This paper studies the empirical performance of stochastic volatility models for twenty years of weekly exchange rate data for four major currencies. We concentrate on the eects of the distribution of the exchange rate innovations for both parameter estimates and for estimates of the latent volatili
Estimation of integrated volatility in stochastic volatility models
โ Scribed by Jeannette H. C. Woerner
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 182 KB
- Volume
- 21
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.548
No coin nor oath required. For personal study only.
โฆ Synopsis
Institut f . u ur Mathematische Stochastik, Universit . a at G . o ottingen, Maschm . u uhlenweg 8-10, D-37073 G . o ottingen, Germany
๐ SIMILAR VOLUMES
## Abstract In regression model with stochastic design, the observations have been primarily treated as a simple random sample from a bivariate distribution. It is of enormous practical significance to generalize the situation to stochastic processes. In this paper, estimation and hypothesis testin
In forecasting a ยฎnancial time series, the mean prediction can be validated by direct comparison with the value of the series. However, the volatility or variance can only be validated by indirect means such as the likelihood function. Systematic errors in volatility prediction have an `economic val
Most of the empirical applications of the stochastic volatility (SV) model are based on the assumption that the conditional distribution of returns, given the latent volatility process, is normal. In this paper, the SV model based on a conditional normal distribution is compared with SV speciยฎcation
This study examined whether the inclusion of an appropriate stochastic volatility that captures key distributional and volatility facets of stock index futures is sufficient to explain implied volatility smiles for options on these markets. I considered two variants of stochastic volatility models r