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African Journal of Economics and Sustainable Development
Vol. 6Issue 42023pp. 74–84Published 23 November 2023
DOI 10.52589/AJESD-XQFAMZMYShare Link
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Abstract:
Commodity price forecasts play an important role in terms of guidance to economic agents and policymakers in developing countries. This paper focuses on the development of exponential smoothing state space (ETS) innovation models for forecasting monthly export price indexes of four different commodities in Nigeria for the period 2000-2021. The data are secondary and collected from the Central Bank of Nigeria (CBN) Statistical Bulletin. After examining the possible models using the computed information criteria, the results showed that the exponential smoothing state space model (M, Ad, N), (M, N, M), (M, N, M), and (M, N, N) are suitable for forecasting Commodity 1, Commodity 2, Commodity 3, and Commodity 4 respectively.
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