882 resultados para Portfolio manager


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Purpose – The purpose of this paper is to explore the role of facilities managers in sustainable practice. It also analyzes the change in facilities management (FM) in terms of sustainability.

Design/methodology/approach – This research adopted a combination of literature review and expert interviews. Empirical data were collected through in-depth interviews with 40 industrial experts in the UK and Ireland.

Findings – The analysis of interview results shows a sustainable movement in the context of FM. Facilities managers play important roles in sustainable practice, including integrating all sustainability considerations, linking strategic level with operational level, incorporating FM knowledge and experience into design, disseminating sustainable knowledge and educating people and encouraging sustainability through innovation.

Research limitations/implications – This research goes beyond the limitations of existing studies that are characterized by a lack of positioning facilities managers in sustainability.

Practical implications – Sustainable delivery represents a direction of FM development. This research describes what facilities managers can do and how they should do for sustainable delivery of FM, based on which improvements are made and benefits are maximized.

Originality/value – This research provides a deeper insight into the FM role in the sustainable agenda. The findings of this research help industrial practitioners and academic researchers to better understand sustainable FM.

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The scale of BT's operations necessitates the use of very large scale computing systems, and the storage and management of large volumes of data. Customer product portfolios are an important form of data which can be difficult to store in a space efficient way. The difficulties arise from the inherently structured form of product portfolios, and the fact that they change over time as customers add or remove products. This paper introduces a new data-modelling abstraction called the List_Tree. It has been designed specifically to support the efficient storage and manipulation of customer product portfolios, but may also prove useful in other applications with similar general requirements.

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Renewable energy generation is expected to continue to increase globally due to renewable energy targets and obligations to reduce greenhouse gas emissions. Some renewable energy sources are variable power sources, for example wind, wave and solar. Energy storage technologies can manage the issues associated with variable renewable generation and align non-dispatchable renewable energy generation with load demands. Energy storage technologies can play different roles in each of the step of the electric power supply chain. Moreover, large scale energy storage systems can act as renewable energy integrators by smoothing the variability. Compressed air energy storage is one such technology. This paper examines the impacts of a compressed air energy storage facility in a pool based wholesale electricity market in a power system with a large renewable energy portfolio.

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We propose a new method for estimating the covariance matrix of a multivariate time series of nancial returns. The method is based on estimating sample covariances from overlapping windows of observations which are then appropriately weighted to obtain the nal covariance estimate. We extend the idea of (model) covariance averaging o ered in the covariance shrinkage approach by means of greater ease of use, exibility and robustness in averaging information over different data segments. The suggested approach does not su er from the curse of dimensionality and can be used without problems of either approximation or any demand for numerical optimization.

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L'objectif principal de notre recherche vise à concevoir un portfolio d'apprentissage pour documenter le développement des compétences de l'élèves à l'intérieur de plusieurs cours du programme de Techniques de design de présentation. Dans le cadre du présent essai, un portfolio d'apprentissage en version électronique, a été conçu à travers une recherche développement. Le Carnet+ est constitué de huit dimensions qui s'articulent entre elles, formant l'architecture de l'outil numérique proposé. Ce portfolio est inspiré des outils conçus et expérimentés par des enseignantes et des enseignants du collégial Bousquet (2006) et Lavoie et Giroux (2009). Le portfolio d'apprentissage conçu a été validé auprès de quatre expertes de l'ordre collégial à l'aide d'un questionnaire et d'une entrevue téléphonique enregistrée. Les données recueillies auprès des expertes ont fait émerger plusieurs points positifs à l'égard du Carnet+ développé, dont sa structure fonctionnelle, sa convivialité et son côté novateur. Le prototype final intègre les propositions qui ont été formulées par des expertes, entre autres, des questionnements par les pairs, des hyperliens qui ont été ajoutés dans les fiches de bilan afin de mieux situer le niveau de développement des compétences de l'élève. Cet essai a permis de développer le Carnet+, un outil d'évaluation qui recueille et rend compte du développement des compétences de l'élève. Ce portfolio, que nous avons élaboré, permettra à l'enseignante et à l'enseignant de mieux suivre le niveau de développement des compétences qui s'échelonnent dans le temps tout en guidant l'élève.

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This study postulates that performance appraisal will be effective to the extent that managers and subordinates have a shared perception of its purpose and function and the degree to which it meets the needs of both groups. A two part research project was conducted to: 1) identify manager/subordinate perceptions of the purposes served by the formal performance appraisal process; 2) determine the extent to which these purposes are being satisfied in organizational practice; and 3) assess if managers and subordinates have a shared perception of the effectiveness of the appraisal process. The sample for the study included 36 managers and 143 subordinates from a division of a large Midwest service organization. The results were mixed with regard to the appraisal system effectively accomplishing its diverse goals. However, in general, there was support for the notion that both managers and subordinates find the appraisal process to be a worthwhile organizational practice. Approximately 70% of the respondents indicated that they would participate in the appraisal program whether they were required to do so or not.

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This paper examines the role of higher-order moments in portfolio choice within an expected-utility framework. We consider two-, three-, four- and five-parameter density functions for portfolio returns and derive exact conditions under which investors would all be optimally plungers rather than diversifiers. Through comparative statics we show the importance of higher-order risk preference properties, such as riskiness, prudence and temperance, in determining plunging behaviour. Empirical estimates for the S&P500 provide evidence for the optimality of diversification.

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As it is well known, competitive electricity markets require new computing tools for power companies that operate in retail markets in order to enhance the management of its energy resources. During the last years there has been an increase of the renewable penetration into the micro-generation which begins to co-exist with the other existing power generation, giving rise to a new type of consumers. This paper develops a methodology to be applied to the management of the all the aggregators. The aggregator establishes bilateral contracts with its clients where the energy purchased and selling conditions are negotiated not only in terms of prices but also for other conditions that allow more flexibility in the way generation and consumption is addressed. The aggregator agent needs a tool to support the decision making in order to compose and select its customers' portfolio in an optimal way, for a given level of profitability and risk.

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Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors’ research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player’s portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and offpeak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator – OMIE.