Does Integrated Reporting Matter to the Capital Market?

Integrated reporting (<IR>) is an emerging international corporate reporting initiative to address limitations to extant corporate reporting approaches, which are commonly criticized for being both voluminous and disjointed. While <IR> is gaining in popularity, current momentum has been limited due to a lack of clear evidence of its benefits. Utilizing the most suitable setting currently available, being discretionary disclosures made by listed companies on the Johannesburg Stock Exchange, this study provides evidence that analyst forecast error reduces as a company's level of alignment with the <IR> framework increases. Further, the improved alignment is associated with a subsequent reduction in the cost of equity capital for certain reporting companies. The results are obtained after controlling for factors relating to financial transparency and the issuance of standalone non‐financial reports, which suggests that <IR> is providing incrementally useful information to the capital market over and above existing reporting mechanisms.     

Sounding “Different”: The Role of Sociolinguistic Cues in Evaluating Job Candidates

An increasingly diverse labor pool has increased the likelihood that HR recruiters will encounter job seekers who speak with different dialects. Prior studies have investigated the effects of applicant dialect on employment selection outcomes. In this article, we merge this research with stereotyping, “modern racism,” and sociolinguistics literatures to formulate propositions surrounding two questions of interest: (1) Do prospective employers categorize job applicants using sociolinguistic cues? and (2) If so, what impact does this categorization have on evaluations of applicant employability? We believe this research can provide significant insights into HR practice as discriminatory behaviors change and adapt to fit social norms, particularly in employee recruitment and selection contexts. © 2014 Wiley Periodicals, Inc.     

A Primer on Unit Root Testing

The immense literature and diversity of unit root tests can at times be confusing even to the specialist and presents a truly daunting prospect to the uninitiated. In consequence, much empirical work still makes use of the simplest testing procedures because it is unclear from the literature and from recent reviews which tests if any are superior. This paper presents a survey of unit root theory with an emphasis on testing principles and recent developments. The general framework adopted makes it possible to consider tests of stochastic trends against trend stationarity and trend breaks of a general type. The main tests are listed, and asymptotic distributions are given in a simple form that emphasizes commonalities in the theory. Some simulation results are reported, and an extensive list of references and all annotated bibliography are provided.     

The Obama effect

Many observers argued that Barack Obama’s candidacy in the U.S. presidential election of 2008 benefited from the financial crisis and recessionary economic conditions which voters blamed on the Republican administration. However, an empirical examination of stock price and public opinion data indicates that improvements in Obama’s electoral prospects led stock price declines and that gains by Obama were more likely to be followed by falling stock prices than by rising prices. This evidence suggests that the poor performance of the stock market in the days leading up to Obama’s victory was partly caused by, rather than causing, Obama’s success.

Destination image differences between visitors and non‐visitors: a case of New York city

This note discusses the influences of previous visits on tourists' destination images. The cognitive and affective images of New York City (NYC) appear to change in certain directions after visiting. The results also found that city images have a significant influence on tourists' visit intention. However, previous visits to NYC did not play any moderating effect between destination images and visiting intention. Copyright © 2010 John Wiley & Sons, Ltd.     

The Potential Role of Organizational Setting in Creating “Entitled” Employees: An Investigation of the Antecedents of Equity Sensitivity

Existing research suggests that the equity sensitivity construct has both theoretical significance and applied value. This study investigates the antecedents of equity sensitivity, focusing on the relationships among organizational setting, personal characteristics (age, sex, work experience), organization tenure, and equity sensitivity. Results based on survey data from 613 individuals employed in ten diverse organizations suggest that organizational setting influences equity sensitivity levels among employees, Evidence of a significant relationship between age and equity sensitivity is also found. However, the relationship between organizational tenure and equity sensitivity found in previous studies is not replicated when adequate controls are included. Theoretical and practical implications of the findings are discussed.     

When do high‐level managers believe they can influence the stock price? Antecedents of stock price expectancy cognitions

Stock based rewards are often used to motivate high‐level managers to take actions to increase the stock price of the firm. However, numerous constraints may weaken the perceived link between individual effort and stock price appreciation for many recipients. This study introduces a new construct, stock price expectancy, which we define as individuals' perceptions of influence over their firm's stock price. We examined its antecedents in a sample of 349 high‐level U.S. managers and found that employment at corporate headquarters, firm size, hierarchical level, and contact with investment analysts predicted stock price expectancy perceptions. © 2010 Wiley Periodicals, Inc.     

Bootstrapping I(1) data

A functional law is given for an I(1) sample data version of the continuous-path block bootstrap of Paparoditis and Politis (2001a). The results provide an alternative demonstration that continuous-path block bootstrap unit root tests are consistent under the null.     

A systematic review of cost-effectiveness modeling of pharmaceutical therapies in neuropathic pain: variation in practice,key challenges,and recommendations for the future

Objectives: Complexities in the neuropathic-pain care pathway make the condition difficult to manage and difficult to capture in cost-effectiveness models. The aim of this study is to understand, through a systematic review of previous cost-effectiveness studies, some of the key strengths and limitations in data and modeling practices in neuropathic pain. Thus, the aim is to guide future research and practice to improve resource allocation decisions and encourage continued investment to find novel and effective treatments for patients with neuropathic pain.

Methods: The search strategy was designed to identify peer-reviewed cost-effectiveness evaluations of non-surgical, pharmaceutical therapies for neuropathic pain published since January 2000, accessing five key databases. All identified publications were reviewed and screened according to pre-defined eligibility criteria. Data extraction was designed to reflect key data challenges and approaches to modeling in neuropathic pain and based on published guidelines.

Results: The search strategy identified 20 cost-effectiveness analyses meeting the inclusion criteria, of which 14 had original model structures. Cost-effectiveness modeling in neuropathic pain is established and increasing across multiple jurisdictions; however, amongst these studies, there is substantial variation in modeling approach, and there are common limitations. Capturing the effect of treatments upon health outcomes, particularly health-related quality-of-life, is challenging, and the health effects of multiple lines of ineffective treatment, common for patients with neuropathic pain, have not been consistently or robustly modeled.

Conclusions: To improve future economic modeling in neuropathic pain, further research is suggested into the effect of multiple lines of treatment and treatment failure upon patient outcomes and subsequent treatment effectiveness; the impact of treatment-emergent adverse events upon patient outcomes; and consistent and appropriate pain measures to inform models. The authors further encourage transparent reporting of inputs used to inform cost-effectiveness models, with robust, comprehensive and clear uncertainty analysis and, where feasible, open-source modeling is encouraged.