Event-driven mobile financial information services: design of an intraday decision support system
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Buch |
Sprache: | English |
Veröffentlicht: |
Wiesbaden
Dt. Univ.-Verl.
2007
|
Ausgabe: | 1. ed. |
Schriftenreihe: | Gabler Edition Wissenschaft
|
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | XXII, 185 S. graph. Darst. |
ISBN: | 9783835008885 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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100 | 1 | |a Muntermann, Jan |e Verfasser |4 aut | |
245 | 1 | 0 | |a Event-driven mobile financial information services |b design of an intraday decision support system |c Jan Muntermann |
250 | |a 1. ed. | ||
264 | 1 | |a Wiesbaden |b Dt. Univ.-Verl. |c 2007 | |
300 | |a XXII, 185 S. |b graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Gabler Edition Wissenschaft | |
502 | |a Zugl.: Frankfurt, Univ., Diss., 2007 | ||
650 | 7 | |a Aktienkurs |2 swd | |
650 | 7 | |a Daten |2 swd | |
650 | 4 | |a Dissertation / Thesis - 18 | |
650 | 7 | |a Finanzinformationssystem |2 swd | |
650 | 7 | |a Kapitalmarkt |2 swd | |
650 | 7 | |a Mobile Telekommunikation |2 swd | |
650 | 7 | |a Push-Technik |2 swd | |
650 | 4 | |a Wertpapierhandel / Wertpapierspekulation / Management-Informationssystem / Mobile Computing / Wirtschaftsinformatik / Event Study / Deutschland | |
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Datensatz im Suchindex
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---|---|
adam_text |
Table
of
Contents
_
IX
Table of Contents
Foreword
.
V
Preface
.
VII
Table of Contents
.
IX
Figures
.XIII
Tables
.
XV
Variables and Symbols
.XVII
Equations
.XXI
1
Introduction
.1
1.1
Mobile Financial Services
.2
1.2
Research Objective and Questions
.3
1.3
Structure of the Thesis
.4
1.4
Definitions and Research Methodology
.7
1.4.1
Empirical
Datasets
and Data Analysis
.7
1.4.2
IT Artifact Definition
.8
1.4.3
Design Science Research Framework
.8
2
Analysis of Intraday Stock Price Effects on the German Capital
Market
.13
2.1
Theoretical Foundation and Research Methodology
.13
2.1.1
Efficient Market Hypothesis
.13
2.1.2
Introduction to Event Study Analysis
.14
2.1.3
Statistical Hypothesis Testing for One Sample Parameters
.20
2.1.3.1
Parametric Test Procedure:
Studenti-Test
.21
2.1.3.2
Nonparametric Test Procedures: Wilcoxon Signed Rank Test
.23
2.2
An Event Study Analysis of the German Capital Market
.24
2.2.1
Dataset
.25
2.2.1.1
Market Event Definition
.25
2.2.1.2
Intraday Stock Prices
.30
2.2.1.3
Data Processing Automation
.31
2.2.2
Measuring Normal and Abnormal Stock Returns
.32
2.2.3
Research Hypotheses
.37
2.2.4
Sample Analysis and Descriptive Statistics
.39
2.2.5
Empirical Results
.42
2.2.5.1
Parametric Test Results
.43
Table
of
Contents
2.2.5.2
Nonparametric Test Results
.
45
2.3
Conclusion of the Intraday Event Study
.
47
Mobile Notification and Decision Support for Private Investors
.51
3.1
Introduction to Decision Support Systems Research
.
52
3.2
Characteristics of Decision Support Systems
.
5^
3.2.1
System Purpose
.
58
3.2.2
Target User Groups
.
58
3.2.3
Enabling Technologies
.
60
3.2.4
Decision Support Systems Technology Components
.61
3.3
A Mobile Service Approach to Support Intraday Investment Decision
Making
.
63
3.3.1
System Purpose and Targeted User Group
.63
3.3.2
Supporting Investors with Mobile Communication Technologies
.64
3.3.3
Forecasting Models as Dominant DSS Component
.66
3.3.4
Price Effect Magnitude Forecasting
.68
3.3.4.1
Forecasting Object and Explanatory Variables
.68
3.3.4.2
Information and Forecasting
Dataset
.
70
3.3.4.3
Model Construction
.
73
3.3.4.4
Model Quality Evaluation
.
76
3.3.5
Price Effect Duration Forecasting
.
79
3.3.5.1
Forecasting Objects and Explanatory Variables
.79
3.3.5.2
Information and Forecasting
Dataset
.81
3.3.5.3
Model Construction
.
84
3.3.5.4
Model Quality Evaluation
.
87
3.4
Summary of the Decision Support System Concept
.90
I Design of an IT Artifact for Intraday Decision Support
.93
4.1
IT Artifacts in Information System Research
.93
4.2
Introduction to Design Science Research
.·.94
4.3
The MoFin DSS IT Artifact: Mobile Financial Decision Support for Private
Investors.·.«.».
.,.96
4.3.1
Requirement Analysis
.96
4.3.1.1
Functional Requirements
.96
4.3.1.2
Mobile Communication Requirements
.101
4.3.2
Technical Infrastructure
.103
4.3.2.1
Client/Server Architecture
.104
4.3.2.2
Mobile Communication Infrastructure
.105
4.3.3
Software Implementation
.106
4.3.4
System Functionalities
.108
Table
of Contents
_
XI
4.3.4.1
Server-Side View
.108
4.3.4.2
Client-Side View
.113
4.3.5
Limitations of the IT Artifact
.118
4.3.5.1
Conceptual Limitations
.119
4.3.5.2
Functional Limitations of the Implementation
.120
4.3.5.3
Security Constraints
.120
4.4
Summary of IT the Artifact Design
.123
5
Evaluation of the IT Artifact
.125
5.1
Tbeoretical Foundation and Statistical Foundations
.126
5.1.1
Productivity Evaluations
.127
5.1.2
Business Profitability Evaluations
.129
5.1.3
Consumers' Value Evaluations
.130
5.1.4
Statistical Hypothesis Testing for Two Sample Parameters
.131
5.1.4.1
Paired Differences i-Test
.131
5.1.4.2
Unequal-Variances/-Test
.132
5.2
Definition of the Artifact Evaluation Criteria
.133
5.2.1
Major Contributions of the IT Artifact to Consumers' Value
.133
5.2.2
Realizable Return Calculation
.136
5.2.3
Mean Realizable Yield Calculation
.137
5.3
Simulation-based Empirical Evaluation Results
.139
5.3.1
Reduction of Reaction Time
.141
5.3.1.1
Simulation Setup and
Dataset
.141
5.3.1.2
Realizable Return Simulation
.141
5.3.1.3
Mean Realizable Yield Simulation
.144
5.3.2
Decision Support Model
.145
5.3.2.1
Simulation Setup and
Dataset
.146
5.3.2.2
Realizable Return Simulation
.146
5.3.2.3
Mean Realizable Yield Simulation
.147
5.4
Conclusion of the IT Artifact Evaluation
.151
6
Summary and Further Research
.155
6.1
Summary of the Approach
.155
6.2
Research Contributions
.158
6.3
Practical Implications
.„.159
6.4
Further Research
.161
References
.167
Appendix: Realizable Return Distributions
.183 |
adam_txt |
Table
of
Contents
_
IX
Table of Contents
Foreword
.
V
Preface
.
VII
Table of Contents
.
IX
Figures
.XIII
Tables
.
XV
Variables and Symbols
.XVII
Equations
.XXI
1
Introduction
.1
1.1
Mobile Financial Services
.2
1.2
Research Objective and Questions
.3
1.3
Structure of the Thesis
.4
1.4
Definitions and Research Methodology
.7
1.4.1
Empirical
Datasets
and Data Analysis
.7
1.4.2
IT Artifact Definition
.8
1.4.3
Design Science Research Framework
.8
2
Analysis of Intraday Stock Price Effects on the German Capital
Market
.13
2.1
Theoretical Foundation and Research Methodology
.13
2.1.1
Efficient Market Hypothesis
.13
2.1.2
Introduction to Event Study Analysis
.14
2.1.3
Statistical Hypothesis Testing for One Sample Parameters
.20
2.1.3.1
Parametric Test Procedure:
Studenti-Test
.21
2.1.3.2
Nonparametric Test Procedures: Wilcoxon Signed Rank Test
.23
2.2
An Event Study Analysis of the German Capital Market
.24
2.2.1
Dataset
.25
2.2.1.1
Market Event Definition
.25
2.2.1.2
Intraday Stock Prices
.30
2.2.1.3
Data Processing Automation
.31
2.2.2
Measuring Normal and Abnormal Stock Returns
.32
2.2.3
Research Hypotheses
.37
2.2.4
Sample Analysis and Descriptive Statistics
.39
2.2.5
Empirical Results
.42
2.2.5.1
Parametric Test Results
.43
Table
of
Contents
2.2.5.2
Nonparametric Test Results
.
45
2.3
Conclusion of the Intraday Event Study
.
47
Mobile Notification and Decision Support for Private Investors
.51
3.1
Introduction to Decision Support Systems Research
.
52
3.2
Characteristics of Decision Support Systems
.
5^
3.2.1
System Purpose
.
58
3.2.2
Target User Groups
.
58
3.2.3
Enabling Technologies
.
60
3.2.4
Decision Support Systems Technology Components
.61
3.3
A Mobile Service Approach to Support Intraday Investment Decision
Making
.
63
3.3.1
System Purpose and Targeted User Group
.63
3.3.2
Supporting Investors with Mobile Communication Technologies
.64
3.3.3
Forecasting Models as Dominant DSS Component
.66
3.3.4
Price Effect Magnitude Forecasting
.68
3.3.4.1
Forecasting Object and Explanatory Variables
.68
3.3.4.2
Information and Forecasting
Dataset
.
70
3.3.4.3
Model Construction
.
73
3.3.4.4
Model Quality Evaluation
.
76
3.3.5
Price Effect Duration Forecasting
.
79
3.3.5.1
Forecasting Objects and Explanatory Variables
.79
3.3.5.2
Information and Forecasting
Dataset
.81
3.3.5.3
Model Construction
.
84
3.3.5.4
Model Quality Evaluation
.
87
3.4
Summary of the Decision Support System Concept
.90
I Design of an IT Artifact for Intraday Decision Support
.93
4.1
IT Artifacts in Information System Research
.93
4.2
Introduction to Design Science Research
.·.94
4.3
The MoFin DSS IT Artifact: Mobile Financial Decision Support for Private
Investors.·.«.».
.,.96
4.3.1
Requirement Analysis
.96
4.3.1.1
Functional Requirements
.96
4.3.1.2
Mobile Communication Requirements
.101
4.3.2
Technical Infrastructure
.103
4.3.2.1
Client/Server Architecture
.104
4.3.2.2
Mobile Communication Infrastructure
.105
4.3.3
Software Implementation
.106
4.3.4
System Functionalities
.108
Table
of Contents
_
XI
4.3.4.1
Server-Side View
.108
4.3.4.2
Client-Side View
.113
4.3.5
Limitations of the IT Artifact
.118
4.3.5.1
Conceptual Limitations
.119
4.3.5.2
Functional Limitations of the Implementation
.120
4.3.5.3
Security Constraints
.120
4.4
Summary of IT the Artifact Design
.123
5
Evaluation of the IT Artifact
.125
5.1
Tbeoretical Foundation and Statistical Foundations
.126
5.1.1
Productivity Evaluations
.127
5.1.2
Business Profitability Evaluations
.129
5.1.3
Consumers' Value Evaluations
.130
5.1.4
Statistical Hypothesis Testing for Two Sample Parameters
.131
5.1.4.1
Paired Differences i-Test
.131
5.1.4.2
Unequal-Variances/-Test
.132
5.2
Definition of the Artifact Evaluation Criteria
.133
5.2.1
Major Contributions of the IT Artifact to Consumers' Value
.133
5.2.2
Realizable Return Calculation
.136
5.2.3
Mean Realizable Yield Calculation
.137
5.3
Simulation-based Empirical Evaluation Results
.139
5.3.1
Reduction of Reaction Time
.141
5.3.1.1
Simulation Setup and
Dataset
.141
5.3.1.2
Realizable Return Simulation
.141
5.3.1.3
Mean Realizable Yield Simulation
.144
5.3.2
Decision Support Model
.145
5.3.2.1
Simulation Setup and
Dataset
.146
5.3.2.2
Realizable Return Simulation
.146
5.3.2.3
Mean Realizable Yield Simulation
.147
5.4
Conclusion of the IT Artifact Evaluation
.151
6
Summary and Further Research
.155
6.1
Summary of the Approach
.155
6.2
Research Contributions
.158
6.3
Practical Implications
.„.159
6.4
Further Research
.161
References
.167
Appendix: Realizable Return Distributions
.183 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Muntermann, Jan |
author_facet | Muntermann, Jan |
author_role | aut |
author_sort | Muntermann, Jan |
author_variant | j m jm |
building | Verbundindex |
bvnumber | BV023310434 |
classification_rvk | QP 345 |
ctrlnum | (OCoLC)255547713 (DE-599)BVBBV023310434 |
dewey-full | 658.4038011 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4038011 |
dewey-search | 658.4038011 |
dewey-sort | 3658.4038011 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
discipline_str_mv | Wirtschaftswissenschaften |
edition | 1. ed. |
format | Thesis Book |
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genre_facet | Hochschulschrift |
geographic | Deutschland swd |
geographic_facet | Deutschland |
id | DE-604.BV023310434 |
illustrated | Illustrated |
index_date | 2024-07-02T20:49:59Z |
indexdate | 2024-08-08T00:10:25Z |
institution | BVB |
isbn | 9783835008885 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016494719 |
oclc_num | 255547713 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-1051 |
owner_facet | DE-355 DE-BY-UBR DE-1051 |
physical | XXII, 185 S. graph. Darst. |
publishDate | 2007 |
publishDateSearch | 2007 |
publishDateSort | 2007 |
publisher | Dt. Univ.-Verl. |
record_format | marc |
series2 | Gabler Edition Wissenschaft |
spelling | Muntermann, Jan Verfasser aut Event-driven mobile financial information services design of an intraday decision support system Jan Muntermann 1. ed. Wiesbaden Dt. Univ.-Verl. 2007 XXII, 185 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Gabler Edition Wissenschaft Zugl.: Frankfurt, Univ., Diss., 2007 Aktienkurs swd Daten swd Dissertation / Thesis - 18 Finanzinformationssystem swd Kapitalmarkt swd Mobile Telekommunikation swd Push-Technik swd Wertpapierhandel / Wertpapierspekulation / Management-Informationssystem / Mobile Computing / Wirtschaftsinformatik / Event Study / Deutschland Finanzinformationssystem (DE-588)7598952-9 gnd rswk-swf Daten (DE-588)4135391-2 gnd rswk-swf Kapitalmarkt (DE-588)4029578-3 gnd rswk-swf Mobile Telekommunikation (DE-588)4341131-9 gnd rswk-swf Push-Technik (DE-588)4516787-4 gnd rswk-swf Deutschland swd (DE-588)4113937-9 Hochschulschrift gnd-content Finanzinformationssystem (DE-588)7598952-9 s Mobile Telekommunikation (DE-588)4341131-9 s Kapitalmarkt (DE-588)4029578-3 s Daten (DE-588)4135391-2 s Push-Technik (DE-588)4516787-4 s DE-604 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016494719&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Muntermann, Jan Event-driven mobile financial information services design of an intraday decision support system Aktienkurs swd Daten swd Dissertation / Thesis - 18 Finanzinformationssystem swd Kapitalmarkt swd Mobile Telekommunikation swd Push-Technik swd Wertpapierhandel / Wertpapierspekulation / Management-Informationssystem / Mobile Computing / Wirtschaftsinformatik / Event Study / Deutschland Finanzinformationssystem (DE-588)7598952-9 gnd Daten (DE-588)4135391-2 gnd Kapitalmarkt (DE-588)4029578-3 gnd Mobile Telekommunikation (DE-588)4341131-9 gnd Push-Technik (DE-588)4516787-4 gnd |
subject_GND | (DE-588)7598952-9 (DE-588)4135391-2 (DE-588)4029578-3 (DE-588)4341131-9 (DE-588)4516787-4 (DE-588)4113937-9 |
title | Event-driven mobile financial information services design of an intraday decision support system |
title_auth | Event-driven mobile financial information services design of an intraday decision support system |
title_exact_search | Event-driven mobile financial information services design of an intraday decision support system |
title_exact_search_txtP | Event-driven mobile financial information services design of an intraday decision support system |
title_full | Event-driven mobile financial information services design of an intraday decision support system Jan Muntermann |
title_fullStr | Event-driven mobile financial information services design of an intraday decision support system Jan Muntermann |
title_full_unstemmed | Event-driven mobile financial information services design of an intraday decision support system Jan Muntermann |
title_short | Event-driven mobile financial information services |
title_sort | event driven mobile financial information services design of an intraday decision support system |
title_sub | design of an intraday decision support system |
topic | Aktienkurs swd Daten swd Dissertation / Thesis - 18 Finanzinformationssystem swd Kapitalmarkt swd Mobile Telekommunikation swd Push-Technik swd Wertpapierhandel / Wertpapierspekulation / Management-Informationssystem / Mobile Computing / Wirtschaftsinformatik / Event Study / Deutschland Finanzinformationssystem (DE-588)7598952-9 gnd Daten (DE-588)4135391-2 gnd Kapitalmarkt (DE-588)4029578-3 gnd Mobile Telekommunikation (DE-588)4341131-9 gnd Push-Technik (DE-588)4516787-4 gnd |
topic_facet | Aktienkurs Daten Dissertation / Thesis - 18 Finanzinformationssystem Kapitalmarkt Mobile Telekommunikation Push-Technik Wertpapierhandel / Wertpapierspekulation / Management-Informationssystem / Mobile Computing / Wirtschaftsinformatik / Event Study / Deutschland Deutschland Hochschulschrift |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016494719&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT muntermannjan eventdrivenmobilefinancialinformationservicesdesignofanintradaydecisionsupportsystem |