This paper focuses on Stochastic Dominance (SD) efficiency in a finite empirical panel data. We analytically characterize the sets of unsorted time series that dominate a given evaluated distribution by the First, Second, and Third order SD. Using these insights, we develop simple Linear...

We consider the forestry decision-making and harvesting problem from the perspective of financial portfolio management, where harvestable forest stands constitute one of the liquid assets of the portfolio. Using real data from Finnish mixed borealis forests and from the Helsinki stock exchange,...

A new integral for capacities, different from the Choquet integral, is introduced and characterized. The main feature of the new integral is concavity, which might be interpreted as uncertainty aversion. The integral is then extended to fuzzy capacities, which assign subjective expected values...

Investors systematically deviate from rationality when making financial decisions, yet the mechanisms responsible for these deviations have not been identified. Using event-related fMRI, we examined whether anticipatory neural activity would predict optimal and suboptimal choices in a financial...

A man is a key subject of economics and economic theory. “A man is irrational” - this opinion can be made from Allais paradox, risk aversion and other well-known fundamental problems. For a long time, this opinion was a barrier to proper solution of these problems and the development of the...

The need to develop securities market has, following the recent international financial crises, increasingly attracted the attention of national and international policy makers. Never before have developed and developing countries shared such a strong interest in ensuring the stable growth of...

Ideal economics? A “non-ideal” economics approach has been proposed, which considers the possibility of arrangement infringements. It gives promises for both solving fundamental problems of economic theory and creation of new directions and fields of research. The approach application in...

We propose a decomposition method for the solution of a dynamic portfolio optimization problem which fits the formulation of a multistage stochastic programming problem. The method allows to obtain time and nodal decomposition of the problem in its arborescent formulation applying a discrete...

Risk exposure can be efficiently optimized in practical situations, using a new apporach to identification of investor's risk aversion.

We consider stochastic optimization problems involving stochastic dominance constraints of first order, also called stochastic ordering constraints. They are equivalent to a continuum of probabilistic constraints or chance constraints. We develop first order necessary and sufficient conditions...