Prices of deep discount bonds and the Revenue Act of 1978: An evaluation of market response

This article explores the market response of deep discount corporate bonds to the reduction in the capital gains tax rate incorporated into the Revenue Act of 1978. Such tax change should have increased the desirability of assets acquired for capital gains potential, such as deep discount bonds. Examining a time series of prices and returns for a sample of deep discount corporate bonds and a control group of comparable duration and credit risk corporate bonds selling at or near par did indeed provide evidence of a market price reaction. Moreover, the price changes for the deep discount bonds occurred well in advance of the implementation of the tax change.     

A content analysis of ethical policy statements regarding marketing activities

Many large corporations now have written codes of ethics to guide the business/marketing activities of employees. The purpose of this study was to determine the frequency and types of topics which are covered in the ethics policy statements of large U.S. corporations. The results indicated that the topics covered most often (respectively) were: misuse of funds/improper accounting, conflicts of interest, political contributions, and confidential information. It is concluded that in addition to written ethics policy statements, top management should communicate ethical values and demonstrate by example. Robert E. Hite (Ph.D. University of Arkansas) is Associate Professor of Marketing at Kansas State University. His textbook is entitled Managing Salespeople, and his articles have appeared in such journals as the Journal of Advertising Research, Journal of Business Research, Journal of the Academy of Marketing Science, and Industrial Marketing Management. Joseph A. Bellizzi (Ph.D. University of Nebraska) is Associate Professor of Marketing at Kansas State University. He was previously employed by Hilti Fastening systems as a Market Research analyst. His articles have appeared in such journals as the Journal of Business Research, Journal of Advertising Research, and Journal of Retailing. Cynthia Fraser (Ph.D., University of Pennsylvania) is Associate Professor of Marketing at Kansas State University. Her research interests are international marketing and marketing models. Her articles have appeared in such journals as the Journal of Consumer Research and Industrial Marketing Management.     

The intersection of entrepreneurship and selling: An interdisciplinary review,framework, and future research agenda

Selling is integral to entrepreneurship, yet it has rarely been a focal topic of analysis for entrepreneurship scholars. To address this, we undertake a broad-ranging systematic literature review of research that in some way explores selling within entrepreneurial contexts. We inductively develop a framework that orders extant research into selling antecedents, activities, contexts, and outcomes. Then, drawing on these entrepreneurship-selling intersections, we suggest opportunity theory can be extended by integrating critical insights from selling literatures. In particular, we address ego-centric views of entrepreneurship which prioritize entrepreneurial agency, and advocate for the incorporation of customer agency into synchronized processes of opportunity identification, refinement, and exploitation. The article concludes that a promising avenue for future theory development resides in the study of situated sales interactions, which can serve as an empirical vista to the underexplored entrepreneur-customer nexus.     

Mapping historical and contemporary agrarian transformations and capitalist infiltration in a complex upland environment: A case from eastern Nepal

The relationship that mountain communities have with global capitalism are complex, being mediated by a diverse topography and ecology, both of which provide opportunities for capital accumulation, while also isolating older, “pre‐capitalist” modes of production. This paper takes a case study valley from Nepal's eastern hills, tracing over two centuries of agrarian change and evolving interactions between “adivasi” and “semi‐feudal” economic formations with capitalism. In recent years, the expansion of markets, rising demand for cash, and climate stress have solidified migrant labour as a core component of livelihoods, and the primary mechanism of surplus appropriation from the hill peasantry. Through a focus on three altitudinal zones, however, it is demonstrated how the trajectory of this transformation, including the interactions with persisting pre‐capitalist formations, is mediated by both political–economic processes and the local agro‐ecological context.     

Pension plan solvency and extreme market movements: a regime switching approach

We develop and test a new approach to assess defined benefit (DB) pension plan solvency risk in the presence of extreme market movements. Our method captures both the ‘fat-tailed’ nature of asset returns and their correlation with discount rate changes. We show that the standard assumption of constant discount rates leads to dramatic underestimation of future projections of pension plan solvency risk. Failing to incorporate leptokurtosis into asset returns also leads to downward biased estimates of risk, but this is less pronounced than the time-varying discount rate effect. Further modifying the model to capture the correlation between asset returns and the discount rate provides additional improvements in the projection of future pension plan solvency. This reduces the perceived future risk of underfunding because of the negative correlation between interest rate changes and asset returns. These results have important implications for those with responsibility for balancing risk against expected return when seeking to improve the current poor funding positions of DB pension schemes.     

Numerical Maximisation of Likelihood: A Neglected Alternative to EM?

There is by now a long tradition of using the EM algorithm to find maximum‐likelihood estimates (MLEs) when the data are incomplete in any of a wide range of ways, even when the observed‐data likelihood can easily be evaluated and numerical maximisation of that likelihood is available as a conceptually simple route to the MLEs. It is rare in the literature to see numerical maximisation employed if EM is possible. But with excellent general‐purpose numerical optimisers now available free, there is no longer any reason, as a matter of course, to avoid direct numerical maximisation of likelihood. In this tutorial, I present seven examples of models in which numerical maximisation of likelihood appears to have some advantages over the use of EM as a route to MLEs. The mathematical and coding effort is minimal, as there is no need to derive and code the E and M steps, only a likelihood evaluator. In all the examples, the unconstrained optimiser nlm available in R is used, and transformations are used to impose constraints on parameters. I suggest therefore that the following question be asked of proposed new applications of EM: Can the MLEs be found more simply and directly by using a general‐purpose numerical optimiser?     

House prices, non-fundamental components and interstate spillovers: The Australian experience

Using Australian capital city data from 1984Q3--2008Q2, this paper utilizes a dynamic present value model within a VAR framework to construct time series of house prices depicting what aggregate house prices should be given expectations of future real disposable income - the “fundamental price” - and continues by comparing capital city fundamental prices with actual prices. The extent to which revealed capital city “non-fundamental” components spillover from state to state, as well as their long-term impact is also investigated. Results provide evidence of periods of sustained deviations of house prices from values warranted by income for all state capitals with the greatest deviations arising in the NSW market and starting around 2000. In general NSW is relatively more susceptible to spillovers transmitted from other states while ACT and WA are most isolated from the rest of the country.     

Optimal surveillance against foot‐and‐mouth disease: the case of bulk milk testing in Australia

Previous foot‐and‐mouth disease (FMD) outbreaks and simulation‐based analyses suggest substantial payoffs from detecting an incursion early. However, no economic measures for early detection have been analysed in an optimising framework. We investigate the use of bulk milk testing (BMT) for active surveillance against an FMD incursion in Australia. We find that BMT can be justified, but only when the FMD entry probability is sufficiently high or the cost of BMT is low. However, BMT is well suited for post‐outbreak surveillance, to shorten the length of time and size of an epidemic and to facilitate an earlier return to market.     

Assessing greenhouse gas emissions from electric vehicle operation in Australia using temporal vehicle charging and electricity emission characteristics

ABSTRACT

Significant interest exists in the potential for electric vehicles (EVs) to be a source of greenhouse gas (GHG) abatement. In order to establish the extent to which EVs will deliver abatement, however, a realistic understanding of the electricity and transport sector GHG emissions impacts arising from different approaches to integrating EVs into the power system is required. A key issue in this regard is the extent to which GHG emissions are a function of where and when EV charging will be enabled (or disabled) by the provision of recharging infrastructure and implementation of charging management strategies by the electricity industry. This article presents an investigation of the GHG emissions arising from electricity and gasoline consumption by plug-in hybrid EVs under a range of standard EV-power system integration scenarios. An assessment framework is presented, and GHG emissions from EV use are assessed for the New South Wales (NSW) and South Australian (SA) pools of the Australian National Electricity Market (NEM) using retrospective electricity system generation data for 2011. Results highlight that there is a range of possible outcomes depending on the integration scenario and emissions accounting approach used. This range illustrates value of a temporally explicit assessment approach in capturing the temporal alignment of electricity sector emission intensity and EV charging. Results also show the importance of a clean electricity generation mix in order for EVs to provide a GHG abatement benefit beyond what would be achieved by a hybrid (but non-plug-in) vehicle. The extent to which overnight charging in NSW is observed to produce higher emissions relative to unmanaged charging also illustrates a possible trade-off between GHG emissions and benefits for electricity industry from EV charging at times of low demand.