjay BakshiSanjay Bakshi Nominate

    custom

    136 views, 0 favs, 0 embeds more stats

    BFBV Lecture on Psychology of Human Misjudgment

    More info about this document

    © All Rights Reserved

    Go to text version

    • Total Views 136
      • 136 on SlideShare
      • 0 from embeds
    • Comments 0
    • Favorites 0
    • Downloads 3
    Most viewed embeds

    more

    All embeds

    less

    Flagged as inappropriate Flag as inappropriate
    Flag as inappropriate

    Select your reason for flagging this presentation as inappropriate. If needed, use the feedback form to let us know more details.

    Cancel
    File a copyright complaint
    Having problems? Go to our helpdesk?

    Categories