Abstract
The approach based on polynomially-modified distributions, known as Gram–Charlier-like (GCl) expansions, has been proven effective to account for both excess kurtosis and skewness of financial data. In this paper, we examine GARCH models with innovations distributed as GCl expansions (GC-GARCH). The kurtosis gluts ascribable to both time-varying volatility and GCl distributed GARCH innovationsis evaluated. Furthermore, a ‘‘kurtosis targeting’’ approach is devised to estimate the kurtosis of GCl innovations. This leads to GC-GARCH models tailored to fit the kurtosis requirements of financial data
| Original language | English |
|---|---|
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | Economics Letters |
| Volume | 2019 |
| Issue number | 183 |
| DOIs | |
| Publication status | Published - 2019 |
All Science Journal Classification (ASJC) codes
- Finance
- Economics and Econometrics
Keywords
- GARCH model
- Gram–Charlier-like expansions
- Kurtosis
- Orthogonal polynomials
Fingerprint
Dive into the research topics of 'Kurtosis analysis in GARCH models with Gram–Charlier-like innovations'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver