Lebesgue measure and social choice trade-offs

Summary An Arrovian social choice rule is a social welfare function satisfying independence of irrelevant alternatives and transitivity of social preference. Assume a measurable outcome spaceX with its (Lebesgue) measure normalized to unity. For any Arrovian rule and any fractiont, either some individual dictates over a subset ofX of measuret or more, or at least a fraction 1–t of the pairs of distinct alternatives have their social ordering fixed independently of individual preferences. Also, for any positive integer (less than the total number of individuals), there is some subsetH of society consisting of all but persons such that the fraction of outcome pairs (x, y) that are social ranked without consulting the preferences of anyone inH, whenever no individual is indifferent betweenx andy, is at least 1–1/4.We are grateful to Roy Mathias and Daniel Waterman for help with some technical matters, and to chairman Jim Follain and the Syracuse University Economics Department for financing the exchange that launched this project. Campbell's research was funded by National Science Foundation grants, SES 9007953 and SES 9209039.     

What's wrong with strategy?

Why is it that successful strategies are rarely developed as a result of formal planning processes? What is wrong with the way most companies go about developing strategy? Andrew Campbell and Marcus Alexander take a common sense look at why the planning frameworks managers use so often yield disappointing results. Companies often fail to distinguish between purpose (what an organization exists to do) and constraints (what an organization must do in order to survive), the authors say. Many executives mistakenly believe, for example, that satisfying stakeholders is an objective that drives thinking about strategy. In fact, it's a constraint, not an objective. Companies that don't win the loyalty of stakeholders will go out of business. Strategy is not about plans but about insights, the authors add. Strategy development is the process of discovering and understanding insights and should not be confused with planning, which is about turning insights into action. Furthermore, because executives develop most of their insights while actually doing the real work of running a business, it is important for companies not to separate strategy development from implementation. Is there a better way? The answer is not new planning processes or more effort. Instead, managers must understand two fundamental points: the benefit of having a well-articulated, stable purpose and the importance of discovering, understanding, documenting, and exploiting insights about how to create value.     

Disclosure of Private Information and Reduction of Uncertainty: Environmental Liabilities in the Chemical Industry

We investigate the potential uncertainty-reducing role of accounting information in the context of contingent Superfund liability valuation. We first develop theoretical arguments for the way reduction of uncertainty regarding these contingent liabilities is expected to affect security prices. Empirical proxies are developed for two types of uncertainty surrounding contingent Superfund liabilities: site uncertainty and allocation uncertainty. In a valuation framework, we then investigate whether financial statement disclosures and accruals reduce uncertainty and thereby affect security valuation. Specifically, we analyze the interaction of private information contained in firm disclosures and accruals with inherent uncertainty surrounding contingent Superfund liabilities. Results suggest that in a regulatory environment allowing substantial reporting discretion, firm-provided financial statement information affects valuation of contingent Superfund liabilities by reducing uncertainty. Further, we find that information revealed through accruals versus disclosures is differentially effective at reducing site and allocation uncertainty.     

Measuring abnormal daily trading volume for samples of NYSE/ASE and NASDAQ securities using parametric and nonparametric test statistics

We extend prior research on the empirical properties of daily trading volume and methods to detect abnormal trading volume in two ways. We compare the performance of a nonparametric test statistic with the parametric test statistic used in prior research and we study samples of NASDAQ securities as well as samples of NYSE/ASE securities. Prior research has focused exclusively on NYSE securities. We find the nonparametric test statistic is more powerful in detecting abnormal trading volume than the parametric test statistic in both samples of NYSE/ASE and NASDAQ securities. We also document that abnormal trading volume will be detected more often in samples of NYSE/ASE securities compared to NASDAQ securities.     

Picking a loser: Strategic surprise in a design and development game

We take a setting in which upstream players produce design ideas and downstream players select among these ideas to develop finished products. Design diversity is valuable at the upstream stage and coordination is valuable at the downstream stage. However, this outcome is not always realized. We show that an intermediary between upstream and downstream can improve on equilibrium outcomes by acting as a coordination and commitment device whose optimal policy must sometimes reward inferior ideas. We apply the model to technology standards, trend‐driven industries, political primaries, and the management of process innovation. We discuss incentives to vertically integrate.     

Maximizing an equity portfolio excess growth rate: a new form of smart beta strategy?

It has been claimed that, for dynamic investment strategies, the simple act of rebalancing a portfolio can be a source of additional performance, sometimes referred to as the volatility pumping effect or the diversification bonus because volatility and diversification turn out to be key drivers of the portfolio performance. Stochastic portfolio theory suggests that the portfolio excess growth rate, defined as the difference between the portfolio expected growth rate and the weighted-average expected growth rate of the assets in the portfolio, is an important component of this additional performance (see Fernholz [Stochastic Portfolio Theory, 2002 (Springer)]). In this context, one might wonder whether maximizing a portfolio excess growth rate would lead to an improvement in the portfolio performance or risk-adjusted performance. This paper provides a thorough empirical analysis of the maximization of an equity portfolio excess growth rate in a portfolio construction context for individual stocks. In out-of-sample empirical tests conducted on individual stocks from 4 different regions (US, UK, Eurozone and Japan), we find that portfolios that maximize the excess growth rate are characterized by a strong negative exposure to the low volatility factor and a higher than 1 exposure to the market factor, implying that such portfolios are attractive alternatives to competing smart portfolios in markets where the low volatility anomaly does not hold (e.g. in the UK, or in rising interest rate scenarios) or in bull market environments.     

Financial functional analysis: a conceptual framework for understanding the changing financial system

The financial system is currently undergoing a revolution brought about by e-finance, digital convergence, new market entrants and government-encouraged competition. New market entrants such as Apple, Alibaba, Facebook and Google come from industries such as IT, retail, social media and telecoms, and, therefore, do not fit comfortably within traditional financial institutional structures. A functional perspective might provide more practical insights into this revolution; however, the functional perspective has had a limited impact. This paper will investigate the benefits and limitations of financial functional analysis; probe the underpinning principles of sociology’s structural functional analysis; revisit Merton and Bodie’s (1995) six core financial functions in relation to new entrants in the financial landscape; and, finally, argue that in the new financial environment, functional analysis provides a more coherent and explanatory framework of the financial system for students and practitioners alike.     

The Impact of Occupational Community on the Quality of Internal Control

Senior executives in major corporations have drawn attention in recent years for a range of unethical activities. Despite a rise in measures to protect against such lapses, executives still make decisions whether or not to comply with reporting standards, best practices, industry norms and legislation. The prior literature in this area addresses individual characteristics of decision makers and social networks between executives and boards of directors, but to this point has largely overlooked group dynamics of the executive team. Our study addresses this gap and examines the relationship between an occupational community of top executives and the quality of internal control. We construct a unique measure for the executive occupational community based on CEO and CFO’s joint tenure. Our findings show that the number of years of CEO/CFO’s joint tenure is significantly and negatively associated with internal control weakness, suggesting that the longer the executive relationship, the lower the likelihood of internal control weakness. Our study indicates that the presence of an occupational community contributes to better internal control.     

Optimal monetary policy in a New Keynesian model with habits in consumption

In this paper we consider the implications of habits for optimal monetary policy, when those habits either exist at the level of the aggregate basket of consumption goods (‘superficial’ habits) or at the level of individual goods (‘deep’ habits: see Ravn et al., 2006). External habits generate an additional distortion in the economy and create new trade-offs for optimal policy, as the policy maker does not respond as aggressively to technology shocks in order to avoid exacerbating the habits externality. This can dramatically affect both the parameterization of optimal simple rules, as well as their determinacy properties. These effects are particularly strong when habits are of the deep kind.     

Marx and Engels’ Vision of a Better Society

Notwithstanding their much noted aversion to detailing the nature of a post-capitalist society, Marx and Engels indeed have a broad vision of such a better society that both runs through and informs their entire lives' work. It is rooted in their concepts of the inherently social nature of humans and potential authentic human development in accord with human nature, and the negation by humans as the active agents of history of the barriers posed to that development. This paper discuses their dialectic approach to defining a better society, their concept of human nature that it rests on, and finally specifies a number general aspects they give for a better future socialist society.