This paper studies the Forward Premium Puzzle in a setting where investors doubt the specification of their models, and thus engage in robust portfolio strategies (Hansen and Sargent, 2008). It shows that an empirically plausible concern for model misspecification can explain the Forward Premium...

This paper studies exchange rate volatility within the context of the monetary model of exchange rates. We assume agents regard this model as merely a benchmark, or reference model, and attempt to construct forecasts that are robust to model misspecification. We show that revisions of robust...

This paper derives a formula for the optimal forecast of a discounted sum of future values of a random variable. This problem reflects a preference for robustness in the presence of (unstructured) model uncertainty. The paper shows that revisions of a robust forecast are more sensitive to new...

Following Campbell (1987) and Campbell and Shiller (1987), many papers have evaluated the intertemporal approach to the current account by testing restrictions on a Vector Autoregression (VAR). The attractiveness of the Campbell-Shiller methodology is that it is thought to be immune to omitted...

This paper studies a competitive banking industry subject to common and idiosyncratic shocks. The induced correlation across bank portfolio returns can be used by a regulator to improve inferences about bank portfolio choices. We compare two types of closure rules: (1) an 'absolute closure...

Using results from the literature on H-control, this paper incorporates model uncertainty into Whiteman's (1986) frequency domain approach to stabilization policy. The derived policies guarantee a minimum performance level even in the worst of (a bounded set of) circumstances. ; For a given...

This paper studies a version of Obstfeld's (1997) "escape clause" model. The model is calibrated to produce three rational expectations equilibria. Two of these equilibria are E-stable in the sense of Evans (1985), and one is unstable. Dynamics are introduced by assuming that agents must learn...