Test 2 Flashcards

(24 cards)

1
Q

Types of market participants

A

Investor vs speculator
hedger vs speculator
institutional vs retail
Dealer, investment bank, market maker

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Describe EMH

A
  • financial markets informationally efficient
  • no one can earn excess risk-adjusted returns given the info available at the time the investment is made
  • everyone is competing so hard that it negates any efforts to beat the market
  • history doesn’t matter, it is already reflected in market price at new equilibrium
  • market reactions normally distributed, due to external random events, and are proportional
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Analogy for EMH

A

dropping pebble or stone into water

-immediately raises to new equilibrium with a proportional reaction to the pebble

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

2 parts of EMH that 1987 crash invalidated

A
  • not normally distributed

- not always proportional to events of the day

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

How SHOULD the growth of the internet have validated EMH?

A

Information even easier to attain

??

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Briefly describe the sand pile analogy

A

Complex system
The effect of the next grain relies on not only the grain but also the state of the pile, there is friction.
Each grain can cause no change, a small avalanche or a big avalanche
Cause and effect hard to identify and not proportional ie earthquakes or jenga

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What characteristics set apart the sand pile from the EMH analogy?

A

There is friction to keep the sand pile from spreading out and finding new equilibrium like the water does, instead the pile builds up until eventual avalanche ie feedback theory

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Feedback theory

A
  • initial price increases lead to more increases or lead to the expectation of future price increases
  • increased confidence in risk taking due to patterns of price increases
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What assumptions of Black Scholes option pricing formula were invalidated by the 1987 crash?

A

lognormal distribution and markets are continuous

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Briefly outline LTCM ccase and aply 3 class concepts to it

A
feedback theory
sand pile analogy
confirmation bias
hindsight bias
randomness looks streaky
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Describe an example that Shiller uses to demostrate the exuberance of the late 90’s tech bubble

A

He would overhear people discusses at dinner and it was always on the tv

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Minsky Financial Instability Hypothesis

A
Prosperous times or times of stability
Leads to risk-taking and leverage
Further lead to speculative euphoria
Leading to financial fragility and collapse
Normal part of free-market economics
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Outline the issues around differentiating process vs outcome

A

Hindsight and confirmation bias plays a big role

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

The matrix

A
outcome/process
G/G deserved sucess
G/B dumb luck
B/G bad break
B/B poetic justice
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Peter Bernstein quote

A

“The fundamental law of investing is the uncertainty of the future”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

3 strats for seperating outcome and process

A
  • focus on process and decisions
  • constantly search for favorable odds/positive expected value
  • understand the role of time
17
Q

hedging int rate risk good or bad?

A

good process because outcome unknown

18
Q

Why does randomness look streaky

A

20 coin flips

streaks are likely over long periods

19
Q

confirmation bias

definition and 2 components

A

-tendency to favor info that supports the belief or hypothesis

1) sellectively gather info
2) interpret info in a biased way

20
Q

Strat to deal with confirmation bias

A

Look for evidence against

21
Q

Complex System

A

composed on many components which interact - sandpile

22
Q

Complex Adaptive systems

A

like sandpile PLUS LEARNING
complex-diverse and made up of multiple interconnected elements
adaptive-have the capacity to learn and change from experience

23
Q

Process vs outome
when is it important?
what should you do?

A

In complex or random systems

Judge the quality of decision by the info available at the time of the decision

24
Q

Hedger
Speculator
Investor
Market Maker

A

H- taking an offsetting position to hedge an existing risk ie westjet hedging fuel costs
S- Short term price appreciation, increasing risk, attempting to profit from price change
I- Long term price appreciation, interest, dividends
MM- willing to buy sell at certain prices ie pawn shop (dealer, investment bank)