SLIPPAGE AND THE CHOICE OF MARKET OR LIMIT ORDERS IN FUTURES TRADING

Retail futures traders face uncertainty regarding the price they will obtain when trading. This price "surprise," known as slippage, can be substantial. Using unique data from an introducing brokerage for Chicago Board of Trade (CBOT) wheat, corn, and soybean futures contracts, we quantify time-to-clear and the magnitude of slippage. We then identify factors that affect these trade quality measures. Finally, we analyze individual trader choice between market and limit orders and find that the likelihood of placing limit orders, where regulations protect traders from slippage, is greater when order and market characteristic indicate that adverse slippage is likely.     

Formative versus reflective measurement models: Two applications of formative measurement

This paper presents a framework that helps researchers to design and validate both formative and reflective measurement models. The framework draws from the existing literature and includes both theoretical and empirical considerations. Two important examples, one from international business and one from marketing, illustrate the use of the framework. Both examples concern constructs that are fundamental to theory-building in these disciplines, and constructs that most scholars measure reflectively. In contrast, applying the framework suggests that a formative measurement model may be more appropriate. These results reinforce the need for all researchers to justify, both theoretically and empirically, their choice of measurement model. Use of an incorrect measurement model undermines the content validity of constructs, misrepresents the structural relationships between them, and ultimately lowers the usefulness of management theories for business researchers and practitioners. The main contribution of this paper is to question the unthinking assumption of reflective measurement seen in much of the business literature.     

Spatial Economic Analysis in Data‐Rich Environments

Controlling for spatial effects in micro‐level studies of consumer and producer behaviour necessitates a range of analytical modifications. These range from modest changes in data collection and the definition of variables to dramatic changes in the modelling of consumer and producer decision‐making. This paper discusses conceptual, empirical and data issues involved in modelling the spatial aspects of economic behaviour in data‐rich environments. Attention is given to established and emerging agricultural economic applications of spatial data and spatial econometric methods at the micro‐scale. Recent applications of individual and household data are featured, including models of land‐use change at the urban–rural interface, agricultural land values, and technological change and technology adoption.     

U.S. insurance trade

The U.S. has had significant trade deficits in insurance for several years. This paper examines the reasons for such big annual deficits. A large home market, a low reinsurance capacity, and the conservative attitude of U.S. insurers toward foreign markets are identified as the primary contributors to such deficits. The paper also addresses the issue of how U.S. insurers can improve their international competitive position. By expanding their operations abroad, particularly in Mexico and Latin America, and by actively participating in the fast-growing Asian markets, American insurers have their greatest chance to accomplish that objective.     

Foreign Direct Investment,Economic Growth,and the Human Capital Threshold: Evidence from US States*

The United States has experienced a dramatic increase in foreign direct investment (FDI) in recent years. While foreign firms bring immediate benefits of high‐paying jobs, data limitations have prevented detailed study on FDI's long‐term effects on the states receiving it. By creating a new stock measure of FDI based on employment, we are able to capture these long‐term effects. Results demonstrate that FDI has a greater impact on per capita output growth than domestic investment for US states that meet a minimum human capital threshold. Ironically, the most active states in the recruitment of FDI tend to fall below this threshold.     

Insider trading in credit derivatives

Insider trading in the credit derivatives market has become a significant concern for regulators and participants. This paper attempts to quantify the problem. Using news reflected in the stock market as a benchmark for public information, we find significant incremental information revelation in the credit default swap market under circumstances consistent with the use of non-public information by informed banks. The information revelation occurs only for negative credit news and for entities that subsequently experience adverse shocks, and increases with the number of a firm's relationship banks. We find no evidence, however, that the degree of asymmetric information adversely affects prices or liquidity in either the equity or credit markets.     

Local public goods and private suppliers: Musical suburbs replayed

This paper deals with the existence of private market suppliers in a standard local public goods model. The result of this modification can be a cycling process instigated by rich households rather than poor households. The theoretical model provides empirical implications for capitalization studies and policy implications for the provision and financing of local public goods including education.     

Do What Consumers Say Matter? The Misalignment of Preferences with Unconstrained Ethical Intentions

Nearly all studies of consumers’ willingness to engage in ethical or socially responsible purchasing behavior is based on unconstrained survey response methods. In the present article we ask the question of how well does asking consumers the extent to which they care about a specific social or ethical issue relate to how they would behave in a more constrained environment where there is no socially acceptable response. The results of a comparison between traditional survey questions of “intention to purchase” and estimates of individuals willingness-to-pay for social attributes in products reveal that simple survey questions are too “noisy” to provide operationally meaningful information and overstate intentions to a considerable extent. Pat Auger is Associate Professor at the Melbourne Business School. Timothy M. Devinney is Professor and Professorial Research Fellow at the Australian Graduate School of Management.