Mean-Variance
Optimal Asset Allocation for a Mean Variance CVaR Insurer under Regulatory Constraints
... the mean-variance-CVaR criteria into the study of asset allocation for ...the mean-variance-CVaR model is able to provide more potential investment strategies for an ...
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Continuous Time Mean Variance Portfolio Selection with Inflation in an Incomplete Market
... In this section, we will apply the more general stochastic linear quadratic (LQ) control technique in Yong & Zhou (1999) to our model. Firstly, we will introduce a stochastic LQ auxiliary control problem and derive ...
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Continuous Time Mean Variance Portfolio Selection with Partial Information
... In [12], in order to tackle the computational tractability and the statistical difficulties associated with the estimation of model parameters, Bielecki and Pliska introduced a model such that the underlying economic ...
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A Comparative Study of Mean Variance and Mean Gini Portfolio Selection Using VaR and CVaR
... The Mean-Variance (MV) theory, suggested by Markowitz (1952a, 1952b), marked the starting point of the development of modern finance ...moments: mean and ...the variance can prevent an ...
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Destination performance: Introducing the utility function in the mean variance space
... The efficiency measurement of a set of decision units (or a portfolio for the Markowitz model) consists in roughly enveloping the data and then measuring the distance between the realized performance of each unit (each ...
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The Impacts of Joint Energy and Output Prices Uncertainties in a Mean Variance Framework
... the mean-variance framework in the presence of a cash account, Jiang, et ...continuous-time mean-variance portfolio selection with partial information, Pang, et ...
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The impacts of joint energy and output prices uncertainties in a mean variance framework
... exhibit variance vulnerability, increasing the variance of energy price will surely cause the risk averse firm to decrease the demand for ...exhibit variance vulnerability, increasing the ...
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The best estimation for high dimensional Markowitz mean variance optimization
... a mean-absolute deviation portfolio optimization to overcome the difficulties associated with the classical Markowitz model, but Simaan (1997) finds that the estimation er- rors for the mean-absolute ...
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Optimal Foreign Exchange Risk Hedging: A Mean Variance Portfolio Approach
... Now we would like to construct the efficient hedging frontier composed of expected return and variance of each hedging vehicle. So, it is exactly matched with the portfolio possibilities curve. An optimal ...
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The Optimization of the Mean Variance Portfolio Selection with Nonsmooth Concave Transaction Costs
... a mean-variance portfolio selection model with nonsmooth concave transaction ...the mean-variance portfolio optimal strategy with nonsmooth concave transaction ...
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The Mean Variance Model Revisited with a Cash Account
... Our simulation is based on the results in Table 1. Denote the return vector obtained in Table 1 as μ and variance- covariance matrix . Given these inputs, the portfolio weights are determined based on the ...
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Mean-variance optimization problems for an accumulation phase in a defined benefit plan
... two mean-variance optimization problems, which are quadratic control problems with an additional constrain on the expected value of the terminal surplus of the ...
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Higher Order WHEP Solutions of Quadratic Nonlinear Stochastic Oscillatory Equation
... rrec . The mean and variance are simu- ted using Mathematica. It is observed that the WEHP technique can be applied to study the non-Gaussian re- sponse of any random systems. Moreover, the higher- order ...
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Test of Higher Moment Capital Asset Pricing Model in Case of Pakistani Equity Market
... the mean-variance capital asset pricing model (CAPM) developed by Sharpe (1965) Lintner (1966) on individual stocks traded at Karachi Stock Exchange (KSE), the main equity market in Pakistan for the period ...
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An asset pricing model for mean-variance-downside-risk averse investors
... of mean-variance-downside-risk averse investors with preferences modelled by a family of utility functions penalizing separately departures from expected wealth and wealth levels below a ...
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Localising temperature risk
... seasonal variance function is of course not only a matter of one location (here Kaohsiung) but varies also over the dierent cities around the world that we are analysing in this ...
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Robust Mean-Variance Portfolio Selection Problem Including Fuzzy Factors
... set. In the case that we consider these uncertainty sets, problems (3) and (4) are not quadratic programming problems. Therefore, we need to construct the solution procedure to solve them. In this paper, we formulate the ...
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Inequalities involving Dresher variance mean
... of mean is basic in the theory of inequal- ities and its ...of mean in [–], and a great number of them have been used in mathematics and other natural ...
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A characterization of optimal portfolios under the tail mean-variance criterion
... tail mean-variance model was recently introduced for use in risk management and portfolio choice, and involves a criterion that focuses on the risk of rare but large losses, which is particularly important ...
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Mapping mean and variance of runoff in a river basin
... term mean runoff this task is rather straight- forward and basically is a problem of stochastic interpola- tion with local support or, in other words, block ...co- variance of runoff as the data represents ...
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