Volatility is a fundamental parameter for option valuation. In particular, real options models require project volatility, which is very hard to estimate accurately because there is usually no historical data for the underlying asset. Several authors have used a method based on Monte Carlo...

This paper proposes a new way to measure and deal with risk within the portfolio selection problem using a skewness/semivariance biobjective optimization framework. The solutions of this biobjective optimization problem allow the investor to analyse the efficient trade-off between skewness and...

In this paper, we present a methodology for estimating social costs associated with firearm incidents and present some results regarding the application of the methodology to Portugal. We consider social costs associated with such incidents, including medical care costs, losses in productivity...

This work presents a study describing the use of Internet search information to achieve an improved nowcasting ability with simple autoregressive models, using data from four countries and two different application domains with social and economic significance: unemployment rate and car sales....

Project volatility is an essential parameter for real options analysis, and it may also be useful for risk analysis. Many volatility estimation procedures only consider the volatility in the first year of the project. Others consider that different years may have different values of the project...

In this study we analyse the link between stock returns and results in national league matches for 13 clubs of six different European countries. We assume that the stock prices should only respond to the unexpected component of match results, and we use betting odds to separate the expected...

In this paper we present a useful bicriteria model for project analysis based on decision trees, and an application of the model to a production planning problem. We start by presenting a model that allows the use of time and cost in project analysis. This model is easy to use, and it can be...

The analytic hierarchy process (AHP) has been used in the process of selecting research and development (R&D) projects. Such a selection process usually possesses some particular features that require adjustments in the application of the AHP method, such as the existence of a large number of...

In this paper we will describe and study a competitive discrete location problem in which two decision-makers (players) will have to decide where to locate their own facilities, and customers will be assigned to the closest open facilities. We will consider the situation in which the players...