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The value of social media for predicting stock returns preconditions, instruments and performance analysis

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The Value of Social Media for Predicting
Stock Returns


Michael Nofer

The Value of Social
Media for Predicting
Stock Returns
Preconditions, Instruments
and Performance Analysis
With a Foreword by Prof. Dr. Oliver Hinz


Michael Nofer
Darmstadt, Germany
Dissertation, TU Darmstadt, Germany, 2014

ISBN 978-3-658-09507-9
ISBN 978-3-658-09508-6 (eBook)
DOI 10.1007/978-3-658-09508-6
Library of Congress Control Number: 2015935424
Springer Vieweg
© Springer Fachmedien Wiesbaden 2015
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or
part of the material is concerned, speci¿ cally the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on micro¿lms or in any other physical way, and
transmission or information storage and retrieval, electronic adaptation, computer software, or by
similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this
publication does not imply, even in the absence of a speci¿c statement, that such names are


exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this
book are believed to be true and accurate at the date of publication. Neither the publisher nor the
authors or the editors give a warranty, express or implied, with respect to the material contained
herein or for any errors or omissions that may have been made.
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(www.springer.com)


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Firms
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user
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"Like"
their
cbines
tha
rev al
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like

Tecbnis h

special.

the


can

Univers t

Darmst d

Inter

poten ial

ap ro ch

in

question

and

si not
.tuo

an

easy

stock
work.
wil


al

es ay

in

depth

at

whic

dna

and
the
domain

bo k

the
undertaki g

practi oners

this

such

methods.


thoug f l

of
the

tries
with

of

set

hand

.syad
Big
Dat
a gold
rush.
are
also
valu ot a s e
the
the
precondiI t is o n e
gains.
a great
care,


examin s

phenom

a dif er nt
is t h e
res a ch
This
car ied
both,

other
poten ial-

dat

and
perfo mance

reto ns

the

of

dis erta on

stock

in

Nofer's

mid le

!bat

this

on

rof

ther by
thes

the

Nofer's
the

valu b e

can

at r c ive

beli v

,stnirp o f


se m
and

in

madat

dig tal

dna
os

like
consumer

ac es ibl
dleif

on
tha

as et
leav

cur ently

social
cli k ng
agre


uniq e
tha

this
are

man ge
by

tangible
ot

networks

i s fre ly
dev lopm nts

used

to

bil on

Many

their

user

one


tas e

recom ndati s

hand

be

base

ac es

thes

of
over

websit .

their

of
social

a lot o f thes
dat
ot f o r e c a s t
fut re
monetiz d.

This
poten ial
makes
t o b e the n e w
oil a n d
we
Res arch
and
practi oners
alike
beating
eht
stock
market.
Michael
o f social
media
rof
predict ng
instrume
and
final y
as e
tsrif
dis erta on
!bat
examin s
such
a huge
dat

base
and
with
o f this
bo k
A com n
them
the
importan
and
timely
examin s
t h e is ue
a t hand.
empir cal
work
!bat
has
be n
I hig ly
recom end
this
bo k
ot
i n predict ng
eht
dev lopm nt
o f the
mileston
ot b e o n e

hig ly
ben fit
from
Michael
this
publicat on
and
I beli v
tha
dat

one

make

many
by

on

User
or

user
their

justif ed

mainly


number
has

com uni ate
on

be

a large

their

to

av il b e
can ot

firms

to
exampl

al owing
and

base

pref nc s

ac es

for

servic

nowad ys
but

thes

have
Facebo k

conte

capit l z on
their

can

onli e
are

inve tor s,

makes

authors
nice

!bat

aspect .

share

!bat

or

eht

Pinter s
many

their
and

market

rof

in

rof
post

but ons

ident fy g

inter s d

poten ial
sre
with

life

ot

nO

the
the

or

daily

regist red

thes
ly be
is a s u m e d
ble
value
tions,
of
with

Facebo k
our


I laud

res a ch

who

market.

The

and
in m y
I wish
the
b e a huge
Prof.

bo k

are
the

sah

opin

the

author


al

readthe

best

!s ec u
.rD

Oliver

Hinz


Acknowledg ments
This
dis erta ion
was
t o take
this
op rtunity
a t eht
Chair
o f Information
I would
particular y
giv ng
me
the

chance
a n inter sting
field
to be among
the
first
Hinz
ful y
de icates
joyed
working
in
ag in.
It was
also
thank
Prof.
tional y
Electronic
Services,
of
One
article
mano
(University
very
schaft).
I am
notable
res arche s.

I would
also
ported
each
other
sup ort.
The
advice
valu ble
to me.
I
by
def ats
snfIer d
have
met
talented
program ing
task .
Final y,
I want
ac ompanyi g
me
ble
without
the
encouragem nts
me
over
t h e years.

Darmstadt

ac epted

by
to

TU

thank

Darmstadt

those

I

Systems
like
conduct

to
of

to

he

time


to

like

to

the

writ en

thank

my

those

Jan

Munter-

We
our

my

such

have

sup-


especial y
me

I am
dat

of

would

with

interp sonal
was

comf rting
SC.

terms

who

and

conju ction

with

for


esp cial y
people

Dr.

Darmstad .

Karls uher

and
dis erta ion

This
of

in
TU

in

I ad iSystems

col qniums

me

friends

journey.


work

Franz

sup orted

dna

years.

(Frauoh fer-Ges l -

scient fic
club

Prof.
I en-

ag in
the

dis erta ion.
Prof.

but

Markos

fort nate


ins ghts

RoBnagel

at

for
such

day

Information

ko wledg ,
the

I was

over

alongside
Heiko

Hinz,

Every

my


col eagues

who

this

grow
of

to

fo tbal

time

in

201 ,
responsib lit es,

new

team
(Chair

during

Oliver

ne d .


co-supervis ng
Dr.

thank

to
on

in

gain g
the

technical

favorite

Chair

when ver
se

my

I rec ived

Dr.

numerous


op rtunity

with

like
my

condit ons

the

Ben1ia
for
was

particularly

Prof.

his

and

I would
during

outs aoding

founde


atmospher ,
to

thank

only

my
stodents

supervisor,
under

Despite
stodents

his

2014.
me

Markets.
my

When

sucb
a pleas nt
a great

pleasure
Dr.
Alexander
TU
Darmstad )
this
dis erta ion
o f GOt inge )
grateful
for

not

Electronic

thank

stodents.

November
sup orted

who

res arch

stody.
PhD
his


in
people

wonderful
not

after

also

the

grateful

to

col ection

and
family

have

be n

unco dit n a1ly

for
pos i-


sup orted

Michael

Nofer


Table

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