Indexing

Abstract: The main purpose of the study is to evaluate the extent of relationship between job redesign, role clarity and Business Education lecturers job performance in public universities in South-South, Nigeria. The study guided by two research questions adopted a correlational survey research design. With the aid of questionnaire a sample population of 123 respondents were obtained and multi-stage sampling techniques was used in the selection of the 123 Business Education lecturers. The reliability of the instrument had the following coefficient result RQ1 = 0.83, RQ2 = 0.88, RQ3 = 0.86, RQ4 = 0.94, RQ5 = 0.96, RQ6 = 0.88 and RQ7 = 0.92 with a research question mean of 0.90 using Cronbach’s alpha. Data collected were analyzed using Pearson Product-Moment Correlation and t-test which was used to test the null hypotheses formulated at 0.05 level of significance. In answering the research questions item, the decision rule, any mean score of 2.5 and above was regarded as high extent of relationship (HER) while any mean score less than 2.5 was regarded as low extent of relationship (LER). The mean and standard deviation was employed in answering the seven research questions. The findings uncovered high extent of the relationship between job redesign and Business Education lecturers job performance and relationship between role clarity and Business Education lecturers job performance. The study hereby recommends that university administrators and departments should implement job redesign strategies to balance teaching and research workloads with clarity of assigned job descriptions.

Keywords: Business Education, Job Redesign, Lecturers, Relationship, Role Clarity.

Title: The Extent of Relationship between Job Redesign, Role Clarity and Business Education Lecturers Job Performance in Public Universities in South-South, Nigeria

Author: Emaziye Oghenekome

International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)

ISSN 2350-1049

Vol. 13, Issue 2, April 2026 - June 2026

Page No: 11-18

Paper Publications

Website: www.paperpublications.org

Published Date: 27-June-2026

Abstract: This study investigates model selection and seasonal volatility dynamics in the Nigerian stock market using asymmetric Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models. Daily returns of the Nigerian Stock Exchange (NSE) All Share Index from January 2016 to December 2025 are analyzed to capture key volatility characteristics across different market conditions. The study estimates and compares alternative volatility specifications, including GARCH (1,1), EGARCH, GJR GARCH, TGARCH, and QGARCH models, with primary emphasis on in-sample model performance. Preliminary diagnostic tests confirm that the return series is stationary and exhibits significant ARCH effects, indicating time varying volatility and justifying the use of GARCH-type models. The empirical results reveal strong volatility persistence and clear evidence of asymmetric responses to market shocks, consistent with the leverage effect observed in financial markets. Model selection based on log-likelihood values and information criteria (Akaike Information Criterion and Bayesian Information Criterion) indicates that the EGARCH model provides the best in sample fit among the competing specifications. This suggests that accounting for asymmetry significantly improves model performance in the Nigerian context. To examine seasonal volatility dynamics, calendar based dummy variables are incorporated into the variance equation. The results show no statistically significant day-of-the-week effects, while modest reductions in volatility are observed during the mid-year months, particularly from April to June. However, these seasonal effects are relatively weak compared to the dominant influence of volatility persistence. Overall, the findings highlight the superiority of asymmetric GARCH models for capturing volatility dynamics and provide useful insights for risk modelling and financial market analysis in emerging economies

Keywords: Stock Market Volatility; Model Selection; Asymmetric GARCH; EGARCH; Seasonality; Nigerian Stock Market.

Title: Model Selection and Seasonal Volatility Dynamics in the Nigerian Stock Market: Evidence from Asymmetric GARCH Models

Author: Olominu, T. A., Ajiboye A. S., Adejuwon, M. A

International Journal of Recent Research in Interdisciplinary Sciences (IJRRIS)

ISSN 2350-1049

Vol. 13, Issue 2, April 2026 - June 2026

Page No: 1-10

Paper Publications

Website: www.paperpublications.org

Published Date: 02-June-2026