The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange

dc.contributor.advisor	Gool, Sulaiman
dc.contributor.author	Li, Yang
dc.contributor.other
dc.contributor.other	Faculty of Economics and Management Sciences
dc.date.accessioned	2013-10-24T09:43:56Z
dc.date.available	2009/10/02 10:02
dc.date.available	2009/10/02
dc.date.available	2013-10-24T09:43:56Z
dc.date.issued	2007
dc.identifier.uri	http://hdl.handle.net/11394/2348
dc.description	Magister Commercii - MCom	en_US
dc.description.abstract	Previous 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.	en_US
dc.language.iso	en	en_US
dc.publisher	University of the Western Cape	en_US
dc.subject	Cash management	en_US
dc.subject	Cash flow	en_US
dc.subject	Exchange rates	en_US
dc.title	The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange	en_US
dc.type	Thesis	en_US
dc.rights.holder	University of the Western Cape	en_US
dc.description.country	South Africa