We propose a technique to avoid spurious detections of jumps in highfrequencydata via an explicit thresholding on available test statistics. Weprove that it eliminates asymptotically all spurious detections. MonteCarlo results show that it performs also well in finite samples. In DowJones...

Many postulated relations in finance imply that expected asset returns should monotonicallyincrease in a certain characteristic. To examine the validity of such a claim, onetypically considers a finite number of return categories, ordered according to the underlyingcharacteristic. A standard...

In this paper, we examine the dynamic behavior of credit spreads on corporate bond portfolios. We propose an econometric model of credit spreads that incorporates portfolio rebalancing, the near unit root property of spreads, the autocorrelation in spread changes, the ARCH conditional...

Risk management and the thorough understanding of the relations betweenfinancial markets and the standard theory of macroeconomics have always been among the topics most addressed by researchers, both financial mathematicians and economists. This work aims at explaining investors behavior from a...

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...