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Many econometric and data-science applications require a reliable estimate of the covariance matrix, such as Markowitz portfolio selection. When the number of variables is of the same magnitude as the number of observations, this constitutes a difficult estimation problem; the sample covariance...
Persistent link: https://www.econbiz.de/10012849284
We introduce a novel covariance estimator that exploits the heteroskedastic nature of financial time series by employing exponential weighted moving averages and shrinking the in-sample eigenvalues through cross-validation. Our estimator is model-agnostic in that we make no assumptions on the...
Persistent link: https://www.econbiz.de/10013244599
Many macroeconomic and financial variables show highly persistent and correlated patterns but not necessarily cointegrated. Recently, Sun, Hsiao and Li (2010) propose using a semiparametric varying coefficient approach to capture correlations between integrated but non cointegrated variables....
Persistent link: https://www.econbiz.de/10013077119
-synchronicity of observation times has no impact on the asymptotics and that major efficiency gains are possible under correlation …
Persistent link: https://www.econbiz.de/10013077180
weighted sum of their respective multivariate attributes, many papers in the literature have used linear canonical correlation … suggest some solutions. -- matching ; marriage ; assignment ; assortative matching ; canonical correlation …
Persistent link: https://www.econbiz.de/10009631441
This paper considers the problem of testing cross-sectional correlation in large panel data models with serially …-correlated errors. It finds that existing tests for cross-sectional correlation encounter size distortions with serial correlation in … account for serial correlation of an unknown form in the error term. We derive the limiting distribution of this test as (N …
Persistent link: https://www.econbiz.de/10011650378
estimator, we show that when T is large, a generalized least squares estimator that ignores the correlation between the … the known correlation pattern, we derive the asymptotic properties of panel least squares estimators. Simulations are used …
Persistent link: https://www.econbiz.de/10012025649
Under rotation-equivariant decision theory, sample covariance matrix eigenvalues can be optimally shrunk by recombining sample eigenvectors with a (potentially nonlinear) function of the unobservable population covariance matrix. The optimal shape of this function reflects the loss/risk that is...
Persistent link: https://www.econbiz.de/10012030045
Many econometric and data-science applications require a reliable estimate of the covariance matrix, such as Markowitz portfolio selection. When the number of variables is of the same magnitude as the number of observations, this constitutes a difficult estimation problem; the sample covariance...
Persistent link: https://www.econbiz.de/10012018920
In this paper, we propose a robust approach against heteroskedasticity, error serial correlation and slope … correlation and dependence of the random coefficient with covariates. The test is of great importance, since the widely used …
Persistent link: https://www.econbiz.de/10011879510