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In pricing primary-market options and in making secondary markets, financial intermediaries depend on the quality of forecasts of the variance of the underlying assets. Hence, the gain from improved pricing of options would be a measure of the value of a forecast of underlying asset returns....
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We suggest that the term structure of volatility futures (e.g. VIX futures) shows a clear pattern of dependence on the … level (over 30) it is strongly downward sloping. We use those features to better predict future volatility and index futures …. We begin by introducing some quantitative measures of volatility term structure (VTS) and volatility risk premium (VRP …
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This study investigates the role of oil futures price information on forecasting the US stock market volatility using … futures realized volatility. In particular, the multivariate HAR model outperforms the univariate model. Accordingly …, considering the contemporaneous connection is useful to predict the US stock market volatility. Furthermore, these findings are …
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Many ways exist to measure and model financial asset volatility. In principle, as the frequency of the data increases …, the quality of forecasts should improve. Yet, there is no consensus about a true' or best' measure of volatility. In this … paper we propose to jointly consider absolute daily returns, daily high-low range and daily realized volatility to develop a …
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