Do the Chinese Bourses (Stock Markets) Predict Economic Growth?
AbstractWe study the relationship between the Chinese macroeconomy and the Chinese stock markets, i.e., the bourses in Shanghai and Shenzhen. With this goal, we utilize multiple Granger causality and Geweke linear dependence and examine likelihood ratio statistics between two sectors of the Chinese economy: the Chinese economic prosperity score (EPS)¡Xand its departure from a "healthy level" (EPS-D)¡Xand composite indexes for Chinese securities markets¡XShanghai composite (SH) and Shenzhen composite (SZ). The data cover nine years. The authors found no evidence that SH and SZ Granger cause economic prosperity. The evidence supports the notions that Chinese stock markets respond greater to changes in EPS-D than to EPS and that the SZ is more sensitive to changes in the economy than the SH.
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Bibliographic InfoArticle provided by College of Business, and College of Finance, Feng Chia University, Taichung, Taiwan in its journal International Journal of Business and Economics.
Volume (Year): 8 (2009)
Issue (Month): 3 (December)
Granger causality; Geweke linear dependence; likelihood ratio tests; vector autoregression;
Find related papers by JEL classification:
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
- F21 - International Economics - - International Factor Movements and International Business - - - International Investment; Long-Term Capital Movements
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- Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006.
"Short run and long run causality in time series: inference,"
Journal of Econometrics,
Elsevier, vol. 132(2), pages 337-362, June.
- DUFOUR, Jean-Marie & PELLETIER, Denis & RENAULT, Éric, 2003. "Short Run and Long Run Causality in Time Series : Inference," Cahiers de recherche 14-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Jean-Marie Dufour & Denis Pelletier & Éric Renault, 2003. "Short Run and Long Run Causality in Time Series: Inference," CIRANO Working Papers 2003s-61, CIRANO.
- DUFOUR, Jean-Marie & PELLETIER, Denis & RENAULT, Éric, 2003. "Short run and long run causality in time series: Inference," Cahiers de recherche 2003-16, Universite de Montreal, Departement de sciences economiques.
- Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-38, July.
- Su, Dongwei & Fleisher, Belton M., 1999.
"Why does return volatility differ in Chinese stock markets?,"
Pacific-Basin Finance Journal,
Elsevier, vol. 7(5), pages 557-586, December.
- Belton Fleisher & Dongwei Su, 1998. "Why Does Return Volatility Differ in Chinese Stock Markets?," Working Papers 98-03, Ohio State University, Department of Economics.
- Xia Pan, 2007. "The Linear Dependence And Feedback Spectra Between Stock Market And Economy," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 10(03), pages 437-447.
- Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
- Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-617, December.
- Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
- Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February.
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