Generalized variance-ratio tests for serial correlation in multivariate regression models
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Cited by:
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014.
"Multivariate variance ratio statistics,"
CeMMAP working papers
CWP29/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014. "Multivariate Variance Ratio Statistics," Cambridge Working Papers in Economics 1459, Faculty of Economics, University of Cambridge.
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2014. "Multivariate variance ratio statistics," CeMMAP working papers 29/14, Institute for Fiscal Studies.
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2015. "An investigation into multivariate variance ratio statistics and their application to stock market predictability," CeMMAP working papers 13/15, Institute for Fiscal Studies.
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2015.
"An investigation into Multivariate Variance Ratio Statistics and their application to Stock Market Predictability,"
Cambridge Working Papers in Economics
1552, Faculty of Economics, University of Cambridge.
- Seok Young Hong & Oliver Linton & Hui Jun Zhang, 2015. "An investigation into multivariate variance ratio statistics and their application to stock market predictability," CeMMAP working papers CWP13/15, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
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