The Time-Series Approaches in Forecasting One-Step-Ahead Cash-Flow Data of Mining Companies Listed on the Johannesburg Stock Exchange

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dc.contributor.authorLi, Yang
dc.date.accessioned2026-05-21T12:57:07Z
dc.date.available2026-05-21T12:57:07Z
dc.date.issued2007
dc.description.abstractPrevious research pertaining to the financial aspect of the mining industry has focused predominantly on mining products' values and the companies' sensitivity to exchange rates. There has been very little empirical research carries out in the field of the statistical behaviour of mning companies' cash flow data. This paper aimed to study the time-series behaviour of the cash flow data series of JSE listed mining companies.
dc.identifier.urihttps://hdl.handle.net/10566/22789
dc.language.isoen
dc.publisherUniversity of the Western Cape
dc.subjectCash flow from operations
dc.subjectmining companies
dc.subjectJohannesburg Stock Exchange
dc.subjecttime-series analysis
dc.subjectdata transformation
dc.titleThe Time-Series Approaches in Forecasting One-Step-Ahead Cash-Flow Data of Mining Companies Listed on the Johannesburg Stock Exchange
dc.typeThesis

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