We test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability. Using thirty-four industry portfolios and the broad market index as our test assets, we establish several key results. First, a number of industries such as retail,...

We use a parametric portfolio approach to estimate optimal commercial real estate portfolio policies. We do so using the NCREIF data set of commercial properties over the sample period 1984:Q2 to 2009:Q1. The richness of this extensive data set and the flexibility of the parametric portfolio...

Relying on a simple general equilibrium model of the term structure, both nominal yields and real consumption growth rates can be shown to be a±ne in the unobservable state variables. We can then express real consumption growth rates in terms of nominal yields rather than the unobservable...

Abel's (1998) intertemporal asset pricing model implies that the autocorrelation pattern in expected returns reflects that observed in output growth rates. Consequently, by using the observed autocorrelation properties of macroeconomic data, we are able to provide univariate tests with power to...

Statistical inference in predictive regressions depends critically on the stochastic properties of the posited explanatory variable, in particular, its order of integration. However, confidence intervals for the largest autoregressive root of explanatory variables commonly used in predictive...

If yields are assumed to have an exact unit-root, it has previously been shown that the rational expectations hypothesis of the term structure (REHTS) has been rejected by single-equation tests. However, small deviations from exact unit-root produce substantial changes in the small sample...

We investigate whether the cap rate, that is, the rent-price ratio in commercial real estate incorporates information about future expected real estate returns and future growth in rents. Relying on transactions data spanning several years across fifty-three metropolitan areas in the U.S., we...

We introduce Mixed Data Sampling (henceforth MIDAS) regression models. The regressions involve time series data sampled at different frequencies. Technically speaking MIDAS models specify conditional expectations as a distributed lag of regressors recorded at some higher sampling frequencies. We...

Suppose that the equity premium is forecasted by dividend yields. Even if such a relationship does exist, there is so much noise in the equity premium that estimation, inference and forecasting cannot be carried out using the faint signal coming from the dividend yields. For analyzing...