The application of the Threshold Accepting (TA) algorithm in portfolio optimisation can reduce portfolio risk compared with a Trust-Region local search algorithm. In a benchmark comparison of several different objective functions combined with different optimisation routines, we show that the TA search algorithm applied to a Conditional Value at Risk (CVaR) objective function yields the lowest Basel III market risk capital requirements. Not only does the TA algorithm outmatch the Trust-Region algorithm in all risk and performance measures, but when combined with a CVaR or 1% VaR objective function, it also achieves the best portfolio risk profile
AbstractThe theme of this paper relates to solving portfolio selection problems using linear program...
This thesis focuses on empirical asset allocations problems. The nonconvex optimization problem aris...
There is little literature considering effects that the loss-gain threshold used for dividing good a...
Recent changes in the regulatory framework for banking supervision increase the regulatory oversight...
Portfolio optimization is a major activity in any operating business. Conventional portfolio optimiz...
The new Basel III framework increases the banks’ market risk capital requirements. In this paper, we...
This Master Thesis introduces portfolio selection trading strategy named ”Threshold Based Online Alg...
In this dissertation, we study the application of risk measures to portfolio optimisation. A risk me...
In times of great insecurity and turbulence on every major stock exchange, it is evident that contro...
The main purpose of this thesis is to develop methodological and practical improvements on robust po...
© 2016 Elsevier B.V. We propose a novel method of Mean-Capital Requirement portfolio optimization. T...
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June...
12th International Conference on Learning and Intelligent Optimization (LION) -- JUN 10-15, 2018 -- ...
In practical portfolio choice models risk is often defined as VaR, expected short-fall, maximum loss...
We consider the problem of the statistical uncertainty of the correlation matrix in the optimization...
AbstractThe theme of this paper relates to solving portfolio selection problems using linear program...
This thesis focuses on empirical asset allocations problems. The nonconvex optimization problem aris...
There is little literature considering effects that the loss-gain threshold used for dividing good a...
Recent changes in the regulatory framework for banking supervision increase the regulatory oversight...
Portfolio optimization is a major activity in any operating business. Conventional portfolio optimiz...
The new Basel III framework increases the banks’ market risk capital requirements. In this paper, we...
This Master Thesis introduces portfolio selection trading strategy named ”Threshold Based Online Alg...
In this dissertation, we study the application of risk measures to portfolio optimisation. A risk me...
In times of great insecurity and turbulence on every major stock exchange, it is evident that contro...
The main purpose of this thesis is to develop methodological and practical improvements on robust po...
© 2016 Elsevier B.V. We propose a novel method of Mean-Capital Requirement portfolio optimization. T...
Paper presented at the 4th Strathmore International Mathematics Conference (SIMC 2017), 19 - 23 June...
12th International Conference on Learning and Intelligent Optimization (LION) -- JUN 10-15, 2018 -- ...
In practical portfolio choice models risk is often defined as VaR, expected short-fall, maximum loss...
We consider the problem of the statistical uncertainty of the correlation matrix in the optimization...
AbstractThe theme of this paper relates to solving portfolio selection problems using linear program...
This thesis focuses on empirical asset allocations problems. The nonconvex optimization problem aris...
There is little literature considering effects that the loss-gain threshold used for dividing good a...