Inventory and the Stock Market

About inventory models, a concern is 'often made [that] any resemblances between the models constructed and reality are purely coincidental.' One set of factors not usually considered in textbook models of inventory decisions is suggested by well-documented evidence in macroeconomics, that the stock market affects investment decisions. Does the stock market also affect inventory decisions, and how? I study four hypotheses. The first is that the market could be a side-show, with no impact on firms' decisions. The second is that the market influences inventory decisions via a financing channel. When the market over-values firms, firms can get easier and cheaper financing, and tend to increase their inventory. The third is a dissipation channel. When the market over-values firms, firms are less disciplined and let inventories rise. The last is a catering channel. When the market discounts high-inventory firms, firms decrease their inventory, and vice versa. I report evidence that rejects the first, weakly supports the second and third, and strongly supports the fourth hypotheses. This evidence contributes to an emerging area for empirical research, at the intersection of finance and operations management.inventory, stock market, sentiment, operations management

Everyday classroom teaching practices for self-regulated learning

This study investigated everyday classroom teaching that provides opportunities for young adolescent students to self-regulate their learning. Evidence drawn from literature in the field of self-regulated learning (SRL) underpins this investigation that was focused on the transition years from primary school to secondary school. Research was conducted in Australia as dual case studies, with data collected through semi-structured interviews and classroom observations from eight teacher participants. The data were analysed through the lens of a conceptual framework that aligns the findings with the fundamentals for SRL. The four themes generated are best understood as teaching approaches that describe how teachers within social learning environments connect the goal orientated learning with purposeful engagement, facilitate the activation of thinking strategies through instructional support, and diversify learning opportunities that enable an expectation of success. The findings are illustrated by classroom examples of the core practices that influence students' self-regulatory capacity. An outcome of this research is the SRL model that offers a vision for pedagogy to support teacher professional dialogue and learning, and a practical decision-making tool intended to guide teachers to reflect, analyse and tailor practices for their everyday classroom teaching. The paper concludes with some suggestions that provide scope for future research

Modeling Exchange Rates with Incomplete Information

Recent research has shown that relaxing the assumptions of complete information and common knowledge in exchange rate models can shed light on a wide range of important exchange rate puzzles. In this chapter, we review a number of models we have developed in previous work that relax the strong assumptions on information. We also review some related literature.information heterogeneity; learning; infrequent decisions

Developing a conceptual model of marine farming in New Zealand

Survey and Geographic Information System (GIS) data analysis describes the relative influence of biophysical and human variables on site choices made by marine farmers in New Zealand. Community conflicts have grown in importance in determining farm location and different government planning strategies leave distinct signature patterns. Recent legislation empowers local governments to choose among three strategies for future regional aquaculture development. This paper suggests each strategy could result in different spatial outcomes. Simulation modelling of the type described here can provide a better understanding of farmer responses to management approaches and the range of futures that could result from planning choices made today

Predicting Financial Crisis in Developing Economies: Astronomy or Astrology?

In the aftermath of the European currency crisis of 1992-3, the Mexican financial crisis of 1994-5 and the Asian financial crisis of 1997-8, neoclassical economists in the academy and policy community have been engaged in a project to develop predictors or indicators of currency, banking and generalized financial crises in developing economies. This paper critically examines the efforts of the economics profession in this regard on both empirical and theoretical grounds. The paper argues that these predictors perform poorly on empirical grounds--indeed, the predictors developed after each of these crises failed to predict the next major crisis. These predictors are also rejected on theoretical grounds. From a post-Keynesian perspective, there is no reason to expect that the mere provision of information will prevent crises by changing agents' behaviors. The paper will also propose several indicators that are consonant with post-Keynesian economic theory, although it will be argued that these indicators do not represent a sufficient means to prevent financial crisis. Ironically, as agents develop confidence in the predictive capacity of crisis indicators, they may engage in actions that increase the economy's vulnerability to crisis. Far more important to the project of preventing financial crisis in developing economies is the implementation of constraints on those investor behaviors that render liberalized, internationally integrated financial systems inherently prone to instability and crisis. Hence, intellectual capital would be more productively expended on devising appropriate changes in the overall regime in which investors operate (such as measures that compel changes in financing strategies) rather than in searching for new predictors of crisis.Financial Crisis

Systems Analysis as a Decision-Making Tool for the Library Manager

published or submitted for publicatio

Remote sensing training for Corps of Engineering personnel: The university training module concept

A concept to permit Corps of Engineers personnel to obtain and maintain an appropriate level of individual proficiency in the application of remote sensing to water resource management is described. Recommendations are made for specific training courses and include structure and staffing requirements, syllabi and methods of operation, supporting materials, and procedures for integrating information systems management into the University Training Modules