Asymptotic behavior of mixed power variations and statistical estimation in mixed models
Marco Dozzi, Yuliya Mishura, Georgiy Shevchenko

TL;DR
This paper studies the asymptotic properties of mixed power variations involving Wiener and fractional Brownian motions, and uses these results to develop consistent parameter estimators in mixed models.
Contribution
It provides new asymptotic analysis of mixed power variations and introduces strongly consistent estimators for parameters in mixed stochastic models.
Findings
Asymptotic behavior of mixed power variations characterized
Strongly consistent parameter estimators constructed
Results applicable to models combining Wiener and fractional Brownian motions
Abstract
We obtain results on both weak and almost sure asymptotic behaviour of power variations of a linear combination of independent Wiener process and fractional Brownian motion. These results are used to construct strongly consistent parameter estimators in mixed models.
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Stochastic processes and financial applications · Complex Systems and Time Series Analysis
