ROBUST ASSET ALLOCATION WITH BENCHMARKED OBJECTIVES

In this paper, we introduce a new approach for finding robust portfolios when there is model uncertainty. It differs from the usual worst‐case approach in that a (dynamic) portfolio is evaluated not only by its performance when there is an adversarial opponent (“nature”), but also by its performance relative to a stochastic benchmark. The benchmark corresponds to the wealth of a fictitious benchmark investor who invests optimally given knowledge of the model chosen by nature, so in this regard, our objective has the flavor of min–max regret. This relative performance approach has several important properties: (i) optimal portfolios seek to perform well over the entire range of models and not just the worst case, and hence are less pessimistic than those obtained from the usual worst‐case approach; (ii) the dynamic problem reduces to a convex static optimization problem under reasonable choices of the benchmark portfolio for important classes of models including ambiguous jump‐diffusions; and (iii) this static problem is dual to a Bayesian version of a single period asset allocation problem where the prior on the unknown parameters (for the dual problem) correspond to the Lagrange multipliers in this duality relationship. This dual static problem can be interpreted as a less pessimistic alternative to the single period worst‐case Markowitz problem. More generally, this duality suggests that learning and robustness are closely related when benchmarked objectives are used.     

Valuing traceability of imported beef in Korea: an experimental auction approach*

The major objective of this study is to estimate Korean food shoppers’ willingness to pay (WTP) for imported beef with traceability. We use an experimental elicitation method, the random nth price auction, to identify consumers’ valuation for traceable imported beef. We also analyse the effect of different types of information on these valuations. Results indicate that consumers are generally willing to pay a 39 per cent premium for the traceable imported beef over similar beef without traceability. Results also suggest that in contrast to the insignificant effect of positive information, negative and two‐sided information about traceability significantly reduces WTP.     

Experiments on strategic choices and markets

Much of experimental research in marketing has focused on individual choices. Yet in many contexts, the outcomes of one’s choices depend on the choices of others. Furthermore, the results obtained in individual decision making context may not be applicable to these strategic choices. In this paper, we discuss three avenues for further advancing our understanding of strategic choices. First, there is a need to develop theories about how people learn to play strategic games. Second, there is an opportunity to enrich standard economic models of strategic behavior by allowing for different types of bounded rationality and by relaxing assumptions about utility formulation. These new models can help us to more accurately predict strategic choices. Finally, future research can improve marketing practice by designing better mechanisms and validating them using experiments.     

Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies

Various theories have been proposed to explain momentum in stock returns. We test the gradual-information-diffusion model of Hong and Stein (1999) and establish three key results. First, once one moves past the very smallest stocks, the profitability of momentum strategies declines sharply with firm size. Second, holding size fixed, momentum strategies work better among stocks with low analyst coverage. Finally, the effect of analyst coverage is greater for stocks that are past losers than for past winners. These findings are consistent with the hypothesis that firm-specific information, especially negative information, diffuses only gradually across the investing public.     

A PROFILE OF DOCTORAL DISSERTATIONS IN STRATEGIC MANAGEMENT: A NOTE*

A study of 88 randomly selected strategy-related dissertations was conducted to develop a statistical profile of dissertations in the strategic management field. This study also provides some empirical evidence supporting the criticism that the field is fragmented.     

Were In-Process Research and Development Charges Too Aggressive?

Abstract:  Prior research documents that US firms write off large in-process research and development charges (IPRD) for acquisitions, possibly overstating the current period expense to inflate future earnings. Consequently, in 1998, the US Securities and Exchange Commission (SEC) began scrutinizing IPRD charges. We use pre-acquisition R&D expenses of 144 target firms as a benchmark for assessing whether IPRD charges are appropriate. Overall, the results suggest that most firms during our sample period were not overly aggressive in expensing IPRD–especially for acquisitions subsequent to the SEC's scrutiny. The results also indicate that the SEC's intervention reduced the frequency of overstated IPRD charges.     

GDP Growth Rates Calculated from Quarterly National Accounts: Discrepancies and Revisions

The differences between income-based and expenditure-based rates of real GDP growth are examined. The extent to which initial growth rates are subsequently affected by data revisions is documented. Results of regressions of first reported growth rates on the growth rates reported in QNA June 1985 are presented for three samples - the sample of income-based estimates of GDP growth rates, the sample of expenditure-based estimates and the sample of mean rates (average of the two estimates).     

The Effect of Multiknowledge Individuals on Performance in Cross‐Functional New Product Development Teams*

This study examines the effect of multiknowledge individuals (especially those possessing both marketing and technological knowledge) on performance in cross‐functional new product development teams. A survey of 62 cross‐functional teams shows that the proportion of multiknowledge individuals has an indirect positive effect through information sharing on product innovativeness and a direct positive effect on time efficiency of new product development teams.     

Chromosomes and the Slutsky Equation: Lessons from 21st Century Genetics for 20th Century Economics

Reductionist scientific methodology has been at the forefront of economics research for much of the past 50 years. This short essay argues that recent discoveries in genetic engineering show that the study of complex phenomena might not be best served by such an approach, but rather by one that takes into consideration more evolutionary approaches. This provides a tremendous opportunity for the field of bioeconomics to establish itself as a major school of though, going into the future.