Are Correlations Constant Over Time? Application of the CC-TRIGt-test to Return Series from Different Asset Classes
A new test for constant correlation is proposed. Based on the bivariate Student-t distribution, this test is derived as Lagrange multiplier (LM) test. Whereas most of the traditional tests (e.g. Jennrich, 1970, Tang, 1995 and Goetzmann, Li & Rouwenhorst, 2005) specify the unknown correlations as piecewise constant, our model-setup for the correlation coefficient is based on trigonometric functions. Applying this test to assets from different financial markets (stocks, exchange rates, metals) there is empirical evidence that many of the correlations vary over time.
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- William N. Goetzmann & Lingfeng Li & K. Geert Rouwenhorst, 2001.
"Long-Term Global Market Correlations,"
NBER Working Papers
8612, National Bureau of Economic Research, Inc.
- William N.Goetzmann & Lingfeng Li & K.Geert Rouwenhorst, 2003. "Long-Term Global Market Correlations," DNB Staff Reports (discontinued) 98, Netherlands Central Bank.
- William Goetzmann & Lingfeng Li & K. Rouwenhorst, 2001. "Long-Term Global Market Correlations," Yale School of Management Working Papers ysm237, Yale School of Management, revised 01 Jan 2008.
- Kjersti Aas & Ingrid Hobaek Haff, 2006. "The Generalized Hyperbolic Skew Student's t-Distribution," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 4(2), pages 275-309.
- Kaplanis, Evi C., 1988. "Stability and forecasting of the comovement measures of international stock market returns," Journal of International Money and Finance, Elsevier, vol. 7(1), pages 63-75, March.
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