Agency Problems and Dividend Policies around the World

This paper outlines and tests two agency models of dividends. According to the "outcome model," dividends are paid because minority shareholders pressure corporate insiders to disgorge cash. According to the "substitute model," insiders interested in issuing equity in the future pay dividends to establish a reputation for decent treatment of minority shareholders. The first model predicts that stronger minority shareholder rights should be associated with higher dividend payouts; the second model predicts the opposite. Tests on a cross section of 4,000 companies from 33 countries with different levels of minority shareholder rights support the outcome agency model of dividends.     

Is it ‘you’ or ‘your workplace’? Predictors of job‐related training in the Anglo‐American world

This paper examines the determinants of job‐related training and workplace voice. Using data from a unique 2016 cross‐national survey of Australian, British, Canadian and American employees, the paper contrasts two classic formulations in the literature; (1) the neoclassical/human capital approach which predicts that individual characteristics (such as age and education) which increase the efficiency of learning, will have the largest impact on the allocation of training (i.e. younger and more educated employees will be afforded training) and (2) the traditional institutional approach which favors the structural characteristics present at the industry and firm level, the nature of the job itself and the strategic choices of firms as the major predictors of job‐related training. We find that age – a key factor in the human capital model – plays a significant role in the allocation of training but that education (in keeping with recent evidence) does not. In sum the human capital model provides, at best, only a partial explanation for the differences in training observed across individuals. In contrast, variables invoked by the institutional literature (i.e. occupation level; industry; ownership type; and market structure) are highly significant and account for a much greater proportion of the variance in training observed across workers. Other institutional factors such as the presence of a union and a human resource department were strong positive predictors of job‐related training. But most important were product‐market strategy and employee voice. Respondents working in firms utilizing a ‘high road/high quality’ product/service strategy and with a workplace consultative committee were significantly more likely to receive training than similar workers employed in observably similar firms. This last finding supports the industrial relations view of voice as an important channel by which training is optimally delivered inside the firm.     

SEC monitoring of foreign firms’ disclosures in the presence of foreign regulators

SEC comment letters indicate that the SEC has reviewed the firm’s filings and identified a disclosure issue. Using the existence of an SEC comment letter as a proxy for SEC monitoring, we document a negative association between the level of SEC monitoring of foreign firms and the strength of those foreign firms’ home-country institutions, consistent with the idea that the SEC implicitly shares its regulatory duties with international securities regulators. We find that foreign cross-listed firms are subject to lower monitoring intensity than foreign firms listed only on US exchanges, but do not find a statistically significant difference in monitoring between foreign firms listed only on US exchanges and US firms. These findings suggest that it is the presence of another regulator that drives the intensity of SEC monitoring. We also find that US investor holdings are positively associated with the level of SEC oversight, suggesting that the SEC focuses its resources on firms that pose a greater risk to US investors. Collectively, our analyses show that two countervailing forces drive the SEC’s choice to monitor foreign firms. On the one hand, the SEC reduces monitoring intensity when it can rely on the public and private enforcement institutions in the foreign firm’s home country. On the other hand, the SEC provides increased monitoring of certain foreign firms when investors on US exchanges have greater investment exposure in those firms.     

Measuring executive personality using machine-learning algorithms: A new approach and audit fee-based validation tests

We present a novel approach for measuring executive personality traits. Relying on recent developments in machine learning and artificial intelligence, we utilize the IBM Watson Personality Insights service to measure executive personalities based on CEOs’ and CFOs’ responses to questions raised by analysts during conference calls. We obtain the Big Five personality traits – openness, conscientiousness, extraversion, agreeableness and neuroticism – based on which we estimate risk tolerance. To validate these traits, we first demonstrate that our risk-tolerance measure varies with existing inherent and behavioural-based measures (gender, age, sensitivity of executive compensation to stock return volatility, and executive unexercised-vested options) in predictable ways. Second, we show that variation in firm-year level personality trait measures, including risk tolerance, is largely explained by manager characteristics, as opposed to firm characteristics and firm performance. Finally, we find that executive inherent risk tolerance helps explain the positive relationship between client risk and audit fees documented in the prior literature. Specifically, the effect of CEO risk-tolerance – as an innate personality trait – on audit fees is incremental to the effect of increased risk appetite from equity risk-taking incentives (Vega). Measuring executive personality using machine-learning algorithms will thus allow researchers to pursue studies that were previously difficult to conduct.     

A likelihood ratio test for stationarity of rating transitions

We study the time-stationarity of rating transitions, modelled by a time-continuous discrete-state Markov process and derive a likelihood ratio test. For multiple Markov processes from a multiplicative intensity model, maximum likelihood parameter estimates can be written as martingale transform of the processes, counting transitions between the rating states, so that the profile partial likelihood ratio is asymptotically χ²${\chi }^2$-distributed. An application to an internal rating data set reveals highly significant instationarity.     

Iterated regret minimization: A new solution concept

For some well-known games, such as the Traveler?s Dilemma or the Centipede Game, traditional game-theoretic solution concepts—most notably Nash equilibrium—predict outcomes that are not consistent with empirical observations. We introduce a new solution concept, iterated regret minimization, that exhibits the same qualitative behavior as that observed in experiments in many games of interest, including Traveler?s Dilemma, the Centipede Game, Nash bargaining, and Bertrand competition. As the name suggests, iterated regret minimization involves the iterated deletion of strategies that do not minimize regret.     

Name-your-own-price as participative pricing strategy: a review of the literature from 2001–2017

ABSTRACT

Name-your-own-price (NYOP), a pricing strategy often referred to as a reverse auction, is a participative pricing mechanism in which consumers have a relatively high control over the price they pay for a product or service. In an NYOP mechanism, buyers generate the final price of a product or service when they bid above an unrevealed threshold price set by the seller. Although NYOP as a pricing strategy was previously investigated, the literature remains scarce and fragmented. This paper attempts to assemble the relevant findings of this pricing strategy, by systematically reviewing all publications from 2001 to 2017. We explored the impacts of this mechanism for companies and consumers, such as increased profit for companies and higher savings for consumers, reduced competition for companies and increased satisfaction for consumers. We also highlighed the best practices of NYOP, such as the bidding practices, threshold price, and willingness to pay.     

Behind influencer marketing: key marketing decisions and their effects on followers’ responses

ABSTRACT

Influencer marketing actions are mostly carried out on social platforms, e.g., Facebook, Instagram and Twitter. However, despite its increasing use, studies on this subject are still scarce. In this research, we focus on four essential factors related to an influencer marketing programme, analyzed in two separate experimental studies for theoretical reasons and methodological operability: brand control over the shared message and its commercial orientation; and, the celebrity level of the influencer and his/her congruence with the product/service they comment on in the post. We are also interested in the effects of these factors on a set of key responses by the follower with regard to the elements that form part of an influencer marketing action: the influencer, the post, and the product/service.