Abstract
The stable distribution has many desirable properties and is applicable in many areas of scientific pursuit (e.g., the study of stock-return behavior). Despite this, little is known about the properties of the various extant estimation techniques for the parameters of the stable laws. This article compares the iterative regression technique with the latest version of the fractile technique, using both simulated and actual data.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 85-93 |
| Number of pages | 9 |
| Journal | Journal of Business and Economic Statistics |
| Volume | 7 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 1989 |
| Externally published | Yes |
Keywords
- Bootstrap
- Robustness
- Simulation
ASJC Scopus subject areas
- Statistics and Probability
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty