in this research, performance of portfolios formed by use of grid strategy based on new variables (aggressive, indifference and defensive stocks) presented by rahnamaye roodposhti (1388), and traditional ones (growth, growth-value and value stocks), calculated with sharpe and treynor performance measures and tested by an active portfolio management approach to identify the portfolios by perform...

Companies in the same industry sector are usually stronger correlated than firms in different sectors, as they are similarly affected by macroeconomic effects, political decisions, and consumer trends. In spite of many stock return models taking account of this fact there are only a few credit default models taking it into consideration. In this paper we present a default model based on nested ...

In conventional mean-variance model of portfolio optimization problem the expected return is taken as the mean of the past returns. This assumption is not correct and hence the method leads to poor portfolio optimization performance. Hence an alternative but efficient method is proposed in which the mean and variance of expected return are first predicted with a low complexity functional link a...

We investigate the relationship between monetary policy and banks’ risk-taking behavior. set up a simple model in which risk averse bank awards loans to firms also manages financial investment portfolio consisting of risky risk-free asset. When signs credit contracts with firms, it takes into account their solvency potential gains from outside strategies under aversion, contrast standard approa...

projects scheduling by the project portfolio selection, something that has its own complexity and its flexibility, can create different composition of the project portfolio. an integer programming model is formulated for the project portfolio selection and scheduling.two heuristic algorithms, genetic algorithm (ga) and simulated annealing (sa), are presented to solve the problem. results of cal...

the purpose of this study is to determine spatial dependency pattern of systematic risk of dry land wheat production in iran, using spatial autoregressive models. to this end, spatial weighted contiguity matrix was constructed based on the delaunay triangularization method, and correlation coefficient among these neighbors were estimated using spatial autoregressive models. in addition, the rol...

It is becoming apparent that convex financial planning models are at times a poor approximation of the real world. More realistic, and more relevant models need to dispense with normality assumptions, and concavity of the utility functions to be optimized. Moreover, the problems are large scale but structured, consequently specialized algorithms have been proposed for their solution. The aim of...

The portfolio is a perfect combination of stock or assets, which an investor buys them. The objective of the portfolio is to divide the investment risk among several shares. Using non-parametric DEA and DEA-R methods can be of great significance in estimating portfolio. In the present paper, the efficient portfolio is estimated by using non-radial DEA and DEA-R models. By proposing non-radial m...

this research aims to design the portfolio entrepreneurship model and to analyze the effect of social capital, prior experience and knowledge, the entrepreneur’s financial resources, as well as human capital on portfolio entrepreneurship and also to investigate the effect of portfolio entrepreneurship on recognition of new opportunities, as well as business growth and development. the research ...

This paper studies portfolio choice and pricing in markets in which immediate trading may be impossible. It departs from the literature by removing restrictions on asset holdings, and finds that optimal positions depend significantly and naturally on liquidity: When expected future liquidity is high, agents take more extreme positions, given that they do not have to hold those positions for lon...