BF W11
behavioral trading strategy
3 assumptions
- investors make behavioural mistakes
- your trading should be opposite to the mistake
greedy when others are afraid, and afraid when others are greedy
- in the long run, price will converge to the fundamental value
used by large institutional investors with great capital (hedge/mutual funds) NOT retail investors
BECAUSE this strategy needs quantitive trading (quat trading)
use research to find anomaly
anomaly: abnormal returns that can't be explained by traditional risk factors -> contradict traditional finance
click to edit
5 steps
Step 1
identify the anomaly that you wanna use in your behaviour trading strategy
connect anomaly to behavioral biases or theories
step 2
sort all investments in the same market by the anomaly factor
step 3
set investment into 10 deciles based on the anomaly factor
step 4
create the strategy
key: identify which investments in which decile is most over/undervalued -> short/long the investment in these deciles
step 5
test the (systematic) risk of the portfolio
ex: salient effect: investors are attracted to stocks with salient upsides -> overvalued and earn low subsequent returns. Opposite to salient downside stock
ex: salient effect
ex: system 1 -> consume less energy -> limited attention -> availability bias + representative bias -> salient effect
quantify anomaly factor using closing price of the stock
use datanalysis premium rmit to calculate return from historical data of stock price in medium term (1m<x<12m)
ex: process
sort close price from high->low
choose 200 top and 200 bottom firms after sorting, ignore firms in the middle -> to represent the salient effect
ex: long the firms in lowest decile (least salient) and short firms in highest decile (most salient)
ex: see slides w11
ex: test whether the difference between firms in highest decile and lowest decile is derived from risk
ex:test at least whether market risk drives your result
calc raw return in future and market adjusted return (=raw retrun-market return at the same period) to control market risk
NOTE: no need to calculate in asm, only describe