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We develop a test for stationarity of latent volatility curves over time using high-frequency financial data. For deriving the asymptotic size and power of the test, we establish a functional invariance principle for semimartingales under a strong mixing condition. The power properties of our...
Persistent link: https://www.econbiz.de/10014349529
with in-fill asymptotic arguments for uniquely identifying the \large" jumps from the data. The estimation allows for very … variation in the stochastic volatility. On implementing the new estimation procedure with actual high-frequency data for the S …
Persistent link: https://www.econbiz.de/10013133664
We develop a new efficient and analytically tractable method for estimation of parametric volatility models that is … empirical Laplace transform of the unobservable volatility. The estimation then is done by matching moments of the integrated …
Persistent link: https://www.econbiz.de/10013137409
with in-fill asymptotic arguments for uniquely identifying the "large" jumps from the data. The estimation allows for very … variation in the stochastic volatility. On implementing the new estimation procedure with actual high-frequency data for the S …
Persistent link: https://www.econbiz.de/10013144212
estimation contexts. An empirical application to 5-minute data for three large-cap stocks, 1997-2010, reveals the importance of …
Persistent link: https://www.econbiz.de/10013119658
with model estimation for S&P Index returns, suggests that volatility moves are best captured by infinite variation pure …
Persistent link: https://www.econbiz.de/10013119659
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