Abstract
We derive a nonparametric test for constant beta over a fixed time interval from high-frequency observations of a bivariate Itô semimartingale. Beta is defined as the ratio of the spot continuous covariation between an asset and a risk factor and the spot continuous variation of the latter. The test is based on the asymptotic behavior of the covariation between the risk factor and an estimate of the residual component of the asset, that is orthogonal (in martingale sense) to the risk factor, over blocks with asymptotically shrinking time span. Rate optimality of the test over smoothness classes is derived.
Original language | English (US) |
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Pages (from-to) | 2955-2988 |
Number of pages | 34 |
Journal | Stochastic Processes and their Applications |
Volume | 125 |
Issue number | 8 |
DOIs | |
State | Published - Aug 1 2015 |
Keywords
- High-frequency data
- Nonparametric tests
- Stochastic volatility
- Time-varying beta
ASJC Scopus subject areas
- Statistics and Probability
- Modeling and Simulation
- Applied Mathematics