Efficient Markets and Behavioral Finance Flashcards

1
Q

what is normal distribution?

A

CLM = the distribution of the sum of a large number of independent variables will be approximately normal

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2
Q

why do we have fat tails in finance - when we plot the monthly movements of Dow Jones index according to frequency

A
  • theoretical models predict = ND
  • what we actually see:
  • less clustering around the average
  • more outliers
  • fatter tails
  • extreme events happen a lot more frequently than theoretical models suggest
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3
Q

is it possible to beat the market
- can mutual funds out perform the stock market (S&P500)

A
  • data from 1970-2001 suggest that mutual funds do worse
  • there are examples of times where funds have made larger average annual returns compared to S&P = shows that you can beat the market
  • but 2000 crash = S&P outperformed overall = would have made more money without as much risk
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4
Q

what is a mutual fund

A

companies that invest in a diversifies portfolio of securities
- want to make a return on investment

professional investors trying to beat the market

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5
Q

what is the s&p 500?

A

broad measure of the U.S. stock market’s performance by tracking the stock prices of 500 large-cap companies

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6
Q

so if you cant consistently beat the market and make profits then the markets must be efficient?
random walk model

A
  • variance (pt+1) = var (pt) + var (pt)
  • var cant be negative
  • so var (pt+1) > var (et)
  • the forecast must be less variable than the variable forecasted
  • implies attempt to beat the market consistently through forecasting is difficult
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7
Q

why does Shiller disagree with the argument of efficient markets theory that the stock price represents an optimal forecast of the present value

A
  • shiller plotted discounted value of real dividends (plot of profits)
  • found that their profits go up and down but their variance is small
  • compared to the larger variance of prices
  • according to EMH = if prices are efficient then prices should reflect the profitability of companies - allocates resources efficiently
  • so if variance in profit < variance in prices = inefficient markets
  • shiller = financial markets are not efficient
  • Malkiel = most of the time allocate efficiently but dont sometimes (bubbles)
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8
Q

what are the reasons why markets arent efficient
- why don’t prices reflect all info

what are the 3 behavioural approaches to financial markets?

A
  1. feedback models
  2. smart money vs ordinary investors
  3. prospect theory
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9
Q

what is the feedback model?

A

suggests that market prices may not always fully reflect all available information, as feedback effects can influence short-term price movements

  • investors action and market movements create a feedback loop
  • if price increases, investors are more optimistic - increase their expectations and price increases further
  • this is because investors use past prices to influence their decisions - they believe there is a trend

= herding = everyone buys because everyone else is buying

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10
Q

what is experimental evidence of the feedback model?

what is a natural experiment of feedback models (prices increase - expectation increases - therefore prices increase more)

A

when people were preconditioned on bubbles, they were more likely to expect a bubble - as a result more bubbles were generated
- shows investors can create bubbles just because given past information about them

pyramid schemes = if everyone believes in it it will work - support it

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11
Q

what is cognitive support for feedback models?
representative heuristic
biased self attribution

A

representative heuristic = when people try to predict they use what happened most recently as an anchor for their decision making - ignoring observed probability

biased self attribution = investors attribute success in the markets as a result of their own high ability and attribute losses due to bad luck
- so if they do well = feel smart = so overinvest emotionally - not caring about chances

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12
Q

what is the smart money theory
first what happens in EMH
then what happens in real life

A

EMH = expect there to be noise from irrational optimists but smart investors correct this

real life = smart investors want to be ahead - outsmart the system
- can amplify fluctuations by buying ahead of feedback traders - announcement to get the prices to increase get people to buy = self fulfilling prophecy

  • short selling –> disadvantages = potential losses are infinite
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13
Q

what is prospect theory

  • make fast decisions use system 1 = emotional
A

your utility at any given point in time depends on how much wealth you have at that point

if wealth decreases from reference point:
investors are loss averse - they are more willing to take greater risks in order to avoid losses
- dont want to sell when the stock is in a bad place
- would rather take a gamble between bigger losses and a definite loss

if wealth increases from reference point:
risk averse

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