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Ratio analysis as a bank lending tool

 

Table Of Contents


Title page

Approval page

Dedication

Acknowledgement

Table of Contents

Abstract

Preface

Proposal

 

Chapter ONE

  • INTRODUCTION OF “RATIO ANALYSIS AS A BANK LENDING TOOL”

 

1.1 Background of the study

  • Statement of problems
  • Objectives of the study
  • Significance of the study
  • Scope and limitations of study
  • Hypothesis of the study
  • Brief history of the Union Bank of Nig. Plc
  • Definition of Terms

 

Chapter TWO

2.0 LITERATURE REVIEW OF “RATIO ANALYSIS AS A BANK LENDING TOOL”

 

  • Concepts of Bank lending

 

  • Objectives of Bank lending
  • Basic principles of lending
  • Constraints/Problems of lending
  • Purposes of Ratio Analysis
  • Profile of Union Bank
  • Objectives/Functions of Union Bank
  • Achievements/Challenges

 

Chapter THREE

3.0 RESEARCH DESIGN AND METHODOLOGY OF “RATIO ANALYSIS AS A BANK LENDING TOOL”

 

  • Introduction

 

  • Sources of data
  • Research population
  • Primary and Secondary Data
  • Sampling Method used
  • Sample Plan and Sample Size
  • Questionnaire Design
  • Description of Respondents
  • Method of Data Analysis

 

Chapter FOUR

  • DATA PRESENTATION AND ANALYSIS ON FINDINGS OF “RATIO ANALYSIS AS A BANK LENDING TOOL”

 

4.1 Data presentation

  • Data analysis
  • Interpretation of results
  • Test of hypothesis

 

Chapter FIVE

  • SUMMARY/RECOMMENDATION AND CONCLUSION OF “RATIO ANALYSIS AS A BANK LENDING TOOL”

 

5.1 Discussion of findings

  • Conclusion
  • Recommendations

Bibliography

Appendix


Thesis Abstract

Abstract
Ratio analysis is a crucial tool used by banks and financial institutions to evaluate the creditworthiness of potential borrowers and to monitor the financial health of existing borrowers. This research project aims to explore the significance of ratio analysis as a bank lending tool and its implications for decision-making in the credit approval process. The study will focus on the various financial ratios commonly used in the banking industry, such as liquidity ratios, profitability ratios, leverage ratios, and efficiency ratios. By analyzing these ratios, banks can assess the risk profile of borrowers, determine their ability to repay loans, and make informed lending decisions. Furthermore, the project will examine the role of ratio analysis in assessing the overall financial performance and stability of borrowers. By comparing the financial ratios of borrowers to industry benchmarks and historical data, banks can identify potential red flags and early warning signs of financial distress. This proactive approach can help banks mitigate risks and prevent loan defaults. In addition, the research will investigate the limitations and challenges associated with ratio analysis as a bank lending tool. Factors such as data accuracy, reliability of financial statements, and industry-specific considerations can impact the effectiveness of ratio analysis in evaluating credit risk. Understanding these limitations is essential for banks to make accurate and reliable lending decisions. Moreover, the project will explore the advancements in technology and data analytics that are reshaping the landscape of ratio analysis in banking. With the advent of artificial intelligence and machine learning, banks can now analyze vast amounts of data in real time and generate more accurate credit risk assessments. These technological innovations have the potential to enhance the efficiency and effectiveness of ratio analysis as a bank lending tool. Overall, this research project will provide valuable insights into the importance of ratio analysis in the banking industry and its role in facilitating sound lending decisions. By leveraging financial ratios effectively, banks can improve their risk management practices, enhance their loan portfolio quality, and ultimately, achieve sustainable growth and profitability.

Thesis Overview

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