The impact of supplier development on buyer competitive advantage: A path analytic model

As manufacturing firms increasingly realize that supplier performance is crucial to their establishing and maintaining competitive advantage, supplier development has been a subject of considerable research in supply chain management. We develop and test a path model to explore how supplier development practices affect buyer-supplier performance from the buying firm's perspective in the context of Hong Kong's electronics industry. The results show that top management, supplier evaluation, and supplier strategic objectives are significant determinants of transaction-specific supplier development, and that buyers that have closer collaborative relationships with suppliers may strengthen their competitive advantage.     

On Moral Business: Classical and Contemporary Resources for Ethics in Economic Life. Max L. Stackhouse,Dennis P. McCann,Shirley Roels and Preston N. Williams

Teaching Business Ethics -     

Helpful Reviewers in TripAdvisor,an Online Travel Community

Online communities need a critical mass for communication, information, and entertainment and should provide useful information for their members in order to obtain this critical mass. The abundance of online travel reviews increases cognitive costs of travelers, and travelers use extrinsic cues to judge the quality of online reviews to eliminate costs associated with the information process. Of various cues used in online environments, this study examined an online reputation system in TripAdvisor.com and profiled the reviewers who post helpful reviews in the online travel community. The key findings include that helpful reviewers are those who travel more, actively post reviews, belong to any age and gender groups, and give lower hotel ratings. This study adds to research of online travel reviewers by characterizing helpful information creators among online content creators.     

Financial clusters,industry groups,and stock return correlations

Industry classifications are used by investors, economists, and policy makers for a great variety of purposes. The traditional economic‐activity‐based systems (Global Industry Classification Standard, North American Industry Classification System, Standard Industrial Classification, and Fama–French) have been supplemented in recent years by alternative classification systems. Our purpose is to provide another alternative system that forms classification groups based on the structure of firm financial statements. Using cluster analysis, a multivariate tool that forms groups where their characteristics are similar within groups and distinct across groups, we form clusters of large U.S. firms based on their common‐size financial statements (percentage breakdowns of balance sheets and income statements). We characterize the financial clusters based on their industry classifications and other economic information and assess the ability of financial clusters and industry groups, separately and jointly, to explain stock return correlations of all pairs of firms. Our results demonstrate that using financial clusters and industry groups together proves advantageous relative to using either alone.     

Does stable ownership create value? Evidence from the global financial crisis

We investigate the value of stable ownership for a sample of European firms using the global financial crisis as an exogenous shock and pre-and post-crisis years as benchmark periods. Consistent with the argument that stable ownership allows managers to focus on the creation of long-term value, we find that stable ownership resulted in higher stock returns and a higher market-to-book ratio during the crisis. This positive effect of stable ownership was not reversed after the crisis. Stable institutional blockholdings were more valuable in countries with weaker investor protection. However, the positive effect does not apply to firms in which a family is the largest blockholder. Finally, we also find that ownership stability was associated with a higher level of investments, illustrating that stable ownership affects real corporate decisions.

     

Interactive data and retail investor decision‐making: an experimental study

The results of an experimental study of retail investors' use of eXtensible Business Reporting Language tagged (interactive) data and PDF format for making investment decisions are reported. The main finding is that data format made no difference to participants' ability to locate and integrate information from statement footnotes to improve investment decisions. Interactive data were perceived by participants as quick and ‘accurate’, but it failed to facilitate the identification of the adjustment needed to make the ratios accurate for comparison. An important implication is that regulators and software designers should work to reduce user reliance on the comparability of ratios generated automatically using interactive data.     

Option trading after the opening bell and intraday stock return predictability

Prior literature finds that information is reflected in option markets before stock markets, but no study has explored whether option volume soon after market open has predictive power for intraday stock returns. Using novel intraday signed option-to-stock volume data, we find that a composite option trading score (OTS) in the first 30 min of market open predicts stock returns during the rest of the trading day. Such return predictability is greater for smaller stocks, stocks with higher idiosyncratic volatility, and stocks with higher bid–ask spreads relative to their options’ bid–ask spreads. Moreover, OTS is a significantly stronger predictor of intraday stock returns after overnight earnings announcements. The evidence suggests that option trading in the 30 min after the opening bell has predictive power for intraday stock returns.     

Split bond ratings and rating migration

This paper examines the relationships between split ratings and ratings migration. We find that bonds with split ratings are more likely to have future rating changes. A one-notch (more-than-one-notch) split rating increases the probability of rating change within one year of initial issuance by about 3% (6%). Furthermore, we find that about 30% of split rated bonds have their two ratings converge after four years of initial issuance. The rating convergence tapers off after three years, and the rating agency with a higher (lower) initial rating generally maintains a higher (lower) rating in subsequent years if the two ratings do not converge. We also show that rating transition estimation can be improved by taking into consideration split ratings. We find that one-year rating transition matrices are significantly different between non-letter-split rated bonds and letter-split rated bonds, and we show that the difference has an economically significant impact on the pricing of credit spread options and VaR-based risk management models. Overall, our results suggest that split ratings contain important information about subsequent rating changes.