Firm Characteristics and Stock Returns of Nigerian Quoted Firms: A Two-Sector Comparative Analysis

Peter, Akinyemi Kayode; Ojo, Oke Mike; Adewoye, Olaolu Adegboyega

doi:10.31014/aior.1992.03.01.200

Cited by 1 publication

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References 7 publications

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“…Their study revealed distinct differences in how firm characteristics influence stock returns across sectors, with earnings per share, liquidity, and market capitalization playing significant roles. This comparative analysis sheds light on the sectorspecific factors that manufacturing companies must consider when implementing financial modeling techniques to enhance their market performance and operational efficiency (Peter, Ojo, & Adewoye, 2020). The synthesis of these studies illustrates the multifaceted nature of implementing advanced financial modeling techniques in inventory management across different manufacturing contexts.…”

Section: Effectiveness Of Various Strategies In Different Manufacturi...mentioning

confidence: 95%

Advanced financial modeling techniques for reducing inventory costs: A review of strategies and their effectiveness in manufacturing

Ayodeji Enoch Adegbola,

Mayokun Daniel Adegbola,

Prisca Amajuoyi

et al. 2024

Financ. account. res. j.

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This study investigates the effectiveness of advanced financial modeling techniques in reducing inventory costs within the manufacturing sector, with a focus on the integration of predictive analytics, artificial intelligence (AI), and machine learning. Employing a systematic literature review and content analysis, the research scrutinizes academic journals, conference proceedings, and industry reports published between 2015 and 2024. The methodology hinges on predefined inclusion and exclusion criteria to ensure the relevance and quality of the selected literature, followed by a thematic analysis to distill key insights. Key findings reveal that advanced financial modeling significantly enhances demand forecasting accuracy, thereby optimizing inventory levels and reducing associated costs. The integration of AI and machine learning technologies not only streamlines inventory management processes but also enables manufacturers to adapt swiftly to market fluctuations, thus minimizing waste and improving operational efficiency. Despite the evident benefits, challenges such as data quality, technological integration, and ethical considerations in AI implementation were identified. The study recommends that manufacturers prioritize the adoption of these advanced models, invest in relevant technologies, and foster a culture of continuous learning and adaptation. Future research directions include exploring the scalability of these models for SMEs, assessing the long-term sustainability of cost reductions, and investigating the potential of emerging technologies like blockchain and IoT in inventory management. Finally, the strategic implementation of advanced financial modeling techniques offers a pathway for manufacturers to enhance competitiveness, achieve cost efficiencies, and navigate the complexities of the digital era in inventory management. Keywords: Advanced Financial Modeling, Inventory Cost Reduction, Predictive Analytics, Manufacturing Sector.

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Section: Effectiveness Of Various Strategies In Different Manufacturi...mentioning

confidence: 95%

Advanced financial modeling techniques for reducing inventory costs: A review of strategies and their effectiveness in manufacturing

Ayodeji Enoch Adegbola,

Mayokun Daniel Adegbola,

Prisca Amajuoyi

et al. 2024

Financ. account. res. j.

View full text Add to dashboard Cite

show abstract

Firm Characteristics and Stock Returns of Nigerian Quoted Firms: A Two-Sector Comparative Analysis

Abstract: The Journal of Economics and Business is an Open Access publication. It may be read, copied, and distributed free of charge according to the conditions of the Creative Commons Attribution 4.0 International license.

Cited by 1 publication

References 7 publications

Advanced financial modeling techniques for reducing inventory costs: A review of strategies and their effectiveness in manufacturing

Advanced financial modeling techniques for reducing inventory costs: A review of strategies and their effectiveness in manufacturing

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