{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T05:31:37Z","timestamp":1793338297036,"version":"4.5.0"},"posted":{"date-parts":[[2026]]},"group-title":"SSRN","reference-count":0,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:p>Exchange rate volatility remains a significant concern for Ghana's economic stability, international trade, investment decisions, and financial market performance. The Ghanaian cedi's fluctuations against major global and regional currencies create uncertainty for importers, exporters, investors, financial institutions, and policymakers, making reliable volatility modeling and forecasting essential for effective economic planning and risk management. This study examines the behavior of the Ghanaian cedi's exchange rate volatility against selected major global and regional currencies using evidence from the Bank of Ghana interbank foreign exchange market. It seeks to characterize exchange rate movements, identify the persistence and patterns of volatility, evaluate the relationships between exchange rate fluctuations across currency pairs, and assess the predictive performance of appropriate time-series forecasting models. The study adopts a quantitative time-series approach based on interbank exchange rate observations, with the choice of model determined by the characteristics of the data and the objectives of the analysis. Descriptive statistics, stationarity tests, diagnostic procedures, and suitable volatility models may be employed to examine exchange rate dynamics, while forecasting performance can be evaluated using established error measures. The analysis is intended to provide evidence on the extent to which exchange rate volatility persists over time and whether historical market movements can support reliable forecasts. The findings are expected to contribute to understanding Ghana's foreign exchange market and provide useful insights for monetary authorities, businesses engaged in international transactions, financial market participants, and researchers. By focusing on both global and regional currencies, the study offers a framework for examining Ghana's external currency exposure and strengthening evidence-based exchange rate risk management. Actual empirical conclusions will depend on the estimation results obtained from the selected data and models.<\/jats:p>","DOI":"10.2139\/ssrn.7665540","type":"posted-content","created":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T04:59:41Z","timestamp":1793336381000},"source":"Crossref","is-referenced-by-count":0,"title":["Modeling and Forecasting the Ghanaian Cedis Exchange Rate Volatility Against Major Global and Regional Currencies: Evidence from the Bank of Ghana Interbank Market"],"prefix":"10.2139","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-0962-2083","authenticated-orcid":true,"given":"Omolere","family":"Oluwatoyi Justion","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","container-title":[],"original-title":[],"deposited":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T04:59:41Z","timestamp":1793336381000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ssrn.com\/abstract=7665540"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":0,"URL":"https:\/\/doi.org\/10.2139\/ssrn.7665540","relation":{},"subject":[],"published":{"date-parts":[[2026]]},"subtype":"preprint"}}