ESTIMATING SOURCES OF FLUCTUATIONS IN THE AUSTRALIAN WOOL MARKET: AN APPLICATION OF VAR METHODS

Vector autoregression (VAR) methods are used to analyse the contribution of supply, demand and policy shocks to unpredictable fluctuations in the market for Australian wool. VAR procedures are compared with conventional structural econometric models as methods for decomposing sources of instability. While each has advantages and disadvantages, VAR procedures might be viewed as preferable when the underlying market structure is complex and uncertain, as it is in the case of wool. Based on the results obtained, demand shocks are the dominant source of uncertainty in the wool market in the absence of Australian Wool Corporation intervention, but intervention has blunted their effects, reducing market uncertainty and increasing the average level of prices and revenues.     

Commodity Prices and Unit Root Tests

Price theory suggests that commodity prices should be stationary series. Yet, tests for unit roots rather frequently imply that these prices are not stationary. This seeming inconsistency is investigated by applying alternative specifications of unit root tests to prices of corn, soybeans, barrows and gilts, and milk. The preponderance of evidence suggests that nominal prices do not have unit roots, but the results are sensitive to the specification of the test equation. Accounting for a structural change that shifts the mean appears to be an important issue in unit root tests.     

ESTIMATING THE VALUE OF DELIVERY OPTIONS IN FUTURES CONTRACTS

We analyze the effect various delivery options embedded in commodity futures contracts have on the futures price. The two embedded options considered are the timing and location options. We show that early delivery is always optimal when only a timing option is present, but not so when joint options are present. The estimates of the combined options are much smaller than the comparable estimates for the timing option alone. The average value of the joint option is about 5% of the average basis on the first day of the maturity month. This suggests that joint options can increase deliverable supplies while potentially having only a small effect on basis behavior.     

How much of commodity price behavior can a rational expectations storage model explain?

A rational expectations competitive storage model was applied to the U.S. corn market, to assess the aptness of this framework in explaining monthly price behavior in an actual commodity market. Relative to previous models, extensive realism was added to the model, in terms of how production activities and storage costs are specified. By modeling convenience yield, “backwardation” in prices between crop years did not depend on the unrealistic assumption of zero ending stocks. Our model generated cash prices that were distributed with positive skewness and kurtosis, and mean and variance that increased over the storage season, comparable to the persistence and the occasional spikes observed in commodity prices. Futures prices were generated as conditional expectations of cash prices at contract maturity, and the variances of futures prices exhibited realistic time–to‐maturity and seasonal patterns. Model realizations of cash and futures prices over many “years” were used to demonstrate the wide variety of price behaviors that could be observed in an efficient market with a similar market structure, implying that economic and policy implications drawn from short, historical samples of prices could be misleading.     

Risk Management in Agricultural Markets: A Review

This article surveys and evaluates the current state of knowledge about producers' marketing strategies to manage price and revenue risk for farm commodities. The review highlights gaps between concepts and their implementation. Many well‐developed models of price behavior exist, but appropriate characterization and estimation of the probability distributions of commodity prices remain elusive. Hence, the preferred measure of price risk is ambiguous. Numerous models of optimal marketing portfolios for farmers have been specified, but their behavior appears to be inconsistent with most, if not all, of these models. In addition, some research suggests that farmers can earn speculative profits, which is inconsistent with notions of efficient markets. The conclusions discuss what academic research can and cannot accomplish in relation to assisting producers with risk‐management decisions. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:953–985, 2001     

Process principle- The way to company＇s competitiveness

Seeking ways to increase company＇s competitiveness under current economic and social conditions brought us to investigate internal and external barriers. These reflect contradictions between participants to creation of company＇s output both in internal and external value creation process. These contradictions were identified and their causes are determined. That requires also considering about the trends that are characteristic of the current development in marketing where versatile development of customer orientation dominates. The general governing principle of overcoming the barriers to the growth of company＇s competitiveness is applied by the process approach in organisation and management. The mater is namely using the potential of supply chain management, as well as product and manufacture management, last but not least systematic creation of customer value with the objective of creating a loyal customer and employee.