MORTGAGE ARRANGEMENT IN DEPRESSED ECONOMY (A CASE STUDY OF MORTGAGE BANK OF NIGERIA )

40 PAGES (5416 WORDS) Banking and Finance Project
ABSTRACT 
This research project is a very crucial study of Mortgage Bank of Nigeria.
The study was motivated by the necessity to identify the economic depression and mortgage management in Nigeria.  This form of banking system has been in existence since the banking industries is concern based on given loan and advances.
To sources research problem secondary data were collected.  The research instruments used in collecting the data were through textbook libraries professional and trade organizations and internet services.
Data analysis and interpretation gave the following findings:
1.Most of the respondents requires interest rate structure. 
2.Most of the respondents companied about rate of payment 
3.Loan disbursement/ approval 
4.It was also discovered loan rescheduling/foreclosure.
Based on the findings we recommend that 
1.Government should provide adequate funding.
2.Government and central bank should create secondary/ intermediary mortgage institution 
3.The central bank should review the interest rate structure.
4.There should be a review of payment terms
The conclusion of the study is that depression in economy is the problem of mortgage banks in Nigeria.  But if the recommendations will be considered and improved the hidden large potential for the development of mortgage bank in Nigeria will be achieved.
 
TABLE OF CONTENT 
Cover page
Title page
Approval page
Dedication 
Acknowledgement
Abstract 
Proposal 
Table of contents 

CHAPTER ONE 
Introduction
Background of the study
Statement of the problems 
Purpose/objective of the study
Significance of the study
Limitation of the study
Definition of terms

CHAPTER TWO   
Review of related literature
Types of mortgage and their rights
Mortgage institution in Nigeria
Conditions precedent to the grant of loans
Types of mortgage arrangement
References 

CHAPTER THREE 
Research design and methodology
Sources of data
Location of data
Method of data collection 

CHAPTER FOUR 
Finding 

CHAPTER FIVE 
Recommendation and conclusion