Search results for "Portfolio"

showing 10 items of 303 documents

Superiority of Optimized Portfolios to Naive Diversification: Fact or Fiction?

2017

Abstract DeMiguel, Garlappi, and Uppal (2009) conducted a highly influential study where they demonstrated that none of the optimized portfolios consistently outperformed the naive diversification. This result triggered a heated debate within the academic community on whether portfolio optimization adds value. Nowadays several studies claim to defend the value of portfolio optimization. The commonality in all these studies is that various portfolio optimization methods are implemented using the datasets generously provided by Kenneth French and the performance is measured by means of the Sharpe ratio. This paper aims to provide a cautionary note regarding the use of Kenneth French datasets …

010407 polymers050208 financeActuarial scienceLow-volatility anomalyComputer scienceSharpe ratio05 social sciencesDiversification (finance)01 natural sciences0104 chemical sciencesReplicating portfolio0502 economics and businessValue (economics)EconometricsEconomicsAcademic communityData libraryPost-modern portfolio theoryPortfolio optimizationFinanceSSRN Electronic Journal
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Optimal Dynamic Portfolio Risk Management

2016

Numerous econometric studies report that financial asset volatilities and correlations are time-varying and predictable. Over the past decade, this knowledge has stimulated increasing interest in various dynamic portfolio risk control techniques. The two basic types of risk control techniques are: risk control across assets and risk control over time. At present, the two types of risk control techniques are not implemented simultaneously. There has been surprisingly little theoretical study of optimal dynamic portfolio risk management. In this paper, the author fills this gap in the literature by formulating and solving the multi-period portfolio choice problem. In terms of dynamic portfoli…

010407 polymersEconomics and EconometricsApplication portfolio managementComputer scienceFinancial assetControl (management)Diversification (finance)01 natural sciencesSpectral risk measureAccounting0502 economics and businessEconomicsEconometricsCapital asset pricing modelChoice problemModern portfolio theoryRisk managementActuarial science050208 financebusiness.industry05 social sciencesGeneral Business Management and AccountingPortfolio risk0104 chemical sciencesReplicating portfolioRisk ControlPortfolioPortfolio optimizationbusinessFinanceThe Journal of Portfolio Management
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Research priorities for freshwater mussel conservation assessment

2018

Freshwater mussels are declining globally, and effective conservation requires prioritizing research and actions to identify and mitigate threats impacting mussel species. Conservation priorities vary widely, ranging from preventing imminent extinction to maintaining abundant populations. Here, we develop a portfolio of priority research topics for freshwater mussel conservation assessment. To address these topics, we group research priorities into two categories: intrinsic or extrinsic factors. Intrinsic factors are indicators of organismal or population status, while extrinsic factors encompass environmental variables and threats. An understanding of intrinsic factors is useful in monitor…

0106 biological sciencesUnionidaeuhat010603 evolutionary biology01 natural sciencesIntrinsic factorsCiencias NaturalesIndicators14. Life underwaterThreatsBiological sciencesEnvironmental planningPopulation statusEcology Evolution Behavior and SystematicsNature and Landscape ConservationScience & TechnologyExtinctionlajiensuojelubiology010604 marine biology & hydrobiologyMussel15. Life on landUnionidaesimpukateläimistön suojelubiology.organism_classificationExtrinsic factorsManagementta1181Conservation statusPortfolioindikaattoritUnionida
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Forecasting portfolio returns using weighted fuzzy time series methods

2016

We propose using weighted fuzzy time series (FTS) methods to forecast the future performance of returns on portfolios. We model the uncertain parameters of the fuzzy portfolio selection models using a possibilistic interval-valued mean approach, and approximate the uncertain future return on a given portfolio by means of a trapezoidal fuzzy number. Introducing some modifications into the classical models of fuzzy time series, based on weighted operators, enables us to generate trapezoidal numbers as forecasts of the future performance of the portfolio returns. This fuzzy forecast makes it possible to approximate both the expected return and the risk of the investment through the value and a…

0209 industrial biotechnologyMathematical optimizationActuarial scienceSeries (mathematics)Mathematics::General MathematicsComputer scienceApplied MathematicsFuzzy set02 engineering and technologyFuzzy logicDefuzzificationTheoretical Computer Science020901 industrial engineering & automationArtificial Intelligence0202 electrical engineering electronic engineering information engineeringExpected returnPortfolioFuzzy number020201 artificial intelligence & image processingPortfolio optimizationSoftwareInternational Journal of Approximate Reasoning
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Grading investment diversification options in presence of non-historical financial information

2021

Modern portfolio theory deals with the problem of selecting a portfolio of financial assets such that the expected return is maximized for a given level of risk. The forecast of the expected individual assets’ returns and risk is usually based on their historical returns. In this work, we consider a situation in which the investor has non-historical additional information that is used for the forecast of the expected returns. This implies that there is no obvious statistical risk measure any more, and it poses the problem of selecting an adequate set of diversification constraints to mitigate the risk of the selected portfolio without losing the value of the non-statistical information owne…

021103 operations researchIndex (economics)diversificationGeneral MathematicsRisk measurelcsh:Mathematics0211 other engineering and technologiesDiversification (finance)UNESCO::CIENCIAS ECONÓMICAS02 engineering and technologyInvestment (macroeconomics)lcsh:QA1-939:CIENCIAS ECONÓMICAS [UNESCO]value of informationValue of information0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)EconomicsEconometricsPortfolioExpected returnportfolio selection020201 artificial intelligence & image processingEngineering (miscellaneous)Modern portfolio theory
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Measuring Social Responsibility: A Multicriteria Approach

2016

In this chapter we present a portfolio selection model for Socially Responsible Investment. The model, following the spirit of Socially Responsible Investment, consists of two different steps. Firstly, a social screening is applied in order to obtain the feasible set of assets accomplishing the socially responsible investment policy of the assets’ manager. In this step, an indicator is obtained for the measurement of the social responsibility degree of an asset. Assets are then ranked using this indicator from the most socially responsible to the less socially responsible. In a second step, once the feasible set is obtained, composed of those socially responsible assets verifying the screen…

021103 operations researchManagement scienceFeasible region0211 other engineering and technologies02 engineering and technologyAsset (computer security)MicroeconomicsSocially responsible investmentOrder (exchange)0202 electrical engineering electronic engineering information engineeringPortfolio020201 artificial intelligence & image processingBusinessSocial responsibilitySelection (genetic algorithm)
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Project portfolio selection and planning with fuzzy constraints

2018

Abstract Selecting a project portfolio is a complex process involving many factors and considerations from the time it is proposed to the time the project portfolio is finally selected. Given that making a good selection is of crucial importance, it is essential to develop well-founded mathematical models to lead the organization to its final goal. To achieve this, such models have to reflect as closely as possible both the real situation of the organization as well as its targets and preferences. However, since the process of selecting and implementing project portfolios occurs in real environments and not in laboratories, uncertainty and a lack of knowledge regarding some data is always a…

021103 operations researchOperations researchApplication portfolio managementComputer scienceProcess (engineering)Management science0211 other engineering and technologiesVagueness02 engineering and technologyFuzzy logicRange (mathematics)Management of Technology and Innovation0202 electrical engineering electronic engineering information engineeringPortfolioFuzzy number020201 artificial intelligence & image processingBusiness and International ManagementProject portfolio managementApplied PsychologyTechnological Forecasting and Social Change
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Digital Competence for the improvement of Special Education Teaching

2016

The increasing digitization and globalization of the media, the broad diversification of media products, with the value-and ethical issues that it raises, proposes and confirms the reasons why media education is to be considered as an indispensable task for anyone involved in education. Thanks to specific educational interventions and appropriate evaluation tools for self-assessment, future educators should be helped to acquire the appropriate media skills necessary to develop the capacity to responsibly and autonomously choose proper media to design their media education courses. The media competence enhances teachers’ ability to creatively modify learning spaces and to design a variety of…

05 social sciences050301 educationdigital competenceteacher trainingSettore M-PED/04 - Pedagogia Sperimentalelcsh:LB5-3640lcsh:Theory and practice of educationDigital competence Teacher education Special education e-portfolio Competence assessment.inclusiondigital competence; inclusion; teacher trainingComputingMilieux_COMPUTERSANDEDUCATION0501 psychology and cognitive sciences0503 education050104 developmental & child psychologySettore M-PED/03 - Didattica E Pedagogia Speciale
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Fuzzy Portfolio Selection Models for Dealing with Investor’s Preferences

2017

This chapter provides an overview of the authors’ previous work about dealing with investor’s preferences in the portfolio selection problem. We propose a fuzzy model for dealing with the vagueness of investor preferences on the expected return and the assumed risk, and then we consider several modifications to include additional constraints and goals.

050208 finance021103 operations researchActuarial scienceFinancial economicsComputer science05 social sciencesFuzzy model0211 other engineering and technologiesVagueness02 engineering and technologyFuzzy logicInvestor profile0502 economics and businessPortfolioExpected returnPortfolio optimizationSelection (genetic algorithm)
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Ethical Requirements Stack : A framework for implementing ethical requirements of AI in software engineering practices

2023

AI ethicsAIAI ethics principlesEthical requirementsEthical requirements stackAgile portfolio managementetiikkatekoäly
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