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Abdul Ghaniyyu Abubakari

Biographic Data

ID6891641
NAMEAbdul Ghaniyyu Abubakari
GIVEN NAMESAbdul Ghaniyyu
FAMILY NAMEAbubakari
SIGNATUREABUBAKARI A G
AFFILIATIONSUniversity for Development Studies
ORCID0000-0003-0423-8465
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Predicting Cocoa Prices in Ghana Using Machine Learning and Decomposition Based Hybrid Models

    Open Access•Mashud Wahab, Abdul Ghaniyyu Abubakari et al.•ARTICLE•Statistics Politics and Policy•2026•References: 2

    The contribution of cocoa to the economies of countries, especially producing countries cannot be understated. However, volatility in the prices of commodities affect all stakeholders in the production value chain as it affects planning, policy implementation and mitigation of risks. Thus, it is very crucial to be able to forecast cocoa prices with a high degree of certainty. Hence, this study modeled cocoa prices in Ghana using 15 machine learni…

  • Bayesian Switching Volatility Models for Analysing Stock Returns in Ghana

    Edward Akurugu, Irene Dekomwine Angbing et al.•ARTICLE•Statistics Politics and Policy•2022•References: 1

    The goal of this research was to use Bayesian switching volatility models to model the stock returns of the GCB, bank in Ghana. Monthly stock prices of GCB bank for the period of 138 months were used for the study. The two-state Markov-Switching GARCH models were used in the study to determine the best model for modelling and forecasting the stock returns. The Deviance Information Criteria was considered when selecting the best model. Based on th…

No prominent works on this page.

  • Bayesian Switching Volatility Models for Analysing Stock Returns in Ghana

    Edward Akurugu, Irene Dekomwine Angbing et al.•ARTICLE•Statistics Politics and Policy•2022•References: 1

    The goal of this research was to use Bayesian switching volatility models to model the stock returns of the GCB, bank in Ghana. Monthly stock prices of GCB bank for the period of 138 months were used for the study. The two-state Markov-Switching GARCH models were used in the study to determine the best model for modelling and forecasting the stock returns. The Deviance Information Criteria was considered when selecting the best model. Based on th…

  • Predicting Cocoa Prices in Ghana Using Machine Learning and Decomposition Based Hybrid Models

    Open Access•Mashud Wahab, Abdul Ghaniyyu Abubakari et al.•ARTICLE•Statistics Politics and Policy•2026•References: 2

    The contribution of cocoa to the economies of countries, especially producing countries cannot be understated. However, volatility in the prices of commodities affect all stakeholders in the production value chain as it affects planning, policy implementation and mitigation of risks. Thus, it is very crucial to be able to forecast cocoa prices with a high degree of certainty. Hence, this study modeled cocoa prices in Ghana using 15 machine learni…

Volatility (finance (2 works) · Autoregressive conditional heteroskedasticity (1 work) · Bayesian inference (1 work) · Bayesian probability (1 work) · Cocoa and Sweet Potato Agronomy (1 work) · Crude oil (1 work) · Decomposition (1 work) · Deviance (statistics (1 work) · Deviance information criterion (1 work) · Econometrics (1 work)

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