During the week of September 24, we will be implementing some features to improve ERA. Some users may encounter errors when depositing or editing files. We apologize for any potential inconvenience, and will remove this message when we are done our maintenance upgrade!
- 15 views
- 5 downloads
Microstructure Models with Short-term Inertia and Stochastic Volatility.
-
- Author(s) / Creator(s)
-
Partially-observed microstructure models, containing stochastic volatility, dynamic trading noise and short term inertia, are introduced to address the following questions: (1) Do the observed prices exhibit statistically signicant inertia? (2) Is stochastic volatility (SV) still evident in the presence of dynamical trading noise? (3) If so, which SV model matches the observed price data best? Bayes factor methods are chosen for determining best-fit to allow volatility models with very different structures to be considered. Nonlinear filtering techniques are utilized to compute the Bayes factor on tick-by-tick data and to estimate the unknown parameters. Our price data sets all exhibit strong evidence of both inertia and Heston-type stochastic volatility.
-
- Date created
- 2013-06-25
-
- Type of Item
- Article (Draft / Submitted)