Corporate social performance and analyst recommendations – Complete Phd and Masters Thesis

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Introduction

Corporate social performance (CSP) refers to the extent to which a company meets its social responsibilities in terms of its impact on society, the environment, and other stakeholders. Analyst recommendations, on the other hand, are evaluations made by financial analysts regarding the potential future performance of a company’s stock. The relationship between CSP and analyst recommendations has become an increasingly important topic of research in recent years, as companies are facing growing pressure to not only deliver strong financial performance but also to demonstrate their commitment to social and environmental responsibility.

This thesis aims to provide a comprehensive analysis of the relationship between CSP and analyst recommendations. By examining how analysts incorporate information about a company’s social performance into their recommendations, we can gain a better understanding of how CSP affects financial performance and investor perceptions.

Table of Contents

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Corporate Social Performance
2.2 Theoretical Frameworks for CSP and Analyst Recommendations
2.3 Empirical Studies on the Relationship between CSP and Financial Performance
2.4 Analyst Recommendations and their Influence on Stock Prices
2.5 Factors Influencing Analyst Recommendations
2.6 The Impact of CSP on Analyst Recommendations
2.7 Challenges in Assessing CSP
2.8 The Role of Institutional Investors in Driving CSP
2.9 Current Trends in CSP Reporting
2.10 Summary and Gaps in the Literature

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sample Selection
3.4 Data Analysis Techniques
3.5 Variable Measurement
3.6 Model Specification
3.7 Hypotheses Development
3.8 Limitations of the Study
3.9 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Descriptive Statistics
4.2 Correlation Analysis
4.3 Regression Analysis Results
4.4 Robustness Checks
4.5 Discussion of Results
4.6 Managerial Implications
4.7 Theoretical Contributions
4.8 Practical Recommendations
4.9 Areas for Future Research

Chapter 5: Conclusion
5.1 Summary of Findings
5.2 Contribution to Literature
5.3 Practical Implications
5.4 Limitations and Future Research Directions
5.5 Conclusion

Thesis Overview

Corporate social performance (CSP) refers to the extent to which a company meets its social responsibilities, including its impact on society, the environment, and other stakeholders. In recent years, there has been a growing interest in the relationship between CSP and financial performance, as companies are increasingly realizing the importance of demonstrating their commitment to social and environmental responsibility. Financial analysts play a crucial role in evaluating companies and providing recommendations to investors regarding their stock performance. This thesis aims to explore the relationship between CSP and analyst recommendations and how analysts incorporate information about a company’s social performance into their evaluations. By examining this relationship, we can gain a better understanding of how CSP influences financial performance and investor perceptions. The thesis will also discuss the current trends in CSP reporting, challenges in assessing CSP, and the role of institutional investors in driving CSP. The research methodology will involve data collection, sample selection, data analysis techniques, and hypotheses development. The discussion of findings will include descriptive statistics, correlation analysis, regression analysis results, and robustness checks. The conclusion will summarize the findings, highlight the contributions to the literature, discuss practical implications, and suggest areas for future research. Through this thesis, we hope to provide valuable insights into the relationship between CSP and analyst recommendations and contribute to the existing body of knowledge on this important topic.

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