Cataloged from PDF version of article.We consider the problem of optimal portfolio choice using the lower partial moments risk measure for a market consisting of n risky assets and a riskless asset. For when the mean return vector and variance/covariance matrix of the risky assets are specified without specifying a return distribution, we derive distributionally robust portfolio rules. We then address potential uncertainty (ambiguity) in the mean return vector as well, in addition to distribution ambiguity, and derive a closed-form portfolio rule for when the uncertainty in the return vector is modelled via an ellipsoidal uncertainty set. Our result also indicates a choice criterion for the radius of ambiguity of the ellipsoid. Using...
In financial optimization problem, the optimal portfolios usually depend heavily on the distribution...
In this paper we formulate the portfolio choice problem as a robust control problem. Extending our p...
In mean-risk portfolio optimization, it is typically assumed that the assets follow a known distribu...
We consider the problem of optimal portfolio choice using the lower partial moments risk measure for...
Cataloged from PDF version of article.Thesis (Ph.D.): Bilkent University, Department of Industrial E...
We derive closed-form portfolio rules for robust mean–variance portfolio optimization where the retu...
We propose a single-period portfolio selection model which allows the decision maker to easily deal ...
Cataloged from PDF version of article.In a financial market composed of n risky assets and a riskles...
We propose a single-period portfolio selection model which allows the decision maker to easily deal ...
We derive a closed form portfolio optimization rule for an investor who is diffident about mean retu...
The “separable ” uncertainty sets have been widely used in robust portfolio selection models (e.g., ...
Optimal portfolio rules are derived under uncertainty aversion by formulating the portfolio choice p...
Interest in distributionally robust optimization has been increasing recently. In this dissertation,...
The classical mean-variance model treats the upside and downside equally as risks. This feature is u...
This paper deals with portfolio selection problems under risk and ambiguity. The investor may be amb...
In financial optimization problem, the optimal portfolios usually depend heavily on the distribution...
In this paper we formulate the portfolio choice problem as a robust control problem. Extending our p...
In mean-risk portfolio optimization, it is typically assumed that the assets follow a known distribu...
We consider the problem of optimal portfolio choice using the lower partial moments risk measure for...
Cataloged from PDF version of article.Thesis (Ph.D.): Bilkent University, Department of Industrial E...
We derive closed-form portfolio rules for robust mean–variance portfolio optimization where the retu...
We propose a single-period portfolio selection model which allows the decision maker to easily deal ...
Cataloged from PDF version of article.In a financial market composed of n risky assets and a riskles...
We propose a single-period portfolio selection model which allows the decision maker to easily deal ...
We derive a closed form portfolio optimization rule for an investor who is diffident about mean retu...
The “separable ” uncertainty sets have been widely used in robust portfolio selection models (e.g., ...
Optimal portfolio rules are derived under uncertainty aversion by formulating the portfolio choice p...
Interest in distributionally robust optimization has been increasing recently. In this dissertation,...
The classical mean-variance model treats the upside and downside equally as risks. This feature is u...
This paper deals with portfolio selection problems under risk and ambiguity. The investor may be amb...
In financial optimization problem, the optimal portfolios usually depend heavily on the distribution...
In this paper we formulate the portfolio choice problem as a robust control problem. Extending our p...
In mean-risk portfolio optimization, it is typically assumed that the assets follow a known distribu...