Previous research finds that the cap rate, that is, the income-price ratio of commercial real estate, predicts future investment returns. This finding's implication on the efficiency of the real estate market crucially depends on whether the cap rate also predicts future risk. Using accurately...

Cokriging is a multivariate spatial method to estimate spatial correlated variables. This method allows spatial estimations to be made and interpolated maps of house price to be created. These maps are interesting for appraisers, real estate companies, and bureaus because they provide an...

This chapter reviews the evidence of predictability in US residential and commercial real estate markets. First, we highlight the main methodologies used in the construction of real estate indices, their underlying assumptions and their impact on the stochastic properties of the resultant...

Over the first two decades of the 21st century, there has been a high correlation betweenbalance of payment measures and housing price indexes. The international finance theory hasfocused on determining the cause of this relationship. The theory has found that deregulationin credit markets,...

This paper presents a simple rational expectations model of intertemporal asset pricing. It shows that heterogeneous risk aversion of investors is likely to generate declining aggregate relative risk aversion. This leads to predictability of asset returns and high and persistent volatility....

We use intraday data to compute weekly realized variance, skewness, and kurtosis for equity returns and study the realized moments' time-series and cross-sectional properties. We investigate if this week's realized moments are informative for the cross-section of next week's stock returns. We...

This paper argues that Blomberg and Hess's (Journal of International Economics 1997) finding that political variables can be used to predict exchange rate movements better than the random walk model must be seen in the context of the decade and half of previous research which failed to beat this...

We show that log-periodic power-law (LPPL) functions are intrinsically very hard to fit to time series. This comes from their sloppiness, the squared residuals depending very much on some combinations of parameters and very little on other ones. The time of singularity that is supposed to give...

In this paper we examine the validity of using one-year-ahead cash flows prediction tests as a substitute for the value relevance test of earnings. We show theoretically that the R2 of the cash flows prediction regression is contaminated by the presence of (1) noise in the cash flows and (2)...