Testing For Linear And Non-Linear Granger Non-Causality Hypothesis Between Stock And Bond: The Cases Of Malaysia And Singapore
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DOI: 10.1142/S0217590814500453
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References listed on IDEAS
- Péguin-Feissolle, Anne & Strikholm, Birgit & Teräsvirta, Timo, 2007.
"Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form,"
SSE/EFI Working Paper Series in Economics and Finance
672, Stockholm School of Economics, revised 18 Jan 2012.
- Anne Peguin-Feissolle & Birgit Strikholm & Timo Teräsvirta, 2013. "Testing the Granger Noncausality Hypothesis in Stationary Nonlinear Models of Unknown Functional Form," Post-Print hal-01500895, HAL.
- Anne Péguin-Feissolle & Birgit Strikholm & Timo Teräsvirta, 2008. "Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form," CREATES Research Papers 2008-19, Department of Economics and Business Economics, Aarhus University.
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Cited by:
- Borjigin, Sumuya & Yang, Yating & Yang, Xiaoguang & Sun, Leilei, 2018. "Econometric testing on linear and nonlinear dynamic relation between stock prices and macroeconomy in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 107-115.
- Muhammad Hanif & Ariba Sabah, 2020. "Stock Markets’ Integration in Post Financial Crisis Era: Evidence from Literature," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 43-71.
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More about this item
Keywords
Stock and bond; linear; non-linear; causality; Taylor series approximation; C12; C22; G10;All these keywords.
JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
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