Multivariate Lagrange Multiplier Tests for Fractional Integration
AbstractWe introduce a multivariate Lagrange Multiplier (LM) test for fractional integration. We derive and analyze the LM statistic and show that it is asymptotically chi-squared distributed under local alternatives, and that, under Gaussianity, the LM test is asymptotically efficient against local alternatives. It is shown that the regression variant in Breitung & Hassler (2002, Journal of Econometrics 110, 167-185) is not equivalent to the LM test in the multivariate case, although it is in the univariate case. A generalization of the LM test that explicitly allows for different integration orders for each variate is also introduced. The finite sample properties of the LM test are evaluated and compared to the Breitung & Hassler (2002) test by Monte Carlo experiments. An application to multivariate time series of real interest rates for six countries is offered, demonstrating that more clear-cut evidence can be drawn from multivariate tests compared to conducting several univariate tests.
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Asymptotic Local Power; Efficient Test; Fractional Integration; Lagrange Multiplier Test; Multivariate Fractional Unit Root; Nonstationarity;
Other versions of this item:
- Morten �rregaard Nielsen, 2005. "Multivariate Lagrange Multiplier Tests for Fractional Integration," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 3(3), pages 372-398.
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2004-03-28 (All new papers)
- NEP-ECM-2004-03-28 (Econometrics)
- NEP-ETS-2004-03-28 (Econometric Time Series)
- NEP-RMG-2004-03-28 (Risk Management)
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