The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange
Magister Commercii - MCom === 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 sta...
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Online Access: | http://hdl.handle.net/11394/2348 |
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ndltd-netd.ac.za-oai-union.ndltd.org-uwc-oai-etd.uwc.ac.za-11394-23482017-08-02T04:00:08Z The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange Li, Yang Gool, Sulaiman Faculty of Economics and Management Sciences Cash management Cash flow Exchange rates Magister Commercii - MCom 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. South Africa 2013-10-24T09:43:56Z 2009/10/02 10:02 2009/10/02 2013-10-24T09:43:56Z 2007 Thesis http://hdl.handle.net/11394/2348 en University of the Western Cape University of the Western Cape |
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en |
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Cash management Cash flow Exchange rates |
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Cash management Cash flow Exchange rates Li, Yang The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
description |
Magister Commercii - MCom === 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. === South Africa |
author2 |
Gool, Sulaiman |
author_facet |
Gool, Sulaiman Li, Yang |
author |
Li, Yang |
author_sort |
Li, Yang |
title |
The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
title_short |
The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
title_full |
The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
title_fullStr |
The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
title_full_unstemmed |
The time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the Johannesburg Stock Exchange |
title_sort |
time-series approaches in forecasting one-step-ahead cash-flow data of mining companies listed on the johannesburg stock exchange |
publisher |
University of the Western Cape |
publishDate |
2013 |
url |
http://hdl.handle.net/11394/2348 |
work_keys_str_mv |
AT liyang thetimeseriesapproachesinforecastingonestepaheadcashflowdataofminingcompanieslistedonthejohannesburgstockexchange AT liyang timeseriesapproachesinforecastingonestepaheadcashflowdataofminingcompanieslistedonthejohannesburgstockexchange |
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1718510317060751360 |