We consider the bicriteria investment Boolean problem of finding the Pareto set based on efficiency and risk criteria. The quantitative stability characteristics of the problem are investigated, and lower and upper bounds for a stability radius are obtained for the case where portfolio and financial market state spaces are endowed with the Hölder metric. Calculation of these bounds provides investors with a deeper insight into the specific problem of facilitating financial decisions more reliably in uncertain environments
We consider the portfolio choice problem for a long-run investor in a general continuous semimarting...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
A discrete variant of a multicriteria investment portfolio optimization problem with Savage's risk c...
We consider a multicriteria Boolean programming problem of finding the Pareto set. Partial criteria...
Lower and upper bounds are obtained for the stability radius of a vector venturesome investment pro...
Almost every problem of design, planning and management in the technical and organizational systems ...
We consider a multicriteria discrete variant of investment portfolio optimization problem with Sava...
We derive a closed form portfolio optimization rule for an investor who is diffident about mean retu...
AbstractThe numéraire portfolio in a financial market is the unique positive wealth process that mak...
Portfolio analysis exists, perhaps, as long, as people think about acceptance of rational decisions ...
To try to outperform an externally given benchmark with known weights is the most common equity mand...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
We consider the portfolio choice problem for a long-run investor in a general continuous semimarting...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
A discrete variant of a multicriteria investment portfolio optimization problem with Savage's risk c...
We consider a multicriteria Boolean programming problem of finding the Pareto set. Partial criteria...
Lower and upper bounds are obtained for the stability radius of a vector venturesome investment pro...
Almost every problem of design, planning and management in the technical and organizational systems ...
We consider a multicriteria discrete variant of investment portfolio optimization problem with Sava...
We derive a closed form portfolio optimization rule for an investor who is diffident about mean retu...
AbstractThe numéraire portfolio in a financial market is the unique positive wealth process that mak...
Portfolio analysis exists, perhaps, as long, as people think about acceptance of rational decisions ...
To try to outperform an externally given benchmark with known weights is the most common equity mand...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
We review recent results on the new concept of worst-case portfolio optimization, i.e. we consider t...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
We consider the portfolio choice problem for a long-run investor in a general continuous semimarting...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...
Ambiguity, also called Knightian or model uncertainty, is a key feature in financial modeling. A rec...