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Risk Premia and Variance Bounds.

Journal of Finance 1997 52(5), 1913-49
If a pricing kernel assigns a premium to a risk variable that differs from the one assigned by the minimum-variance admissible kernel, then the pricing kernel must exhibit more variability than the minimum-variance kernel. Based on this intuition, the authors derive a variance bound that is more stringent than that of Lars Peter Hansen and Ravi Jagannathan (1991). When the authors apply their bound to the kernel of a representative consumer with power utility, they find that the consumption risk premium increases the severity of the 'equity-premium puzzle' of Rajnish Mehra and Edward C. Prescott (1985).

Risk Premia and Variance Bounds

Journal of Finance 1997 52(5), 1913-1949
ABSTRACT If a pricing kernel assigns a premium to a risk variable that differs from the one assigned by the minimum‐variance admissible kernel, then the pricing kernel must exhibit more variability than the minimum‐variance kernel. Based on this intuition, we derive a variance bound that is more stringent than that of Hansen and Jagannathan (1991) . When we apply our bound to the kernel of a representative consumer with power utility, we find that the consumption risk premium increases the severity of the “equity‐premium puzzle” of Mehra and Prescott (1985) .

Risk Premia and Variance Bounds

Journal of Finance 1997 52(5), 1913
If a pricing kernel assigns a premium to a risk variable that differs from the one assigned by the minimum-variance admissible kernel, then the pricing kernel must exhibit more variability than the minimum-variance kernel. Based on this intuition, we derive a variance bound that is more stringent than that of Hansen and Jagannathan (1991). When we apply our bound to the kernel of a representative consumer with power utility, we find that the consumption risk premium increases the severity of the “equity-premium puzzle” of Mehra and Prescott (1985).