Econometrica: Jan, 2009, Volume 77, Issue 1
Bootstrapping Realized Volatility
https://doi.org/10.3982/ECTA5971
p. 283-306
SĂlvia Gonçalves, Nour Meddahi
We propose bootstrap methods for a general class of nonlinear transformations of realized volatility which includes the raw version of realized volatility and its logarithmic transformation as special cases. We consider the independent and identically distributed (i.i.d.) bootstrap and the wild bootstrap (WB), and prove their firstâorder asymptotic validity under general assumptions on the logâprice process that allow for drift and leverage effects. We derive Edgeworth expansions in a simpler model that rules out these effects. The i.i.d. bootstrap provides a secondâorder asymptotic refinement when volatility is constant, but not otherwise. The WB yields a secondâorder asymptotic refinement under stochastic volatility provided we choose the external random variable used to construct the WB data appropriately. None of these methods provides thirdâorder asymptotic refinements. Both methods improve upon the firstâorder asymptotic theory in finite samples.
Supplemental Material
Supplement to "Bootstrapping Realized Volatility"
This Appendix introduces some notation, provides auxiliary lemmas (and their proofs), and proves Proposition 4.2 and part c) of Proposition 4.3.
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