Abstract
This paper aims at enhancing the understanding of long-range dependence (LRD) by focusing on mechanisms for generating this dependence, namely persistence of signs and/or persistence of magnitudes beyond what can be expected under weak dependence. These concepts are illustrated through a discussion of fractional Brownian noise of index H ε (0, 1) and it is shown that LRD in signs holds if and only if 1/2 < H < 1 and LRD in magnitudes if and only if 3/4 < H < 1. An application to discrimination between two risky asset finance models, the FATGBM model of Heyde and the multifractal model of Mandelbrot, is given to illustrate the use of the ideas.
| Original language | English |
|---|---|
| Pages (from-to) | 882-888 |
| Number of pages | 7 |
| Journal | Journal of Applied Probability |
| Volume | 39 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Dec 2002 |
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