Estimating the Structure of Market Reaction to News: Information Events and Lumber Futures Prices

We develop a new event-study technique, the distributional event response model (DERM), appropriate to relatively slowly evolving information events. We apply the model to twelve years of daily lumber futures prices and analyze the effects of three different types of information releases: ( a ) monthly housing starts estimates, ( b ) aperiodic administrative and judicial announcements about U.S.–Canada trade disputes, and ( c ) novel and unprecedented court decisions related to the Endangered Species Act (ESA). The information releases are different in ways that predict their relative speeds of impoundment in prices. We find that housing start events are absorbed more quickly than trade events, which are absorbed more quickly than ESA events.     

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.     

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.     

Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets

Using price discovery measures, including Putniņš’ (2013) information leadership share and intraday data, we quantify the proportional contribution of nearby and deferred contracts in price discovery in the corn and live cattle futures markets. On average, nearby contracts reflect information more quickly than deferred contracts in the corn market, but have a relatively less dominant role in the live cattle market. In both markets, the nearby contract loses dominance when its relative volume share dips below 50%, which typically occurs when the nearby is close to maturity. Regression results indicate that the share of price discovery is mainly related to trading volume and time to expiration in both markets. In the corn market, price discovery share between nearby and deferred contracts is also related to inverse carrying charges, crop year differences, USDA announcements, market crashes, and commodity index position rolls. Differences between corn and live cattle markets are consistent with differences in the contracts’ liquidity and commodity storability.     

Surprise and dispersion: informational impact of USDA announcements

We examine the role of information asymmetry on changes in bid‐ask spreads during major United States Department of Agriculture (USDA) announcements. Our analyses, using corn, wheat, and soybean futures, indicate that information asymmetry is significantly higher on USDA announcement days compared to nonannouncement days. We further observe that the increased information asymmetry prior to news announcements is mainly driven by the divergence in private information possessed by market participants. However, once the USDA news is released, not only the dispersion in investors’ private information but also the surprises in news announcements contribute to increased information asymmetry and widening of bid‐ask spreads.     

利用CEM木材期货规避针叶材进口价格风险的可行性分析——基于月度统计数据的实证分析

CEM木材期货以产自北美的SPF锯材为合同标的物。过去一直认为CEM木材期货价格对中国的木材价格不产生影响,但是协整分析表明,滞后3个月的CEM木材期货价格与2012年5月以来的针叶原木进口价格之间存在长期均衡关系,说明CEM木材期货价格是针叶原木进口价格的格兰杰原因。考虑到进口针叶原木价格与中国木材市场价格综合指数高度相关,木材进口企业利用CEM木材期货规避针叶材进口中的价格风险是可行的。     

Assessing the Financial Performance of Forestry-Related Investment Vehicles: Capital Asset Pricing Model vs. Arbitrage Pricing Theory

Capital asset pricing model (CAPM) and arbitrage pricing theory (APT) are used to assess the financial performance of eight forestry-related investment vehicles. Although results from APT support previous findings from CAPM about timberland investments, three bodies of evidence show that APT findings are more robust. The major conclusions are (a) institutional timberland investments and timberland limited partnerships have a low risk level and excess returns; (b) forestry industry companies have not earned risk-adjusted returns, and the performance of medium forest industry firms is worse than that of large firms; (c) stumpage price does not resemble the return generation process of timberland investments; and (d) lumber futures have little excess return.     

Do Futures Benefit Farmers?

Simulations are used to analyze welfare and market- and farm-level effects of making futures available to producers of a storable commodity. Key features of the model are the explicit consideration of dynamic impacts due to inventories, and of aggregate market effects associated with futures adoption by some producers. Application to the natural rubber market shows that futures availability can lead to sizable market- and farm-level effects. Futures availability enhances consumer welfare, reduces nonadopter welfare, and yields important welfare gains for adopters when their market share is small and welfare losses when they account for a sufficiently large market share.     

Price discovery in a private cash forward market for lumber

Cash forward contracting is a common, and often preferred, means of managing commodity price risk in many industries. Despite this, little is known about the performance of cash forward markets, in particular the role they play in price discovery. The US lumber market provides a unique case for examining this issue. The Bloch Lumber Company maintains an active cash forward market for many lumber products, and publishes benchmark forward prices on their website and disseminates these prices to data vendors. Focusing on 2×4 random lengths lumber and 7/16 oriented strand board, this research examines the lead–lag relationships between the 3-month forward prices published by Bloch Lumber, representative spot prices, and lumber futures prices at the Chicago Mercantile Exchange. Results suggest that at least for 2×4 random lengths lumber, the forward prices published by Block Lumber lead both the spot price and futures price, suggesting that this private cash forward market provides some level of price discovery in the lumber markets.     

Ride the trend: Is there spread momentum profit in the US commodity markets?

Some previous researchers have argued that trading strategies based on calendar spread time series momentum (STSM) can deliver significant returns (Szymanowska et al. 2014; Boons and Prado 2019), which, if true, is at odds with the efficient market hypothesis. These arguments however, do not exclude the unrealisable futures contract roll yield and are also affected by other empirical and statistical issues that may lead to misleading results. With more than 30 years of data, we investigate STSM in 22 US commodity futures markets. First, we assess whether past spread returns can predict future returns, a necessary condition for the existence of momentum. We find predictability to be very weak after correcting for the issues affecting prior research. Second, we implement STSM-based investment strategies. We compare STSM profits for individual markets and portfolios to profits generated by a simple long-only benchmark strategy that does not require any predictability. STSM does not generate returns statistically different from the benchmark trading strategy, with both strategies generating very low or negative returns. For the momentum to outperform the benchmark strategy, predictability should be three times larger than observed from real data, but would entail substantial downside risk. In sum, the empirical evidence indicates that returns from STSM-type strategies are illusive for the commodities and period studied. Our results strongly suggest that inclusion of unrealisable roll yield generates the illusion of profitable STSM trading strategies in previous research.     

The roles of risk preferences,selection, and uncertain returns on land contracts

Using panel data on a statistically representative sample of Iowa farmland parcels from 1997 to 2017, we analyze the factors determining whether land is farmed by the owner or rented out under a cash rent or crop share contract. The landowner's decision to rent or operate the land depends on the distribution of expected net returns to the land, and so estimates of the factors affecting rental terms will be biased if the sample only includes rental contracts and excludes the owner-operator. Land with higher mean and/or lower variance of expected net returns is most likely to be rented out. Participants in the rental market will include the most risk-averse landowners and the least risk-averse tenants, while the least risk-averse landowners operate their own land. Our empirical results suggest that the rising use of cash rent contracts and declining incidence of owner-operation and crop-share rental contracts is consistent with falling coefficient of variation in expected net returns per acre.     

Forecast Encompassing as the Necessary Condition to Reject Futures Market Efficiency: Fluid Milk Futures

The traditional necessary condition for futures market inefficiency is the existence of alternative forecasting methods that produce mean squared forecast errors smaller than the futures market. Here, a more exacting requirement for futures market efficiency is proposed—forecast encompassing. Using the procedure of Harvey and Newbold , multiple forecast encompassing is tested using Chicago Mercantile Exchange fluid milk futures. Time series models and USDA experts provide competing forecasts. Results suggest milk futures do not encompass the information contained in the USDA forecasts at a two-quarter horizon. While the competing forecasts generate positive revenues, it is unlikely that returns exceed transaction costs in this relatively new market.     

Comovement of dairy product futures and firm value: returns and volatility

This study investigates the exposure of dairy firm stock prices to the prices of dairy product futures, in terms of returns and volatility, from May 2013 to April 2018. Stock price returns are regressed against an index of the futures price returns to four dairy products – milk, cheese, butter and dry whey – to isolate the effects of the dairy futures price returns. Dairy product futures price returns are found to be significant in the regression in the first three years of the sample period, with a mean coefficient of ?0.024. Using the Diebold‐Yilmaz volatility spillover method of forecast error variance decomposition, we show that the volatility of the four dairy product futures accounted for an average of 5.49 per cent of the volatility of dairy stock prices. These results suggest that the prices of dairy firms have minimal exposure to dairy product futures prices. This has implications for dairy firms and investors, who seek to understand volatility and returns in the dairy products and the stocks they trade in, and for policymakers, who seek to control or mitigate undesirable dairy product price volatility.     

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.     

The Role of Farmer's Behavioral Attitudes and Heterogeneity in Futures Contracts Usage

The relationship between farmers' behavioral attitudes and use of futures contracts is examined, taking into account non-directly observable variables and the heterogeneity of farmers. The relationships are tested on a stratified data sample of 440 farmers. Cluster analysis and covariance structure equation models are used to validate the relationships. Farmers are found not to be homogenous regarding the factors influencing their use of futures. Heterogeneity at the segment level masked important effects at the aggregate level, notably risk attitude. Furthermore, several psychological constructs for farmers related to market orientation, risk exposure, market performance and entrepreneurial behavior play important roles in their use of futures contracts.     

Hedging Opportunities for Canadian

The unprecedented commodity price volatility in the last decade has resulted in a growing interest in futures trading by farmers. One of the major reasons often provided for the usefulness of commodity futures markets is that they provide a mechanism whereby producers can shift the risk of price change onto others. Interestingly, little research has been conducted on the effectiveness of the WCE as a hedging tool for farmers.
The objective of this paper was to investigate the extent to which the futures contracts for rapeseed, barley and flaxseed can be used by farmers in order to reduce price risk (measured by volatility). Drawing on earlier literature, the theory of hedging was reviewed and formulae for estimating the optimal hedge and the effectiveness of hedging were presented. An empirical analysis determined that the Winnipeg rapeseed, barley and flaxseed futures contracts are very useful in terms of allowing a producer the opportunity to reduce exposure to price risk.     

Measuring the functional efficiency of agricultural futures markets

This article presents a method for measuring the functional efficiency of agricultural futures markets in terms of social welfare using a standard futures market structural model. Employing the concept of social surplus, it can be shown that, when futures prices are used to estimate future spot prices, the errors in prediction produce to some degree resource misallocation, which in turn results in welfare losses. Therefore, the social welfare associated with the presence of futures markets can be measured using a Social Loss index. The indicator was calculated for the period 1975–2015 and for several subperiods, which allow us to analyse functional efficiency before and after the 2007–2008 spikes in the prices of agricultural commodities. Futures contracts for 12 products are evaluated. The products are grouped in three different categories: ‘soft products’, ‘livestock’ and ‘grains and oilseeds’. The results indicate that livestock contracts tended to be more efficient than the rest of the contracts during the whole period, but in 2008–2015 their efficiency decreased vis‐á‐vis the rest of the products. Nevertheless, 2008–2015 proved to be the most efficient subperiod, confirming the remarkable development of agricultural futures markets over time.     

Optimal Hedging Ratios for Wheat and Barley at the LIFFE: A GARCH Approach

Over 100,000 futures contracts for cereals are traded annually on the London International Financial Futures Exchange. The proportion of the spot position held as futures contracts ‐ the hedging ratio ‐ is critical to traders and traditional estimates, using OLS, are constant over time. In this paper, we estimate time‐varying hedging ratios for wheat and barley contracts using a multivariate generalised autoregressive conditional heteroscedasticity (GARCH) model. Results indicate that GARCH hedging ratios do change through time. Moreover, risk using the GARCH hedge is reduced significantly by around 4 per cent for wheat and 2 per cent for barley relative to the no hedge position, and significantly by around 0.2 per cent relative to the constant hedge. The optimal, expected utility‐maximising, and the risk‐minimising hedging ratios are equivalent.     

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.     

Could packers manipulate spot markets by tying contracts to futures prices? And do they?

Some producers, policy makers, and researchers claim that packers influence cash prices through contracts tied to futures prices. This paper provides a theoretical and empirical study on the price effects of contract-pricing terms linked to futures price and the related formula pricing terms linked to a cash price. We show that contract-pricing terms tied to a cattle futures price can theoretically be used to reduce the cash price. Furthermore, the model demonstrates that such tied-to-a-futures-price contract-pricing clauses and the related tied-to-a-cash-price formula pricing clauses can be substitutable tools for packers to depress the cash cattle price. Nevertheless, although empirical results are consistent with the predictions of the theoretical model they show that while such manipulations may occur, their market power impact appears quite small.