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Bank Name: FCMB Bank
Account Name: SEDTECH HUBLET INTL

Account Type: Savings
Account number: 7749601025

Bank Name: Access Bank
Account Name: SEDTECH HUBLET INTL

Account Type: Current
Account number: 0107807602


AN ANALYSIS OF CASH DEPOSITS PATTERN IN COMMERCIAL BANKS


ABSTRACT

The success or failure and effectiveness or ineffectiveness of any banking or financial sector depends on extent of customer’s patronage and the financial resources available to form and procure the required service oriented facilities. In Nigeria, there are lots of problems associated with banking. The problems include in adequate financial capacity, that is weak capital base, lack of sound technical planning, bad implementation of formulated policies linking the banking operations, inadequate supervision and monitoring of economic changes and large scale financial embezzlement. Due to these problems, many financial firms are distressed and subsequently are closed up. The study therefore examined the cash deposits pattern of commercial banks for the past 10 years with fidelity bank Plc, Owerri as a case study. Data used for this technical research were obtained from secondary source these data were out-puts of cash deposits of customers patronizing fidelity bank plc Owerri from 1998-2007. The data was systematically analyzed using time series models. The study found that there is an annual decrease in the rate of cash deposit patterns in fidelity bank plc Owerri as a study unit of commercial banks. Finally, the study suggested some solutions and also made some fine and worthy recommendations.

CHAPTER ONE

1.0 INTRODUCTION

The need to monitor, evaluate and make adequate plans for the future compels managers, scientist of various calling and researchers alike to collect data on regular basis on processes that vary as time passes. Observations on such processes when arranged in chronological order (in time sequence) are called time series. A time series is a group of data that has been collected successively over a period of time. Some examples of time series are: the daily cash-deposits of customers, the weekly recorded cash-deposits of the bank, and the weekly or monthly stock levels of a company, the number of patients treated by a particular hospital per annum.

The method of analyzing and interpreting these data is referred to as time series analysis. Time series analysis is very important in business and economic for forecasting purposes.

As we tend to base our forecast of cash-deposit results on what has happened in the past. The statistical series which tells us how data has been behaving in the past is the time series. It gives us the values of variable we are considering at various points in time each year for the last ten years. Time series may be classified as follows:

SECULAR TREND: This is refers to the general direction in which the figures appears to the going over a long interval of time. It is important to distinguish between trends resulting from cyclical influence on the economy. Example, a change in task of customers buying habits. The observation of a secular trend might show an upward trend or downward trend or a steady trend.

SEASONAL VARIATIONS: It is a common knowledge and a clear view to all that the value of many variables depends partly on the time of the year in question, every one knows that the rate of cash-deposits of customers is usually high in the month of March to November, during which customers stock their cash in banks, that is in order of months.

CYCLICAL VARIATION: As the economy expands during the period of boom, we would expect to find that such data like cash-deposits, cash withdrawals or customers expenditure and sells rate will show a rising trend, and during the period of slump, we would expect them to show downward trend. Thus a wave-like motion may be observed in the pattern of our data.

IRREGULAR VARIATION: These are random external events which affects our variables. May are also referred to as random variations because they result from sporadic events such as strikes, earth-quakes, floods, fire disaster, riots and this events are unpredictable.

It is very clear that time series analysis will help in finding the trend to guide this industry or sector in forecasting and other management decisions that pertain to competition. In order to create a conducive condition or climate favourable for business, sponsoring the national football league and all national volley ball league or basket ball league is just a few. Their management slogan is “We keep our word”.

1.1 STATEMENT OF THE PROBLEM

Cash-deposits and withdrawals are the main determinant of banks financial status. In a highly competitive industry like the banking sector, this issue posses some serious challenges and responsibilities to baking sector which also the fidelity bank plc Owerri is a victim.

What is their recorded cash-deposit level and level of financial base? Do these records not measure up to the standard that merited them their position in the financial or banking sector? Analysis made on the cash-deposits transactions are only information services, and as such must be conditioned by the process to which they are applied unless that may only lead to false sense in the industries. It is in the light of these questions that I wish to carry out this research.

1.2 PURPOSE OF THE STUDY

The purpose of the study is due to the growing need to monitor the performance of an economy. Time series analysis is used to determine, the trend of deposit which might be use to forecast or predict future results.

Managers and governments need an understanding of the past and current pattern of change in the cash-deposit rates and provide clues about future patterns to aid in forecasting.

This study is initiated out of the desire to provide to those who may need it, as a basis for forecasting and decision making, which are tools for economy growth and standardization.

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Author: SPROJECT NG