The co-movement of stocks and of fundamentals changes across the business cycle. Empiricalstudies have shown that the correlation of stock returns is stronger in crisis. Weshow that the correlation of fundamentals is the highest during crisis using a large sampleof quarterly firm revenues...

This paper examines the change in operating and financial performance of Swedish firmsthat were either partly or fully privatized during the period of 1989-2007. Two differentmethods are used to empirically investigate the performance of privatized firms. First,accounting data prior to and after...

This paper uses dimension asymptotics to study why overfit linear regression models shouldbe compared out-of-sample; we let the number of predictors used by the larger model increasewith the number of observations so that their ratio remains uniformly positive. Under this limittheory, the naive...

This paper derives the asymptotic distribution of the F-test for the significance oflinear regression coefficients as both the number of regressors, k, and the number ofobservations, n, increase together so that their ratio remains positive in the limit. Theconventional critical values for this...

We propose a strategy to identify the complementarity or substitutability amongtechnology bundles. Under the assumption that alternative technologies are independent,we develop a hypothetical distribution of multiple technology adoptions. Differencesbetween the observed distribution of...

We propose a strategy to identify the complementarity or substitutability amongtechnology bundles. Under the assumption that alternative technologies are independent,we develop a hypothetical distribution of multiple technology adoptions. Differencesbetween the observed distribution of...

International evidence on the accrual anomaly is sparse and conflicting. Testing for accrual mispricing in 28 equity markets, we provide statistical evidence for anomalous returns in some countries. However, we question whether this result might have occurred by chance alone and that it might...

We propose a new multivariate GARCH model with Dynamic Conditional Correlations that extends previous models by admitting multivariate thresholds in conditional volatilitiesand correlations. The model estimation is feasible in large dimensions and the positive definiteness of the conditional...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

The validation of probability calibration is an inherently difficult task. We develop a testing procedure for credit-scoring models. The models comprise two components to check whether the ex-ante probabilities support the ex-post frequencies. The first component tests the level of the...