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Feb 8, 2001
Krannert G16
Lan Zhang, University of Chicago
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Abstract:
Implied volatility and realized volatility are two different
ways to describe the variations in the price returns of financial data.
Their relationship, however, remains unclear in the literature. In this
research, we establish a theoretical connection between these two types of
volatility. We find that depending on the smoothness level of the
cumulative implied volatility, the implied-realized association can be
represented differently.
Moreover, this relationship can be tested empirically. Using a
non-parametric approach and martingale decomposition, on the one hand we
are able to obtain estimators for the two variations in price returns. We
examine the statistical properties of the procedure -- in particular, how to
set confidence intervals -- and we investigate the impact of the estimation
scheme on trading error. On the other hand, we can combine our theoretical
findings with the ideas of ANOVA in analyzing stock-return variation in
incomplete financial markets. This latter method decomposes the variation
content implied from an option into two parts: the variation "observed"
from historical price returns, and the residual variation
(< Z, Z >) which
may contain the variation from one or several extra instruments. A main
device in the theoretical analysis is finding the small interval
asymptotic distribution for the estimation error of
< Z, Z >. Finally we
discuss the implications of residual variation on the volatility model,
and carry out numerical experiments and a data analysis with S P500 data.
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2001 Purdue University
Last Update: July 10, 2001
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