ON THE CONSISTENCY OF REGRESSION‐BASED MONTE CARLO METHODS FOR PRICING BERMUDAN OPTIONS IN CASE OF ESTIMATED FINANCIAL MODELS

In many applications of regression‐based Monte Carlo methods for pricing, American options in discrete time parameters of the underlying financial model have to be estimated from observed data. In this paper suitably defined nonparametric regression‐based Monte Carlo methods are applied to paths of financial models where the parameters converge toward true values of the parameters. For various Black–Scholes, GARCH, and Levy models it is shown that in this case the price estimated from the approximate model converges to the true price.     

Consuming Alone: Broadening Putnam's “Bowling Alone” Thesis

Despite the popularity of Wi‐Fi technologies and social networks, many residents in developed nations are more socially isolated now than a few decades ago. Applying fuzzy‐set qualitative comparative analysis, using a nationally representative sample in one developed nation this study investigates the relationship between social isolation and advice‐giving and advice‐seeking behaviors with regard to brands or products. This study raises the proposition that people who are socially isolated lack the opportunity to give and seek advice, and, thus, abstain from doing so. Additionally, the study proposes that lacking ability or motivation also represent causal conditions for isolation. The study also investigates consumer behavior outcomes of low advice‐giving and advice‐seeking behaviors; that is, pampering and status buying. The findings from an analysis of an omnibus annual survey of residents in one nation support the propositions that the study proposes from theory and are likely relevant for residents of most developed nations.     

The use of ex-ante modelling tools in European Impact Assessment: What role does land use play?

Impact Assessment was introduced by the European Commission in 2002 in order to make policy development more transparent and improve the ‘quality’ of European policies. Cross-sectoral consultation, broad participation and the quantitative assessment of the impacts of policies are significant elements of this process. This article specifically addresses the role of tools modelling the impact of policies on land use in Impact Assessment. The choice of a specific modelling tool is conceptualised as an action situation interlinked with other action arenas. The article aims to uncover the institutions structuring the action situation. The outcome of the empirical work suggests that two types of Impact Assessments can be distinguished. Impact Assessments either substantively contribute to the specific policy that the Commission proposes or they legitimise policy choices ex post that have already been adopted. The legislative procedure that applies to a specific policy sector, the policy making culture in the DG and the stakes that are at issue seem to influence whether Impact Assessments contribute to policy development, or legitimise it. Furthermore, the article describes the situation in which desk officers choose a modelling tool throughout Impact Assessment. To advance their careers desk officers aim to produce policy proposals which respond to the issues raised by the actors involved in Impact Assessment and specifically in policy development and, later on, adoption. Therefore, desk officers’ preferences are shaped by the community that is involved in policy development and Impact Assessment. The article describes what role modelling tools play in European Impact Assessment procedures and it names the heuristic of criteria which desk officers use to choose a modelling tool. Besides several technical and data problems of modelling land use impact, it seems to be unlikely that land use will become a significant dimension of Impact Assessment and modelling as it is confronted with an unfavourable institutional environment at the European level.     

Entrepreneurial resource acquisition via personal networks: an empirical study of German start-ups

This paper presents a resource-based theoretical model for an extended version of the network success hypothesis. It derives four main hypotheses for the relationships between resources obtained from personal networks of the founders and a new venture's success. The model takes into account a broad range of control variables. In the empirical study, based on a sample of 123 German entrepreneurs, we do not find much support for our hypotheses. We conclude that, quite in contrast to most existing theories, network links have close to no impact on getting cheap or exclusive resources.     

Initiating Negotiations: The Role of Machiavellianism, Risk Propensity, and Bargaining Power

Initiation is an often-overlooked yet essential stage of the negotiation process. This study examined the effects of two measures of personality—Machiavellianism and risk propensity—and relative bargaining power (as based on multiple situational factors) on three phases of the initiation process—engaging a counterpart, making a request, and optimizing the request. Using a multi-scenario approach, one hundred fifteen participants indicated their initiation preferences for three distinct negotiations. The results of repeated measures ANOVAs indicate that bargaining power influences an individual’s decision to initiate negotiations. In addition, those high in Machiavellianism choose to initiate negotiations even when relative bargaining power is low, whereas those high in risk propensity tend to optimize their requests. The implications of these findings for practitioners and future research are discussed.     

Getting a feel for price affect: A conceptual framework and empirical investigation of consumers' emotional responses to price information

Behavioral pricing research is cognitively biased. Therefore, the research agenda for this paper is to examine consumers' emotional responses to price information, or price affect. A conceptual framework of price affect based on appraisal theory is proposed. Moreover, a psychometric measure of price affect capturing positive and negative emotions is derived. A field experiment involving N = 1533 consumers reveals that a price increase leads to changes in price affect. Also, negative price affect is related to passive consumer behavior, whereas positive price affect is associated with proactive consumer behavior. Yet, a price increase reduces the importance of price affect in predicting consumer behavior. In addition, both price cognitions and price affect mediate the effect of a price increase on consumer behavior. Consistent with appraisal theory, a price increase exerts its causal influence on price affect through changes in price cognitions. Similarly, price affect mediates the effect of price cognitions on consumer behavior. Finally, price affect improves the prediction of consumer behavior beyond price cognitions. Results suggest that price affect is a stand alone, previously overlooked predictor of consumer behavior. Implications are discussed. © 2008 Wiley Periodicals, Inc.