credit allocation through the usage of portfolio optimization mainly seeks tomaximize return and minimize the risk of the portfolio; but there are other importantissues including sustainable development which is important for government/publicsectors. this paper presents a novel credit allocation approach based on portfoliooptimization and investigates the effects of selected indicators of sust...

Credit allocation through the usage of Portfolio optimization mainly seeks tomaximize return and minimize the risk of the portfolio; but there are other importantissues including sustainable development which is important for government/publicsectors. This paper presents a novel credit allocation approach based on portfoliooptimization and investigates the effects of selected indicators of sust...

Many portfolio optimization problems deal with allocation of assets which carry a relatively high market price. Therefore, it is necessary to determine the integer value of assets when we deal with portfolio optimization. In addition, one of the main concerns with most portfolio optimization is associated with the type of constraints considered in different models. In many cases, the resulted p...

The main activities in project portfolio allocation management are selecting the right project components given a strategy. It is crucial to establish a scientific system of evaluation indexes to guarantee the closeness between strategy and project portfolio allocation optimally. With organizations growing in sizes, the functions and objectives of project components are becoming more and more d...

portfolio theory assumes that investors accept risk. this means thatin the equal rate of return on the two assets, the assets were chosenthat have a lower risk level. modern portfolio theory is accepted byinvestors who believe that they are not cope with the market. sothey keep many different types of securities in order to access theoptimum efficiency rate that is close to the rate of return o...

We find economically and statistically significant gains when using machine learning for portfolio allocation between the market index risk-free asset. Optimal rules time-varying expected returns volatility are implemented with two Random Forest models. One model is employed in forecasting monthly excess macroeconomic factors including payout yields. The second used to estimate prevailing volat...

the stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. this paper presents a methodology based on data envelopment analysis for portfolio selection, decision making units which can be stocks or other financial assets. first, dmus efficiencies are computed based on input/output com...

Executive Summary. This article examines the portfolio allocation decision within an asset/liability framework. Here portfolio weights are chosen not just by an asset’s return and variance but also by its correlation with pension liabilities. This results in assets that are highly correlated with pension liabilities being weighted higher in the portfolio. Typical mean-variance models estimate a...