00Thaler_FM i-xxvi.qxd

(Nora) #1

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

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