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1
Q

normative analysis

A
  • concerned with the rational solution to the problem at hand
  • defines an ideal that actual decisions should strive to approximate
  • ex: traditional finance assumptions about behavior
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2
Q

descriptive analysis

A

concerned with the manner in which real people actually make decisions

ex: behavioral finance explanations of behaviors

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3
Q

prescriptive analysis

A

practical advice and tools that might help people achieve results more closely approximating those of normative analysis

ex:efforts to use behavioral finance in practice

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4
Q

2 categories of behavioral finance

A
  • BFMI:behavioral finance micro => looks at factors that distinguish INDIVIDUAL INVESTORS from rational actors in finance theory
  • BFMA: behavioral finance macro => considers MARKET ANOMALIES that distinguish mkts from the efficient mkts in traditional finance
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5
Q

2 typed of behavioral biases

A

cognitive errors and emotional biases

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6
Q

cognitive errors

A

errors due to stats, info processing or memory aka due to faulty thinking

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7
Q

emotional biases

A

stem from implude or intuition or reasoning that’s influenced by feelings

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8
Q

utility theory

A

people maximize the present value of utility subject to a present value budget constraint

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9
Q

axioms of utility theory

A

completeness

transitivity

independence

continuity

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10
Q

completeness

A

individuals have well defined preferences and can decide between any two alternatives

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11
Q

transitivity

A

an individual decides consistently

if a>b
b>c
then a>c

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12
Q

independence

A

ppl have well defined preferences

preference order of two choices combined in the same proportion with a third choice maintains the same preference order as the original preference order

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13
Q

continuity

A

there are indifference curves where an individual is indifferent between all points

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14
Q

Bayes formula

A

explains that existing probability beliefs should be changed given new info.
assumes all possible events must be mutually exclusive and exhaustive events with known probabilities

P(A|B)=[P(B|A)/P(B)]P(A)

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15
Q

rational economic man (REM)

A

tries to obtain the highest possible economic well being given budget constraints and available info about opportunities, and basing considerations only on his own personal utility.

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16
Q

certainty equivalent

A

used to evaluate attitudes towards risk

given an opportunity go participate or forgo participating in an event for which the outcome is uncertain, sees how much $ a person would pay to participate or not participate

17
Q

how can the degree of risk aversion be measured?

A

by the curvature of the utility function

linear: risk neutral
concave: risk averse
convex: risk seeking

18
Q

bounded rationality

A

assumes that individual’s choices are rational but are subject to limitations of knowledge and cognitive capacity

19
Q

Friedman Savage double inflection utility function

A

risk evaluation is reference dependent

there may be levels of wealth for which an investor is a risk seeker and levels of wealth for which an investor is risk neutral

at both low income levels and high income levels ppl are risk averse
in between these two levels, people are risk loving

20
Q

prospect theory

A

assigns value to gains and losses (changes in wealth) rather than to final wealth and probabilities are replaced by decision weights

the value function is defined by deviations from a refence point and is steeper for losses than gains (risk aversion)

21
Q

neuro economics

A

attempts to explain investor behavior based on functioning of brain

22
Q

decision theory

A

identifying values, probabilities and other uncertainties relevant to a given decision and using that info to arrive at a theoretically optimal decision

it’s normative (concerned with identifying the ideal decision)

assumes the decision maker is fully informed, can make calculations with accuracy and is rational

23
Q

did btwn expected utility and expected value, and who did it?

A

Bernoulli

expected value: based on its price and is the same for everyone

expected utility: based on the worth assigned to it by a person and hence dif from person to person

24
Q

Knight’s distinctions between risk and uncertainty

A

risk: randomness with knowable probabilities
uncertainty: randomness with unknowable probabilities

bottom line is that risk is measurable but uncertainty is not

25
Q

Subjective Utility Theory (SEU)

A
  • introduced by Savage
  • builds on expected utility theory (u choose what gived u the highest utility) to situations with only subjective probabilities
  • so with the subjective probabilties u can make a probability dist of variables and choose the highest utility option
26
Q

bounded rationality

A
  • Simon
  • people are not fully rational when making decisions and do not necessarily optimize but rather satisfice and use bounded rationality
27
Q

bounded rationality

A

people gather some but not all available info and use heuristics(shortcuts) to analyze the info and stop when they have arrived at a satisfactory, not necessarily optimal, decision.

28
Q

satisfice

A

combines satisfy and suffice

describes decisions, actions and outcomes that may not be optimal but they are adequate

29
Q

aspiration level

A
  • term Simon uses in his theory of bounded rationality
  • instead of looking at every alternative, people set constraints as to what will satisfy their needs…the constraints show what is aspired to
  • constraints=aspiration levels
  • set based on experiences and comparisons with others
30
Q

prospect theory

A
  • Kahneman and Tversky
  • 2 phases of making a choice
  • an early phase in which prospects are framed (or edited) and a subsequent phrase in which prospects are evaluated and chosen
31
Q

Editing/framing stage of prospect theory

A
  • alternatives are ranked according to a basic heuristic that’s chosen by the decision maker
  • this contrasts with the elaborate algorithms of expected utility theory
  • understanding how choices are presented impacts the final stage
  • ultimate purpose is to simplify the evaluation of choices by reducing the number of choices that needs to be more thoroughly evaluated
  • there may be 6 operations in the editing process: codification, combination, segregation, cancelation, simplification, detection of dominance