This reseach reexamines the efficiency hypothesis of the real estate m
arket using monthly data and the vector autoregressive (VAR) modelling
technique. The tests focus on the causal linkage between real estate
returns and a number of relevant financial and economic variables. An
eight-by-eight VAR model is estimated using the FPE and the specific g
ravity criteria, in conjunction with an extensive series of specificat
ion tests. The empirical results distilled from system estimations sug
gest that the real estate market is efficient with respect to availabl
e information on the industrial production, the risk premia, the term
structure of interest rates, and the monetary base. Movements in these
variables are quickly and fully utilized by market agents, perhaps ow
ing to the intensity with which their relationship with stock returns
has been discussed in the literature and the popular media. However, t
he results also suggest the presence of a significant lagged relations
hip between real estate returns and fiscal policy moves, even when the
paths through other potential determinants of these returns are taken
into account. Of course, our finding that the fiscal policy measure i
s useful in predicting stock returns does not necessarily imply that t
he real estate market is inefficient. At a minimum, inefficiency is re
vealed only if a careful analysis of the budgetary process can help de
sign a profitable (exploitable) trading strategy.