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This paper provides a general framework for integration of high-frequency intraday data into the measurement forecasting of daily and lower frequency volatility and return distributions. Most procedures for modeling and forecasting financial asset return volatilities, correlations, and...
Persistent link: https://www.econbiz.de/10012787458
Volatility permeates modern financial theories and decision making processes. As such, accurate measures and good forecasts of future volatility are critical for the implementation and evaluation of asset pricing theories. In response to this, a voluminous literature has emerged for modeling the...
Persistent link: https://www.econbiz.de/10012774886
What do academics have to offer market risk management practitioners in financial institutions? Current industry practice largely follows one of two extremely restrictive approaches: historical simulation or RiskMetrics. In contrast, we favor flexible methods based on recent developments in...
Persistent link: https://www.econbiz.de/10012784980
We selectively survey, unify and extend the literature on realized volatility of financial asset returns. Rather than focusing exclusively on characterizing the properties of realized volatility, we progress by examining economically interesting functions of realized volatility, namely realized...
Persistent link: https://www.econbiz.de/10013224993
with in-fill asymptotic arguments for uniquely identifying the "large" jumps from the data. The estimation allows for very … variation in the stochastic volatility. On implementing the new estimation procedure with actual high-frequency data for the S …
Persistent link: https://www.econbiz.de/10013144212