26617 research outputs found
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Sprache(n) und Kommunikation in Bewerbungsprozessen
No full textSPRACHE(N) UND KOMMUNIKATION IN BEWERBUNGSPROZESSEN
Sprache(n) und Kommunikation in Bewerbungsprozessen (1
What drives EU ETS carbon prices?
No full textWHAT DRIVES EU ETS CARBON PRICES?
What drives EU ETS carbon prices? (1
Risk assessment and mitigation strategies for logistics infrastructure exposed to flooding and other natural hazards in Austria
No full textRISK ASSESSMENT AND MITIGATION STRATEGIES FOR LOGISTICS INFRASTRUCTURE EXPOSED TO FLOODING AND OTHER NATURAL HAZARDS IN AUSTRIA
Risk assessment and mitigation strategies for logistics infrastructure exposed to flooding and other natural hazards in Austria (1
What are the short-term effects of presidential elections in the United States and federal elections in Germany on the stock returns of the financial sector in both countries?
No full textWHAT ARE THE SHORT-TERM EFFECTS OF PRESIDENTIAL ELECTIONS IN THE UNITED STATES AND FEDERAL ELECTIONS IN GERMANY ON THE STOCK RETURNS OF THE FINANCIAL SECTOR IN BOTH COUNTRIES?
What are the short-term effects of presidential elections in the United States and federal elections in Germany on the stock returns of the financial sector in both countries? (1)
List of figures (4)
Equation index (5)
List of abbreviations (6)
Abstract (8)
1. Introduction (9)
2. Theoretical and Empirical Background (12)
2.1 Efficient Market Hypothesis and Political Uncertainty (13)
2.2 Event Study Method: Design and Classification (15)
2.3 Evidence from Prior Research (17)
2.3.1 US Evidence on Political Event Reactions (17)
2.3.2 German Evidence on Political Event Reactions (22)
3. Institutional and Capital-Market Context: US vs Germany (24)
3.1 Political and Institutional Frameworks (24)
3.1.1 United States: Political System and Electoral Framework (25)
3.1.2 Germany: Political System and Electoral Framework (26)
3.2 Financial Sector Structure and Regulation (30)
3.2.1 United States: Financial Sector Structure and Regulation (31)
3.2.2 Germany: Financial Sector Structure and Regulation (33)
4. Methodology (37)
4.1 Variables and Measurement (38)
4.1.1 Event Definition: Political Elections (38)
4.1.2 Event Windows and Estimation Period (42)
4.1.3 Data: Indices and Benchmarks (43)
4.1.4 Abnormal Return: Definition (47)
4.1.5 Cumulative Abnormal Returns CAR (48)
4.1.6 Cumulative average abnormal return CAAR (49)
4.1.7 Significance Testing for CAR and CAAR (50)
4.2 Models for estimating expected returns (52)
4.2.1 Comparison Period Mean Adjusted Model (CPMAM) (53)
4.2.2 Market-Adjusted Model (MaM) (54)
4.2.3. Market Modell (MM) (55)
4.2.4. Fama-French 3 Factor Model (FF3FM) (56)
4.3 Hypotheses (57)
5. Results (60)
5.1 Event-Study Results: US Presidential Elections (60)
5.1.1 US Presidential Election on November 7, 2000 (61)
5.1.2 US Presidential Election on November 2, 2004 (64)
5.1.3 US Presidential Election on November 4, 2008 (67)
5.1.4 US Presidential Election on November 6, 2012 (71)
5.1.5 US Presidential Election on November 8, 2016 (72)
5.1.6 US Presidential Election on November 3, 2020 (75)
5.1.7 US Presidential Election on November 5, 2024 (78)
5.2 Event-Study Results: German Federal Elections (80)
5.2.1 Federal Election on September 22, 2002 (80)
5.2.2 Federal Election on September 18, 2005 (83)
5.2.3 Federal Election on September 27, 2009 (85)
5.2.4 Federal Election on September 22, 2013 (87)
5.2.5 Federal Election on September 24, 2017 (88)
5.2.6 Federal Election on September 26, 2021 (90)
5.2.7 Federal Election on February 23, 2025 (92)
5.3 Robustness Analyses (94)
5.4 Cross-Country Comparison of CAAR (98)
5.4.1 US Elections (98)
5.4.2 GER Elections (100)
6 Discussion of Findings (103)
7 Conclusion and Implications (114)
7.1 Limitations (114)
7.2 Future Research (116)
Bibliography (117)
Appendix (130)
A.1. Model parameters and comparative figures (US election 2000) (130)
A.2. Model parameters and comparative (2004 US election) (130)
A.3. Model parameters and comparative (2008 US election) (131)
A.4. Model parameters and comparative figures (2012 US election) (131)
A.5. Model parameters and comparative figures (2016 US election) (132)
A.6. Model parameters and comparative figures (US election 2020) (132)
A.7. Model parameters and comparative figures (2024 US election) (133)
A.8. Model parameters and comparative (GER election 2002) (133)
A.9. Model parameters and comparative figures (GER election 2005) (134)
A.10. Model parameters and comparative figures (GER election 2009) (134)
A.11 Model parameters and comparative figures (GER election 2013) (135)
A.12. Model parameters and comparative (GER election 2017) (135)
A.13. Model parameters and comparative figures (GER election 2021) (136)
A.14. Model parameters and comparative figures (GER election 2025) (136)
A.14. Model parameters and comparative figures (GER election 2025) (137)
B.1. CARs over time (2000 US election) (137)
B.2 CARs over time (2004 US election) (138)
B.3 CARs over time (US election 2008) (139)
B.4 CARs over time (2012 US election) (140)
B.5 CARs over time (US election 2016) (141)
B.6 CARs over time (US election 2020) (142)
B.7 CARs over time (US election 2024) (143)
B.8 CARs over time (GER election 2002) (144)
B.9 CARs over time (GER election 2005) (145)
B.10 CARs over time (GER election 2009) (146)
B.11 CARs over time (GER election 2013) (147)
B.12 CARs over time (GER election 2017) (148)
B.13 CARs over time (GER election 2021) (149)
C.1 CAARs (Fama & French 3-factor model) – US elections (151)
C.2 CAARs (Fama & French 3-factor model) – German federal elections (152)
C.3 CAARs (Market-adjusted model) – US elections federal elections (152)
C.4 CAARs (Market-adjusted model) – German federal elections (153)
C.5 CAARs (CPMAM) – US elections (153)
C.6 CAARs (CPMAM) – German federal elections (154
Building trust in the P2P second-hand marketplaces
No full textBUILDING TRUST IN THE P2P SECOND-HAND MARKETPLACES
Building trust in the P2P second-hand marketplaces (1)
Abstract (2)
List of Abbreviations (5)
1 Introduction (6)
1.1 Objective and Research Question (6)
1.2 Research Structure and Design (7)
2 Literature Review (7)
2.1 Multi-sided platforms (7)
2.1.1 Trust in Multi-Sided Platforms (9)
2.2 Online Trust and its dimensions (10)
2.3 Perceived risk (11)
2.4 Second hand marketplaces (12)
2.5 Trust in P2P platforms (13)
2.6 Mechanisms of increasing trust and reducing risk in P2P platforms (14)
2.6.1.1 Rating or review systems (15)
2.6.1.2 Platform rules & regulations (16)
2.6.1.3 Verification features (16)
2.6.1.4 Insurance and Guarantees (16)
2.6.1.5 Profile pictures & descriptions (16)
2.7 Trust, Perceived Risk, and Purchase Intention (17)
2.7.1 Empirical Findings in E-Commerce and P2P Contexts (17)
2.8 Research Focus (18)
3 Methodology (21)
3.1 Research Design (21)
3.2 Pre-Study: Content Analysis of existing P2P second-hand marketplaces (21)
3.3 Main Study: Experimental Design (22)
3.4 Justification of Research Design (25)
4 Pre-study (26)
4.1.1 Sample (26)
4.1.2 Procedure (26)
4.1.3 Results (27)
5 Main Study: Experimental survey (28)
5.1 Data collection (28)
5.2 Analysis (28)
5.3 Sample (29)
5.4 Procedure (30)
5.5 Results (30)
6 Discussion (44)
7 Limitations (46)
8 Conclusion (47)
9 Post Hoc analyses (48)
9.1 Introduction (48)
9.2 Methodology, analyses, and results (49)
9.3 Conclusion (51)
10 Appendix (52)
11 References (57
Evaluation of production and internal logistics operations based on sustainability KPIs
No full textEVALUATION OF PRODUCTION AND INTERNAL LOGISTICS OPERATIONS BASED ON SUSTAINABILITY KPIS
Evaluation of production and internal logistics operations based on sustainability KPIs (1
Der Einfluss von Populismus auf ausländische Direktinvestitionen
No full textDER EINFLUSS VON POPULISMUS AUF AUSLÄNDISCHE DIREKTINVESTITIONEN
Der Einfluss von Populismus auf ausländische Direktinvestitionen (2
Timing corporate bond factors
No full textTIMING CORPORATE BOND FACTORS
Timing corporate bond factors (1)
Abstract (iv)
Acknowledgements (1)
Introduction (5)
Data (7)
TRACE (7)
Cleaning Corporate Bond Prices (7)
Further Data Sources (7)
The Cross-Section of Corporate Bond Returns (9)
Literature Review (9)
Methodology (10)
Factors (10)
Familiarity Among Factors (10)
Performance (11)
Alphas (12)
Time-Varying Alphas (15)
Simple Timing (17)
Methodology (17)
Macro Signals (18)
PLS Signals (19)
Correlation (20)
Timing Weights (21)
Alphas (22)
Sharpe Ratios (24)
Conclusion (28)
Multi Timing (29)
Methodology (29)
Performance (30)
Comparison to Benchmark (32)
Regression on DEF and TERM (33)
Conclusion (34)
Long-Only (35)
Methodology (35)
Characteristics (35)
Performance (37)
Performance in Different Regimes (39)
Regression against the Market portfolio (40)
Regression against the ICE BofA US Corporate Index (41)
Transaction Costs (41)
Conclusion (45)
Conclusion (47)
Supplementary Information (49)
Bibliography (55
Einfluss von CSR auf die Krisenresilienz globaler Lieferketten
No full textEINFLUSS VON CSR AUF DIE KRISENRESILIENZ GLOBALER LIEFERKETTEN
Einfluss von CSR auf die Krisenresilienz globaler Lieferketten (1
An analysis of the role of sustainability disclosure for bonds
No full textAN ANALYSIS OF THE ROLE OF SUSTAINABILITY DISCLOSURE FOR BONDS
An analysis of the role of sustainability disclosure for bonds (1)
List of Tables (4)
List of Figures (5)
List of Abbreviations (6)
1 Introduction (7)
2 Theoretical Background (9)
2.1 The Role of CSR Disclosure in Capital Markets (9)
2.2 The Non-Financial Reporting Directive (NFRD) (13)
2.3 Evidence on CSR Disclosure and the Cost of Capital (14)
2.4 Hypothesis Statement (17)
3 Research Design (19)
3.1 Conceptual Underpinning (19)
3.2 Data Sample (19)
3.2.1 Sample Selection and Matching Process (19)
3.2.2 Descriptive Statistics (22)
3.3 Empirical Model (26)
4 Empirical Results (28)
4.1 Development of Bond Yield Spreads (28)
4.2 CSR Disclosure and Bond Yield Spreads (29)
4.2.1 Main Findings (29)
4.2.2 Heterogeneity Analysis – Country and Sector Level (36)
4.2.3 Quality of CSR Disclosure (41)
4.3 Implications of High-Quality CSR Performance (46)
5 Limitations and Conclusion (53)
5.1 Validity Considerations and Study Limitations (53)
5.2 Conclusion and Outlook (55)
Bibliography (57