MORGAN STANLEY ROUNDTABLE ON Capital Structure and Payout Policy

A group of distinguished finance academics and practitioners discuss a number of topical issues in corporate financial management: Is there such a thing as an optimal, or value‐maximizing, capital structure for a given company? What proportion of a firm's current earnings should be distributed to the firm's shareholders? And under what circumstances should such distributions take the form of stock repurchases rather than dividends? The consensus that emerges is that a company's financing and payout policies should be designed to support its business strategy. For growth companies, the emphasis is on preserving financial flexibility to carry out the business plan, which means heavy reliance on equity financing and limited payouts. But for companies in mature industries with few major investment opportunities, more aggressive use of debt and higher payouts can add value both by reducing taxes and controlling the corporate free cash flow problem. In such cases, both leveraged financing and cash distributions through dividends and stock buybacks signal management's commitment to its shareholders that the firm's excess cash will not be wasted on projects that produce low‐return growth that comes at the expense of profitability. As for the choice between dividends and stock repurchases, dividends provide a stronger commitment to pay out excess cash than open market repurchase programs. Stock buybacks, at least of the open market variety, preserve more flexibility for companies that want to be able to capitalize on unpredictable investment opportunities. But, as with the debt‐equity decision, there is an optimal level of financial flexibility: too little can mean lost investment opportunities, but too much can lead to overinvestment.     

Archetyping relationships with companion animals to understand disaster risk-taking propensity

Pets factor into the daily decision-making of many people. Importantly, various characteristics of these human–animal relationships are known to strongly influence pet owners’ risk behaviour and, consequently, their animals’ welfare during disasters. Yet, few studies have examined a range of such characteristics concurrently in order to describe risk propensity differences in these relationships. In this study, 437 Australian companion-animal (pet) owners reported human–animal relational, personality and attitudinal characteristics, to examine differences in stated tendency to act to secure their pet’s welfare whilst risking potential harm in a hypothetical disaster dilemma. Cluster analysis identified five archetypal profiles differing in relational, personality, attitude and risk-propensity characteristics, as well as in stated willingness to risk personal safety for the well-being of a pet. Results suggest that relational archetypes are an effective means of examining pet–owner risk propensity, to better understand owners’ risk-taking to protect their animals from harm during a disaster.     

The Value of CEO Mobility: Contextual Factors That Shape the Impact of Prior CEO Experience on Market Performance and CEO Compensation

This study examines the value that prior CEO experience has for the companies that hire such CEOs—as reflected in the firms’ subsequent market‐based performance—as well as its value for the CEO that possesses this experience—as reflected in his or her initial compensation. While we suggest that shareholders tend not to benefit from firms hiring experienced CEOs, we also argue that particular firm and industry contextual factors that shaped the prior CEO experience help ameliorate this detrimental effect. Regardless, we also suggest that prior CEO experience generally stands to benefit the CEOs, in that it brings them a compensation premium over those CEOs without such prior experience. We tested our hypotheses on a sample of 654 US CEO succession events that occurred between 2001 and 2004 and found broad support for our hypotheses. We close with a discussion of the implications of our findings for future research as well as what they mean for firms hiring experienced CEOs and for CEO careers more generally. © 2015 Wiley Periodicals, Inc.     

Sustainable humanitarian supply chain management – exploring new theory

Disaster response operations aim at helping as many victims as possible in the shortest time, with limited consideration of the socio-economic context. During the disaster rehabilitation phase, the perspective needs to broaden and comprehensively take into account the local environment. We propose a framework of sustainable humanitarian supply chain management (SCM) that facilitates such comprehensive performance. We conceptualise the framework by combining literature from the fields of sustainable and humanitarian SCM. We test the framework through an analytic induction process by means of multiple case studies of four relief organisations. Our framework suggests that supply chain design needs to be aligned not only to relief organisations’ enablers, but also to the population's long-term requirements as well as any socio-economic and governmental contingency factors. A good fit between these dimensions leads to sustainable performance. The framework provides an instrument for relief organisations to achieve sustainable performance in the disaster rehabilitation phase.     

The Quality of Institutions and Organizational Form Decisions: Evidence from Within the Firm

In many retail and service sectors, firms have to establish a physical presence in a geographic market to access customers there. In countries where the quality of institutions is low, this can put assets at risk. We use data on the operations of a multinational, multibrand hotel company to show that in environments where local institutions are weaker—as proxied mainly by the World Bank's Checks index—the company eschews direct ownership. Rather than increasing its reliance on franchising, as predicted by some models, the company relies more on another form of organization commonly used in this industry, namely management contracts. We explain these patterns by emphasizing how the quality of the institutional environment affects the cost of using equity‐based organizational forms, per arguments in the current literature, but also the cost of enforcing the terms of franchise contracts.     

Diversification to mitigate expropriation in the tobacco industry

While it is well established that diversifying acquisitions by large, cash-rich firms destroy shareholder wealth, we document positive abnormal returns to such acquisitions in the tobacco industry. We show that these abnormal returns are associated with proxies for lower expected expropriation costs. Specifically, we show that wealth creation increases in the degree of domestic geographic expansion afforded by the acquisition (increasing tobacco firms’ influence in more political districts) and in the liquidity of tobacco firms’ assets (converting cash to harder-to-expropriate operating assets). We also show that the threat of expropriation constrains payments to shareholders before expropriation becomes certain in 1998.     

Broadband penetration,financial development,and economic growth nexus: evidence from the Arab League countries

This paper examines the mutual relationship between broadband penetration, financial development, and economic growth in the 22 Arab League countries for the period between 2001 and 2013. Financial development (represented by broad money supply, claims on the private sector, domestic credit to the private sector, domestic credit provided by the banking sector, market capitalization, turnover ratio, and traded stocks) is assessed both individually, and by a composite index. Our results reveal that there is a long-run equilibrium relationship between broadband penetration, financial development, and economic growth. Additionally, we use a panel vector autoregression model to reveal the nature of Granger causality between the covariates. The most important insight of this study is the presence of bidirectional causality from economic growth to broadband penetration in the long run. In addition, we find that financial development together with broadband penetration Granger-cause economic growth in the long run.     

The effect of state health insurance benefit mandates on premiums and employee contributions

The average US state has 40 benefit mandates, laws requiring health insurance to cover particular conditions, treatments, providers or people. We investigate the extent to which these mandates increase the health insurance premiums paid by employers, and the extent to which these higher premiums are passed on to employees in the form of higher employee contributions. We use state-level data on premiums and employee contributions to health insurance from the insurance component of the 1996–2011 Medical Expenditure Panel Survey. Our main analysis is a fixed effects regression that controls for age, race, income, union membership and the presence of state mandate waivers. We find robust evidence that the average mandate increases premiums by approximately 0.6%, and that mandates lead to similar increases in employee contributions for single-coverage health insurance plans. Alternative specifications using an AR(1) error structure estimate a larger effect of mandates, while those using generalized estimating equations estimate smaller effects. We find that mandates requiring insurers to cover a specific benefit, as opposed to a specific type of provider or person, lead to the largest increases in employee contributions.     

Predictive Modeling in Long-Term Care Insurance

The accurate prediction of long-term care insurance (LTCI) mortality, lapse, and claim rates is essential when making informed pricing and risk management decisions. Unfortunately, academic literature on the subject is sparse and industry practice is limited by software and time constraints. In this article, we review current LTCI industry modeling methodology, which is typically Poisson regression with covariate banding/modification and stepwise variable selection. We test the claim that covariate banding improves predictive accuracy, examine the potential downfalls of stepwise selection, and contend that the assumptions required for Poisson regression are not appropriate for LTCI data. We propose several alternative models specifically tailored toward count responses with an excess of zeros and overdispersion. Using data from a large LTCI provider, we evaluate the predictive capacity of random forests and generalized linear and additive models with zero-inflated Poisson, negative binomial, and Tweedie errors. These alternatives are compared to previously developed Poisson regression models.

Our study confirms that variable modification is unnecessary at best and automatic stepwise model selection is dangerous. After demonstrating severe overprediction of LTCI mortality and lapse rates under the Poisson assumption, we show that a Tweedie GLM enables much more accurate predictions. Our Tweedie regression models improve average predictive accuracy (measured by several prediction error statistics) over Poisson regression models by as much as four times for mortality rates and 17 times for lapse rates.     

Moral Repair in the Workplace: A Qualitative Investigation and Inductive Model

The topic of moral repair in the aftermath of breaches of trust and harmdoing has grown in importance within the past few years. In this paper, we present the results of a qualitative study that offers insight into a series of key issues related to offender efforts to repair interpersonal harm in the workplace: (1) What factors motivate offenders to make amends with those they have harmed? (2) In what ways do offenders attempt to make amends? (3) What outcomes emerge from attempts to make amends? Drawing from the findings, we build an inductive model intended to guide future business ethics and management inquiry and research in this area.