Oil price forecasting under asymmetric loss

Based on the approach developed by Elliott et al. (2005), we found that the loss function of a sample of oil price forecasters is asymmetric in the forecast error. Our findings indicate that the loss oil price forecasters incurred when their forecasts exceeded the price of oil tended to be larger than the loss they incurred when their forecast fell short of the price of oil. Accounting for the asymmetry of the loss function does not necessarily make forecasts look rational.     

The framing of product ideas in the making: a case study of the development of an energy saving pump

Research regarding work with ideas in industrial settings has predominantly treated ideas as rather stable ‘black boxes’. This article contributes a new understanding of idea work and seeks to expand our understanding of how a product concept is constituted and synthesised through socio-material interaction of organisational members and engagement in idea work. The article contributes a case study of the development process behind the energy-saving Alpha Pro circulator launched by the Danish pump manufacturer Grundfos. Based on an analysis of how organisational players engage in the controversial and shifting understandings of what seems to constitute a successful product, the article offers a new perspective on navigating the players’ ideas in the political processes of innovation. It suggests that navigation of technological frames can offer a new perspective to make explicit the implicated actors’ world views, including what they perceive as relevant problems and related strategies for solving them.     

Product development as reading and writing doings within sociotechnical practices: the reciprocity between engineers and artefacts

This ethnographic study aims at understanding how product development of wind turbine controls unfolds as ongoing engineer-artefact reciprocity. We adopt a Deweyan constructionist and Science-Technology-Society approach to contribute to product development and sociomaterial studies by emphasising the role of reciprocity between engineers' experience and artefacts through reading and writing doings. Reading doings involve texts such as specifications, minutes, sketches and components. Writing doings create/modify the same type of texts. In one project, convergent reciprocity enabled the development. Another project's development was blocked, restarted and completed internally at the producer. Enablers included repositioning of working practices, application of various artefacts/tools, heterogeneous engineers and creation of common ground. Constraints involved lack of openness, too malleable artefacts, no common ground and radical change of the development trajectory. The engineers' learning depends on these constraints and enablers. Three types of reciprocity occur: convergent, faded away and blocked.     

Understanding the adoption of new brands through salespeople: a multilevel framework

So far there has been scant empirical attention paid to the role of the sales force in the adoption of new brands in the early implementation stages. We test a framework of internal (sales manager and salespeople) brand adoption using an empirical multilevel study. Our findings suggest that the construct of expected customer demand (ECD) plays an important role in sales force brand adoption. First, ECD directly influences salespeople’s and sales managers’ brand adoption. Second, ECD serves as a cross-level moderator of new brand adoption transmission. We find the influence of sales managers’ brand adoption on salespeople’s brand adoption to be stronger when salespeople’s ECD is lower.     

Effort maximization in asymmetric contest games with heterogeneous contestants

Contest rules are set up by administrators who frequently have discretionary power in specifying the details of these rules, i.e., they can bias the contest rules toward specific contestants in order to further their prime objective. We derive the optimal bias of the contest rule for a contest administrator, who is interested in maximizing the total efforts expended in the contest. The solution is obtained in closed form for a widely used class of n-person contest games. Setting the optimal bias has important implications: (i) there is never exclusion of strong players, instead there is (endogenously induced) inclusion of weak contestants; (ii) the contest administrator will optimally level the playing field by encouraging weak contestants, but he will not equalize the contestants’ chances unless they are identical; and (iii) at least three contestants will be active in equilibrium of the optimal contest, irrespective of heterogeneity.     

Time-Varying Leverage and Basel III: A Look at Canadian Evidence

Why did the conventional leverage indicators not pick up any meaningful signal of the mounting systemic risk before the subprime crisis? They remained almost unchanged in recent decades, whereas the banking landscape underwent a tremendous metamorphosis. Market-oriented banking is characterized by a new type of systemic risk, a risk which essentially evolves off the radar screen, i.e., off-balance sheet (OBS) (Calmès and Théoret Journal of Banking and Finance 34 (7): 1719–1728, 2010, 2011). In this article, we argue that the standard leverage indicators are not fitted to capture this kind of new banking risk. We introduce a new empirical framework which enables us to exploit the cyclical properties of elasticity leverage measures, while at the same time controlling for the noisy information they usually deliver. In a nutshell, thanks to the Kalman filter, we are able to compute optimal levels of bank leverage. This methodology delivers cyclical, forward-looking measures signalling systemic risk bubbles years before their burst. By properly accounting for all activities, including market-oriented banking, these time-varying leverage measures tend to systemically capture regulatory capital arbitrage and the OBS risk it entails.     

Multidimensionales Verfahren zur Bestimmung des Regelleistungsbedarfes unter Berücksichtigung von Unsicherheiten

One of the most crucial constraints in operation of electrical power supply systems is the permanent balance between generation and load. Reserve power is held ready to be able to keep this balance also in case of the occurrence of unpredictable events like power plant outages or inevitable deviations of power injections from their predicted values. At this, the allocation of operating reserves is in the field of conflict between level of reliability and cost effectiveness. The amount of reserve generation capacity required in a control area heavily depends on prediction quality which constitutes the need for high quality predictions. This article is about the influence of prediction quality on the amount of reserve generation capacity required in a control area. The algorithms for the assessment of required reserve generation capacity known from literature use the variation calculus technique to account for the aforementioned unpredictable events and prediction errors. In this article, an extension to a convolution-based method is presented in which the uncertainties of the predictions are expressed using intervals. Each parameter is represented by an independent dimension, assuming statistical independence among them. This allows the distinct analysis of each parameter’s influence on the amount of required reserve generation capacity. In addition, two methods for the visualization of the multi-dimensional results are presented, allowing a comprehensive analysis of the parameters’ influences. Standard distribution functions are used to represent the parameters for the simulation and the results are shown as probability density functions of possible imbalances. Based on forecasts of the development of conventional power plants and regenerative generation in the years 2020, 2030 and 2040, the required control power of the future German transmission system is calculated. Influences and dependencies are identified with the extended convolution-based method.