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This paper features an analysis of the cointegration relationships among agricultural commodity, ethanol and Cushing … cointegration and Markov-switching VECM and Impulse Response Analysis, confirms that these markets have significant linkages which … vary according to whether they are in low or high volatility regimes. …
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The paper features an examination of the link between the behaviour of the FTSE 100 and S&P500 Indexes in both an autoregressive distributed lag ARDL, plus a nonlinear autoregressive distributed lag NARDL framework. The attraction of NARDL is that it represents the simplest method available of...
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degree of volatility risk in stock and index returns, where we characterize volatility risk by the extent to which … forecasting errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation … distribution of returns. Explicitly modeling this volatility risk is fundamental. We propose a dually asymmetric realized …
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Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets … of data, daily realized volatility estimates taken from the Oxford Man RV library, running from the beginning of 2000 to …) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to …
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using volatility impulse response analysis. The data set features ten years of daily returns series for the New York Stock … independent shocks on volatility through time, while avoiding typical orthogonalization and ordering problems. Volatility impulse … response functions (VIRF) provide information about the impact of independent shocks on volatility. HHś VIRF extends a …
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