Masterarbeit, 2025
94 Seiten, Note: 1,3
This master's thesis aims to analyze the definition and quality of pro forma key figures in the annual reports of German listed companies from 2019 to 2023, examining their frequency, quality, and underlying motivations across different industries. A quantitative content analysis of DAX 40 companies' reports is used to assess the quality of pro forma figure definitions based on nomenclature, adjustments made, and transparency of reconciliations.
1 Introduction: This chapter introduces the increasing prevalence of pro forma figures in corporate reporting, particularly among capital market-oriented companies. It highlights the use of these non-GAAP indicators in external communication and company valuation, while acknowledging the existing controversies surrounding their flexibility and potential for manipulation. The chapter emphasizes the need for further empirical research, particularly in Germany, focusing on the systematic analysis of pro forma measures' definition over time and across industries. The thesis aims to fill this research gap by analyzing the definition and quality of pro forma figures in German listed companies' annual reports from 2019 to 2023.
2 Theoretical background and literature review: This chapter provides a comprehensive overview of the theoretical and empirical literature on pro forma reporting. It defines pro forma metrics, distinguishes between broad and narrow definitions, and discusses the informative and opportunistic motives behind their use. It analyzes these motives through the lens of agency, stakeholder, contingency, and institutional theories. The chapter also reviews the regulatory frameworks in the US and Germany, highlighting the evolution of regulations and their impact on pro forma reporting practices. Finally, it identifies a research gap in the systematic analysis of pro forma measures' definition over time and across industries in Germany, setting the stage for the empirical analysis in the following chapters.
3 Empirical analysis of pro forma metrics: This chapter details the methodology and results of an empirical analysis of pro forma reporting in German DAX 40 companies from 2019 to 2023. It describes the sample selection process, data collection methods, and the research design used to answer the research questions. The analysis focuses on the frequency of pro forma reporting, the quality of the definitions, and the quantitative differences between GAAP and pro forma earnings. The chapter uses regression analysis to examine the influence of industry affiliation on adjustment types and reconciliation quality, and explores the potential opportunistic and informative motives behind pro forma reporting.
Pro forma reporting, non-GAAP earnings, earnings management, financial reporting, Germany, DAX 40, regulatory framework, reconciliation, transparency, agency theory, stakeholder theory, contingency theory, institutional theory, empirical analysis, qualitative analysis, quantitative analysis, industry differences, opportunistic motives, informative motives.
This master's thesis aims to analyze the definition and quality of pro forma key figures in the annual reports of German listed companies from 2019 to 2023, examining their frequency, quality, and underlying motivations across different industries. A quantitative content analysis of DAX 40 companies' reports is used to assess the quality of pro forma figure definitions based on nomenclature, adjustments made, and transparency of reconciliations.
1 Introduction: This chapter introduces the increasing prevalence of pro forma figures in corporate reporting, particularly among capital market-oriented companies. It highlights the use of these non-GAAP indicators in external communication and company valuation, while acknowledging the existing controversies surrounding their flexibility and potential for manipulation. The chapter emphasizes the need for further empirical research, particularly in Germany, focusing on the systematic analysis of pro forma measures' definition over time and across industries. The thesis aims to fill this research gap by analyzing the definition and quality of pro forma figures in German listed companies' annual reports from 2019 to 2023.
2 Theoretical background and literature review: This chapter provides a comprehensive overview of the theoretical and empirical literature on pro forma reporting. It defines pro forma metrics, distinguishes between broad and narrow definitions, and discusses the informative and opportunistic motives behind their use. It analyzes these motives through the lens of agency, stakeholder, contingency, and institutional theories. The chapter also reviews the regulatory frameworks in the US and Germany, highlighting the evolution of regulations and their impact on pro forma reporting practices. Finally, it identifies a research gap in the systematic analysis of pro forma measures' definition over time and across industries in Germany, setting the stage for the empirical analysis in the following chapters.
3 Empirical analysis of pro forma metrics: This chapter details the methodology and results of an empirical analysis of pro forma reporting in German DAX 40 companies from 2019 to 2023. It describes the sample selection process, data collection methods, and the research design used to answer the research questions. The analysis focuses on the frequency of pro forma reporting, the quality of the definitions, and the quantitative differences between GAAP and pro forma earnings. The chapter uses regression analysis to examine the influence of industry affiliation on adjustment types and reconciliation quality, and explores the potential opportunistic and informative motives behind pro forma reporting.
Pro forma reporting, non-GAAP earnings, earnings management, financial reporting, Germany, DAX 40, regulatory framework, reconciliation, transparency, agency theory, stakeholder theory, contingency theory, institutional theory, empirical analysis, qualitative analysis, quantitative analysis, industry differences, opportunistic motives, informative motives.
The master's thesis aims to analyze the definition and quality of pro forma key figures in the annual reports of German listed companies from 2019 to 2023. It focuses on examining their frequency, quality, and underlying motivations across different industries.
Pro forma reporting involves using non-GAAP (Generally Accepted Accounting Principles) metrics to present a company's financial performance. These metrics often exclude certain expenses or include adjustments to offer a different view of profitability or earnings.
The analysis uses agency theory, stakeholder theory, contingency theory, and institutional theory to understand the motivations and implications of pro forma reporting.
The thesis reviews the regulatory frameworks for pro forma reporting in both the United States and Germany.
The thesis addresses the research gap in the systematic analysis of pro forma measures' definition over time and across industries in Germany.
The empirical analysis uses a quantitative content analysis of DAX 40 companies' annual reports from 2019 to 2023. Regression analysis is also used to examine the influence of industry affiliation on adjustment types and reconciliation quality.
The qualitative analysis focuses on the nomenclature, adjustments made, and transparency of reconciliations in pro forma figure definitions.
Analyzing the quantitative difference provides insights into the potential managerial reporting motivations behind the use of pro forma metrics.
The keywords include pro forma reporting, non-GAAP earnings, earnings management, financial reporting, Germany, DAX 40, regulatory framework, reconciliation, transparency, agency theory, stakeholder theory, contingency theory, institutional theory, empirical analysis, qualitative analysis, quantitative analysis, industry differences, opportunistic motives, and informative motives.
The objectives are to determine the frequency of non-GAAP reporting across time and industries, evaluate the quality of definitions, and measure the quantitative difference between GAAP and pro forma earnings.
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