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Introduction

Robo-advisors have emerged as a popular alternative to traditional human financial advisors in recent years. These automated investment platforms use algorithms to provide financial advice and manage portfolios for investors. The rise of robo-advisors has sparked a debate about their performance compared to that of human advisors. This thesis aims to compare the performance of robo-advisors and human advisors in managing investment portfolios, taking into account factors such as returns, risk management, and client satisfaction.

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 Two: Literature Review
2.1 Overview of robo-advisors and human advisors
2.2 Performance metrics for evaluating investment advisors
2.3 Studies comparing robo-advisors and human advisors
2.4 Factors influencing investor preferences for robo-advisors or human advisors
2.5 Regulation and oversight of robo-advisors
2.6 Impact of technology advancements on the financial advisory industry
2.7 Cost considerations of robo-advisors vs. human advisors
2.8 Client satisfaction and trust in robo-advisors vs. human advisors
2.9 Case studies of successful robo-advisors and human advisors
2.10 Future trends in the financial advisory industry

Chapter Three: Research Methodology
3.1 Research design and approach
3.2 Data collection methods
3.3 Sample selection
3.4 Data analysis techniques
3.5 Variables and measurements
3.6 Ethical considerations
3.7 Validity and reliability of the study
3.8 Limitations of the research methodology

Chapter Four: Discussion of Findings
4.1 Comparison of performance metrics between robo-advisors and human advisors
4.2 Factors influencing investor preferences for robo-advisors or human advisors
4.3 Client satisfaction and trust in robo-advisors vs. human advisors
4.4 Regulatory implications for robo-advisors and human advisors
4.5 Cost-benefit analysis of using robo-advisors vs. human advisors
4.6 Case studies of successful robo-advisors and human advisors
4.7 Implications for the financial advisory industry
4.8 Recommendations for investors and financial firms
4.9 Areas for future research

Chapter Five: Conclusion and Summary
5.1 Summary of key findings
5.2 Conclusion on the performance comparison of robo-advisors and human advisors
5.3 Implications for investors and financial firms
5.4 Contributions to the existing literature
5.5 Recommendations for future research

Thesis Overview: Robo-advisors vs. Human Advisors: Performance Comparison

In recent years, the financial advisory industry has witnessed the emergence of robo-advisors as a disruptive force challenging the dominance of traditional human advisors. This thesis aims to compare the performance of robo-advisors and human advisors in managing investment portfolios, with a focus on factors such as returns, risk management, and client satisfaction.

The literature review will provide an overview of robo-advisors and human advisors, discuss performance metrics for evaluating investment advisors, review studies comparing robo-advisors and human advisors, and explore factors influencing investor preferences for either type of advisor. The research methodology will outline the design and approach of the study, data collection methods, sample selection, and data analysis techniques.

The discussion of findings will present a comparative analysis of performance metrics, factors influencing investor preferences, client satisfaction, regulatory implications, cost considerations, and case studies of successful advisors. The conclusion will summarize key findings, draw conclusions on the performance comparison, discuss implications for investors and financial firms, highlight contributions to the existing literature, and propose recommendations for future research.

Overall, this thesis aims to provide valuable insights into the performance of robo-advisors and human advisors, assisting investors and financial firms in making informed decisions regarding their choice of investment advisor.

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