Based on our previous work on the standard measure of risk, this paper pres
ents two classes of measures for perceived risk by decomposing a lottery in
to its mean and standard risk. One of the classes of our risk measures pres
umes that there is no risk when there is no uncertainty involved, and the o
ther allows different degenerate lotteries to be evaluated with different v
alues of "risk." The former has more prescriptive appeal in risky decision
making, but the latter may have more descriptive power for subjective risk
judgments. Our risk measures can also take into account the asymmetric effe
cts of losses and gains on perceived risk based on an appropriate choice of
the standard measure of risk. The perceived risk models we propose unify a
large body of empirical evidence regarding risk judgments, and provide suf
ficient flexibility to better capture people's perceptions of risk than pre
viously developed risk models, in particular, our risk measures provide cle
ar ways to accommodate financial measures of risk and psychological measure
s of risk, and they can be incorporated into preference models in an appeal
ing form based on mean-risk tradeoffs.