PARAMETRIC AND NON-PARAMETRIC MODELLING OF TIME SERIES — AN EMPIRICAL STUDY
✍ Scribed by GEMAI CHEN; BOVAS ABRAHAM; GREG W. BENNETT
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 752 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1180-4009
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
This paper presents empirical evidence on the eectiveness of eight dierent parametric ARCH models in describing daily stock returns. Twenty-seven years of UK daily data on a broad-based value weighted stock index are investigated for the period 1971±97. Several interesting results are documented. Ov
Multiple time series usually arise in measurements on physical systems in one of two ways. The first way is when a set of time series arise on an 'equal footing.' A distant explosion might be recorded at several contiguous recording sites. From such series can be determined, for example, characteris