Wk4a Flashcards

1
Q

Random walk theory

A
  • Movement of stock prices form day to day do not reflect a pattern and statistically movements are rands on

-They should be skewed positively over long term

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2
Q

What is the efficient market hypothesis

A

It views the expectations as equal to optimal forecasts using all available information

Re=Rf
Re=R*
Roof=R*

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3
Q

Weak form of market efficiency

A

Prices reflect information contained in past prices

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4
Q

Semi strong form of market efficiency

A

Prices reflect not only information contained in past prices but all publicly available information

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5
Q

Strong form of market efficiency

A

Prices reflect not only public ally available information (including past prices) but also private information can be possibly acquired

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6
Q

What happens when markets are weakly efficient

A

Asset prices should follow a random walk and technical analysis is not useful

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7
Q

If markets are efficient in a semi strong sense

A

Prices adjust immediately to any announcement such as statements merger acquisitions

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8
Q

Strong market efficiency

A

No fund manager can ever beat the market - other than by luck ( difficult to prove )

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9
Q

Testing weak form (2)

A

We could show that investors with chart analysis do not outperform the market

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10
Q

Testing semi strong

A

We could test that prices jump following any news about a company

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11
Q

Testing strong

A

We could check whether any fund manager is able to beat the market on the long run

We could check whether any sustained performance if a fund manager is a sign of fraud

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12
Q

What empirical evidence is in favour of the weak form of market efficiency

A
  • there is some evidence that trading rules based on purely technical analysis does not outperform the market
  • you can see that stock price and exchange rates follow a random walk
  • no systematic pattern
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13
Q

Evidence against weak meh

A

Small firm effect
Calendar patterns
Market overreaction
Excessive volatility
Mean reversion
New info delay

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14
Q

What’s is small firm effect

A

Many studies have shown that small firms earned abnormally high returns over long periods of time even when the greater risk of these firms have been considered

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15
Q

Calendar patterns

A

Monday effect - returns are lower
January effect - returns are higher than in other months

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16
Q

Market overreaction

A

Stock prices may overreact to new announcements and that pricing errors are corrected slowly

17
Q

Excessive volatility

A

Fluctuations in stock prices may be greater than is warranted by fluctuations in there fundamental value

18
Q

Mean reversion

A

Some people have found low returns tend to have high returns in the future and vice versa

19
Q

New info daily

A

New info is not always immediately incorporated into stock prices

20
Q

Testing semi strong form of MH

A

Examine the price changes in the period surrounding the takeover announcement
- if the price jumps all of a sudden and not mover before or after the announcement

21
Q

How can we isolate announcement effect

A

Through abnormal returns the difference between the actual return and the expected return

Ra = ri - Er(ri)

22
Q

Earnings announcement drift

A