Proposition 5:Using standard normal distribution properties,
*=E[P 1 , θ+η] (A3)
It is straightforward to show that the ratio of the date 2 mispricing
to * is
(A4)
which is constant (for a given level of confidence). Thus, selective
events can alternatively be viewed as events that are linearly related
to *.
High values of * signify overpricing and low values underpricing.
The proposition follows by observing that
(A5)
and
(A6)
Since cov(P 3 −P 2 , *)<0, by the conditioning properties of mean-
zero normal distributions, E[P 3 −P 2 *] can be written in the form
k*, where k<0 is a constant. Thus, E[P 3 −P 2 *]<0 if and only
if*>0. Since this holds for each positive realization of *, E[P 3 −
P 2 *>0]<0. By symmetric reasoning, E[P 3 −P 2 *<0]>0. The
result for event-date price reactions uses a similar method. Since
cov(P 2 −P 1 ,*)<0, it follows that E[P 2 −P 1 *]<0 if and only if
*>0.
Proposition 6: We interpret the “fundamental/price” ratio or “run-up”
as For part 1,
(A7)
By our assumption that the selective event is linearly related to *,
the selective event is positively correlated with the mispricing mea-
sure, proving part 1.
cov( , *)
[( ) ]
()
θ.
σσσ σ σσ
σσ σ σσ
θθ
θθ
−=
++
++
P >
pp
Cp p
1
222 2 22
22 2 22 0
θ−P 1.
cov( , *)
[( ) ]
()[()]
PP Cpp.
CCp p
21
224 2 2 2 22
−=−22222 222 0
++
+++
<
σσσ σ σ σ σσ
σσσσσ σσ
θθθ
θθθ
cov( , *)
()( )
[( ) ][( ) ]
PP
pC
ppC pp
32
222 2 2 2 2
−= 22 2 22 2 2 2 220
++ −
++ ++
<
σσσ σ σ σ σ
σσ σ σσ σ σ σ σσ
ηθ θ
θθθθ
σσσ σ σσ
σσ σ σ
θθ
θθ
22 2 2 22
22 2 2
[( ) ]
()
Cpp,
pC
++
−
=
++− +
++
σσ σ θ σσθ η
σσ σ σσ
θθ
θθ
(^222) 22
22 2 22
()()()
()
.
p
pp
INVESTOR PSYCHOLOGY 491