Promise and peril in implementing pay‐for‐performance

Why would managers abandon pay‐for‐performance plans they initiated with great hopes? Why would employees celebrate this decision? This article explores why managers made their decisions in 12 of 13 pay‐for‐performance “experiments” at Hewlett‐Packard in the mid‐1990s. We find that managers thought the costs of these programs to be higher than the benefits. Alternative managerial practices such as effective leadership, clear objectives, coaching, or training were thought a better investment. Despite the undisputed instrumentality of pay‐for‐performance to motivate, little attention has been given to whether the benefits outweigh the costs or the “fit” of these programs with high‐commitment cultures like Hewlett‐Packard was at the time. © 2004 Wiley Periodicals, Inc.     

When MR = MC: Ethical Efficiencies in Valuing and Pricing

How do we determine value? What are the ethical implications of valuing goods and services with respect to economic profit maximization? To answer those questions, Primeaux and Stieber move their discussion of the ethical principles inherent to economic profit maximization from production to distribution, from internal costs to external pricing and consumer demand.     

Character and Virtue Ethics in International Marketing: An Agenda for Managers, Researchers and Educators

This article examines the applicability of character and virtue ethics to international marketing. The historical background of this field, dimensions of virtue ethics and its relationship to other ethical theories are explained. Five core virtues – integrity, fairness, trust, respect and empathy – are suggested as especially relevant for marketing in a multicultural and multinational context. Implications are drawn for marketing scholars, practitioners and educators.     

Asset allocation in markets with contagion: The interplay between volatilities,jump intensities,and correlations

We study the impact of financial contagion on the dynamic asset allocation problem of a CRRA investor facing an incomplete market with two risky assets. We apply a Markov chain regime-switching framework with state-dependent jump intensities, diffusion volatilities and diffusion correlations. The key model feature that a switch to the bad contagion regime is triggered by a loss in one of the risky assets allows for the implementation of a hedging demand against contagion risk. Moreover, a state-dependent diffusion correlation combined with heterogeneity in jump intensities and volatilities can, e.g., generate a flight to quality effect upon a systemic jump.     

The Impact of No-Fault Legislation on Automobile Insurance

Abstract

Since its inception, the effectiveness of no-fault legislation has been highly debated. Although some research suggests that no-fault laws are effective in reducing costs, other evidence suggests that the current no-fault systems may not meet the original objectives. This study provides a detailed assessment of the relation of no-fault laws and automobile insurance losses for the period 1994 to 2007. By examining total automobile insurance losses along with liability and personal injury protection losses, we are able to determine if and how specific provisions of the laws are related to claims costs. We find a negative relation between the presence of a no-fault law and total losses, which suggests that no-fault systems are associated with lower losses than the traditional tort system. In addition, an examination of no-fault-only states suggests that specific provisions of no-fault laws, such as thresholds and limitations on benefits, have some effect on losses. With the sunset of Colorado’s no-fault legislation in 2003, the recent passage of Personal Injury Protection Reform in Florida, and proposed federal choice legislation, the overall impact of no-fault as well as the specific components of the laws are of heightened importance to consumers, insurers, and lawmakers.     

Rank reduction of correlation matrices by majorization

A novel algorithm is developed for the problem of finding a low-rank correlation matrix nearest to a given correlation matrix. The algorithm is based on majorization and, therefore, it is globally convergent. The algorithm is computationally efficient, is straightforward to implement, and can handle arbitrary weights on the entries of the correlation matrix. A simulation study suggests that majorization compares favourably with competing approaches in terms of the quality of the solution within a fixed computational time. The problem of rank reduction of correlation matrices occurs when pricing a derivative dependent on a large number of assets, where the asset prices are modelled as correlated log-normal processes. Such an application mainly concerns interest rates.     

Monitoring the future. Building an early warning system for the Dutch Ministry of Justice

To determine the sustainability of the policy, an Early Warning System (EWS) has been developed for the Dutch Ministry of Justice. An EWS is used to monitor various developments and to place them within the perspective of future scenarios. Without actually predicting the future, this makes it possible to determine which scenario is the most relevant at any given moment, allowing the department to adapt its policies. Regular modifications to the EWS make it possible to monitor in the direction of which scenario society appears to be moving. This creates a path to the future with which the sustainability of (new) policies can be tested periodically.