Strategic order splitting,order choice,and aggressiveness: Evidence from the Taiwan futures exchange

We investigate the strategic order‐splitting behavior and order aggressiveness of different types of traders using a unique dataset on the Taiwan Futures Exchange. By examining the trades and orders for each and every account, we find that, as compared with domestic institutional traders and individual traders, foreign institutional traders and futures proprietary firms are more likely to split their orders and it appears that the price adjustments after their trades are permanent. Foreign institutional traders and futures proprietary firms seem to be better informed, with their orders apparently being split so as to reveal their information on a gradual basis. Furthermore, we find that foreign institutional traders and futures proprietary firms use fewer market orders, choosing instead to submit aggressive limit orders, possibly due to their desire to make the most of their information advantage. © 2009 Wiley Periodicals, Inc. Jrl Fut Mark 29:1102–1129, 2009     

Leadership,Creative Problem‐Solving Capacity,and Creative Performance: The Importance of Knowledge Sharing

This article presents two studies that examine whether leader supportive behaviors facilitate knowledge sharing and employee creative problem‐solving capacity, thereby enhancing creative performance. The findings from both studies indicate that leader supportive behaviors are directly and indirectly related, through both internal and external knowledge sharing, to employee creative problem‐solving capacity. In addition, creative problem solving was related to the two dimensions of creative performance—fluency and originality. However, a test of the mediation model indicated that creative problem solving only mediated the relationship between internal knowledge sharing creative performance and originality. These findings highlight the complex process by which leaders facilitate both internal and external knowledge sharing and employee creative problem‐solving capacity, thereby improving employee creative performance.     

Dynamics of judicial service supply chains

Behavioral issues, coupled with temporary capacity imbalances, dictate the characteristics that a service supply chain assumes in the long run. The paper looks at a service chain in which two factors, backlogs and incentives, influence human agent processing times and, hence, service supply chain capacity. The paper finds that servers within the supply chain change their processing speeds in order to maintain a backlog of cases that is acceptable and credible. The backlog must not be too small, so as to avoid the impression that work is scant and there is idleness; but it must not be too large, so as to avoid the impression of laziness. Simultaneously, the paper finds that there are implicit incentives in the formal hierarchy that impinge upon throughput rates at certain stages of the supply chain: agents upstream try not to overwhelm their bosses' stations downstream with excess work. Hence, this paper looks at the effects of perceived backlogs within service supply chains and also at capacity unbalances that stem from such incentives. The study explores these issues in the context of a managerial intervention in a judicial service supply chain. The study identifies the structure of a seemingly unstructured decision execution that leads to the observed outcomes. The research results in a preliminary system dynamics model that suggests several operational steps to overcome bottlenecks and incompetency.     

Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks

Corporate bankruptcy prediction has attracted significant research attention from business academics, regulators and financial economists over the past five decades. However, much of this literature has relied on quite simplistic classifiers such as logistic regression and linear discriminant analysis (LDA). Based on a large sample of US corporate bankruptcies, we examine the predictive performance of 16 classifiers, ranging from the most restrictive classifiers (such as logit, probit and linear discriminant analysis) to more advanced techniques such as neural networks, support vector machines (SVMs) and “new age” statistical learning models including generalised boosting, AdaBoost and random forests. Consistent with the findings of Jones et al. ( 2015 ), we show that quite simple classifiers such as logit and LDA perform reasonably well in bankruptcy prediction. However, we recommend the use of “new age” classifiers in corporate bankruptcy modelling because: (1) they predict significantly better than all other classifiers on both the cross‐sectional and longitudinal test samples; (2) the models may have considerable practical appeal because they are relatively easy to estimate and implement (for instance, they require minimal researcher intervention for data preparation, variable selection and model architecture specification); and (3) while the underlying model structures can be very complex, we demonstrate that “new age” classifiers have a reasonably good level of interpretability through such metrics as relative variable importances (RVIs).     

Nontraded Goods and Real Exchange Rates in a Multi‐Good Ricardian Model

The two‐country Ricardian trade model with discrete goods and uniform transport costs for tradable goods is applied to the decomposition of the real exchange rate into traded and nontraded components. The real exchange rate is driven almost entirely by changes in the productivity differentials in nontraded goods and also explains the Balassa–Samuelson effect of a lower cost of living in poor countries, but extraordinary transport costs for some nontraded goods are necessary to easily explain the Balassa–Samuelson effect.     

Transitions to low carbon transport futures: strategic conversations from London and Delhi

Climate change is a global problem and across the world there are major difficulties being experienced in reducing carbon dioxide (CO₂) emissions. The transport sector in particular is finding it difficult to reduce CO₂ emissions. This paper reports on two studies carried out by the authors in London (UK) and Delhi (India). It considers the common objectives for transport CO₂ reduction, but the very different contexts and baselines, potentials for change, and some possible synergies.Different packages of measures are selected and scenarios developed for each context which are consistent with contraction and convergence objectives. CO₂ reduction potentials are modelled and quantified by package and scenario. London is considering deep reductions on current transport CO₂ emission levels; Delhi is seeking to break the huge projected rise in transport CO₂ emissions.The scale of policy intervention required to achieve these goals is huge and there is certainly little public discussion of the magnitude of the changes required. The paper argues for a ‘strategic conversation’ at the city level, using scenario analysis, to discuss the priorities for intervention in delivering low carbon transport futures. A greater focus is required in developing participatory approaches to decision making, alongside network investments, urban planning, low emission vehicles and wider initiatives. Aspirations towards equitable target emissions may assist in setting sufficiently demanding targets. Only then is a wider awareness and ownership of potential carbon efficient transport futures likely to take place.     

Does mandatory food safety training and certification for restaurant employees improve inspection outcomes?

The purpose of this study was to explore the relationship between mandatory food safety training and certification and inspection results of chain restaurants and independent restaurants, using current food safety inspection results of food service establishments in Central Florida. More specifically, this study examines whether there is any statistically significant difference in the violation frequency among chain and independent restaurants. Reducing the risk of any foodborne illness is a critical strategy that industry stakeholders should pursue in an area dominated by tourism such as Orlando, Florida. A one-way ANOVA was used to determine the differences between the two types of restaurants. Findings indicate that there is significant difference between chain and independent restaurants for critical violations. No difference was found when comparing chain verses independent restaurants for non-critical violations.     

Exchange rate determination: a theory of the decisive role of central bank cooperation and conflict

Economists’ faith that variable exchange rates benevolently equilibrate has been empirically disconfirmed. That faith is here tackled at its theoretical core with an exchange rate model that although ultra abstract, includes the undeniable fundamentals of market power and differential goals of central bankers and large-scale private players. It permits a game theoretic analysis under the assumption that all agents maximize their payoffs. The paper then relaxes the assumption of maximising agents, allowing for a more complex and thus realistic second version of the model that is interpretable within SKAT, the Stages of Knowledge Ahead Theory of risk and uncertainty. In an experimental setting, this second version of the model points to: a) the inability of agents in central banks, governments and the private real and financial sectors to operate in maximising ways; b) destructive central bank conflict; and c) the widely discrepant outcomes arising from the dynamics of individual personality differences. The paper’s theoretical and empirical findings thus both point to the merits of a single world currency.     

Media,Education and Corruption: Investigating the Associations

We study the interactive association of press freedom, access to media and education with a nation's corruption levels. A free press generates unbiased information that greater access to the media helps propagate; and a greater degree of education, in the same context, helps individuals apply that information. This entire process generates a vigilant and corruption‐free economy. It is therefore important to consider these factors in conjunction.