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Three papers in empirical finance and accounting / by Steffen Möllenhoff, M. Sc. Wuppertal, [2020]
Inhalt
Nonlinear Relationships in Bankruptcy Prediction and Their Effect on the Total Cost of Misclassification: Empirical Evidence on Listed U.S. Companies
Introduction
Methodology
Generalized Linear Models and Generalized Additive Models
The Total Cost of Misclassification as a Validity Measure
Empirical Data
Sample Refinement
Dependent und Independent Variables
Descriptive Statistics and Correlations
Results
Estimated Bankruptcy Prediction Models
Nonlinear Relationships
Validity and the Total Cost of Misclassification
Conclusion
Dark Premonitions: Pre-Bankruptcy Investor Attention and Behavior
Introduction
Literature Review
Data
Data Sources
SEC EDGAR Log-File Dataset
Company Data
Form 13F Holdings
Sample Construction
Refine and Validate the Final Samples
Propensity Score Matching
Matching Validation
Placebo Samples
Empirical Results
Requests on Disclosed Company Information – Sample Level
Explaining Differences in Requests for Disclosed Company Information
Plausibility Check and Alternative Explanations
Requests for Disclosed Company Information on the Investor–Company Level
Conclusion
Appendix EDGAR Log-Files Dataset
Appendix Sample Construction
Appendix Bankruptcy Prediction Models
Appendix Variable Definitions
Watch the votes: How unwanted directors hurt firm performance
Introduction
Literature Review
Data
Data Sources and Sample Selection
Key Variables
Summary Statistics
Results
Determinants of For Votes
Determinants of Unwantedness
Firm Performance
Dummy Regressions
Stayed vs. New Unwanted Directors
Robustness
Sudden Deaths
Trading Strategy
Conclusion
Appendix Tables
Appendix Variable Definitions
References