## Abstract This study investigates whether the newly cultivated platform of volatility derivatives has altered the volatility of the underlying S&P500 index. The findings suggest that the onset of the volatility derivatives trading has lowered the volatility of both the cash market volatility and
The impact of stationarity assessment on studies of volatility and value-at-risk
✍ Scribed by J. Leśkow
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 773 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0895-7177
No coin nor oath required. For personal study only.
✦ Synopsis
Recent research on volatility of asset returns demonstrates
that model innovations frequently show unconditional heteroscedasticity.
On the other hand, ARMA-GARCH models incorporate the heteroscedasticity only in the conditional distribution of the innovations, assuming the unconditional distributions to be stationary (see, e.g., [1,2]). G' lven the observed unconditional heteroscedasticity of the return innovations 131, there is a need to overcome this shortcoming of existing models.
The purpose of this paper is to introduce a test of stationarity of the innovations and show its impact in the analysis of volatility and value at risk. The methodological results are accompanied with examples and simulations.
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