This paper features a tri-criteria analysis of Eurekahedge fund data strategy index data. We use nine Eurekahedge equally weighted main strategy indices for the portfolio analysis. The tri-criteria analysis features three objectives: return, risk and dispersion of risk objectives in a Multi-Criteria Optimisation (MCO) portfolio analysis. We vary the MCO return and risk targets and contrast the ...

We show that Black Capital Asset Pricing Model (Black CAPM) is extremely sensitive to the choice of the market portfolio and becomes unstable as market portfolios approach the Global Minimum-Variance portfolio. When market portfolios approach the minimum-variance portfolio, the expected return on the zero beta asset approaches negative infinity and its variance increases rapidly. Moreover, expe...

the present study is an attempt toward evaluating the performance of portfolios and assets selecting using modified mean-variance models by utilizing a non-parametric efficiency analysis tool, namely data envelopment analysis (dea). huge amounts of money are being invested in financial market. as a result, portfolio performance evaluation has created a great deal of interest among people. we kn...

in this study, we focused on tehran stock exchange market analysis based on applying moving average rules. the tehran stock exchange in the middle east has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. in an attempt to examine the ability to earn excess return by exploiting moving average rules, the average a...

Mobile network sector is one of the important sectors in Malaysia which provides the network communication services to the users. The investors can get the return through the investment of the mobile network companies which are listed in Malaysia stock market. However, the investors will be exposed to the risk of loss in the investment. The mean-absolute deviation model is a portfolio optimizat...

In the present work we address the problem of evaluating the historical performance of a trading strategy or a certain portfolio of assets. Common indicators such as the Sharpe ratio and the risk adjusted return have significant drawbacks. In particular, they are global indices, that is they do not preserve any local information about the performance dynamics either in time or for a particular ...

As the prevalence of Alzheimer's disease (AD) grows, so do the costs it imposes on society. Scientific, clinical, and financial interests have focused current drug discovery efforts largely on the single biological pathway that leads to amyloid deposition. This effort has resulted in slow progress and disappointing outcomes. Here, we describe a "portfolio approach" in which multiple distinct dr...

We present a new approach to selecting actively managed mutual funds that uses both portfolio holdings and fund return information eliminate with predicted inferior performance through sequence of pairwise comparisons. Our methodology determines the number skilled their identities, locates substantially higher risk-adjusted returns than those identified by conventional alpha-ranking methods. fi...

Stochastic linear quadratic portfolio selection problem for relative return process is to maximize the expected linear quadratic function of the relative return process. We introduce the benchmark process and define the relative return process as quotient which is obtained when the wealth process is divided by the benchmark process. We derive the optimal portfolio in closed form via investigati...