Separation in Cointegrated Systems and Persistent-Transitory Decompositions

The notion of separation in cointegrated systems helps identifying possible sub-system structures that may reduce the complexity of larger systems by yielding a more parsimonious representation of the times series. In this paper we demonstrate that although the subsystem cointegration analysis in such systems can be conducted in case of both completely and partially separated systems, the dual approach, i.e. calculation of the common stochastic trends, may turn out to yield properties of the trends that differ depending upon the type of separation under consideration. In particular, we demonstrate how persistent-transitory (P-T) decompositions and long- and short-memory factorizations of a multivariate time series will interact across systems when considering the presence (or absence) of different types of separation. Generalizations to non-linear error correction models are briefly discussed.     

The hiring of accounting and finance officers from audit firms: how did the market react?

This study investigates the market’s reaction to companies hiring accounting and finance officers directly from their external audit firms—the auditor-to-client hiring practice referred to as the “revolving door.” The Sarbanes-Oxley Act (SOX) eliminated this hiring practice, reflecting concerns that such appointments may impair audit and financial reporting quality. However, it was also argued that companies may have benefited from hiring individuals already familiar with their systems, organization and personnel. To determine the prevalence of this hiring practice and how shareholders viewed these appointments, we examine 3-day cumulative abnormal returns around the announcements of newly appointed accounting and finance officers over the period 1985–2002. We find that the proportion of revolving door hires is relatively low (only 6.1% of all hires in our sample), but that when they did occur the market valued the revolving door appointments more positively than other appointments. Further tests reveal that the positive market reaction to revolving door appointments is driven mainly by smaller companies, and that these appointments are not associated with lower financial reporting quality when assessing subsequent discretionary accruals or the receipt of an Accounting and Auditing Enforcement Release (AAER). Overall, the low frequency of occurrence, investors’ positive perceptions, and the lack of association with deteriorated reporting quality indicate that the SOX restriction on revolving door appointments may have been unnecessary and will do little to protect shareholders.

Property price effects of a national wildlife refuge: Great Meadows National Wildlife Refuge in Massachusetts

The amenity value of proximity to a National Wildlife Refuge (NWR) in central Middlesex County, Massachusetts is estimated and compared to the values of proximity to five other open space types, including agricultural land, cemeteries, conservation land, golf courses, and sport/recreation parks. A hedonic model is used to explore the relationships among residential property values and proximity to these distinct types of open space. Open space characteristics in the empirical model include measures of continuous distance from each property to the nearest open space of each type and an index describing the diversity of open space types within neighborhoods of 100 and 1000 meters around a home. Results reveal that a property located 100 meters closer to the NWR than a neighboring property has a price premium of $984. Further, proximity to the NWR is valued more than proximity to agricultural land, cemeteries, and conservation land. No significant differences are found among the values of proximity to the NWR, golf courses, and sport/recreation parks.     

East Asian capitalism: Towards a normative framework 1

This essay attempts to identify the features of East Asian capitalism that seem, prima facie, to serve desirable social and political purposes while also being compatible with, if not beneficial for, the requirements of economic productivity in an age of intense international competition. It argues that East Asian countries should build on areas of competitive advantage instead of heeding calls to shed all the old ways of doing things in favor of American‐style shareholder capitalism.     

Neural networks in strategic marketing: exploring the possibilities

A review of the literature indicates that few studies have used artificial neural networks (ANNs) for data analysis in business and marketing research, even though there are many benefits to the use of ANNs. Therefore, this article discusses neural networks (NNs) that can be used in addition to or as an alternative to linear regression for data analysis in strategic marketing. The function and layout of NNs make them ideal for research dealing with nonlinear, incomplete, unspecified, or ‘fuzzy’ data and offer several advantages over linear regression. Unfortunately, in many marketing studies, the information being modeled is far from flawless and is often riddled with ambiguities linear regression is insufficient to accurately assess. NNs could be employed for great benefit by researchers analyzing the nonlinear, complex relationships in business data. The article discusses examples of types of studies that could be strengthened or expanded from neural network use.     

Evaluating improvements in irrigation efficiency as a salinity mitigation option in the South Australian Riverland

A modelling framework incorporating relationships between agricultural production and groundwater hydrology was developed to estimate the benefits of improved irrigation efficiency in the Riverland of South Australia. Increased irrigation efficiency can generate external benefits to downstream users through reduced discharge of saline groundwater. In the Riverland these benefits are large in comparison to the direct value of the irrigation water. However, the non-exclusive and site-specific nature of these benefits makes it difficult to fully internalise them through market instruments such as salinity credits. Achieving optimal irrigation efficiency is likely to require institutional arrangements that promote collective investment and public expenditure.