A Time Series Analysis of Monthly Generated Revenue. A Case Study of Chikomba RDC · Electronic Theses and Dissertations

Author: Chiremba, Nothando. R
Title: A Time Series Analysis of Monthly Generated Revenue. A Case Study of Chikomba RDC
Abstract: A time series is a collection of data points that are typically measured at regular intervals of time.
Examples can be found in a wide range of disciplines, from economics to engineering, and time
series analysis techniques are a significant component of statistics. Time series analysis refers to
techniques for deriving significant properties from time series data and predicting future values. A
class of linear models called Autoregressive Integrated Moving Average (ARIMA) models, also
known as Seasonal Autoregressive Moving Average (SARIMA) methods, can describe both
stationary and nonstationary time data.
In ARIMA models, autocorrelation patterns play a significant role. In order to ascertain whether
there is an ideal frame, this study will examine the application of the ARIMA and SARIMA
approach to income earned, specifically sampling at various time intervals. The primary focus of
the study was on the analysis of Chikomba Rural District Council's revenue generation using time
series from the period of January 2013 through December 2021 with the intention of creating the
best fit time series model to forecast revenue collection for the following three years. It aimed to
highlight the difficulties Chikomba Rural District Council had making money.
The Chikomba Rural District Council's Finance Department provided secondary data to the
researcher. The information given was for the overall revenue made each month during the given
time period.
E-views 12 SV (64) and Excel were used by the researcher to analyze the data as part of the
descriptive research design. The time series model with the best fit for predicting the monthly
income earned over the next three years was ARIMA (4, 1, 4). The observed outcomes
demonstrated that revenue fluctuated between increases and decreases at a steady rate.
Additionally, researchers should think about conducting a qualitative research design employing
crucial data from interviews with staff members and stakeholders to find the causes of the observed
pattern
Date: 2022
Publisher: BUSE
Keywords: Time Series Analysis; Monthly Generated Revenue
Supervisor: Mr. Basira

Item sets: Department of Statistics and Mathematics

Media: Statistics & Maths Nothando_R_Chiremba.pdf