Page 288 - Introduction to Mineral Exploration
P. 288

11: PROJECT EVALUATION  271


                 upwards but are not likely to increase at a rate  and also the probability of a certain rate of re-
                 exceeding 15% a year. However selling prices,  turn (Wanless 1982, Goode et al. 1991, Hatton
                 and particularly for those commodities sold on  1994b, Decisioneering 2003).
                 exchanges, may decrease or increase and in
                 extreme instances can either double or halve in
                 a year (Figs 1.5 & 1.6). Forecasting commodity  11.7  INFLATION
                 price trends is a specialist operation and there
                 are groups who provide this service on a con-  Mining is among the most capital intensive of
                 sultancy basis, such as Brook Hunt, London. If  industries, and ranks near the top of the indus-
                 no reliable price trend predictions are available  trial sectors in this respect. This is related to
                 a break-even price can be calculated from a  the complex technology of modern production
                 cash flow at a required rate of return – this is  systems; high investment in major infrastruc-
                 the price at which operating and financing    tures such as town sites, railways and ports,
                 costs can be met and the mine can continue   and expenditure on social and environmental
                 in production. Once this minimum price is    aspects. To offset this trend projects became
                 known, the possibility of its being maintained  larger (i.e. higher production) to benefit from an
                 over a standard 10-year period can be assessed.  economy of scale which would either control
                   These sensitivity results are best appreciated  or reduce increasing capital (and production)
                 graphically with variation in the single com-  costs per unit of production. Generally, how-
                 ponent concerned plotted against the related  ever, the capital cost of mineral projects is
                 DCF ROR (Box 11.3).                          rising significantly. This inherent increase is
                                                              exacerbated by inflation. As an example, an
                                                              inflation rate of 7% a year for 5 years will in-
                 Quantitative assessment
                                                              crease estimates by 40% in year 5. The impact
                 Discussion on components used in the cal-    of high inflation rates on capital (and operating
                 culation of a cash flow has not included any  costs) for projects with a long pre-production
                 quantitative statement of risk. Each compon-  period of several years can be considerable.
                 ent has been thought of as if it were a constant  Related to inflation, monetary exchange rates
                 with a probability of occurring of 1.0. Most  are an important item to consider in mine
                 of these components are variables, a concept  evaluation. When a company operates a mine
                 readily apparent from considering the grade of  under one currency but sells its products in an-
                 a deposit which is an average value within   other, changes in exchange rates between them
                 its own distribution and probability of occur-  can have serious consequences for cash flows.
                 rence. The same principle applies to estimates  When inflation was in low single figures its
                 of mining cost, recovery, selling price, etc.  effect on the valuation of mineral projects was
                   Normally a spreadsheet model will only     negligible and could be ignored but with higher
                 reveal a single outcome, generally the most  rates its effect on calculated rates of return may
                 likely or average case. The use of simulation  be considerable. The value of money, measured
                 enables the user to automatically analyze the  by what it will buy, becomes progressively less
                 effects of varying inputs on the modeled sys-  as time passes. The overall rate of increase in
                 tem. Probability of occurrence can be com-   price (or fall in the value of money) is measured
                 puted in a spreadsheet, by randomly generating  by a gross national product deflator and is the
                 values for uncertain variables many times over.  weighted average of the various price increases
                 The result is a probability distribution of the  within a particular national economy. There
                 uncertain variable, or a simulated model. One  are other measures of inflation (Camm 1991)
                 type of spreadsheet simulation is referred to as  which may be more appropriate in particular
                 Monte Carlo simulation (Decisioneering 2003,  circumstances such as retail and wholesale
                 Lumina 2003).                                price indices (Economagic 2003), the indices of
                   It is possible to use these component dis-  capital goods in various categories, and wage
                 tributions in the calculation of a cash flow with  indices for a country, an industry, or a particu-
                 their probability of occurrence, instead of fixed  lar skill.
                 values with no risk element. The probability   The differential inflation (or escalation)
                 distribution of DCF or NPV can be calculated  which exists between the various components
   283   284   285   286   287   288   289   290   291   292   293