Empirical autocorrelation functions of returns of stochastic price processes show
phenomena of correlation on small intervals of time, which decay to zero after a
short time. The paper deals with the concept of weakly correlated random processes to describe a mathematical model which takes into account this behaviour of
statistical data. Weakly correlated functions have been applied to model numerous
problems of physics and engineering. The main idea is, that the values of the functions at two points are uncorrelated if the distance between the points exceeds a
certain quantity epsilon > 0. In contrast to the white noise model, for distances smaller
than epsilon a correlation between the values is permitted.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa.de:swb:ch1-200401285 |
| Date | 31 August 2004 |
| Creators | Richter, Matthias, Starkloff, Hans-Jörg, Wunderlich, Ralf |
| Contributors | TU Chemnitz, Fakultät für Mathematik |
| Publisher | Universitätsbibliothek Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | doc-type:lecture |
| Format | application/pdf, text/plain, application/zip |
Page generated in 0.002 seconds