Abstract

In this paper, we investigate the presence of multiple horizon causation from stock return volatility to the growth rates of industrial production in terms of a causal chain system, where monetary policy instruments and inflation operate as auxiliary processes. Multiple horizon non-causality is tested by implementing the test procedure proposed by Dufour et al. (2006) on data from four economies, namely USA, Germany, Japan and Italy. Our results reveal a large number of highly significant direct and indirect causality links of significant size running from stock return volatility to output growth at both short- and long-horizons in all four economies. A pseudo out-of-sample forecasting evaluation also shows how conditioning on such information yields better output growth predictions at different forecast periods.

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