Matematické modely oceňování amerických kupních opcí
Mean variance and goal achieving portfolio for discrete-time market with currently observable source of correlations
The paper studies optimal portfolio selection for discrete time market models in mean-variance and goal achieving setting. The optimal strategies are obtained for models with an observed process that causes serial correlations of price changes. The optimal strategies are found to be myopic for the goal-achieving problem and quasi-myopic for the mean variance portfolio.
Measuring of second–order stochastic dominance portfolio efficiency
In this paper, we deal with second-order stochastic dominance (SSD) portfolio efficiency with respect to all portfolios that can be created from a considered set of assets. Assuming scenario approach for distribution of returns several SSD portfolio efficiency tests were proposed. We introduce a -SSD portfolio efficiency approach and we analyze the stability of SSD portfolio efficiency and -SSD portfolio efficiency classification with respect to changes in scenarios of returns. We propose new...
Modelling Real World Using Stochastic Processes and Filtration
First we give an implementation in Mizar [2] basic important definitions of stochastic finance, i.e. filtration ([9], pp. 183 and 185), adapted stochastic process ([9], p. 185) and predictable stochastic process ([6], p. 224). Second we give some concrete formalization and verification to real world examples. In article [8] we started to define random variables for a similar presentation to the book [6]. Here we continue this study. Next we define the stochastic process. For further definitions...