Volatility inference in the presence of both endogenous time and microstructure noise
نویسندگان
چکیده
منابع مشابه
Forecasting return volatility in the presence of microstructure noise
Measuring and forecasting volatility of asset returns is very important for asset trading and risk management. There are various forms of volatility estimates, including implied volatility, realized volatility and volatility assumed under stochastic volatility models and GARCH models. Research has shown that these different methods are closely related but have different perspectives, strengths ...
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The notion of realized volatility as a model-free measurement of the quadratic variation of the underlying log price process loses its asymptotic validity in the presence of market microstructure noise. Should microstructure contaminations be present, the summing of an increasing number of squared return data (as in the definition of the realized volatility estimator) simply entails increasing ...
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There are two variance components embedded in the returns constructed using high-frequency asset prices: the time-varying variance of the unobservable efficient returns that would prevail in a frictionless economy and the variance of the equally unobservable microstructure noise. Using sample moments of high-frequency return data recorded at different frequencies, we provide a simple and robust...
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ژورنال
عنوان ژورنال: Stochastic Processes and their Applications
سال: 2013
ISSN: 0304-4149
DOI: 10.1016/j.spa.2013.04.002