This paper deals with the relation between the term structure of rents and future spot rents.

We consider the possibility of estimating a Dickey-Fuller regression, constraining the autoregressive parameter to be at most one, and imposing prior knowledge of the sign of the drift parameter. ...

Based on a sample of 7,378 firms going public in the 1975-2005 period, we document a significant underperformance of IPO firms over the first year after going public, while there is virtually no underperformance thereafter. Moreover, by decomposing the Carhart-alpha we find that IPO...

Based on a new methodological framework we investigate IPO (under-)performance in asample of 7,378 firms going public in the 1975-2005 period. We explicitly vary the time horizonin our analysis and document a significant underperformance of IPO firms over the firstyear after going public, while...

The current financial market crisis has impressively demonstrated the importance of aneffective credit risk management for financial institutions. At the same time, the use and thevaluation of credit derivatives has been widely criticised as a result of the crisis. Over the pastdecade, credit...

We consider time series models in which the conditional mean of the response variable given thepast depends on latent covariates. We assume that the covariates can be estimated consistentlyand use an iterative nonparametric kernel smoothing procedure for estimating the conditional meanfunction....

Using two newly available ultrahigh-frequency datasets, we investigate empirically how frequently one can sample certain foreign exchange and U.S. Treasury security returns without contaminating estimates of their integrated volatility with market microstructure noise. We find that one can...

Recent research concerned with enhancing conservatism corrections of linearinformation models (LIMs) reports a decrease in bias as compared to the Ohlson (1995)model. However, inaccuracy is not significantly reduced. These findings raise twoquestions: First, are LIMs able to capture...

We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the DLV algorithm proposed. This algorithm...

A new test for constant correlation is proposed. Based on the bivariate Student-t distribution, this test is derived as Lagrange multiplier (LM) test. Whereas most of the traditional tests (e.g. Jennrich, 1970, Tang, 1995 and Goetzmann, Li & Rouwenhorst, 2005) specify the unknown correlations as...