Affiliation:
1. University of Belgrade, Faculty of Mathematics, Serbia
Abstract
In this paper we develop the concept of dependence between filtrations given
in [11], named causal predictability, which is based on the Granger?s
definition of causality. Then, we provide some new properties of this
concept and prove a result that consider equivalence to uniqueness of the
given concept. Also, a few examples that illustrate applications of the
given concept are given with the main focus on stochastic differential
equations (SDE) and financial mathematics. The study of Granger?s causality
has been defined in the context of time series. Since continuous time models
become more and more frequent in econometric practice, epidemiology,
climatology, demographic, etc, we develop a concept connected to the
continuous time processes. At the same time, the modern finance theory
extensively uses diffusion processes.
Publisher
National Library of Serbia
Reference20 articles.
1. C. Dellacherie, P.A. Meyer, Probability and Potentials B, Theory of Martingales. Blaisdell Publishing Company, Waltham, Mass, 1982.
2. D. Duffie, M. Schroder and C. Skiadas, Recursive valuation of defaultable securities and the timing of resolution of uncertainty. Annals of Applied Probability 6. (1997) 1075-1090.
3. R.J. Elliot, Stochastic calculus and applications. Springer-Verlag, New York, 1982.
4. J.P. Florens, D. Fougères, Noncausality in continuous time. Econometrica, 64(5) (1996) 1195-1212.
5. J.P. Florens, M. Mouchart, A Note on Noncausality. Econometrica, 50(3), (1982) 583-591.