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Abstract.  The authors develop and estimate an equilibrium‐based model of the Canadian term structure of interest rates. The proposed model incorporates a vector‐autoregression description of key macroeconomic dynamics and links them to those of the term structure, where identifying restrictions are based on the first‐order conditions that describe the representative investor's optimal consumption and portfolio plan. A remarkable result is that the in‐sample average pricing errors obtained with the equilibrium‐based model are only slightly larger than those obtained with a far more flexible no‐arbitrage model. The gains associated with parsimony become obvious out‐of‐sample, where the equilibrium model delivers much more accurate predictions, especially for yields with longer‐term maturities. The preferred equilibrium model has impulse responses that are consistent with long‐term inflation expectations being anchored, so a surprise increase in inflation does not necessarily raise expectations of higher future inflation.

We extend the macroeconomic literature on Ss‐type rules by introducing infrequent information in a kinked adjustment‐cost model. We first show that optimal individual decision rules are both state and time dependent. We then develop an aggregation framework to study the macroeconomic implications of such optimal individual decision rules. In our model, a vast number of agents act together, and more so when uncertainty is large. The average effect of an aggregate shock is inversely related to its size and to aggregate uncertainty. These results contrast with those obtained with full information adjustment cost models. JEL Classification: E0,E1,E2,E3 Les effets macroéconomiques de l'information infréquente quand il y a des coûts d'ajustement. Les auteurs étendent la portée de la littérature spécialisée sur les règles de type Ss en proposant des postulats d'information infréquente et de fonction de coûts d'ajustement pliée. On montre que les règles de décision optimales des individus dépendent à la fois de l'état de l'environnement et du moment. On développe alors un cadre d'agrégation pour étudier les impacts macroéconomiques de ces règles optimales de décision. Dans ce modèle, un grand nombre d'agents agissent de concert, et optimales ce d'autant plus que l'incertitude s'accroît. L'effet moyen d'un choc au niveau global est inversement reliéà son importance et au niveau d'incertitude agrégée. Ces résultats contredisent ceux qu'on obtient dans des modèles de coûts d'ajustement avec pleine information.

Abstract.  This paper surveys recent developments in the theory of option pricing. The emphasis is on the interplay between option prices and investors' impatience and their aversion to risk. The traditional view, steeped in the risk‐neutral approach to derivative pricing, has been that these preferences play no role in the determination of option prices. However, the usual lognormality assumption required to obtain preference‐free option pricing formulas is at odds with the empirical properties of financial assets. The lognormality assumption is easily reconcilable with those properties by the introduction of a latent state variable whose values can be interpreted as the states of the economy. The presence of a covariance risk with the state variable makes option prices depend explicitly on preferences. Generalized option pricing formulas, in which preferences matter, can explain several well‐known empirical biases associated with preference‐free models such as that of Black and Scholes (1973) and the stochastic volatility extensions of Hull and White (1987) and Heston (1993).