PRICING DERIVATIVES ON MULTISCALE DIFFUSIONS: AN EIGENFUNCTION EXPANSION APPROACH

Using tools from spectral analysis, singular and regular perturbation theory, we develop a systematic method for analytically computing the approximate price of a large class of derivative‐assets. The payoff of the derivative‐assets may be path‐dependent. In addition, the process underlying the derivatives may exhibit killing (i.e., jump to default) as well as combined local/nonlocal stochastic volatility. The nonlocal component of volatility may be multiscale, in the sense that it may be driven by one fast‐varying and one slow‐varying factor. The flexibility of our modeling framework is contrasted by the simplicity of our method. We reduce the derivative pricing problem to that of solving a single eigenvalue equation. Once the eigenvalue equation is solved, the approximate price of a derivative can be calculated formulaically. To illustrate our method, we calculate the approximate price of three derivative‐assets: a vanilla option on a defaultable stock, a path‐dependent option on a nondefaultable stock, and a bond in a short‐rate model.     

The relationship between multinationality and performance: Knowledge-intensive vs. capital-intensive service micro-multinational enterprises

This research explores the relationship between multinationality and firm performance (M-P) in the context of micro-multinational enterprises (mMNEs) within the service sector. We examine the moderating effects of industry characteristics using a data set of 1082 Spanish service mMNEs over an eight-year period. The empirical results provide statistical evidence that knowledge-intensive service mMNEs exhibit an inverted U-shaped M-P relationship, while capital-intensive service mMNEs present a U-shaped relationship. Our findings demonstrate that knowledge-intensive service mMNEs increase their performance in the initial stage of multinationality, encounter a threshold of internationalization at relatively low levels of multinationality and have a propensity to over-internationalize. By comparison, capital-intensive service mMNEs experience negative performance effects at low levels of multinationality and positive ones as they further internationalize. Given that their operations are scale-sensitive, they tend to expand internationally by concentrating their operations in few foreign markets as a means to overcome the liabilities of internationalization and smallness. We contribute to the literatures on multinationality research in the service sector and on SME internationalization by showing that the effects of multinationality on the performance of mMNEs depend on industry characteristics and that such contextual factors provide a better understanding of the M-P relationship.     

Managing micropolitical risk: A cross‐sector examination

This article stresses the need for today's multinational firms to adopt their own political risk‐assessment and risk‐mitigation strategies. A comparative study of the energy, financial, and automobile sectors illustrates the need for all companies in these sectors to undertake comprehensive risk‐assessment strategies. Risk‐assessment models established by leading multinationals like British Petroleum, Bank of America, and General Motors are examined as examples that other companies in these sectors can build upon. The consistent micropolitical risk variables then lead to a proposed practical framework for examining sector‐specific micropolitical risk. © 2006 Wiley Periodicals, Inc.     

A systematic review of cost-effectiveness modeling of pharmaceutical therapies in neuropathic pain: variation in practice,key challenges,and recommendations for the future

Objectives: Complexities in the neuropathic-pain care pathway make the condition difficult to manage and difficult to capture in cost-effectiveness models. The aim of this study is to understand, through a systematic review of previous cost-effectiveness studies, some of the key strengths and limitations in data and modeling practices in neuropathic pain. Thus, the aim is to guide future research and practice to improve resource allocation decisions and encourage continued investment to find novel and effective treatments for patients with neuropathic pain.

Methods: The search strategy was designed to identify peer-reviewed cost-effectiveness evaluations of non-surgical, pharmaceutical therapies for neuropathic pain published since January 2000, accessing five key databases. All identified publications were reviewed and screened according to pre-defined eligibility criteria. Data extraction was designed to reflect key data challenges and approaches to modeling in neuropathic pain and based on published guidelines.

Results: The search strategy identified 20 cost-effectiveness analyses meeting the inclusion criteria, of which 14 had original model structures. Cost-effectiveness modeling in neuropathic pain is established and increasing across multiple jurisdictions; however, amongst these studies, there is substantial variation in modeling approach, and there are common limitations. Capturing the effect of treatments upon health outcomes, particularly health-related quality-of-life, is challenging, and the health effects of multiple lines of ineffective treatment, common for patients with neuropathic pain, have not been consistently or robustly modeled.

Conclusions: To improve future economic modeling in neuropathic pain, further research is suggested into the effect of multiple lines of treatment and treatment failure upon patient outcomes and subsequent treatment effectiveness; the impact of treatment-emergent adverse events upon patient outcomes; and consistent and appropriate pain measures to inform models. The authors further encourage transparent reporting of inputs used to inform cost-effectiveness models, with robust, comprehensive and clear uncertainty analysis and, where feasible, open-source modeling is encouraged.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.     

Leadership After Virtue: MacIntyre’s Critique of Management Reconsidered

MacIntyre argues that management embodies emotivism, and thus is inherently amoral and manipulative. His claim that management is necessarily Weberian is, at best, outdated, and the notion that management aims to be neutral and value free is incorrect. However, new forms of management, and in particular the increased emphasis on leadership which emerged after MacIntyre’s critique was published, tend to support his central charge. Indeed, charismatic and transformational forms of leadership seem to embody emotivism to a greater degree than do more Weberian, bureaucratic forms of management; hence, MacIntyre’s central contention about our emotivistic culture seems to be well founded. Having criticised the details but defended the essence of MacIntyre’s critique of management, this paper sketches a MacIntyrean approach to management and leadership by highlighting the affinities between MacIntyre’s political philosophy and Greenleaf’s concept of servant leadership.     

Using the Pack‐and‐a‐Half Rule to Eliminate Backroom Inventories in Retail Operations

In the retail industry, backroom inventories are typically associated with higher labor costs and greater operational complexity. Thus, retailers look for ways to eliminate backroom inventories. A heuristic used for this purpose is the pack‐and‐a‐half rule which suggests that the shelf space allocated for a product should be at least 50% larger than the case pack quantity in which the product is delivered. Despite its popularity among retailers, the pack‐and‐a‐half rule has been ignored in the academic literature. We introduce the pack‐and‐a‐half rule, assess its impact on a retailer's profits, identify cost, demand, and product characteristics driving this impact, and propose a modification. Based on an analysis of data obtained from a retailer on 1,986 SKUs in 20 categories, we find that the pack‐and‐a‐half rule decreases a retailer's profits, on average, by 10% when applied uniformly across all SKUs. Further, this decrease is significantly affected by product depth, product width, demand elasticity, case pack quantity, and inventory carrying cost. Finally, we develop a set of modifications based on these variables where the pack‐and‐a‐half rule is applied selectively and in a stepwise fashion. These modifications limit the decrease in a retailer's profits to a range between 6% and 7%.     

INDIFFERENCE PRICES AND IMPLIED VOLATILITIES

We consider a general local‐stochastic volatility model and an investor with exponential utility. For a European‐style contingent claim, whose payoff may depend on either a traded or nontraded asset, we derive an explicit approximation for both the buyer's and seller's indifference prices. For European calls on a traded asset, we translate indifference prices into an explicit approximation of the buyer's and seller's implied volatility surfaces. For European claims on a nontraded asset, we establish rigorous error bounds for the indifference price approximation. Finally, we implement our indifference price and implied volatility approximations in two examples.     

Mutual fund corporate culture and performance

In this paper we test if a mutual fund's own corporate culture predicts fund performance. To do this we use Morningstar's corporate culture ratings for mutual funds and then examine the ability of these corporate culture ratings to predict risk-adjusted performance of domestic equity funds over the period 2005–2010. Using methods that are robust to survivorship bias, we find there is little significant evidence that corporate culture predicts better fund performance. Indeed, we find that no individual component of the Morningstar stewardship rating including board quality, fees, manager incentives and regulatory issues is able to consistently predict fund performance.