This paper considers the problem of testing for the presence of a continuous part in a semimartingale sampled at high frequency. We provide two tests, one where the null hypothesis is that a continuous component is present, the other where the continuous component is absent, and the model is then driven by a pure jump process. When applied to high-frequency individual stock data, both tests point toward the need to include a continuous component in the model. © Institute of Mathematical Statistics, 2010.
CITATION STYLE
Aït-Sahalia, Y., & Jacod, J. (2010). Is brownian motion necessary to model high-frequency data? Annals of Statistics, 38(5), 3093–3128. https://doi.org/10.1214/09-AOS749
Mendeley helps you to discover research relevant for your work.