ANALYSIS OF THE USE OF MACHINE LEARNING TO IMPROVE FINANCIAL FORECASTING IN NIGERIAN BANKS (A CASE STUDY OF INSTITUTE OF CHARTERED ACCOUNTANTS OF NIGERIA, UYO)

TABLE OF CONTENTS

 

TITLE PAGE

 

ABSTRACT

 

CHAPTER ONE: INTRODUCTION

1.1 Background to the Study

1.2 Statement of the Problem

1.3 Objectives of the Study

1.4 Research Questions

1.5 Research Hypothesis

1.6 Significance of the Study

1.7 Scope of the Study

1.8 Limitations of the Study

1.9 Organization of the Study

1.10 Definition of Terms

REFERENCES

 

CHAPTER TWO: REVIEW OF RELATED LITERATURE

2.1 Introduction

2.2 Theoretical Review

2.2.1 Efficient Market Hypothesis (EMH)

2.2.2 Artificial Intelligence and Data Mining Theory

2.2.3 Technology Acceptance Model (TAM)

2.2.4 Resource-Based View (RBV) Theory

2.3 Conceptual Review

2.3.1 Overview of Key Concepts

2.3.2 The Nigerian Banking Landscape

2.3.3 Adoption of Machine Learning Algorithms

2.3.4 Data Preprocessing and Quality Control

2.3.5 Risk Management and Fraud Detection

2.3.6 Enhancing Customer Experience

2.3.7 Challenges of Implementation

2.3.8 Regulatory Compliance

2.3.9 Role of Cloud Computing and Infrastructure

2.3.10 Case Studies and Success Stories

2.4 Empirical Review

2.5 Summary of Literature Review

REFERENCES

 

CHAPTER THREE: RESEARCH METHODOLOGY

3.1 Introduction

3.2 Research Design

3.3 Area of the Study

3.4 Population of the Study

3.5 Sample Size and Sampling Technique

3.6 Sources of Data Collection

3.7 Research Instrument

3.8 Validity of the Instrument

3.9 Reliability of the Instrument

3.10 Method of Data Collection

3.11 Method of Data Analysis

3.12 Ethical Considerations

3.13 Limitations of the Methodology

 

CHAPTER FOUR: DATA ANALYSIS AND INTERPRETATION

4.1 Introduction

4.2 Demographic Characteristics of Respondents

4.3 Analysis Based on Research Questions

4.4 Test of Hypothesis

4.5 Discussion of Findings

4.6 Summary of Findings

 

CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS

5.1 Introduction

5.2 Summary of the Study

5.3 Conclusion

5.4 Recommendations

5.4.1 Recommendations for Policy Makers and Regulatory Bodies

5.4.2 Recommendations for Nigerian Banks

5.4.3 Recommendations for Professional Bodies and Educational Institutions

5.5 Contributions to Knowledge

5.6 Suggestions for Further Research

 

APPENDIX: QUESTIONNAIRE