In this paper we compare various efficiency measures by investigating the sets that are termed efficient.

A new approach is supplied for locating efficiency frontiers and evaluating the efficiency of Decision Making Units (DMU's). This is accomplished from observational data by means of an envelopment procedure called DEA (Data Envelopment Analysis) originally developed by Charnes, Cooper and Rhodes...

The portfolio is a collection of financial assets (CDs, bills, bonds, common stock) and real assets. The financial securities held in the portfolio are organized according to the investor's interests in categories, maturities, yield levels etc. Combining these financial instruments according to...

In this paper, the authors test a model of an efficient portfolio with minimum risk, starting from the analysis of one year portfolio payoff and risk of ten securities from Bucharest Stock Exchange. In accordance with the modern portfolio theory, maximization of returns at minimal risk should be...

A model for measuring the efficiency of Decision Making Units (=DMU's) is presented, along with related methods of implementation and interpretation. The term DMU is intended to emphasize an orientation toward managed entities in the public and/or not-for-profit sectors. The proposed approach is...

Nowadays, the most dominant characteristics of the financial environment are instability, variability, riskiness and uncertainty. It is difficult to find a field where the decision making process is risk-free. This statement is especially true in case of financial investments according to which...

This study presents the use of a whole farm model in a participatory modelling research approach to examine the sensitivity of four contrasting case study farms to a likely climate change scenario. The newly generated information was used to support discussions with the participating farmers in...

In the classic Markowitz model, risk is measured by the return rates variance. However, equal treatment of negative and positive deviations from the expected return rate is a slight shortcoming of variance as the risk measure. Markowitz defined semi-variance to measure the negative deviations...

Genetic algorithms (GAs) are appropriate when investors have the objective of obtaining mean-variance (VaR) efficient frontier as minimising VaR leads to non-convex and non-differential risk-return optimisation problems. However GAs are a time-consuming optimisation technique. In this paper, we...

Marginal rates and elasticities of substitution are derived from the optimal slack values obtained from modified versions of additive DEA models. Projection formulas are used to ensure that all points are on the efficient frontier as required for conformance with assumptions in micro-economics....