Relationship equity and switching behavior in the adoption of new telecommunication services

This paper first defines and then presents a model of “relationship equity” for business markets. It points out that the potential benefits of managing relationship equity have been largely ignored and that a general model and stream of relevant research questions could be useful to marketing and relationship practitioners. The model developed considers the special case of key account management as antecedent, two different types of moderator variables, relationship equity as a perception by the buyer, and switching behavior via adoption of new telecommunication services as a result of this perception. The model is used as a basis for developing a number of working propositions.     

Valuation of firms that disclose related party transactions

We examine the stock market’s valuation of firms that disclose related party (RP) transactions compared to those that do not. We examine market values just prior to the Sarbanes-Oxley Act (SOX) ban on RP loans to evaluate the market’s perception of firms with RP transactions prior to regulatory intervention. We also evaluate subsequent returns to assess the RP firms’ overall risk return profile. We use the 2001 S&P 1500 to provide a large yet manageable hand-collected sample that predates SOX. Our market analysis suggests that RP firms have significantly lower valuations and marginally lower subsequent returns than non-RP firms. Market perceptions differ based on partitioning firms by RP transaction type and parties. The results are consistent with the market discounting firms that engage in simple RP transactions.     

A Conceptual Analysis of Price Setting in Australian Local Government

A complex set of issues underlies the pricing of the diverse range of goods and services from which Australian local governments derive a significant portion of their revenues. Although local governments have a not‐for‐profit orientation, they are expected to be financially viable and embrace a broad notion of accountability. They are also expected to influence the behaviour of constituents in accordance with policy decisions, but be equitable in doing so. These and related parameters are discussed and illustrated in order to reveal and elucidate the nature of pricing decisions in local government, and to differentiate the local government context from other price‐setting environments.     

Understanding the trend to mobile-only internet connections:A decomposition analysis

A growing portion of internet users rely solely on mobile devices such as smartphones for their online access. The percentage of “mobile-only” households increased from 9% in 2011 to 20% in 2015, more than doubling in only four years. As this shift continues, it leads to the question of what factors are driving the rise in mobile-only adoption. Using nationally representative data, this study uses logistic regressions and a decomposition technique to understand the trend. The decomposition reveals that a significant portion (65%) of the growth was due to an increase in the download speeds of mobile networks. An increased acceptance of mobile-only access by households aged 55 and older was also partly responsible. Understanding (and developing a response to) the trend towards mobile-only adoption will be important as organizations and governments continue to work to close the digital divide.     

Can broker-dealer client surveys provide signals for debt investing?

We use a novel data set to study return predictability in debt markets. The data are collected from J.P. Morgan’s periodic surveys on its clients’ outlook for changes in US Treasury yields and corporate credit spreads. We document that simple signals constructed from such surveys predict excess returns on debt portfolios formed on the basis of duration (2-years minus zero) or credit quality (BBB minus AAA). A linear trading strategy placing equal weight on Treasury and Credit signals has an annualized Information Ratio equal to 1.18, before transaction costs. We also show that predictability is likely to stem from private information possessed by survey respondents rather than from risk premia.     

The dark side of financial innovation: A case study of the pricing of a retail financial product

The offering prices of 64 issues of a popular retail structured equity product were, on average, almost 8% greater than estimates of the products' fair market values obtained using option pricing methods. Under reasonable assumptions about the underlying stocks' expected returns, the mean expected return estimate on the structured products is slightly below zero. The products do not provide tax, liquidity, or other benefits, and it is difficult to rationalize their purchase by informed rational investors. Our findings are, however, consistent with the recent hypothesis that issuing firms might shroud some aspects of innovative securities or introduce complexity to exploit uninformed investors.     

Have R&D Spillovers Declined in the 21st Century?

Slow growth over the last decade has prompted policy attention towards increasing R&D spending, often via the tax system. We examine the impact of R&D on firm performance, both by the firm's own investments and through positive (and negative) spillovers from other firms. We analyse panel data on US firms over the last three decades, and allow for time‐varying spillovers in both technology space (knowledge spillover) and product market space (product market rivalry). We show that the magnitude of R&D spillovers remains as large in the second decade of the 21^st century as it was in the mid 1980s. Since the ratio of the social return to the private return to R&D is about four to one, this implies that there remains a strong case for public support of R&D. Positive spillovers appeared to temporarily increase in the 1995–2004 digital technology boom. We also show how these micro estimates relate to estimates from the endogenous growth literature and give some suggestions for future work.     

Credibility in Loss Reserving

This article proposes using credibility theory in the context of stochastic claims reserving. We consider the situation where an insurer has access to the claims experience of its peer competitors and has the potential to improve prediction of outstanding liabilities by incorporating information from other insurers. Based on the framework of Bayesian linear models, we show that the development factor in the classical chain-ladder setting has a credibility expression: a weighted average of the prior mean and the best estimate from the data. In the empirical analysis, we examine loss triangles for the line of commercial auto insurance from a portfolio of insurers in the United States. We employ hierarchical model for the specification of prior and show that prediction could be improved through borrowing strength among insurers based on a hold-out sample validation.     

The impact of narrative disclosure readability on bond ratings and the cost of debt

Prior research on the determinants of credit ratings has focused on rating agencies’ use of quantitative accounting information, but the there is scant evidence on the impact of textual attributes. This study examines the impact of financial disclosure narrative on bond market outcomes. We find that less readable financial disclosures are associated with less favorable ratings, greater bond rating agency disagreement, and a higher cost of debt. We improve causal identification by exploiting the 1998 Plain English Mandate, which required a subset of firms to exogenously improve the readability of their filings. Using a difference-in-differences design, we find that the firms required to improve the readability of their filings experience more favorable ratings, lower bond rating disagreement, and lower cost of debt. Collectively, our evidence suggests that textual financial disclosure attributes appear to not only influence bond market intermediaries’ opinions but also firms’ cost of debt.