This paper studies new tests for the number of latent factors in a large cross-sectional factor model with small time dimension. These tests are based on the eigenvalues of variance-covariance matrices of (possibly weighted) asset returns, and rely on either an assumption of spherical errors, or...

We study Tikhonov Regularized estimation of quantile structural effects implied by a nonseparable model. The nonparametric instrumental variable estimator is based on a minimum distance principle. We show that the minimum distance problem without regularization is locally ill-posed, and consider...

We consider asymmetric kernel density estimators and smoothed histogramswhen the unknown probability density function f is defined on [0, +∞). Uniform weak consistency on each compact set in [0, +∞) is proved for these estimators when "f" is continuous on its support. Weak convergence in L...

Macroeconomic time series often involve a threshold effect in theirARMA representation, and exhibit long memory features. In this paperwe introduce a new class of threshold ARFIMA models to account forthis. The threshold effect is introduced in the autoregressive and/or thefractional integration...

This paper investigates some common determinants of default probability changes ofindividual firms using Standard & Poor's ratings database. We analyze and quantify the re-sponses of hazard rates to changes in various economic variables, namely financial markets,business cycle and credit...

Das Ziel des aktiven Portfoliomanagements ist es, eine bessere Performance als eine ex-ante definierte Benchmark zu erzielen. Die amerikanischen Aktienfonds sind zu 90% aktiv gemanagt und halten insgesamt 25% der Aktien in Amerika. Wegen des hohen Anteils gehaltener Aktien am Gesamtmarkt ist es...

Using the wavelet-Galerkin method for solving partial integro-differential equations, we derive an implement computationally efficient formula for pricing European options on assets driven by multivariate jump-diffusions. This pricing formula is then used to solve the inverse problem of...