Insights from Anticipatory Prices

Contemporaneous observations on expected supply and on prices of post‐harvest futures contracts for corn are used to estimate expected demand relationships. These equations are used to estimate the prices of the post‐harvest contracts based on new supply estimates. Each estimate can be compared with a corresponding futures price, i.e. the market forecast. The differences help discern the market expectations about the expected demand for the new crop relative to historical experience, which can help support outlook analyses. We find that in recent years, a 100 million bushel change in the expected supply of corn results in about a 6 cent per bushel negative change in the price of December corn. The discussion also deepens understanding of the term ‘anticipatory prices’ as defined by Holbrook Working in his 1958 work.     

充分发挥期货市场对农业农村现代化的服务功能

农产品期货市场作为我国重要的金融基础设施,历经30年探索实践,在服务农业农村现代化方面做出显著贡献。其通过提升价格发现效率、丰富风险管理手段、创新业务模式和品种等方式,对内有利于提升农业产业规范化水平,改善农业生产经营模式,促进地方优势产业发展,切实保障农民利益,对外有利于提高我国农产品的国际影响力和定价权。但中国与美国等国际成熟市场存在明显差距,要进一步提升服务农业农村现代化水平。并且中国面临农产品期货发展不充分、国际化程度不高、区域农产品市场规模小、"保险+期货"等模式有待深化等问题。农产品期货市场要通过巩固市场发展基础、创新农业服务机制、增加特色新品种供给、完善现有保障模式、扩大对外开放等方面,提升服务农业农村现代化的深度和广度。     

How Reliable Are Hog Futures as Forecasts?

The Chicago Mercantile Exchange hog futures contract was revamped in 1997 and it is one of the largest futures markets for a nonstorable commodity. The literature is divided on whether or not futures prices for nonstorables provide reliable forecasts of cash prices. We find that from 1998 to 2004, the hog futures market was an unbiased predictor of cash prices.     

Bubbles,Froth and Facts: Another Look at the Masters Hypothesis in Commodity Futures Markets

The Masters Hypothesis suggests that long‐only index funds were the main cause of a massive increase in commodity prices in 2007–2008 and 2011–2012. Central to the Masters Hypothesis are three basic tenets: (i) long‐only commodity index funds were directly responsible for driving futures prices higher; (ii) the deviations from fundamental value were economically very large; (iii) the impact was pervasive across commodity futures markets. There has been a great deal of empirical research on the Masters Hypothesis and commodity market bubbles. However, surprisingly few studies have found evidence that directly support the main tenets of the Masters Hypothesis. Some have attributed the lack of supporting evidence to the low‐power of time‐series tests, market efficiency issues and a lack of conditioning variables within models. In this paper, we address each of these issues using updated data and new empirical approaches. Still, price behaviour consistent with the Masters Hypothesis is surprisingly difficult to find in the data. This is an important finding given the on‐going policy debate and regulations proposed or being implemented to limit speculative positions in these markets.     

Futures markets and price stabilisation: An analysis of soybeans markets in North America

The objective of this paper was to determine whether the futures markets have a stabilising or destabilising impact on soybean's spot prices in North America. Directed acyclic graphs (DAGs) are used to test for causality between futures prices, spot prices and ending stocks, followed by time series econometric analysis. The DAGs point to the two-way causal link between futures and spot prices and a lack of a causal link between inventory/stocks and spot price volatility. Time series results, including cointegration, vector error correction, impulse response and variance decomposition analysis, indicate a large impact from futures markets on the level and volatility of soybean spot prices in both the short and long run. These results have potentially important implications, as the impact of commodity price volatility is typically asymmetric across different actors. Farmers, for example, unlike speculators, utilise price risk management (PRM) instruments such as futures markets to mitigate price risks and appear to suffer from intensified volatility precisely because of their use of these instruments. Therefore, additional policies to cope with commodity price volatility, such as direct price controls or mitigation of consequences, can have critical stabilising functions supporting farmers' welfare and regional (rural) development.     

Is a Futures Market Viable in Turkey? The Case of a Cotton Futures Market

Abstract

Many countries as they reduce price controls develop an interest in futures markets as a way to manage risk. This article explores the potential of using existing futures markets to hedge cotton in Turkey. Futures prices in New York and Liverpool are not cointegrated and only weakly correlated with cash prices in Izmir. Thus, existing futures markets have limited ability to reduce the risk faced by the cotton industry in Turkey. While there are obstacles to overcome, there does appear to be a potential demand for a cotton futures market in Turkey.     

Causality and Efficiency in the Coffee Futures Market

Tests for causality and rationality in the coffee futures market were carried out using data from the New York Market. Tests of causality indicated that futures prices strongly influence variations in spot price eight weeks or more to maturity. However, beginning seven weeks to maturity there seems to be a strong causal relationship going from futures to spot and from spot to futures. Risk constancy or neutrality, equality of risk premium and spot price, and efficiency were rejected for the period 18, 51, and 33 weeks or more to maturity. However, simultaneity of risk neutrality and efficiency was accepted for contracts with 55-77 weeks to maturity. The general conclusion from this study is that coffee futures market can be used as an indicator of spot market prices for contracts with 55-77 weeks to maturity. While benefits can be obtained through short term adjustment of available stock and making use of quality storage facilities, planning longer term planting and marketing decisions (e.g., ≥ 77 weeks) on the basis of futures market price can result in misallocation of resources and welfare loss.     

期货市场、货币供应量对农产品价格波动的影响——基于对小麦、玉米、大豆粮食品种的实证分析

近年来我国农产品价格波动频繁,特别是短期内小宗农产品价格波动剧烈,在一定程度上影响了农业生产秩序和物价稳定.基于2010年1月至2014年4月小麦、玉米和大豆价格的月度数据,采用VAR模型实证分析了农产品期货价格和货币供给的增长在影响农产品价格波动方面的差异性,并提出稳定农产品价格异常波动的相关策略及方法.     

The market efficiency hypothesis: the case of coffee and cocoa futures

This study tests the market efficiency hypothesis for coffee and cocoa futures using daily data for contracts with a maturity of 2 and 6 months. The hypothesis is tested sequentially. The first condition is that future spot and futures prices be cointegraled. If this condition is maintained, market efficiency requires the cointegrating vector to support a (0, 1) restriction that can be likened to an unbiasedness condition. Finally, market efficiency imposes zero restrictions on the parameters of the variables expressed in first differences in the specification of the error-correction representation of the relationship between future spot and futures prices. Brenner and Kroner [Brenner, R., Kroner, K., 1995. Arbitrage, cointegration, and testing the unbiasedness hypothesis in financial markets. Journal of Financial and Quantitative Analysis 30, pp. 23–42] argue that the cointegration condition is rarely met in practice. They attribute this outcome to potentially non-stationary net cost-of-carry which would make the parameters of the cointegration relation unstable. It is for this reason that Hansen's tests [Hansen, B.E., 1992. Tests of parameter instability in regressions with I(1) processes. Journal of Business and Economic Statistics 10] about the stability of the parameters in cointegration regressions were used to supplement more traditional cointegration tests, Johansen and Juselius' cointegration tests [Johansen, S., Juselius, K., 1992. Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK, Journal of Econometrics 53] could not reject cointegration for all four contracts while Hansen's L_C test favored cointegration only for the cocoa contracts. Nested and non-nested testing procedures were used to test the (0, 1) restriction on the cointegration vector. Unbiasedness was found to be robust across testing procedures. However, further testing about the specification of the error-correction representation revealed the existence of important short run deviations from unbiasedness, Even though these results hold strictly for a rather limited number of contracts and commodities, they are encouraging for futures markets advocates in developing countries.     

Hedging Multiple Price Uncertainty in International Grain Trade

Commodity and freight futures contracts are analyzed for their effectiveness in reducing uncertainty for international traders. A theoretical model is developed for a trader exposed to several types of risk. OLS hedge ratio estimation is compared to the SUR and the multivariate GARCH methodologies. Explicit modeling of the time-variation in hedge ratios via the multivariate GARCH methodology, using all derivatives, and taking into account dependencies between prices, results in reductions in risk, even after accounting for transaction costs. Results confirm that while the commodity futures contracts are important for hedging risk, freight futures are a useful mechanism for reducing risk.     

Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs

This paper investigates connectivity between lumber futures contracts, Timberland REITs, the FTSE NAREIT U.S. REIT index, spot prices, and timberland capitalization rates, and contributes to this tranche of research by empirically linking the price discovery process of Timberland Real Estate Investment Trusts to lumber futures. We employ VEC and GARCH models, providing evidence that lumber futures have a positive significant long- and short-run equilibrium relationship with publicly traded Timber REIT prices, connecting a specific futures commodity with its theoretically entwined real estate equity index. As such, exogenous factors that influence Timber REIT prices are documented leading to possible diversification/risk reduction strategies.     

The impact of OECD biofuels policies on developing countries

OECD countries’ biofuels policies, derived from energy and environmental legislation and activated by high oil prices, were the primary cause of not only the sudden spike in grain and oilseed prices in 2007–2008 but also of the ensuing price volatility. Even though developing countries have a comparative advantage in biofuels production, they were shut out of rich countries’ biofuel markets by trade discriminating biofuels policies. Developing countries would not have been able to take full advantage of the price spike in the short run anyway given the low supply elasticities and the long time required for biofuel production to come online, unlike for corn‐ethanol. The controversy over the right price of food is misplaced and policy makers should instead focus on improving biofuels policies, which like their counterpart agricultural policies in previous decades, have damaged the welfare of developing countries.     

Efficiency tests of agricultural commodity futures markets in China

The efficiency of the Chinese wheat and soybean futures markets is studied. Formal statistical tests were conducted based on Johansen's cointegration approach for three different cash markets and six different futures forecasting horizons ranging from 1 week to 4 months. The results suggest a long-term equilibrium relationship between the futures price and cash price for soybeans and weak short-term efficiency in the soybean futures market. The futures market for wheat is inefficient, which may be caused by over-speculation and government intervention.     

Pre-Harvest Price Expectations for Corn: The Information Content of USDA Reports and New Crop Futures

This article examines the puzzle of why futures prices continue to react to USDA crop reports despite the fact that reports appear to be no longer "newsworthy," that is, provide no better production estimates than private forecasts. The information value of reports is measured in terms of their influence on rational agents' harvest-time corn price expectations, which are uncovered using a Hamilton-type modeling approach. Results show that reports are still "newsworthy," as they would contribute to agents' price expectations if released a day early. Thus futures price reactions, which closely reflect price expectations, are rational and consistent with efficient markets hypothesis.     

Revisiting the determinants of futures contracts success: the role of market participants

The Chicago Mercantile Exchange introduced a futures contract for distillers’ dried grains (DDGs) in early 2010, but the market became inactive only four months after its inception. While many new futures contracts do not develop into high‐volume traders, interest from DDG cash market participants indicated that this contract could be successful. Prompted by the unexpected lack of trading activity in this new futures market, we empirically revisit the question of what factors contribute to a futures contract's success and extend the literature by investigating the roles of market participants and the significance of supporting futures markets. Estimation results indicate that the market participant type—hedger or speculator—affects futures contract trade volume. More importantly, we find that the viability of new futures contracts for commodities that are jointly produced with other commodities is impacted by hedgers’ trade volume of the related futures contract. These results provide important additions into the portfolio of indicators used by commodity exchanges to more cost‐effectively evaluate new futures contract products.     

上海原油期货价格与我国新能源股价的相关性研究

选取上海原油期货和中证新能指数作为研究对象,以VAR模型为基础,分析了原油期货价格对新能源行业股价产生的引导作用,研究了上海原油期货与我国新能源行业股价的相关关系。研究结果表明:①上海原油期货价格的下跌会引起我国新能源行业股价的上涨,两者表现出反向变动;②上海原油期货价格对新能源行业股价的贡献率在不断提高,相互影响程度逐渐增强。     

Commodity index investment and food prices: does the “Masters Hypothesis” explain recent price spikes?

The “Masters Hypothesis” is the claim that unprecedented buying pressure in recent years from commodity index investors created massive bubbles in food and energy prices. The purpose of this article is to review the evidence from recent studies that investigate the empirical relationship between index investment and price movements in agricultural futures markets. One line of research uses time‐series regression tests, such as Granger causality tests, to investigate the relationship between price movements and index positions. This research provides little evidence in support of the Masters Hypothesis in agricultural futures markets. A second line of research uses cross‐sectional regression tests and studies in this area provide very limited evidence in favor of the Masters Hypothesis for agricultural futures markets. A third line of research investigates whether there is a significant relationship between commodity index trading and the difference, or spread, between futures prices of different contract maturities on the same date. These studies report a range of results depending on the type of test. However, the bulk of the evidence indicates either no relationship or a negative relationship, which is once again inconsistent with the Masters Hypothesis. Overall, this growing body of literature fails to find compelling evidence that buying pressure from commodity index investment in recent years caused a massive bubble in agricultural futures prices. The Masters Hypothesis is simply not a valid characterization of reality.     

The future of agriculture and society in Iowa: four scenarios

Iowa is a leader in crop and livestock production, but its high productivity has had concomitant negative environmental and societal impacts and large requirements for fossil-fuel-derived inputs. Maintaining agricultural productivity, economic prosperity and environmental integrity will become ever more challenging as the global demand for agricultural products increases and the resources needed become increasingly limited. Here we present four scenarios for Iowa in 2100, based on combinations of differing goals for the economy and differing energy availability. In scenarios focused on high material throughput, environmental degradation and social unrest will increase. In scenarios with a focus on human and environmental welfare, environmental damage will be ameliorated and societal happiness will increase. Movement towards a society focused on human and environmental welfare will require changes in the goals of the economy, whereas no major changes will be needed to maintain focus on high throughput. When energy sources are readily available and inexpensive, the goals of the economy will be more easily met, whereas energy limitations will restrict the options available to agriculture and society. Our scenarios can be used as tools to inform people about choices that must be made to reach more desirable futures for Iowa and similar agricultural regions.     

How to Understand High Food Prices

Agricultural price booms are better explained by common factors than by market‐specific factors such as supply shocks. A capital asset pricing model‐type model shows why one should expect this and Granger causality analysis establishes the role of demand growth, monetary expansion and exchange rate movements in explaining price movements over the period since 1971. The demand for grains and oilseeds as biofuel feedstocks has been cited as the main cause of the price rise, but there is little direct evidence for this contention. Instead, index‐based investment in agricultural futures markets is seen as the major channel through which macroeconomic and monetary factors generated the 2007–2008 food price rises.     

Volatility and Price Jumps in Agricultural Futures Prices—Evidence from Wheat Options

Evidence suggests that agricultural futures price movements have fat-tailed distributions and exhibit sudden and unexpected price jumps. There is also evidence that the volatility of futures prices is time-dependent both as a function of calendar-time (seasonal effect) and time to maturity (maturity effect). This article extends Bates' (1991) jump-diffusion option pricing model by including both seasonal and maturity effects in the volatility specification. Both in-sample and out-of-sample procedures to fit market option prices on wheat futures show that the suggested model outperforms previous published models. A numerical example shows the magnitude of pricing errors for option valuation.