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work, establishing power properties for unit root and cointegration tests, assisting the construction of uniform confidence …
Persistent link: https://www.econbiz.de/10012932857
This paper introduces a new Empirical Mode Decomposition (EMD) Python package called AdvEMDpy that is demonstrably more flexible and which generalises in numerous important ways the existing EMD packages available in Python, R, and MATLAB. The extensions introduced by this AdvEMDpy package both...
Persistent link: https://www.econbiz.de/10013323403
This paper considers the dynamics of spot and futures prices in the presence of arbitrage. A partially linear error correction model is proposed where the adjustment coefficient is allowed to depend non-linearly on the lagged price difference. The model is estimated using data on the DAX index...
Persistent link: https://www.econbiz.de/10009750074
Persistent link: https://www.econbiz.de/10001751669
Nonparametric estimation of a structural cointegrating regression model is studied. As in the standard linear cointegrating regression model, the regressor and the dependent variable are jointly dependent and contemporaneously correlated. In nonparametric estimation problems, joint dependence is...
Persistent link: https://www.econbiz.de/10014217972
of the errors, and the cointegration vector. The estimator is semiparametric in the sense that it employs local … matrix. Thus, the estimates of the integration orders are asymptotically independent of the estimate of the cointegration …
Persistent link: https://www.econbiz.de/10014116818
We investigate inflation persistence in six inflation targeting (IT) countries from the global-economy perspective. This view maintains that inflation persistence in IT countries has declined mainly because of the decline of inflation persistence in the global economy. We provide empirical...
Persistent link: https://www.econbiz.de/10012968413
This paper considers a general model specification between a parametric co-integrating model and a nonparametric co-integrating model in a multivariate regression model, which involves a univariate integrated time series regressor and a vector of stationary time series regressors. A new and...
Persistent link: https://www.econbiz.de/10013101176
analyze the benefits of a pooled version of the estimate. The empirical applicability of our general cointegration test is …
Persistent link: https://www.econbiz.de/10011524765
We consider semiparametric frequency domain analysis of cointegration between long memory processes, i.e. fractional … cointegration, allowing derivation of useful long-run relations even among stationary processes. The approach is due to Robinson …-run dynamics. We derive the asymptotic distribution theory for the FDLS estimator of the cointegration vector in the stationary …
Persistent link: https://www.econbiz.de/10014067273