The crude oil market and the gold market: Evidence for cointegration,causality and price discovery

Given that the gold market and the crude oil market are the main representatives of the large commodity markets, it is of crucial practical significance to analyze their cointegration relationship and causality, and investigate their respective contribution, from the perspective of price discovery, to the common price trend so as to interpret the dynamics of the whole large commodity market and forecast the fluctuation of crude oil and gold prices.     

Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch–Singer hypothesis

In his recent article on measuring the long-term trends in the real prices of primary commodities, Cuddington (2010) extends in several important respects our earlier efforts (Svedberg and Tilton, 2006) to correct real commodity price trends for biases in the Consumer Price Index and other deflators. First, he argues for a log-linear relationship between prices and time. Second, he proposes a simple and quick method for obtaining corrected price trends from the published but uncorrected estimates. Finally, he illustrates, for the case of copper and presumably for many other commodities as well, the difficulties of obtaining real price trends significantly different from zero when the log values of the price data contain a unit root, requiring the use of difference stationary models.We welcome these insights, which should improve and make easier efforts to estimate correctly real commodity price trends over the long run. We would stress, however, that it is still important to correct for the biases in inflation indices, notwithstanding the failure of difference stationary models to obtain long-run real price trends (both corrected and uncorrected) significantly different from zero.     

Estimating the volatility of mining projects considering price and operating cost uncertainties

In the real option pricing model of valuation and decision making, the estimation of future volatility is a key input parameter. For traded commodities or financial assets, past volatility is used as a proxy for predictions. But, for projects, this approach is not feasible because, in most cases, historical data of traded projects are not available. As an alternate solution, it is usually assumed that project volatility is equal to that of commodity price. In order to investigate this assumption, we estimate the project volatility considering that both commodity price and operating cost evolve as a geometric Brownian motion (GBM). Results of a hypothetical gold mining project indicate that project volatility is higher than that of commodity price and it only drops to price volatility under very unrealistic industry conditions, such as very high prices or very low production costs. In addition, we find that project volatility is independent of production capacity and taxation, but depends on increments in price and cost, as well as strongly on their degree of correlation.     

Forecasting precious metal price movements using trader positions

In the early 2000s, the precious metal markets entered into a new phase where a steady rise of prices had been observed until the October 2008 crash. Given the size and importance of precious metal market, as well as the hedging capacity of precious metals due to their low correlation with equity markets (Draper et al., 2006), the question we want to arise is whether trader positions predict the direction of gold, platinum, and silver spot price movements. The forecasting content of the Commodity Futures Trading Commission’s Commitment of Traders report for platinum, silver and gold prices using trader positions is investigated in a VAR framework. Granger causality tests are conducted to determine whether a relation between trader positions and market prices exists. An examination of the extreme trader positions on price movements is also conducted. The results indicate that market return is a significant parameter in explaining trader’s positions for all trader types in each of the precious metal markets under consideration after the beginning of 2000s where we detect a structural break for each of the market under study. Commercial traders are found to be negative feedback traders, that is, they sell when the prices increase in the market. On the other hand, in line with the previous literature, a positive correlation between returns and positions held by non-commercial and non-reporting traders is found. However, trader’s net positions do not lead market returns in general. There is some evidence on the forecasting ability of extreme trader positions on market returns.     

我国稀土进出口量与价格关联度状况分析

稀土是我国五大优势矿产资源之一,在我国国民经济建设中具有重要的战略意义.近年来,我国稀土矿产品进出口贸易逐年增长,而进出口价格却呈现较大幅度的波动趋势.从对我国稀土进出口总量、进出口价格走势的分析入手,利用灰色关联度模型评估稀土出口总量分别对出口价格、进口价格、进口总量的相关程度,提出了我国稀土贸易的相关建议.     

Global trends in gold mining: Towards quantifying environmental and resource sustainability

In recent years, due to public concern over perceived and actual environmental impacts, the global mining industry has been moving towards a more sustainable framework. For gold mining, there are a number of fundamental issues with regard to assessing sustainability. Commonly perceived as a finite and non-renewable resource, long-term gold production trends include declining ore grades and increasing solid wastes (tailings, waste rock) and open cut mining. Conversely, core sustainability issues include water, energy and chemical consumption and pollutant emissions—also known as ‘resource intensity’. It is important to recognise the links between gold production trends and resource intensity, as this is critical for understanding future sustainability challenges. This paper links data sets on historic gold mining production trends with emerging sustainability reporting to estimate resource intensity, demonstrating the sensitivity of ore grade for gold production and sustainability. Final judgement of the sustainability of gold mining must take account of the sensitivity of the ore grade in the resource intensity of gold production. This has implications for environmental policy and sustainability reporting in the gold mining sector.     

Jumps in Euribor and the effect of ECB monetary policy announcements

The main tool that the ECB uses to influence monetary policy is through the short-term refinancing rate, a change in the short-term interest rate can in turn cause the whole yield curve to shift. In addition to central bank announcements, interbank rates such as Euribor are also influenced by, forward guidance from the ECB, various macroeconomic events, liquidity in the money markets and the perceived credit worthiness of financial institutions. Forward rates are usually used by policy makers and market practitioners to examine expectations, but options provide additional information about the uncertainty of these expectations, particularly future jump expectations. This research examines the jump characteristics of the 3-month Euribor futures contract and its corresponding futures option contracts using both a jump diffusion model with a Bernoulli jump distribution and option-implied parameters using a jump diffusion process with Poisson distribute. We find that both the Bernoulli jump analysis of historical data and implied jump diffusion model succinctly capture diffusion volatility, jumps and jump size. Using a regression analysis to examine the effect of ECB refinancing rate monetary policy announcements on the 3-month Euribor and the associated jump parameters, we find a significant relationship between ECB announcements and the probability of a jump in Euribor. Regression coefficients on the implied jump amplitude parameters suggest that the market correctly anticipates the direction of the rate announcement suggesting option-implied jump parameters can predict, to some extent, ECB announcements. However, our results also show that there is significant uncertainty before the announcements, and this implies that monetary policy communication is not having the full desired effect.     

Oil spills on other commodities

This paper examines the effect of crude oil prices on the prices of 35 internationally traded primary commodities for the 1960–2005 period. It finds that the pass-through of crude oil price changes to the overall non-energy commodity index is 0.16. At a more disaggregated level, the fertilizer index had the highest pass-through (0.33), followed by agriculture (0.17), and metals (0.11). The prices of precious metals also exhibited a strong response to crude oil price. In terms of individual commodities, the estimates of the food group exhibited remarkable similarity while those of raw materials and metals gave a mixed picture. The implication is that if crude oil prices remain high for some time, as most analysts expect, then the recent commodity price boom is likely to last much longer than earlier booms, at least for food commodities. The other commodities, however, are likely to follow diverging paths. On the methodological side, the results show that price indices, while providing useful summary statistics, they need to be supplemented by individual commodity analysis.     

The Worldwide Availability of Gold

This paper summarizes Bureau of Mines research relating to the state of the world gold industry. The authors discuss the world gold industry structure, demonstrated gold resources, current production, and the long-term cost and availability of potential future gold production.
The long-term cost and availability of primary gold production from 111 significant producing mines and developing deposits in 13 market economy countries (MECs) is evaluated. Total recoverable gold available (as of January 1984) from the evaluated mines and deposits is estimated at 819 million troy ounces. The Republic of South Africa is estimated to account for 87% of total recoverable gold. The USA and Canada account for 4% and 4.5% of the total, respectively. Eighty-three per cent of total recoverable gold is available at a constant 1984 break-even price of $400 per ounce, and 70% is available at $300 per ounce. South Africa accounts for 90% of the gold available at $400 per ounce or less. Gold resources in the Soviet Union and China are discussed but not evaluated for costs of production. Some conclusions of the analyses are that South Africa should remain the largest world producer until the year 2000 and annual MEC output in the year 2000 should not be significantly different from current output, given constant 1984 gold prices of more than $300 per ounce.     

International coal prices

The place coal will occupy among the world's energy supplies depends on many factors, including its price trends. This paper reviews recent price trends and supports the thesis that future coal prices are independent of oil prices, and that they will fluctuate between two limits which are based on production and transport costs in the USA and Australia.     

The price of gold and the exchange rates: Once again

This paper examines the theoretical and empirical relationships between the major exchange rates and the price of gold using forecast error data. Among other things, it is found that, since the dissolution of the Bretton Woods international monetary system, floating exchange rates among the major currencies have been a major source of price instability in the world gold market and, as the world gold market now seems to be dominated by the US dollar bloc, appreciations or depreciations of that dollar would have strong effects on the price of gold in other currencies. The results of this study are rather different from those obtained in an earlier study of the same subject.     

Long-term trends in the Real real prices of primary commodities: Inflation bias and the Prebisch-Singer hypothesis

Following the Boskin et al., (1996) report, it became widely recognized that price indexes in the U.S. and elsewhere overstate inflation. Svedberg and Tilton (2006) highlighted that this inflation bias may have important implications for estimated long-term trends in nonrenewable resource prices. ST construct an inflation-bias corrected CPI (and PPI) for the U.S. and use their corrected deflator(s) to define a so-called ‘real real’ price of copper. Their ‘real real’ price of copper is then used to re-estimate long-term trends in real copper prices. This paper proposes a quick method for obtaining inflation-bias-corrected estimates of long-run trends in real primary commodity prices directly from estimates in the published literature. Our approach obviates the need re-do existing empirical studies using a corrected or ‘real real’ price of nonrenewable resources. The two approaches are mathematically equivalent.     

Using growth curves to forecast long-term trends for processed raw materials

The methods of using growth curves in the economic field to forecast consumption and market developments have been based on the ‘black box’ principle in most of the published cases and have therefore failed to produce reliable results in the medium and long term. This paper introduces an engineering approach for forecasting long-term trends pertaining to the use of processed raw materials. The forecasting is performed by means of a newly developed growth model. To prove the usefulness and validity of the model presented, long-term trends have been calculated for various processed raw materials, such as nickel, platinum and steel.     

Long-term iron ore price modeling: Marginal costs vs. incentive price

The paper studies and applies the approaches to forecast long-term (LT) real prices of iron ore. This price is crucial for valuation of investments in Greenfield iron ore projects on the horizon of more than 5 years. The forecast is obtained by three different approaches which are usually used by investment bank analysts: marginal costs approach and 2 approaches based on calculation of incentive price. The paper concludes that there has been a structural shift on the iron ore market and LT iron ore prices will be higher by 20–30% than the average of industry forecasters suggest. This is related to the 2 key factors which were taken into account in this study—depletion of existing iron ore deposits and targeted return on investments for new projects. In addition, escalated industry costs inflation is claimed to be the factor which will bolster nominal iron ore prices at high levels in the long-term. Using a Monte-Carlo simulation approach, confidence interval for future iron ore price was estimated.     

An assessment of time series methods in metal price forecasting

The international price for metals is pivotal in the profitability equation for mining companies. If producer prices rise, assuming production levels and costs remain the same, profits are expected to increase. Accordingly, producers welcome any means by which price instability and unpredictability can be reduced. The paper analyses the ability of two user-friendly time series forecasting techniques to predict future lead and zinc prices. The conclusion is that price forecasting is difficult. It should, however, be acknowledged that whilst neither of the two models are definitive, they are useful for the mining company vis-à-vis its planning process. In particular, the results from the analysis in this paper suggest that ARIMA modelling provides marginally better forecast results than lagged forward price modelling. The methodologies employed in this paper have a broad based application to base metal forecasting by mining companies in general, that is, the applications are transferable.     

Price prospects in Western Europe for internationally traded fossil fuels until 2000

A methodology for the long-term assessment of prices is designed and applied to the international markets for coal, oil and natural gas and likely price developments between 1990 and 2000 are explored. The coal market will remain competitive, and the long-term price will be determined by the total cost of marginal supply. The oil price will be set, even in the long term, substantially above the competitive level, by those who control the exceptional Middle East resource base. The traditional link between gas and oil prices will erode in the 1990s, and gas will be independently and competively priced by the turn of the century. Resource constraints are not expected to push prices upwards within the time horizon of the study. The relative price of gas will fall over the forecast period, and its market share will increase as a consequence.     

Long memory and chaotic models of prices on the London Metal Exchange

Many financial time series exhibit irregular behaviour. Economic theory suggests that this irregular behaviour might be due to the existence of nonlinear dependence in the markets. Thus, economic time series are governed by nonlinear dynamics.The purpose of this paper is to investigate price behaviour in the London Metal Exchange market. Thus, this study will test the two most attractive nonlinear models—long memory and chaos—on six metal commodities to ascertain which model is consistent with the observed metal price nonlinear dynamics.Application of long memory and chaos analysis provides new approaches for assessing the behaviour of metal prices. We identified, in tin, a case of chaos. Our empirical results in the case of aluminium support the long memory hypothesis. A short memory model explains the underlying processes of the nickel and lead returns series, while zinc returns reflect an anti-persistent process. To our knowledge, this is one of the first attempts to apply long memory and chaos analysis in the evaluation of the behaviour of metal prices.     

Alumina market trends in the 1990s

During the past decade, alumina prices have been highly volatile, so much so that it has endangered the existence of some producers, and limited the ability of some smelters to benefit from higher aluminium prices. Although certain trends can be identified for the 1990s, some factors could again result in large price fluctuations in the alumina market. After a review of those identified trends and factors, this paper attempts to focus on ways to limit the effect of fluctuations in the non-integrated alumina market.     

The effect of the price of gold on its production: a time-series analysis

Production of gold in Australia has grown strongly in recent years. Australia is ranked the world's third largest gold producer, only South Africa and the US produce more than Australia. Most of the Australian gold production comes from one of its states, Western Australia. In this paper, we use recent developments in econometric time series analysis to present an analysis of gold production and prices during the period 1948–1994. The results show that if the price of gold (relative to costs) increases by 10% and the price (in levels) remain the same for the next 5 years, then in the first year gold production will rise by 0.3%; in the second year by 2.2%; in the third year by 7.4%; in the fourth year by 8.9% and in the fifth year by 10.7%.