Bradley Paye

Assistant Professor of Finance


Curriculum vitae


Department of Finance, Insurance, and Business Law

Virginia Tech



The Impact of Microstructure Noise on the Distributional Properties of Daily Stock Returns Standardized by Realized Volatility


Journal article


Jeff Fleming, Bradley S. Paye, Jones
2006

Semantic Scholar
Cite

Cite

APA   Click to copy
Fleming, J., Paye, B. S., & Jones. (2006). The Impact of Microstructure Noise on the Distributional Properties of Daily Stock Returns Standardized by Realized Volatility.


Chicago/Turabian   Click to copy
Fleming, Jeff, Bradley S. Paye, and Jones. “The Impact of Microstructure Noise on the Distributional Properties of Daily Stock Returns Standardized by Realized Volatility” (2006).


MLA   Click to copy
Fleming, Jeff, et al. The Impact of Microstructure Noise on the Distributional Properties of Daily Stock Returns Standardized by Realized Volatility. 2006.


BibTeX   Click to copy

@article{jeff2006a,
  title = {The Impact of Microstructure Noise on the Distributional Properties of Daily Stock Returns Standardized by Realized Volatility},
  year = {2006},
  author = {Fleming, Jeff and Paye, Bradley S. and Jones}
}

Abstract

Previous studies find that daily stock returns standardized by realized volatility are approximately standard normal. This evidence suggests that jumps are not an empirically relevant feature of stock prices, which is inconsistent with a growing body of research that directly tests for and finds evidence of jumps. This paper resolves the apparent contradiction. We show that upward bias in realized volatility estimates due to microstructure noise can artificially reduce the variance and increase the kurtosis of standardized returns and lead to the false appearance that returns are approximately standard normal. Using a bias-corrected realized volatility estimator, we find that standardized returns exhibit substantial departures from the standard normal and, in fact, are platykurtotic, consistent with a process in which jumps are empirical relevant.


Share



Follow this website


You need to create an Owlstown account to follow this website.


Sign up

Already an Owlstown member?

Log in