Contract modifications and the basis behavior of live cattle futures

The purpose of this study was to assess the basis behavior of the Live Cattle Futures contract at the Chicago Mercantile Exchange (CME) before and after the 1995 contract changes. Additionally, an alternative method of basis calculation utilizing weighted mean futures prices versus settlement futures prices was compared to determine which method provides a better representation of the basis level. Within a regression model with heteroskedascity error framework, we found that the level of nearby basis in the period after June 1995 has shifted lower and the average monthly open interest of net commercial long positions has substantially increased after the contract modifications. These empirical results are consistent with the notion that more long activity entered the market in response to the contract modifications. Additionally, an alternative (new) measure of basis calculation (cash price minus weighted mean futures price) produced similar results to two other commonly used measures. In conclusion, the 1995 contract changes have neither increased nor decreased the volatility of live cattle basis. © 2004 Wiley Periodicals, Inc. Jrl Fut Mark 24:557–590, 2004     

STRATEGIC ORIENTATION,CAPABILITIES, AND PERFORMANCE IN MANUFACTURER — 3PL RELATIONSHIPS

This study examines how two dimensions of strategic orientation (customer and competitor orientation) influence logistics and market performance. Two capabilities, operational flexibility and collaboration, are studied. Data were collected from manufacturers working with third party logistics providers. The findings suggest that customer and competitor orientations have different influences upon performance when leveraged through the capabilities. Competitor orientation, while having a detrimental direct effect on logistics performance, appears to be the better strategic approach, when supported with operational flexibility since it results in enhanced logistics (efficiency) and market (effectiveness) performance. Customer orientation, on the other hand, greatly improves logistics performance, i.e., internal efficiency.     

CATALOG RETAILER IN‐STOCK PERFORMANCE: AN ASSESSMENT OF CUSTOMER SERVICE LEVELS

The purpose of this article is to study the level of “in‐stock” customer service performance being offered in the catalog channel of distribution. The article provides benchmark information for the catalog industry. More importantly, the article serves as one test of the effectiveness of the modern supply chain, where the expectation is for near perfect orders. Customer service levels are studied by using an empirical observation methodology in which catalog retailer's in‐stock performance was measured. Comparisons are made across item type, season, retailer type, and days from catalog receipt. Overall, items were out‐of‐stock during 15.9% of all checkpoints, compared to an 11.8% stock‐out rate in an earlier study of bricks and mortar retailers.     

Building Brands through Brand Alliances: Does a Second Ally Help?

Several papers have been published demonstrating the positive effects a single, reputable ally has on evaluations of a focal brand. Interestingly, little research has been published examining the effects of multiple brand allies. We examine the effect of an alliance with two, one, or zero well-known brand allies on evaluations of a previously unknown focal brand. The presence of a single brand ally significantly increased perceived quality and hedonic and utilitarian attitudes. While multiple alliances improved focal brand evaluations relative to the no ally condition, the second ally did not increase evaluations relative to the single ally condition.     

EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.     

The structure of marketing channel relationships

Distribution channel research has been advanced in recent years by contributions based on the political economy paradigm, transaction cost analysis, and relationship marketing. Drawing on these bodies of thought, we propose a new conceptualization of the structure of marketing channel relationships. Relationship structure is defined in terms of decision-making structure and operational integration. The proposed model of channel structure antecedents and consequences is consistent with the major research paradigms but extends beyond simple categorical assemblages of constructs to provide an ordered set of relationships based on theory and empirical research. This conceptualization reconciles some apparent contradictions in the literature and provides a clear focus for structure, process, and performance research in channels. He received his Ph.D. in marketing from Louisiana State University. He has published in the areas of marketing channels, retailing, and logistics. His work has appeared in theJournal of Marketing Research, Journal of Marketing, Journal of Retailing, Journal of Business Research, Journal of Marketing Channels, International Journal of Physical Distribution and Materials Management, Journal of Marketing Education, and others. He served as the managing director of public relations with the Federal Express Corporation before entering the Ph.D. program at Alabama. He holds a B.B.A. in accountancy from the University of Mississippi and an M.A. in marketing from the University of Alabama.     

HEDGING INTEREST RATE RISK UNDER TERM STRUCTURE EFFECTS: AN APPLICATION TO FINANCIAL INSTITUTIONS

In this paper we investigate the use of the structured full rank model for hedging the balance sheet of a financial institution. Simulation results suggest that the optimal hedge is insensitive to changes in parameter estimates. In addition, we hedge a portfolio of Treasury bills using both the full information covariance matrix and the structured covariance matrix. We then contrast these results with those obtained from a duration-based model. Empirical results suggest that the structured full rank model is generally more effective in hedging applications than either the full information model or duration-based model.