Chapter 3: Stochastic dominance and behavioural finance Flashcards
Absolute dominance
When one investment portfolio provides a higher return than another in all possible circumstances.
1st order stochastic dominance (equations)
A will dominate B if: Fa(x) <= Fb(x) for all x, and Fa(x) < Fb(x) for some value of x.
1st order stochastic dominance (description)
A will dominate B if the probability of portfolio B producing a return below a certain value is never less than the probability of portfolio A producing a return below the same value, and exceeds it for at least some value of X.
Second-order stochastic dominance
Condition for A to dominate B is that:
int_a^x F_A(y) <= int_a^x F_B(y)
where a is the lowest return that the portfolios could possibly provide.
Behavioural finance
looks at how a variety of mental biases and decision-making errors affect financial decisions.
Contrarian fund
one that tends to take the opposite view of the rest of the market.
Anchoring
Used to explain how people produce estimates.
They start with an initial idea of the answer (“the anchor”) and then adjust away from this initial anchor to arrive at their final judgement.
Anchor value
the original estimate provided
pre-anchor estimate
the mean estimate people make before being exposed to an explecit anchor.
Prospect theory
Relates to how people make decisions when faced with risk and uncertainty.
It replaces the conventional risk-averse / risk-seeking decreasing marginal utility theory with a concept of value defined in terms of gains and losses relative to a reference point.
This generate utility curves with a point of inflexion at the chosen reference point.
Framing
The way in which a choice is presented (“framed”) and, particularly the working of a question in terms of gains and losses, can have an enormous impact on the answer given or the decision made.
Myopic loss aversion
Similar to prospect theory but considers repeated choices rather than a single gamble.
Research suggests investors are less risk-averse when faced with a multi-period series of “gambles”, and that the frequency of choice or length of reporting will also be influential.
Representative heuristics
People find more probable that which they find easier to imagine.
As the amount of detail increases, its apparent likelihood may increase.
Availability
People are influenced by the ease with which something can be brought to mind.
This can lead to biased judgements when examples of one event are inherently more difficult to imagine than examples of another.
Hindsight bias
Events that happen will be thought of as having been predictable prior to the event;
Events that do not happen will be thought of as having been unlikely prior to the event.