The firm's inventory-sales ratio prices exposure to the housing cycle with a predictable sign. The buyer of a new home holds a pre-construction contract at a guaranteed price with the right to cancel at any date up to delivery. The demand for contracts rises with falling user costs while lot...

This paper aims at providing both a conceptual and practical framework for assessing real estate risk factors as a way of predicting real estate yields. Real estate returns - as those of any financial asset - are linked to their risk. However, real estate risk is much more difficult to measure...

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...

The firm’s inventory-sales ratio prices exposure to the housing cycle with a predictable sign. The buyer of a new home holds a pre-construction contract at a guaranteed price with the right to cancel at any date up to delivery. The demand for contracts rises with falling user costs while lot...

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,...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...

Multi-fractal processes have been proposed as a new formalism for modeling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found to characterize...

Multi-fractal processes have recently been proposed as a new formalism for modelling the time series of returns in finance. The major attraction of these processes is their ability to generate various degrees of long memory in different powers of returns - a feature that has been found in...

We investigate the predictability of both volatility and volume for a large sample of Japanese stocks. The particular emphasis of this paper is on assessing the performance of long memory time series models in comparison to their short-memory counterparts. Since long memory models should have a...