Showing 1 - 10 of 38
This paper establishes the asymptotic distributions of the impulse response functions in panel vector autoregressions with a fixed time dimension. It also proves the asymptotic validity of a bootstrap approximation to their sampling distributions. The autoregressive parameters are estimated...
Persistent link: https://www.econbiz.de/10009143143
Purpose - The purpose of this paper is to examine the ability of hedge funds and funds of hedge funds to generate absolute returns using fund level data. Design/methodology/approach - The absolute return profiles are identified using properties of the empirical distributions of fund returns. The...
Persistent link: https://www.econbiz.de/10010760028
Purpose – The purpose of this paper is to examine the ability of hedge funds and funds of hedge funds to generate absolute returns using fund level data. Design/methodology/approach – The absolute return profiles are identified using properties of the empirical distributions of fund returns....
Persistent link: https://www.econbiz.de/10014940226
Persistent link: https://www.econbiz.de/10012414691
Persistent link: https://www.econbiz.de/10012249378
The author develops and extends the asymptotic F - and t -test theory in linear regression models where the regressors could be deterministic trends, unit-root processes, near-unit-root processes, among others. The author considers both the exogenous case where the regressors and the regression...
Persistent link: https://www.econbiz.de/10014313748
This article describes how the most widely used clustering, k-means, is prone to fall into a local optimum. Notably, traditional clustering approaches are directly performed on private data and fail to cope with malicious attacks in massive data mining tasks against attackers' arbitrary...
Persistent link: https://www.econbiz.de/10012044241
Persistent link: https://www.econbiz.de/10012192372
The paper develops an asymptotically valid F-test that is robust to spatial autocorrelation in a GMM framework. The validity of the F-test is established under mild conditions that can accommodate a wide range of spatial processes. The proposed F-test is very easy to implement, as critical...
Persistent link: https://www.econbiz.de/10011196531
In the presence of heteroscedasticity and autocorrelation of unknown forms, the covariance matrix of the parameter estimator is often estimated using a nonparametric kernel method that involves a lag truncation parameter. Depending on whether this lag truncation parameter is specified to grow at...
Persistent link: https://www.econbiz.de/10010730135