RE: A credit to the bb.16 Oct 2015 17:54
Thanks bigtimber.
Being a long time holder I have a file with all of the company's 12 interim and 11 final reports going back to June 2004 (the first interim report only covered one month since listing). These past reports are interesting from a historical perspective, and highlight some serious past mistakes with capital allocation (under different CEO's). These included buying the Tsavorite project and excessive dividend payments that necessitated very dilutive capital raisings to keep the company afloat to the detriment of existing shareholders.
As the company is no longer operating in Tanzania and we have just started mining and selling Australian sapphires these past reports will be of little interest to Shore Capital. They will be focusing on assessing the current and potential profitability of the new sapphire mine and sales going forward. They will be interested in how ramp up is proceeding, results to date (cts produced, quality mix, cts sold, average prices achieved, costs to mine/ct etc.) as well as future prospects and potential future production and sales. We still have to see results of initial mining and sales, but I hope much of this information will be in the next quarterly operational update
I would refer to the data as “Fundamentals” not “Technicals”. The latter term usually refers to where traders look at historical share price levels and movements (often without any consideration of underlying business fundamentals) to find patterns and regularities in order to forecast future price movements. Descriptive names for supposed patterns in the data like “double bottoms”, “head and shoulders” and “resistance levels” are used. However, as discussed by John Price in his book "The Conscious Investor" scientific assessments of such methods have invariably concluded that none of these simple technical patterns when examined have showed a profit above what could be expected by chance. John Price does however note there is some indication that much more sophisticated data mining approaches that use artificial intelligence methods (like neural network analysis) can profitably predict share price moves. Such methods may build very complex predictive models based on share price movements, transaction volumes and market indices together with other fundamental data. Very complex relationships in the data can be found that are far beyond anything that can be picked up by scanning a graph of share prices by eye or using standard more elementary classical technical approaches that are available in some computer share trading programs. Some therefore consider simple technical analysis akin to fortune telling by looking at random patterns of tea leaves in a cup!
I prefer to invest for the longer term, and consider buying shares as buying part of the business. I am more concerned about fundamentals of the business, its economic moat and prospects for EPS growth,