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A rapidly growing literature has documented important improvements in volatility measurement and forecasting … provides a practical framework for non-parametrically measuring the jump component in realized volatility measurements … an easy-to-implement reduced form model for realized volatility results in highly significant jump coefficient estimates …
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Volatility has been one of the most active and successful areas of research in time series econometrics and economic … empirical insights to emerge from this burgeoning literature, with a distinct focus on forecasting applications. Volatility is … inherently latent, and Section 1 begins with a brief intuitive account of various key volatility concepts. Section 2 then …
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It is well known that high-frequency asset returns are fat-tailed relative to the Gaussian distribution tails are typically reduced but not eliminated when returns are standardized by volatilities estimated from popular models such as GARCH. We consider two major dollar exchange rates, and we...
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ARCH and stochastic volatility models. We consider two major dollar exchange rates, and we show that returns standardized …
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formulate and examine precise and separate measures of return spillovers and volatility spillovers. Our framework facilitates … evidence of divergent behavior in the dynamics of return spillovers vs. volatility spillovers: Return spillovers display a … gently increasing trend but no bursts, whereas volatility spillovers display no trend but clear bursts. -- Contagion ; Herd …
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