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    Country risk premia - an analysis of emerging and developed markets

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    COUNTRY RISK PREMIA - AN ANALYSIS OF EMERGING AND DEVELOPED MARKETS Country risk premia - an analysis of emerging and developed markets (1) List of Figures (4) List of Tables (4) List of Abbreviations (5) Introduction (6) Theoretical Foundations and Literature (8) Foundations in Asset Pricing (9) Country Risk: Concept, Components and Measurement (10) Crisis Dynamics of Country Risk Premia (13) Developed and Emerging Markets (14) Hypothesis Development (16) Methodology (18) Extension of ICAPM - Monthly (19) Extension of ICAPM – Quarterly (20) Inference and Robustness Tests for Panel Regression (20) Research Design (21) Data Construction and Description (22) Results (26) Descriptive Results (26) Diagnostics for the Regression Results (33) Panel Regression Monthly Results (34) Panel Regression Quarterly Results (38) Discussion of the Results (41) Limitations (45) Conclusion (46) Appendix (53

    Balancing profit and purpose

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    BALANCING PROFIT AND PURPOSE Balancing profit and purpose (1

    The power of heritage branding in luxury retail

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    THE POWER OF HERITAGE BRANDING IN LUXURY RETAIL The power of heritage branding in luxury retail (1

    Herausforderungen der globalen Wertschöpfungsketten

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    HERAUSFORDERUNGEN DER GLOBALEN WERTSCHÖPFUNGSKETTEN Herausforderungen der globalen Wertschöpfungsketten (1

    Perceiving and dealing with complexity in strategizing

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    PERCEIVING AND DEALING WITH COMPLEXITY IN STRATEGIZING Perceiving and dealing with complexity in strategizing (1

    Wohnst du noch oder lebst du schon?

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    WOHNST DU NOCH ODER LEBST DU SCHON? Wohnst du noch oder lebst du schon? (1

    Detecting asset price bubbles using deep learning

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    DETECTING ASSET PRICE BUBBLES USING DEEP LEARNING Detecting asset price bubbles using deep learning (1) Introduction (4) Literature Review (6) Bubbles and Martingale Theory (6) Traditional Detection Methods and Limitations (7) Deep Learning as a Model-Free Solution (7) Theoretical Foundations (9) The Martingale Theory of Bubbles (9) Option Prices as Indication for Bubbles (10) Constant Elasticity of Variance (CEV) Model (11) The Stochastic Alpha Beta Rho (SABR) Model (12) Role of Deep Learning (12) Analytical Option Pricing for CEV and SABR Models (13) Numerical Experiment (14) Neural Network Architecture and Training (14) Data Generation Process (14) CEV Model (15) SABR Model (16) Results and Analysis (16) Performance: CEV model (16) Performance: SABR model (17) Generalization Test with a Mixed Dataset (18) Cross-Model Generalization Test (19) Empirical Analysis: Tesla Bubble Detection (20) Data and Methodology (20) Results and Conclusions (21) Conclusion (23

    Who determines working time?

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    WHO DETERMINES WORKING TIME? Who determines working time? (1

    The impact of U.S. presidential elections on stock market returns in the technology and consumer discretionary sectors

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    THE IMPACT OF U.S. PRESIDENTIAL ELECTIONS ON STOCK MARKET RETURNS IN THE TECHNOLOGY AND CONSUMER DISCRETIONARY SECTORS The impact of U.S. presidential elections on stock market returns in the technology and consumer discretionary sectors (1) List of Tables (v) List of Figures (x) List of Equations (xi) List of Abbreviations (xii) Abstract (xiii) Introduction (1) Literature Review (3) Theoretical Framework (3) Impact of Political Uncertainty on Stock Markets (4) Behavioral-Finance Perspective (5) Impact of Presidential Elections and Debates (6) Sector-Specific Effects on the Stock Market (7) Responses from the Technology Sector (8) Responses from the Consumer Discretionary Sector (9) Research Gaps (10) Methodology (11) Event Study Approach (11) Research Design (11) Event Identification (12) Event Window (13) Estimation Window (14) Expected Return Model (15) Quantitative Analysis (16) Metrics and Formulas (16) Testing Statistical Significance (19) Robustness Test (24) Fama-French Three Factor Model (24) Data (26) Data Sources (26) Data Categorization (26) Technology Sector (27) Consumer Discretionary Sector (29) Benchmark (30) Data Frequency (32) Data Coverage (33) Descriptive Analysis (33) Results (36) Analysis of the Technology Sector (36) Impact of the U.S. Presidential Election Days (36) Presidential Election in 2008 (36) Presidential Election in 2012 (38) Presidential Election in 2016 (39) Presidential Election in 2020 (40) Presidential Election in 2024 (41) Analysis of the Consumer Discretionary Sector (43) Impact of the U.S. Presidential Election Days (43) Presidential Election in 2000 (43) Presidential Election in 2004 (44) Presidential Election in 2008 (46) Presidential Election in 2012 (47) Presidential Election in 2016 (48) Presidential Election in 2020 (49) Presidential Election in 2024 (51) AAR and CAAR Analysis (52) Presidential Elections: AAR and CAAR Analysis (52) Technology Sector (53) Consumer Discretionary Sector (54) Sector Comparison (55) Presidential Debates: AAR and CAAR Analysis (56) Technology Sector (56) Consumer Discretionary Sector (57) Sector Comparison (59) Party Outcome: AAR and CAAR Analysis (60) Technology Sector (60) Consumer Discretionary Sector (62) Sector Comparison (65) Robustness Test: Fama-French Three-Factor Model (65) Presidential Elections: Robustness Test (66) Technology Sector (66) Consumer Discretionary Sector (68) Party Outcome: Robustness Test (69) Technology Sector (69) Consumer Discretionary Sector (71) Discussion (75) Technology Sector (75) Consumer Discretionary Sector (76) Limitations (78) Conclusion and Outlook (80) References (82) Appendix (87) Impact of the U.S. Presidential Debate Days on the Technology Sector (87) Presidential Debate in 2008 (87) Presidential Debate in 2012 (88) Presidential Debate in 2016 (90) Presidential Debate in 2020 (91) Presidential Debate in 2024 (92) Impact of the U.S. Presidential Debate Days on the Consumer Discretionary Sector (93) Presidential Debate in 2000 (94) Presidential Debate in 2004 (95) Presidential Debate in 2008 (96) Presidential Debate in 2012 (97) Presidential Debate in 2016 (98) Presidential Debate in 2020 (99) Presidential Debate in 2024 (100) Presidential Debates: Robustness Test (101) Technology Sector (101) Consumer Discretionary Sector (102

    Breaking Barriers

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    BREAKING BARRIERS Breaking Barriers (1) Tabellenverzeichnis (9) Abbildungsverzeichnis (9) 1 Einleitung (10) 1.1 Problemhintergrund (10) 1.2 Zielsetzung (12) 1.3 Überblick und Aufbau der Arbeit (13) 2 Begriffsbestimmung (15) 2.1 First-in-Family Studierende (15) 2.2 Studieneingangsphase (17) 2.3 Soziale Ungleichheit und Bildungsreproduktion (18) 3 Theoretischer Rahmen und Kontextualisierung (20) 3.1 Gesellschaftstheorie nach Bourdieu (20) 3.1.1 Kapital- und Habitus-Theorie (21) Ökonomisches Kapital (21) Kulturelles Kapital (22) Soziales Kapital (23) 3.1.2 Sozialer Raum und Klassen-Theorie (24) 3.1.3 Bildungsreproduktion nach Bourdieu (28) 3.2 Kritische Betrachtung von Bourdieus Theorien und deren Interpretation (30) 3.3 Community Cultural Wealth Framework nach Yosso (33) 3.4 Synthese der Forschungsarbeiten von Bourdieu und Yosso (36) 4 Forschungsstand und Kontextualisierung (41) 4.1 Literaturübersicht zur Bildungsreproduktion (41) 4.1.1 Mechanismen der Bildungsreproduktion (41) 4.1.2 Forschungsergebnisse zur Bildungsreproduktion in Österreich und an der WU Wien (48) 4.2 Herausforderungen von First-in-Family Studierenden (54) 4.2.1 Studie „Gelingendes Studieren in der Studieneingangsphase“ (54) Studierfähigkeit und Studierbarkeit im Kontext von Heterogenität (55) 4.2.2 Herausforderungen laut Studie „Gelingendes Studieren in der Studieneingangsphase“ (57) 4.2.3 Inhaltliche Herausforderungen – Literaturübersicht (58) 4.2.4 Persönliche Herausforderungen – Literaturübersicht (61) 4.2.5 Soziale Herausforderungen – Literaturübersicht (64) 4.2.6 Organisatorische Herausforderungen – Literaturübersicht (67) 4.3 Stärken von First-in-Family Studierenden (69) 4.3.1 Resistant und aspirational capital – Literaturübersicht (70) 4.3.2 Social und familial capital – Literaturübersicht (73) 4.3.3 Navigational und linguistic capital – Literaturübersicht (75) 5 Empirische Konzeption (78) 5.1 Das Erkenntnisinteresse und die Forschungsfrage (78) 5.2 Methodischer Zugang und Datenerhebung (78) 5.3 Datenanalyse (81) 5.4 Interviewpartner:innen (84) 6 Ergebnisse (86) 6.1 Forschungsfrage 1: Herausforderungen von First-in-Family Studierenden an der WU Wien (87) 6.1.1 Inhaltliche Herausforderungen – empirische Analyse (87) 6.1.2 Persönliche Herausforderungen – empirische Analyse (91) 6.1.3 Soziale Herausforderungen – empirische Analyse (96) 6.1.4 Organisatorische Herausforderungen – empirische Analyse (104) 6.2 Forschungsfrage 2: Stärken von First-in-Family Studierenden an der WU Wien (108) 6.2.1 Resistant und aspirational capital – empirische Analyse (108) 6.2.2 Social und familial capital – empirische Analyse (115) 6.2.3 Navigational und linguistic capital – empirische Analyse (120) 7 Conclusio (123) 7.1 Zusammenfassung (123) 7.2 Diskussion (128) 7.3 Handlungsempfehlungen (135) 7.4 Limitationen und Ausblick (138) Literaturverzeichnis (139

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