Exchange rate models and the management of forex losses in Ghana: Modelling exchange rate volatilities for businesses (Record no. 528714)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01851nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250106b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Abdul-Rahaman, A.R. Martha, C. and Ayamba, E.C. |
| 245 ## - TITLE STATEMENT | |
| Title | Exchange rate models and the management of forex losses in Ghana: Modelling exchange rate volatilities for businesses |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Management and Labour Studies |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 49(4), Nov, 2024: p.679-703 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Using the Self-exciting Threshold Autoregressive Model (SETAR_M) and linear models such as the vector error correction model (VECM), and univariate models, this article specifies forecasting models for exchange rate volatilities in Ghana and compares their forecasts accuracy using Diebold–Mariano and Pesaran-Timmermann tests statistics. The relevance of this research is to equip business owners and businesses on managing forex losses and to reduce their impact on profits, productivity and employment in high volatile and unstable currency environments. The research concludes that the non-linear SETAR model is superior to the linear models in predicting short-term volatilities in exchange rates, while the fundamentally based linear model is superior for predicting long-term volatility in exchange rates. Therefore, short-term business commitments or transactions such as raw material purchases, cash expenses or incomes in foreign currencies should be planned or managed using SETAR or a non-linear model, whereas long-term contractual obligations like futures and forward contracts should be planned with a fundamentally based multivariate linear model.- Reproduced https://journals.sagepub.com/doi/full/10.1177/0258042X241233043 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Ghana, Exchange rate, ARIMA models, SETAR models,, VAR models, Forecasting accuracy. |
| 9 (RLIN) | 49715 |
| 773 ## - HOST ITEM ENTRY | |
| Main entry heading | Management and Labour Studies |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Item type | Articles |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent location | Current location | Date acquired | Serial Enumeration / chronology | Barcode | Date last seen | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Indian Institute of Public Administration | Indian Institute of Public Administration | 2025-01-06 | 49(4), Nov, 2024: p.679-703 | AR134909 | 2025-01-06 | Articles |