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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Mikailalsys Journal of Mathematics and Statistics
Isah, Audu
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Other

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Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes Ononuju, Emmanuel Fidel; Isah, Audu; ThankGod, Joshua
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i2.5356

Abstract

This study applies decomposition technique on the admission of orphans and vulnerable children (OVC) into orphanage homes. Present studies have dwelt more on the number of OVC, the estimation of the parents that are dead, and the socioeconomic well-being of OVC. Hence, there is need to study the pattern of OVC admittance. Monthly data were collected from Niger state orphanage home register and documented for a period of twenty years (2000-2020). A time series decomposition analysis was carried out to determine an appropriate model, investigate the trend of admission of OVC, and establish if there is a seasonal pattern in the series. Results showed that the pseudo-additive model was most appropriate for the series which showed a decreasing linear trend. The study also showed that there is a seasonal pattern that has the second and third quarters of the year with the highest incidence of admission into orphanage home.
The Application of Brownian Motion Model on Nigeria Stock Exchange Data Joshua, ThankGod; Isah, Audu
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5349

Abstract

Fluctuations in stock prices and its random nature make stocks volatile and difficult for financial managers and investors to predict future stock prices. The path of stock can be described in relation to the random collision of tiny particles suspended in the molecules of liquid. In examining the martingale property in stock prices, this article examined whether stock price log follows a normal distribution and whether the expected mean and the expected volatility in stock is an increasing function of time. The sample for this study was based on listed monthly stock data quoted on the Nigerian stock exchange for a period of five years (2015-2019). The test of normality was conducted using the Kolmogorov-Smirnov test statistic and the geometric Brownian motion model was employed as the method of data analysis. Results of the analysis showed that the log of stock price follows a normal distribution, it also showed that the expected mean and expected volatility of stock price is an increasing function of time, depicting randomness and fluctuations in its path as a result of the market shocks and volatility.
Co-Authors Joshua, ThankGod Ononuju, Emmanuel Fidel ThankGod, Joshua