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18-Geol-B8 Resource Economics & Valuation · May 2016

Question 2 of 6: Cyclicality of Mineral Commodity Prices and the Oil Price–Exchange Rate Relationship

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

National Exams — May 2016 — 04-Geol-B8, Resource Economics and Valuation. Three-hour, open-book exam; any non-communicating calculator permitted. Six questions are printed; the exam's own cover notes state that only the first four questions in the answer book are marked, and each of the six is of equal value (25 marks) — all six are answered here as a complete study resource. Most questions require mathematical solutions, and clarity and organization of the steps involved are explicitly graded.

Reference texts: Torries, Evaluating Mineral Projects: Applications and Misconceptions (SME, 1998) — discounted cash flow valuation of mine projects, net smelter return economics, royalty valuation, and cut-off grade theory; Rudenno, The Mining Valuation Handbook, 4th ed. (Wrightbooks, 2012) — comparable-transaction and appraised-value (Kilburn) methods, copper-equivalent grade, and resource/reserve-stage valuation; EGBC Geoscience Professional Practice Guidelines for assumption-disclosure conventions on open-book calculations.

Question 2: Cyclicality of Mineral Commodity Prices and the Oil Price–Exchange Rate Relationship (25 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

(i) Why mineral commodity prices move in multi-year cycles

Mineral commodities traded in competitive markets are unusually price-inelastic on the supply side over short horizons: bringing a new mine into production — exploration, permitting, feasibility, construction — typically takes five to ten years or more, so a sudden rise in demand cannot be met by fresh supply for years, and prices must instead ration the existing (nearly fixed) output among buyers. The most recent cycle illustrates this mechanism clearly. Rapid industrialization and urbanization in China through the 2000s drove a sustained surge in demand for base metals, iron ore, coal and oil — the "commodity supercycle" — that outran the industry's ability to add capacity, pushing prices to historic highs by 2011. That price signal then triggered a wave of new mine development and expansion decisions across the industry, financed on the assumption that high prices would persist; those projects reached production in a lagged, clustered wave from roughly 2012–2016, arriving just as Chinese demand growth decelerated from its earlier double-digit pace. The result was a sustained oversupply and a multi-year price collapse (2011–2016) across nearly every major mined commodity.

Two further characteristics reinforce the cyclical pattern beyond the raw lag. First, the industry cost curve itself is cyclical: in a downturn, the highest-cost marginal producers cut production or close, which tightens supply and helps seed the eventual price recovery, while in an upturn even high-cost, marginal deposits become profitable and are brought on, adding to the eventual oversupply. Second, commodity markets carry a large speculative and inventory-driven trading layer on top of physical supply/demand, which amplifies price swings in both directions relative to what physical fundamentals alone would produce, and financing conditions (equity and debt availability for mine development) tighten in downturns and loosen in upturns, further synchronizing the industry's investment decisions into cohorts rather than a smooth, continuous response to demand.

(ii) Oil price and the CAD/USD exchange rate

[Figure not reproduced: Exam figure: scatter plot of oil price (US$ 2015 per barrel) against the exchange rate (C$ per US$) over the last 20 years. See the official exam paper or the cited reference text.]

The exam’s own scatter plot (source page 3): oil price in constant 2015 US dollars per barrel against the exchange rate in Canadian dollars per US dollar.

Reading the plot. At oil prices of roughly USD 17–38/bbl the points sit between about CAD 1.15 and 1.58 per USD, with wide vertical scatter; at USD 45–60/bbl they fall to about CAD 1.14–1.30 per USD; and at USD 66–102/bbl they cluster tightly at about CAD 0.99–1.13 per USD, reaching parity near USD 90/bbl. The relationship is therefore clearly negative (inverse) and somewhat curved — steep at low prices and flattening toward parity at high prices — and it is loosest at low oil prices, where other drivers of the exchange rate (interest-rate differentials, non-energy exports, general US-dollar strength) dominate.

In words: as the oil price falls, more Canadian dollars are needed to buy one US dollar, i.e. the Canadian dollar depreciates. This is the well-documented "petro-currency" effect — Canada is a major net oil exporter (concentrated in Alberta's oil sands and conventional production), so oil export revenue is a material share of the country's terms of trade and of the US-dollar earnings flowing into the Canadian economy. When the oil price falls, those USD earnings shrink, the current-account and investment outlook for Canada weakens, capital flows out of oil-linked Canadian assets, and the Bank of Canada typically eases policy in response to the weaker growth outlook — all of which push the CAD/USD rate up (CAD down). The 2014–2016 collapse in this exam's own reference period is the clearest recent instance: WTI fell from roughly USD 100/bbl in mid-2014 to under USD 30/bbl in early 2016, and the Canadian dollar weakened from roughly CAD 1.07 to about CAD 1.45 per USD — a depreciation of roughly a quarter against an oil-price fall of about 70%.

For Canadian petroleum producers this relationship is a partial natural hedge rather than a coincidence to note in passing. Producers sell oil in US-dollar-denominated world markets but incur the large majority of their operating and capital costs in Canadian dollars (labour, domestic services, in-country capital equipment); when the oil price falls and the CAD depreciates in response, each USD of (reduced) revenue converts into more CAD, which cushions — without eliminating — the decline in CAD-denominated margins and cash flow relative to a producer operating entirely on a single currency. This partial offset works both ways through the cycle described in part (i): it dampens the amplitude of the boom as well as the bust as measured in the producer's own domestic currency, but it does not neutralize a severe price collapse, since the currency move is only ever a fraction of the underlying commodity-price move, and imported capital equipment and any USD-denominated debt become more expensive in CAD terms exactly when cash flow is weakest.