Search results for " portfolio"

showing 10 items of 121 documents

Value preserving portfolio strategies in continuous-time models

1997

We present a new approach for continuous-time portfolio strategies that relies on the principle of value preservation. This principle was developed by Hellwig (1987) for general economic decision and pricing models. The key idea is that an investor should try to consume only so much of his portfolio return that the future ability of the portfolio should be kept constant over time. This ensures that the portfolio will be a long lasting source of income. We define a continuous-time market setting to apply the idea of Hellwig to securities markets with continuous trading and examine existence (and uniqueness) of value-preserving strategies in some widely used market models. Further, we discuss…

Rate of return on a portfolioApplication portfolio managementGeneral MathematicsReplicating portfolioEconomicsPortfolioPost-modern portfolio theoryManagement Science and Operations ResearchPortfolio optimizationProject portfolio managementMathematical economicsSoftwareSeparation propertyMathematical Methods of Operations Research
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How to best return the value of a function

1989

Rate of return on a portfolioInformation ratioTime-weighted returnComputer scienceValue (economics)StatisticsInternal rate of returnFunction (mathematics)Computer Graphics and Computer-Aided DesignSoftwareACM SIGPLAN Notices
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Fuzzy Mathematical Programming for Portfolio Management

2000

The classical portfolio selection problem was formulated by Markowitz in the 1950s as a quadratic programming problem in which the risk variance is minimized. Since then, many other models have been considered and their associated mathematical programming formulations can be viewed as dynamic, stochastic or static decision problems. In our opinion, the model formulation depends essentially on two factors: the data nature and the treatment given to the risk and return goals. In this communication, we consider several approaches to deal with the data uncertainty for different classical formulations of the portfolio problem. We make use of duality theory and fuzzy programming techniques to ana…

Rate of return on a portfolioMathematical optimizationPortfolioFuzzy numberVariance (accounting)Quadratic programmingDecision problemProject portfolio managementMembership functionMathematics
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Aggregation of preferences for skewed asset returns

2014

This paper characterizes the equilibrium demand and risk premiums in the presence of skewness risk. We extend the classical mean-variance two-fund separation theorem to a three-fund separation theorem. The additional fund is the skewness portfolio, i.e. a portfolio that gives the optimal hedge of the squared market return; it contributes to the skewness risk premium through co-variation with the squared market return and supports a stochastic discount factor that is quadratic in the market return. When the skewness portfolio does not replicate the squared market return, a tracking error appears; this tracking error contributes to risk premiums through kurtosis and pentosis risk if and only …

Rate of return on a portfolioTracking errorEconomics and EconometricsSkewnessFinancial economicsStochastic discount factorRisk premiumEconometricsEconomicsPortfolioSkewness riskPortfolio optimizationJournal of Economic Theory
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Exploring New Service Portfolio Management

2017

Most research on the management of innovation portfolios has focused on new product portfolios, whereas the management of new service portfolios has not been researched correspondingly. This paper addresses this literature gap by exploring portfolio management of New Service Development (NSD) activities empirically. The paper applies a qualitative research design, where data was collected in 52 in-depth interviews with managers and employees involved with NSD. The study finds that the portfolio management activities and processes were carried out in parallel with the NSD process, and that the most important stakeholders in the NSD portfolio management organization were top managers not inv…

Service innovationKnowledge managementbusiness.industryApplication portfolio managementStrategy and Managementmedia_common.quotation_subject05 social sciencesPortfolio managementIT portfolio managementManagement of Technology and InnovationService (economics)0502 economics and businessNew product developmentService developmentPortfolio050211 marketingBusiness and International ManagementService innovationProject portfolio managementMarketingbusiness050203 business & managementmedia_commonQualitative research
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Discrete Time Portfolio Selection with Lévy Processes

2007

This paper analyzes discrete time portfolio selection models with Lévy processes. We first implement portfolio models under the hypotheses the vector of log-returns follow or a multivariate Variance Gamma model or a Multivariate Normal Inverse Gaussian model or a Brownian Motion. In particular, we propose an ex-ante and an ex-post empirical comparisons by the point of view of different investors. Thus, we compare portfolio strategies considering different term structure scenarios and different distributional assumptions when unlimited short sales are allowed.

Settore SECS-S/06 - Metodi mat. dell'economia e Scienze Attuariali e Finanziarieterm structureexpected utilitySubordinated Lévy models; term structure; expected utility; portfolio strategiesportfolio strategiesMultivariate normal distributionSubordinated Lévy modelsVariance-gamma distributionInverse Gaussian distributionsymbols.namesakeSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Discrete time and continuous timesymbolsEconometricsPortfolioSubordinated Lévy models term structure expected utility portfolio strategiesPost-modern portfolio theoryPortfolio optimizationModern portfolio theoryMathematics
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Jump-diffusion models of German stock returns

1991

This paper discusses the statistical properties of jump-diffusion processes and reports on parameter estimates for the DAX stock index and 48 German stocks with traded options. It is found that a Poisson-type jump-diffusion process can explain the high levels of kurtosis and skewness of observed return distributions of German stocks. Furthermore, we demonstrate that the return dynamics of the DAX include a statistically significant jump component except for a few sample subperiods. This finding is seen to be inconsistent with asset pricing models assuming that the jump component of the stock's return is unsystematic and diversifiable in the market portfolio.

Statistics and ProbabilityActuarial scienceMarket portfolioJump diffusionStock market indexComputer Science::Computational Engineering Finance and ScienceSkewnessEconomicsKurtosisJumpEconometricsCapital asset pricing modelStatistics Probability and UncertaintyStock (geology)Statistical Papers
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Liquidity-adjusted value-at-risk optimization of a multi-asset portfolio using a vine copula approach

2019

Abstract This paper develops a novel approach to assess liquidity-adjusted Value-at-Risk (LVaR) optimization of multi-asset portfolios based on vine copulas and LVaR models. This framework is applied to stock markets of the G-7 countries, gold, commodities and Bitcoin. The results show that our approach is superior to the classical mean–variance Markowitz portfolio technique in terms of the optimal portfolio selection under a number of realistic operational and budget constraints. We find that both Bitcoin and gold improves the risk-return performance of the G-7 stock portfolio. However, Bitcoin (gold) performs better under a scenario of only long-positions (when short-selling is allowed).

Statistics and ProbabilityCondensed Matter Physics01 natural sciences010305 fluids & plasmasMarket liquidityVine copulaStock portfolio0103 physical sciencesEconometricsEconomicsPortfolioPortfolio optimization010306 general physicsBudget constraintValue at riskStock (geology)Physica A: Statistical Mechanics and its Applications
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Designing and pricing guarantee options in defined contribution pension plans

2015

Abstract The shift from defined benefit (DB) to defined contribution (DC) is pervasive among pension funds, due to demographic changes and macroeconomic pressures. In DB all risks are borne by the provider, while in plain vanilla DC all risks are borne by the beneficiary. However, for DC to provide income security some kind of guarantee is required. A minimum guarantee clause can be modeled as a put option written on some underlying reference portfolio and we develop a discrete model that selects the reference portfolio to minimize the cost of a guarantee. While the relation DB–DC is typically viewed as a binary one, the model shows how to price a wide range of guarantees creating a continu…

Statistics and ProbabilityPensions; Minimum guarantee; Defined benefit; Defined contribution; Embedded options; Risk sharing; Portfolio selection; Stochastic programmingRisk sharingEconomics and EconometricsPensionActuarial scienceComputer sciencePensionStochastic programmingAsset allocationMinimum guaranteeEmbedded optionPortfolio selectionEmbedded optionStochastic programmingDefined contributionSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Defined benefitValuation of optionsPortfolioAsset (economics)Statistics Probability and UncertaintyPut optionInsurance: Mathematics and Economics
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Portfolio optimisation with strictly positive transaction costs and impulse control

1998

One crucial assumption in modern portfolio theory of continuous-time models is the no transaction cost assumption. This assumption normally leads to trading strategies with infinite variation. However, following such a strategy in the presence of transaction costs will lead to immediate ruin. We present an impulse control approach where the investor can change his portfolio only finitely often in finite time intervals. Further, we consider transaction costs including a fixed and a proportional cost component. For the solution of the resulting control problems we present a formal optimal stopping approach and an approach using quasi-variational inequalities. As an application we derive a non…

Statistics and ProbabilityTransaction costMathematical optimizationExponential utilityMerton's portfolio problemReplicating portfolioEconomicsPortfolio optimisation transaction costs impulse control asymptotic analysis.PortfolioOptimal stoppingStatistics Probability and UncertaintyPortfolio optimizationFinanceModern portfolio theory
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