Valuation effects of new capital issues by large bank holding companies

Bank regulators in the United States and other major industrial nations have agreed on a framework for regulating bank capital, proposing that all banking organizations maintain common equity and perpetual preferred capital equal to 4 percent of risk-adjusted assets. This proposal raises important questions about the effect of different capital definitions on banking organizations. This article examines the stock market valuation effects of banks' issuing securities that are considered regulatory capital over the 1982–1986 period. The results are consistent with Myers and Majluf's securities overvaluation hypothesis.     

I know something you don't know!: The role of linking pin directors in monitoring and incentive alignment

Increasing regulatory pressures have created specialization within boards, with more requirements and responsibilities being refocused to the committee level. Using data from S&P 1,500 firms, we find that board committee overlap associated with linking pin directors (i.e., those serving simultaneously on the audit and compensation committees) is an important conduit for knowledge transfer between boards' monitoring and incentive alignment functions. These directors are associated with lower executive compensation and influence pay mix. In studying the dynamics behind this process, we find that newly created linking pins improve monitoring effectiveness whereas recently dissolved linking pins decrease it. We also find that linking pins are all the more important when managers make less conservative accounting choices. Copyright © 2014 John Wiley & Sons, Ltd.     

Heritage tourism: A question of age

This research analyzes the demographic characteristics and motivations of the senior and non-senior market segments in selecting a heritage site. By studying how these two groups of individuals select heritage sites, planners will be better able to comprehend what these individuals expect from their visit. A survey consisting of a historic preservationist scale, benefits sought scale, services sought scale, historic site preference scale, and demographic information was mailed to a systematic random sample of 700 travelers requesting tourism information about Virginia. The findings show that many similarities exist between the senior and non-senior market. However, the senior market is more likely to visit a historic site that is less convenient to reach, has fewer facilities, and is more authentic and less developed; while the non-seniors are motivated more by opportunity to escape work overloads.     

Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data

Survey calibration (or generalized raking) estimators are a standard approach to the use of auxiliary information in survey sampling, improving on the simple Horvitz–Thompson estimator. In this paper we relate the survey calibration estimators to the semiparametric incomplete‐data estimators of Robins and coworkers, and to adjustment for baseline variables in a randomized trial. The development based on calibration estimators explains the “estimated weights” paradox and provides useful heuristics for constructing practical estimators. We present some examples of using calibration to gain precision without making additional modelling assumptions in a variety of regression models.     

Women on boards and greenhouse gas emission disclosures

We apply institutional and board capital theory to examine whether women on boards are associated with disclosure and quality of corporate greenhouse gas (GHG) emissions related reporting. We examine the research problem in Australia in a period when no requirements existed for listed companies to appoint female directors or to report GHG emissions. This environment allows us to examine the association between women on boards and GHG emissions related disclosure in annual and sustainability reports in a voluntary setting. We find that companies with multiple female directors make GHG emissions related disclosures that are of higher quality.     

Faculty Salary Inversion,Compression, and Market Salary Gap in California State University Business Schools

Employee Responsibilities and Rights Journal - Extant literature has examined salary compression and inversion in US academic institutions including arguments that compression constitutes a form of...     

Reshoring: a strategic renewal of luxury clothing supply chains

This paper contributes to the emerging literature on reshoring by taking a value-driven enquiry into the renewal of supply chain strategy. It enhances the understanding of the use of reshoring in generating the value demanded by a changing business model. An iconic British high-end clothing brand, Burberry, is the chosen case study to explore the recent move towards reshoring because its changes of leadership, business model and evolving supply chain strategy from 1997 to early 2016 provide a timely and pertinent context. Burberry has continued to realign its business towards a brand-led and customer-centric model along with restoring its corporate heritage and core brand values. The changes in Burberry’s business model triggered the need to renew and realign its supply chain strategy through consolidating and rebuilding manufacturing activities back in the UK, in order to support its brand repositioning as quintessentially British and the company’s refocus on heritage products. The increased managerial control in the supply chain together with the close proximity of design and manufacture enables the promise of quality and brand provenance to be fulfilled. The renewal of Burberry’s supply chain strategy has contributed to an increase in revenues and brand values. These findings suggest that the renewal of supply chain strategy through reshoring and increasing control in supply chain operations can enhance value and firm competitiveness.     

Cognitive interviewing as tool for enhancing the accuracy of the interpretation of quantitative findings

This paper contrasts findings from a quantitative survey with those from a cognitive interviewing follow-up investigation on a subset of the same respondents. The data were gathered as part of a larger study to explore measurement error across three modes of data collection, but this paper focuses on the question format experiments rather than the mode effects part of the larger study. Three examples are presented which demonstrate how cognitive interviewing can cast new light on quantitative results by increasing the accuracy of the inferences made. These include instances where: (1) quantitative indicators of poor respondent behaviour (e.g., acquiescence bias on agree/disagree questions) are over-estimates, (2) similar quantitative response distributions across satisfaction and behavioural questions (from a fully-labelled versus end-labelled experiment) imply similar respondent satisficing behaviour, but cognitive interviews show that different response processes are at work and (3) unlikely quantitative findings (from an experiment comparing 3 vs. 7 or 8 response options) could easily be dismissed as due to chance but were instead the result of unforeseen respondent difficulties. The paper concludes with a discussion of the value of using a cognitive interviewing follow-up study as a tool in the interpretation of ambiguous quantitative findings.     

Non‐parametric bounds on quantiles under monotonicity assumptions: with an application to the Italian education returns

Within the inferential context of predicting a distribution of potential outcomes P[y(t)] under a uniform treatment assignment t ∈ T, this paper deals with partial identification of the α‐quantile of the distribution of interest Q_α[y(t)] under relatively weak and credible monotonicity‐type assumptions on the individual response functions and the population selection process. On the theoretical side, the paper adds to the existing results on non‐parametric bounds on quantiles with no prior information and under monotone treatment response (MTR) by introducing and studying the identifying properties of α‐quantile monotone treatment selection (α‐QMTS), α‐quantile monotone instrumental variables (α‐QMIV) and their combinations. The main result parallels that for the mean; MTR and α‐QMTS aid identification in a complementary fashion, so that combining them greatly increases identification power. The theoretical results are illustrated through an empirical application on the Italian returns to educational qualifications. Bounds on several quantiles of ln(wage) under different qualifications and on quantile treatments effects (QTE) are estimated and compared with parametric quantile regression (α‐QR) and α‐IVQR estimates from the same sample. Remarkably, the α‐QMTS & MTR upper bounds on the α‐QTE of a college degree versus elementary education imply smaller year‐by‐year returns than the corresponding α‐IVQR point estimates. Copyright © 2010 John Wiley & Sons, Ltd.