Mean variance portfolio theory: A framework for determining
Portfolio Performance Evaluation in a Modified Mean-Variance-Skewness Framework with Negative Data
... using mean- variance-skewness model with negative data. Mean-variance non-linear framework and mean- variance-skewness non- linear framework had been proposed based ...
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Replica approach to mean-variance portfolio optimization
... the portfolio obey an idealized probability distribution, in the simplest case a Gaus- sian, and calculates the quantities of interest like the weights of the optimal portfolio, the minimal risk, ...
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Portfolio Allocation and Asset Demand with Mean-Variance Preferences
... standard portfolio problem increase their demand for a risky asset when the returns to that asset undergo a first-order stochastically dominant (FSD) shift, the search for restrictions on preferences or – although ...
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Mean-Variance Portfolio Selection with Reference Dependent Preferences
... prospect theory (PT) of Kahneman and Tversky (1979) was designed to overcome some of the anomalies that the EU framework suffers ...a mean-variance functional detracts from its ...
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Continuous Time Mean-Variance Portfolio Selection Problem
... of mean-variance framework, all these papers, regardless the deter- ministic parameters or random parameters, assumed that the market is ...of mean-variance portfolio selection ...
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Mean-Coherent Risk and Mean-Variance Approaches in Portfolio Selection: An Empirical Comparison
... optimal portfolio weights or of deciding whether particular assets have to be additionally included into the ...by mean-coherent risk and mean-variance optimizations both statistically and ...
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Continuous time mean-variance portfolio optimization through the mean field approach
... the mean of the controlled state ...The mean field approach in the spirit of Ankirchner and Dermoune [2011], on the other hand, is based on the McKean-Vlasov limit and the standard theory of dynamic ...
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Portfolio optimisation using the Johannesburg Securities Exchange tradable indices : an application of the Markowitz's mean-variance framework
... a portfolio optimisation ...minimum variance portfolios (MVPs) with a restriction of short selling at the beginning of each ...recent portfolio construction techniques were used to construct MVPs ...
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Multistage Stochastic Mean-Variance Portfolio Analysis with Transaction Costs
... period mean-variance optimization problem can be extended to multistage ...our portfolio (subject to any desired bounds) to maximize profit at the investment horizon and minimize the risk at discrete ...
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Mean–Variance portfolio selection in presence of infrequently traded stocks
... the mean-variance Markowitz’ model by considering also the presence of light stocks in the ...a mean-variance framework considering that the market is assumed to contain a riskless ...
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Mean-Variance Portfolio Selection for a Non-life Insurance Company
... classical mean-variance portfolio ...the mean-variance terminal objective, includes also a running cost penalizing deviations of the insurer’s wealth from a speci- fied profit-solvency ...
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A Comparative Study of Mean Variance and Mean Gini Portfolio Selection Using VaR and CVaR
... the variance is not homoscedastic as the ARCH test result ...distribution framework for the prediction of VaR and CVaR, we used the Cornish-Fisher expan- sion and the Johnson SU ...
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Comparisons and Characterizations of the Mean Variance, Mean VaR, Mean CVaR Models for Portfolio Selection With Background Risk
... the Mean-Variance, Mean-VaR, Mean-CVaR Models for Portfolio Selection With Background Risk Abstract: This paper investigates the impact of background risk on an investor’s port- folio ...
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A Mean-Variance Framework for Tests of Asset Pricing Models
... and mean- variance efficiency is well understood at a theoretical level, links between tests of the pricing models and a mean-variance framework are limited to a few special ...complete ...
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Mean-Quadratic Variation portfolio optimization: a desirable alternative to time-consistent mean-variance optimization?
... Variation Portfolio Optimization: A Desirable Alternative to Time-Consistent Mean-Variance Optimization? \ast Pieter ...the mean-quadratic variation (MQV) portfolio optimization problem ...
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Optimal Foreign Exchange Risk Hedging: A Mean Variance Portfolio Approach
... 4. Conclusion We introduced the optimal foreign exchange risk hedging model following a standard portfolio theory. The results indicate that a lower level of risk can be achieved, given a specified level of ...
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On efficiency of mean-variance based portfolio selection in DC pension schemes
... in variance of final wealth is much less ...of variance inefficiency and comparison between different portfolios, but may be of difficult ...simulations framework the distribution of the final ...the ...
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Multistage mean-variance portfolio selection in cointegrated vector autoregressive systems
... underlying framework, a fair degree of mathematical sophistication, network infrastructure, and computing power are required to run the strategies period to period 2 ...the portfolio holdings once or twice ...
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Fuzzy cross-entropy, mean, variance, skewness models for portfolio selection
... the portfolio weights from the MVM and MVSM often focus on a few assets or extreme posi- tions even if an important aim of asset distribution is diversifica- tion (Bera and Park, 2008; DeMiguel et ...the ...
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Mean-Variance-Skewness Portfolio Selection Model Based on RBF-GA
... Darwin’s theory, and then generalized by De Jong (1975) and Goldberg (1989). It is one of the most practical and popular metaheuristics for solving complicated models. The principle of genetic algorithm is a ...
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