Relevant bibliographies by topics / Portfolio definition

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Portfolio definition'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 February 2022

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Journal articles on the topic "Portfolio definition"

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Cole, Gary. "The definition of 'portfolio'." Medical Education 39, no. 11 (November 2005): 1141. http://dx.doi.org/10.1111/j.1365-2929.2005.02327.x.

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Jiang, Wei Na, Bin Shan Ju, Guang Hua Zhai, Ya Qiang Chen, and Liang Wei. "Study on Application of Markowitz’s Portfolio Selection Theory in Overseas Petroleum Venture Investment Decision." Advanced Materials Research 1051 (October 2014): 1045–50. http://dx.doi.org/10.4028/www.scientific.net/amr.1051.1045.

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Markowitz’s portfolio selection theory was applied in overseas petroleum venture capital investment, the mean of each project’s AT cash was used as the portfolio’s return, the fluctuate rate return of project was used to reflect portfolio’s risk, the combination of minimum risk portfolio optimization decision model was established. A variety of risk definition method were explored, efficient frontier under variety of risk-defined were developed, according to different risk preferences, the investment decision-makers can choose optimal portfolio to maximize investment, so as to reduce and avoid undue loss.
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Stoilov, Todor, Krasimira Stoilova, and Miroslav Vladimirov. "Explicit Value at Risk Goal Function in Bi-Level Portfolio Problem for Financial Sustainability." Sustainability 13, no. 4 (February 20, 2021): 2315. http://dx.doi.org/10.3390/su13042315.

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The mean-variance (MV) portfolio optimization targets higher return for investment period despite the unknown stochastic behavior of the future asset returns. That is why a risk is explicitly considering, quantified by algebraic characteristics of volatilities and co-variances. A new probabilistic definition of portfolio risk is the Value at Risk (VaR). The paper makes explicit inclusion and minimization of VaR as a quantitative measure of financial sustainability of a portfolio problem. Thus, the portfolio weights as problem solutions will respect not only the MV requirements for risk and return, but also the additional minimization of risk defined by VaR level. The portfolio problem is defined in a new, bi-level form. The upper level minimizes and evaluates the VaR value. The lower level evaluates the optimal assets weights by minimizing portfolio risk and maximizing the return in MV form. The bi-level model allows to have extended set of portfolio solutions with the portfolio weights and the value of VaR. Graphical interpretation of this bi-level definition of the portfolio problem explains the differences with the MV portfolio definition. Thus, the bi-level portfolio problem evaluates the optimal weights, which makes maximization of portfolio return and minimization of the risk in its algebraic and probabilistic form of definition.
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Sornarajah, M. "Portfolio Investments and the Definition of Investment." ICSID Review 24, no. 2 (September 1, 2009): 516–20. http://dx.doi.org/10.1093/icsidreview/24.2.516.

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Das, Sanjiv, Harry Markowitz, Jonathan Scheid, and Meir Statman. "Portfolio Optimization with Mental Accounts." Journal of Financial and Quantitative Analysis 45, no. 2 (February 19, 2010): 311–34. http://dx.doi.org/10.1017/s0022109010000141.

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AbstractWe integrate appealing features of Markowitz’s mean-variance portfolio theory (MVT) and Shefrin and Statman’s behavioral portfolio theory (BPT) into a new mental accounting (MA) framework. Features of the MA framework include an MA structure of portfolios, a definition of risk as the probability of failing to reach the threshold level in each mental account, and attitudes toward risk that vary by account. We demonstrate a mathematical equivalence between MVT, MA, and risk management using value at risk (VaR). The aggregate allocation across MA subportfolios is mean-variance efficient with short selling. Short-selling constraints on mental accounts impose very minor reductions in certainty equivalents, only if binding for the aggregate portfolio, offsetting utility losses from errors in specifying risk-aversion coefficients in MVT applications. These generalizations of MVT and BPT via a unified MA framework result in a fruitful connection between investor consumption goals and portfolio production.
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Deng, Xue, Tao Lin, and Chuangjie Chen. "Comparison and Research on Diversified Portfolios with Several Entropy Measures Based on Different Psychological States." Entropy 22, no. 10 (October 4, 2020): 1125. http://dx.doi.org/10.3390/e22101125.

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In previous studies, there were few portfolio models involving investors’ psychological states, market ambiguity and entropy. Some entropy can make the model have the effect of diversifying investment, which is very important. This paper mainly studies four kinds of entropy. First, we obtained four definitions of entropy from the literature, and gave the function of fuzzy entropy in different psychological states through strict mathematical proof. Then, we construct a fuzzy portfolio entropy decision model based on the investor’s psychological states, and compared it with the possibilistic mean–variance model. Then we presented a numerical example and compared the five different models established. By comparing the results, we find that: (a) The possibilistic mean–Shannon entropy model solves the problem of the possibility of excessive concentration in the possibilistic mean–variance model, but the dispersion is not enough. Conversely, the possibilistic mean–Yager entropy is over–emphasized due to the definition of its own function, such that it gave an investment pattern of equal weight distribution or approximate average distribution. (b) The results of possibilistic mean–proportional entropy can be said to be the middle status of the portfolios of possibilistic mean–Shannon entropy and possibilistic mean–Yager entropy. This portfolio not only achieves a certain rate of return, but also disperses the risk to some extent. (c) The lines of satisfaction for portfolios derived from different models are approximately U–shaped with the increase in return preference. (d) The possibilistic mean–Shannon entropy model tends to have the highest portfolio satisfaction with the same psychological state of the investor.
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Huang, Xiaoxia. "Portfolio selection with a new definition of risk." European Journal of Operational Research 186, no. 1 (April 2008): 351–57. http://dx.doi.org/10.1016/j.ejor.2007.01.045.

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Luo, Ronghua, Yi Liu, and Wei Lan. "A penalized expected risk criterion for portfolio selection." China Finance Review International 9, no. 3 (August 19, 2019): 386–400. http://dx.doi.org/10.1108/cfri-12-2017-0226.

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Purpose Under the classical mean-variance framework, the purpose of this paper is to investigate the properties of the instability of minimal variance portfolio and then propose a novel penalized expected risk criterion (PERC) for optimal portfolio selection. Design/methodology/approach The proposed method considers not only a portfolio’s expected risk, but also its instability that is quantified by the variance of the estimated portfolio weights. This study tests the out-of-sample performance of various portfolio selection methods on both China and US stock markets. Findings It is very useful to control portfolio stability in real application of portfolio selection. The empirical results on both US and China stock markets show that PERC portfolio effectively controls turnover and consequently the transaction cost, and that is why it is so competing compared with other alternative methods. Research limitations/implications The findings suggest that the rebalancing turnover and the associated transaction cost that is usually ignored in theoretical analysis play a very important role in real investment. Practical implications For investors, especially institutional investors, the rebalancing turnover and corresponding transaction cost must be carefully addressed. The variance of the estimated portfolio weights is a good candidate to quantify portfolio instability. Originality/value This study addresses the important role of portfolio instability and proposes a novel expected risk criterion for portfolio selection after the quantitative definition of portfolio instability.
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Büchele, Richard, Lukas Kranzl, Michael Hartner, and Jeton Hasani. "Opportunities and Challenges of Future District Heating Portfolios of an Austrian Utility." Energies 13, no. 10 (May 15, 2020): 2457. http://dx.doi.org/10.3390/en13102457.

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In this paper, opportunities and challenges of concrete portfolio options of an Austrian district heating (DH) supplier are assessed against the background of current challenges of the DH sector. The following steps are performed: (1) analysis of status quo; (2) analysis of current and possible future economic framework conditions; (3) definition of four concrete future portfolio options for investment planning until the year 2030; (4) modeling of status quo and future portfolios together with the respective framework conditions in a linear dispatch optimization model; and (5) perform techno-economic analysis for each portfolio under the different possible future framework conditions. The expected increase in renewable power generation capacity is likely to increase volatility in future electricity prices with hours of both very low and very high prices. This higher volatility results in higher technical flexibility requirements for the heat generation plants and a need for heat generation portfolios to respond to both high and low electricity prices. The results indicate that the combination of heat pumps and combined heat and power (CHP) plants is well suited to cope with these challenges from a microeconomic point of view. At the same time, we show that a shift to a high share of renewables of more than 60%, implying a complete exit of gas fired CHPs, is also feasible with costs in a very similar range as the current DH generation portfolio.
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Muradova, Z. R. "MAIN DIRECTIONS FOR IMPROVING THE PORTFOLIO STRATEGY IN THE REAL ESTATE MARKET." Chronos 6, no. 3(53) (March 13, 2021): 74–77. http://dx.doi.org/10.52013/2658-7556-53-3-15.

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The article analyzes the main participants of the real estate market, presents the classification of real estate objects, clarifies the definition of the real estate portfolio, considers the main stages of managing the real estate portfolio and defines the main directions for improving the portfolio strategy in the real estate market.
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Dissertations / Theses on the topic "Portfolio definition"

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Malherbe, Daniel Marthinus Van Zyl. "A definition of project portfolio management based on a multiple perspective analysis." Thesis, Stellenbosch : Stellenbosch University, 2011. http://hdl.handle.net/10019.1/21786.

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Thesis (MBA)--Stellenbosch University, 2011.
Organisations are continuously involved in the process of selection, prioritisation and execution of projects in order to achieve some stated objective, within the constraints of a finite set of resources. The problem that many organisations face is how to go about making the decisions to maximise the value of the investment in these projects. Project Portfolio Management (PPM) is a management concept that facilitates and support the decision-making processes to ensure that the optimal mix of projects in a portfolio supporting a particular organisational objective. However, there is no generally accepted standard definition of PPM. This absence of an accepted definition can lead to confusion when organisations implement PPM. A well-defined, accepted standard supported by qualifying criteria will thus enable organisations to make informed decisions about the application of PPM. It will also lead to a better understanding of the PPM value proposition. The purpose of this report is to define exactly PPM entails. It recommends a standard definition that will enable an organisation to understand the use and benefit of PPM. The author reviewed the many different definitions of PPM from different perspectives namely: academic literature, industry bodies, popular press, software vendors and consulting groups. A critical review of the literature was performed to clearly define the concept. All of the different definitions were reviewed and compared within, and amongst, the different perspectives. The final definition of project portfolio management is presented as follows: Project Portfolio Management is a strategic management concept with the objective of ensuring that the portfolio of projects is aligned with and support the organisational strategy. This is done through the integration of strategic and operational management levels within the organisation. An important insight of the research is that projects, and portfolios of projects, can be considered as change initiatives and investments the organisation has made, or plans to make in future. Within this context PPM is positioned on a strategic management level within the organisation to assist in bringing about the change in the correct manner. PPM involves a dynamic decision-making process (defined in this report) where the selection and prioritisation of projects to be executed is done within the constraints of a limited pool of available resources. The selection and prioritisation of projects is determined by a defined set of criteria discussed in this report.
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Pitorri, Fabio. "Project portfolio management: an analysis from the insurance industry IT area." reponame:Repositório Institucional do FGV, 2014. http://hdl.handle.net/10438/13386.

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This paper aims to bring more information related to the critical question 'how IT areas of insurance companies are defining and delivering their strategic initiatives Portfolios?' and make conclusions based on the collected data. To reach these interpretations, it is composed of a theoretical investigation on the theme, a strategy delineation for the research methodology and a conclusion presentation based on the findings. In this last part, this study concluded that explored organization does not applied a sufficient number of best practices answering the critical question as 'the company is not mature on this subject'.
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Cluzel, François. "Eco-design implementation for complex industrial system : From scenario-based LCA to the definition of an eco-innovative R&D projects portfolio." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00760580.

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Face to the growing awareness of environmental concerns issued from human activities, eco-design aims at offering a satisfying answer in the products and services development field. However when the considered products become complex industrial systems, there is a lack of adapted methodologies and tools. These systems are among others characterised by a large number of components and subsystems, an extremely long and uncertain life cycle, or complex interactions with their geographical and industrial environment. This change of scale actually brings different constraints, as well in the evaluation of environmental impacts generated all along the system life cycle (data management and quality, detail level according to available resources...) as in the identification of adapted answers (management of multidisciplinary aspects and available resources, players training, inclusion in an upstream R&D context...). So this dissertation aims at developing a methodology to implement ecodesign of complex industrial systems. A general methodology is first proposed, based on a DMAIC process (Define, Measure, Analyse, Improve, Control). This methodology allows defining in a structured way the framework (objectives, resources, perimeter, phasing...) and rigorously supporting the ecodesign approach applied on the system. A first step of environmental evaluation based on Life-Cycle Assessment (LCA) is thus performed at a high systemic level. Given the complexity of the system life cycle as well as the exploitation variability that may exist from one site to another, a scenario-based approach is proposed to quickly consider the space of possible environmental impacts. Scenarios of exploitation are defined thanks to the SRI (Stanford Research Institute) matrix and they include numerous elements that are rarely considered in LCA, like preventive and corrective maintenance, subsystems upgrading or lifetime modulation according to the economic context. At the conclusion of this LCA the main impacting elements of the system life cycle are known and they permit to initiate the second step of the eco-design approach centred on environmental improvement. A multidisciplinary working group perform a creativity session centred on the eco-design strategy wheel (or Brezet wheel), a resource-efficient eco-innovation tool that requires only a basic environmental knowledge. Ideas generated during creativity are then analysed through three successive filters allowing: (1) to pre-select and to refine the best projects; (2) to build a R&D projects portfolio thanks to a multi-criteria approach assessing not only their environmental performance, but also their technical, economic and customers' value creation performance; (3) to control the portfolio balance according to the company strategy and the projects diversity (short/middle/long term aspect, systemic level...). All this work was applied and validated at Alstom Grid on electrical conversion substations used in the primary aluminium industry. The methodology deployment has allowed initiating a robust eco-design approach recognized by the company and finally generating a portfolio composed of 9 eco-innovative R&D projects that will be started in the coming months.
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Zeller-Powell, Christine Elizabeth. "Defining Biomass as a Source of Renewable Energy: The Life-Cycle Carbon Emissions of Biomass Energy and a Survey and Analysis of Biomass Definitions in States' Renewable Portfolio Standards, Federal Law, and Proposed Legislation." Thesis, University of Oregon, 2011. http://hdl.handle.net/1794/11483.

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xii, 97 p.
Electricity generated from woody biomass material is generally considered renewable energy and has been considered carbon neutral. However, recent criticism from scientists argues that the greenhouse gas (GHG) emission profile of bioenergy is nuanced and the carbon neutral label is inappropriate. An initial carbon debt is created when a forest is harvested and combusted for bioenergy. Because forests re-grow over a period of years, life cycle analyses show that bioenergy generated from whole trees from forests may not reduce GHG emissions in the short term, as required to combat climate change. State renewable portfolio standards and federal laws and proposed legislation designed to incentivize renewable energy typically define eligible forms of biomass that qualify for these incentives. Most of these definitions are very broad and do not account for GHG emissions from bioenergy. Federal and state laws should incorporate life cycle analyses into definitions of eligible biomass so that these laws incentivize biomass electricity that reduces GHG emissions in the next several decades.
Committee in charge: Roberta Mann, Chairperson; Scott Bridgham, Member
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Zháňalová, Lucie. "Analýza trhu a konkurence s nealkoholickými nápoji." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2009. http://www.nusl.cz/ntk/nusl-222178.

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The master’s thesis on the topic “Market analysis and competition on the soft drinks market” describes current situation on the market, its structure with the focus on existing competition, it put the accent on the evaluation of the strategy applied by the strongest undertaking on the market, examines a describes distribution channels and analyse the market demand for products including its estimation of the trend in the future. This thesis results from theoretical resources as are general analysis used for the purpose of the market studies oriented on business sector as well as common environment and its own functioning and the thesis is based on the competitive strategy defined by M.E. Porter. Further the thesis is dealing with data resources and methods of data handling, including data collection, classification, segmentation and its following evaluation. Master´s thesis is the guideline for the market analysis and decisions concerning entering new markets and among others gives the answers to the questions concerned the actual situation on the market and subjects that are operation on the market.
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Menéndez, Torre Carlos Alberto, and Rahul Kumar Yadav. "Definition of a methodology to analyze the Product Portfolio Management : Example analysis of the cloud computing market PPM." Thesis, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21260.

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Companies invest their resources into different products. That constellation of products, how they interact with each other, and how they are positioned defines the company's Product Portfolio. Moreover, that constellation of products is critical for the company's financial success. The Product Portfolio evaluation is essential to assess if the company's resources are invested in the most efficient way or if there could be some optimizations that would improve the results. A key outcome is that in order to optimize the Product Portfolio, a company must first evaluate and characterize that portfolio. This work aims to define a methodology for holistically evaluating a company's portfolio by analyzing different parameters. This new methodology will be used in an example market. In this work, we ran the evaluation in the cloud computing market, a new market that is still growing but with few remarkable players that account for more than 50% of the market's total revenues. In the analysis of the cloud computing market and the main suppliers in the market, we will apply the suggested methodology. That would enable to summarize the main characteristics of the leading players' portfolios and provide optimization recommendations that would improve the portfolios' quality and ultimately the results of those companies.
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Books on the topic "Portfolio definition"

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Lo, Andrew W. Trading volume: Definitions, data analysis, and implications of portfolio theory. Cambridge, MA: National Bureau of Economic Research, 2000.

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The prudent investor: The definitive guide to professional investment management. London: McGraw-Hill, 1990.

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Owen, James P. The prudent investor: The definitive guide to professional investment management. Chicago, Ill: Probus Pub. Co., 1990.

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Dushnitsky, Gary. Corporate Venture Capital: Past Evidence and Future Directions. Edited by Anuradha Basu, Mark Casson, Nigel Wadeson, and Bernard Yeung. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199546992.003.0015.

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This article reviews the academic literature on corporate venture capital, that is, minority equity investments by established corporations in privately-held entrepreneurial ventures. It starts with a detailed definition of the phenomenon. An historical background of Corporate Venture Capital (CVC) is presented, followed by an extensive review of CVC investment patterns. The article then presents scholarly findings beginning with firms' objectives, through the governance of their CVC programmes and the relationships with the portfolio companies and ending with a review of corporate, venture and CVC programme performance. The article concludes with directions for future research.
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The Prudent Investor: The Definitive Guide to Professional Investment Management. 2nd ed. Probus Professional Pub, 1993.

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Campbell, McLachlan, Shore Laurence, and Weiniger Matthew. Part II Ambit of Protection, 6 Investment. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780199676798.003.0006.

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Chapter 6 explores the central concept of ‘investment’. It first considers the core question of the definition of ‘investment’ under the ICSID Convention and under investment treaties. It then takes up four important issues: (1) the time when an investment is made in relation to the temporal scope of the treaty protections; (2) the extent to which pre-contract investment may obtain treaty protection; (3) the place of an investment; and (4) the role of host State law in defining ‘investment’. It then analyses a set of problems that arise out of indirect investments: the relation between the losses suffered by a subsidiary in the host State and the investor’s investment; the rights of minority shareholders; claims brought by holding companies; corporate restructuring as a means to gain the advantage of investment treaties; the position of ultimate beneficiaries; and the position of portfolio investments.
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Publishing, Scientific. Illustrated Portfolio of Human Anatomy and Pathology: The Definitive Collection of 30 Anatomical Charts of the Human Body (Medical). Scientific Publishing Ltd., 2003.

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Mazurana, Dyan, Roxanne Krystalli, and Anton Baaré. Gender and Disarmament, Demobilization, and Reintegration. Edited by Fionnuala Ní Aoláin, Naomi Cahn, Dina Francesca Haynes, and Nahla Valji. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199300983.013.35.

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Processes of disarmament, demobilization, and reintegration (DDR) seek to improve the security and stability of post-conflict societies. This chapter explores a gender-focused approach to DDR that has three primary components: conducting gender analyses of standards of support for women in DDR programs; prioritizing parallel programs for women; and demilitarizing masculinity and femininity. Historical difficulties in establishing DDR programs that respond to the needs of women are explained by four challenges: exclusion of women due to restrictive definitions of “combatants”; programming that does not reflect the specific experiences of women; a reluctance to look beyond traditional DDR programs toward alternates; and a failure to address the militarized masculinities of male combatants. The chapter concludes by suggesting that DDR programs move toward a “portfolio view.” This would allow participants greater flexibility to choose the programming that best meets their needs by providing participants a menu of options.
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DeZure, Debora. Interdisciplinary Pedagogies in Higher Education. Edited by Robert Frodeman. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198733522.013.45.

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“Interdisciplinary Pedagogies in Higher Education” explores the increasing integration of goals for interdisciplinary learning in American higher education. The chapter begins with working definitions of interdisciplinary learning and the many factors that have led to its proliferation. It then reviews the elaboration of new methods to teach and to assess interdisciplinary learning, emerging models of interdisciplinary problem-solving, and practice-oriented resources and online tools to assist undergraduate, graduate, and professional students and their instructors with interdisciplinary problem-solving and communications in cross-disciplinary and interprofessional contexts. The chapter concludes with the impact of technology, for example, e-portfolios and other digital and technology-enabled tools, and evidence of an emerging body of scholarship of teaching and learning focused on interdisciplinary learning.
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Book chapters on the topic "Portfolio definition"

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Guerard, John B. "Markowitz and the Expanding Definition of Risk: Applications of Multi-factor Risk Models." In Handbook of Portfolio Construction, 31–60. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-77439-8_2.

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Koppinen, Tiina, and Tony Rosqvist. "Dynamic Project Portfolio Selection in Infrastructure Sector." In Definitions, Concepts and Scope of Engineering Asset Management, 311–26. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84996-178-3_16.

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Huang, Chi-Yo, Chao-Yu Lai, and Gwo-Hshiung Tzeng. "Semiconductor Foundry Technology Life Cycle Strategy Portfolio Definitions of Fabless IC Design Firms by Using the ISM and Fuzzy Integral Method." In Advances in Intelligent Decision Technologies, 665–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14616-9_65.

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"R Language Definition." In Optimal Portfolio Modeling, 233–93. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119197515.app4.

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"Guidance Statement on Composite Definition." In Practical Portfolio Performance Measurement and Attribution, 324–33. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119206309.app6.

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"Definition of Firm Guidance Statement." In Practical Portfolio Performance Measurement and Attribution, 345–50. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119206309.app9.

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"R&D PROJECT PORTFOLIO DEFINITION." In R&D Strategy and Organisation, 113–46. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2001. http://dx.doi.org/10.1142/9781848161634_0004.

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Antchak, Vladimir, Vassilios Ziakas, and Donald Getz. "Conclusions." In Event Portfolio Management. Goodfellow Publishers, 2019. http://dx.doi.org/10.23912/978-1-911396-91-8-4185.

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In this concluding chapter we summarize the major theoretical and practical contributions of the book, and suggest a research agenda to further the understanding and praxis of event portfolio management. An ontological map is first presented (Figure 13.1) that identifies and inter-connects the main concepts and terms used in this book – which we believe reflect the state of art in event portfolio studies. These terms and concepts are categorized as follows: (a) core definition and propositions (being the basis for event portfolio studies); (b) theoretical foundations, and (c) major themes explored in this book that pertain to the planning and management of event portfolios. The ensuing discussion leads to our proposed research agenda and concluding thoughts.
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"Appendix A: Equity vs. Debt Securities: A Global Definition." In Corporate Valuation for Portfolio Investment, 407–9. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118531860.app1.

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Malagon-Barinas, Jaime Hernando. "Model P3S-VB." In Handbook of Research on Project Management Strategies and Tools for Organizational Success, 103–49. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1934-9.ch005.

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This chapter describes and details the P3S-VB model: the Selection of Projects and Programs Portfolio Based on Value. The P3S-VB contributes to the discipline of project management and portfolios, in the definition of the constructs of an appropriate level of incorporation of capabilities, value and technology; identification of the range in which technological capabilities, projects and portfolios can create value; the processes for selecting the portfolio of projects based on value; and the alignment of benefit management and project management. The model was designed keeping the rigor of scientific research, following as a reference the DSR-IS science design method, with a focus on practical applicability.
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Conference papers on the topic "Portfolio definition"

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McVean, J. R. "The Significance of Risk Definition on Portfolio Selection." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/62966-ms.

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2

X., Huang. "A Novel Risk Definition for Portfolio Selection with Uncertain Returns." In 4th International Workshop on Reliable Engineering Computing (REC 2010). Singapore: Research Publishing Services, 2010. http://dx.doi.org/10.3850/978-981-08-5118-7_057.

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3

Spiegel, Isaac A., Tom van de Laar, Tom Oomen, and Kira Barton. "A Control-Oriented Dynamical Model of Deposited Droplet Volume in Electrohydrodynamic Jet Printing." In ASME 2020 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/dscc2020-3238.

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Abstract Electrohydrodynamic jet printing (e-jet printing) is a nascent additive manufacturing process most notable for extremely high resolution printing and having a vast portfolio of printable materials. These capabilities make e-jet printing promising for applications such as custom electronics and biotechnology fabrication. However, reliably fulfilling e-jet printing’s potential for high resolution requires delicate control of the volume deposited by each jet. Such control is made difficult by a lack of models that both capture the dynamics of volume deposition and are compatible with the control schemes relevant to e-jet printing. This work delivers such a model. Specifically, this work introduces a definition of “droplet volume” as a dynamically evolving variable rather than a static variable, and uses this definition along with analysis of high speed microscope videos to develop a hybrid dynamical system model of droplet volume evolution. This model is validated with experimental data, which involves the contribution of a novel technique for extracting consistent droplet volume measurements from videos.
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Dose, Thies, and Gunar Kachel. "Business-Oriented Reserves and Resource Management - Experiences from a Merger." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206322-ms.

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Abstract In May 2019, the merger between Wintershall GmbH and DEA Deutsche Erdoel AG was closed, which was the start of Wintershall Dea.This paper provides detailed insight into managing reserves and resource information during this merger. After merger, three resource management activities required attention: (i) combining existing resources reporting, (ii) defining a lean but effective resources management and control system, and (iii) ensuring readiness for Initial Public Offering (IPO) by establishing an external independent evaluation of resources ("external resource audit"). This paper describes objectives, challenges and solutions on reserves and resources reporting of the new company. The merged reserves and resources database of the previous year's reports had to consider audits from two different reporting systems in parallel to four different external auditors.With priorities defined by status of external auditing, operatorship and asset share a common database was derived and could immediately be used for financial transactions such as the issuance of an inaugural bond. The new system for internal reporting of petroleum resources provides a fit-for-purpose approach, such as a consistent interpretation of commerciality criteria or definition of resources sub-classes.Particular attention was paid to synergies with respect to business planning, strategic portfolio analysis, and a link to technology & innovation. By defining specific attributes and sub-processes, the portfolio can be analyzed systematically. This provides additional insights and ensures synergies with business planning, strategic planning as well as internal technology initiatives. A systematic resource control system is defined focusing on internal review, external and internal audits as well as synergetic use of project reviews. Moreover, a feedback loop for continuous improvement of reservoir management allows attending to important audit observations. The external resource audit to ensure IPO readiness was structured to assign tasks for head office, business units and auditing company.The sequence of events from introduction to assets to reconciliation of differences between auditor and company was set-up, executed and monitored.Focus was on the definition of a structured but agile approach for external independent evaluation of all reserves and contingent resources.
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Vollmer, Michael, Camille Pedretti, Alexander Ni, and Manfred Wirsum. "Advanced Bottoming Cycle Optimisation for Large Alstom CCPP." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27578.

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This paper presents the fundamentals of an evolutionary, thermo-economic plant design methodology, which enables an improved and customer-focused optimization of the bottoming cycle of a large Combined Cycle Power Plant. The new methodology focuses on the conceptual design of the CCPP applicable to the product development and the pre-acquisition phase. After the definition of the overall plant configuration such as the number of gas turbines used, the type of main cooling system and the related fix investment cost, the CCPP is optimized towards any criteria available in the process model (e.g. lowest COE, maximum NPV/IRR, highest net efficiency). In view of the fact that the optimization is performed on a global plant level with a simultaneous hot- and cold- end optimization, the results clearly show the dependency of the HRSG steam parameters and the related steam turbine configuration on the definition of the cold end (Air Cooled Condenser instead of Direct Cooling). Furthermore, competing methods for feedwater preheating (HRSG recirculation, condensate preheating or pegging steam), different HRSG heat exchanger arrangements as well as applicable portfolio components are automatically evaluated and finally selected. The developed process model is based on a fixed superstructure and copes with the full complexity of today’s bottoming cycle configurations as well with any constraints and design rules existing in practice. It includes a variety of component modules that are prescribed with their performance characteristics, design limitations and individual cost. More than 100 parameters are used to directly calculate the overall plant performance and related investment cost. Further definitions on payment schedule, construction time, operation regime and consumable cost results in a full economic life cycle calculation of the CCPP. For the overall optimization the process model is coupled to an evolutionary optimizer, whereas around 60 design parameters are used within predefined bounds. Within a single optimization run more than 100’000 bottoming cycle configurations are calculated in order to find the targeted optimum and thanks to today’s massive parallel computing resources, the solution can be found over night. Due to the direct formulation of the process model, the best cycle configuration is a result provided by the optimizer and can be based on a single-, dual or triple pressure system using non-reheat, reheat or double reheat configuration. This methodology enables to analyze also existing limitations and characteristics of the key components in the process model and assists to initiate new developments in order to constantly increase the value for power plant customers.
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Conte, Enrico, and Camille Pedretti. "Thermo-Economic Optimization of the CCPP Design With Supplementary Firing Considering Off-Design Performance and Operating Profile." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45550.

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This paper presents the latest developments of a methodology for the initial design of the water/steam cycle in combined-cycle power plants, which aims at delivering optimal designs from an operator’s perspective. To this end, an evolutionary algorithm optimization toolbox is coupled to a process model of the water/steam cycle. The process model requires the definition of a number of boundary conditions (like GT type and ambient conditions) and the selection of the cycle configuration (number of pressure levels, single or double reheat, supplementary firing, heat integration with GT coolers, fuel gas preheating, steam extraction from the steam turbine and type of cold end, among others). Based on a number of thermodynamic parameters assigned by the optimizer, the process model derives an initial dimensioning and/or selection of the key components and systems from the OEM’s portfolio: HRSG (full, geometry-based technical dimensioning), piping, steam turbines, condenser and generator, among others. For each of those, realistic designs are ensured by checking and enforcing the component design rules. Finally, performance and cost are derived. In the latest development, the process model computes the plant performance in a number of off-design conditions, specified in a plant operating profile. These may include different ambient conditions, GT loads, power augmentation (e.g. supplementary firing, inlet fogging and evaporative cooling) and steam exports (e.g. to district heating, desalination plant, carbon capture system) or imports (e.g. from a solar field). The cost of electricity (CoE), net present value (NPV) or average efficiency of the plant design in the given operating profile is the feedback to the optimization algorithm. This guides the process towards the definition of a plant design that gives the best thermo-economic performance under the specified economic boundary conditions and operating scenario. In a typical example, an air-cooled peaking plant needs to be optimized to maximize NPV in an operating scenario characterized by large spikes of the electricity price in hot summer days, during which the plant operator wants to use supplementary firing to boost power production. The described methodology is applied to find the most advantageous dimensions of the supplementary firing to be installed and the right HRSG design pressure at design conditions, ensuring that all design rules and technical limits are respected in all operating conditions. In this way, an optimal point is found in the trade-off between amount of supplementary firing and dimensions of HRSG and air-cooled condenser, delivering the highest possible benefit to the plant operator.
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Ross, J. G. "SPE/WPC/AAPG Resource Definitions as a Basis for Portfolio Management." In SPE Hydrocarbon Economics and Evaluation Symposium. Society of Petroleum Engineers, 2001. http://dx.doi.org/10.2118/68573-ms.

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Vasantha, Gokula, Andrew Sherlock, Jonathan Corney, and John Quigley. "A Probabilistic Design Reuse Index." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86155.

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The benefits of being able to create a number of product variations from a limited range of components, or sub-assemblies, are widely recognized. Indeed it is clear that companies who can effectively reuse elements of existing designs when creating new products will be more productive and profitable than those whose catalogues are full of parts individually tailored to specific models. Frustratingly, despite the benefits, existing approaches to quantifying the amount of design reuse within a company’s product range are laborious and often provide only aggregated reuse value that provided little explicit indication of where the highest and lowest levels of re-use occur within a product portfolio. This paper surveys existing measures of design reuse and describes the results of applying some of them to quantify the amount of commonality in a range of flat-pack furniture. The results illustrate the differences between their definitions of design reuse. We then present a new approach to objectively quantifying levels of reuse by comparing actual probability distributions of component use with virtual ones, where every component is used with equal preference. The proposed reuse metric, named Probabilistic Design Reuse Index (PDRI), is applied to the flat-pack dataset and the results used to highlight component families with low levels of design commonality.
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9

Clayton, Mary, and Michael E. Webber. "Assessment of Embedded Water Needs at a Mixed-Use Facility in Palo Alto, California." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87823.

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Assessing and mitigating the water footprint of a business can reduce the risks associated with potential freshwater shortages. Because water is vital in the supply chain and operations of all major industries, depletion of freshwater sources, increases in demand of water, and droughts can threaten a company’s production, financial stability, and reputation. Consequently, it is essential to identify water vulnerability in a business’s operational portfolio and to ensure that the business’s water management aligns with its overall sustainability strategies. Furthermore, understanding a business’s water footprint allows for effective resource management, which can help minimize costs and reduce its environmental impact. Currently, interest in the water footprints of organizations, products, and services is increasing, creating a need for a shared standard of definitions and methodologies for water metering and reporting. In addition, consistent methodologies for including embedded and indirect water use and a uniform application of analysis boundaries need to be developed. This research aims to develop an accounting methodology for water reporting along with tools for identifying opportunities to improve water efficiency. Additionally, existing definitions, approaches, and best practices for measuring, reporting, and managing water use across different industries are summarized. A conceptual model was developed to evaluate the lifecycle water footprint, including direct and indirect (embedded in energy and materials) water use in both supply chains and operations. Further, a case study is considered to assess the water impact of a mixed-use facility in Palo, Alto, California. Comprehensive water, electricity, and gas metering data were collected for this site, and the water uses of California’s energy mix were determined. Finally, this data set was utilized to summarize direct and indirect water use at a corporate site, and recommendations of water conservation and reuse for this site are considered. Future work includes development of validation and optimization approaches for minimizing water usage. The model was built such that it can be expanded to include multiple sites in the global supply chain in order to estimate worldwide water usage throughout a large company’s operations.
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Agrawal, J. P. N., and S. P. Srivastava. "Methodology of Risk Management in Pipeline Projects." In ASME 2013 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/iogpc2013-9841.

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Organizations of all types and sizes face internal and external factors and influences that make it uncertain whether and when they will achieve their business objectives. The effect this uncertainty has on an organization’s objectives is “RISK”. In recent times all sectors of the economy have shifted focus towards the management of risk as the key to making organizations successful in delivering their objectives while protecting the interests of their stakeholders. Risk may be defined as events or conditions that may occur, and whose occurrence, if it does take place, has a harmful or negative impact on the achievement of the organization’s business objectives. The exposure to the consequences of uncertainty constitutes a risk. Organizations that are most effective and efficient in managing risks to both existing assets and to future growth will, in the long run, outperform those that are less so. Simply put, companies make money by taking intelligent risks and lose money by failing to manage risk intelligently. Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives, whether positive or negative) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risks can come from uncertainty in financial markets, project failures (at any phase in design, development, production, or sustainment life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters as well as deliberate attack from an adversary, or events of uncertain or unpredictable root-cause. Several risk management standards have been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards. Methods, definitions and goals vary widely according to whether the risk management method is in the context of project management, security, engineering, industrial processes, financial portfolios, actuarial assessments, or public health and safety. Risk management is a holistic, integrated, structured and disciplined approach to managing risks with the objective of maximizing shareholder’s value. It aligns strategy, processes, people & culture, technology and governance with the purpose of evaluating and managing the uncertainties faced by the organization while creating value. Broadly this paper deals with the objective of risk management along with identification, polarization, mitigation and governance of risks associated with pipeline projects. Further the criteria for assigning the probabilities and impact of an identified risk along with their classification based on its probability and impact are also incorporated in the paper.
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Reports on the topic "Portfolio definition"

1

Lo, Andrew, and Jiang Wang. Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory. Cambridge, MA: National Bureau of Economic Research, March 2000. http://dx.doi.org/10.3386/w7625.

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