Business confidence and stock returns in the USA: a time-varying Markov regime-switching model
This article presents evidence in favour of time-varying Markov regime-Switching (MS) properties in all shares stock returns in the USA. The model specifications include the US Institute for Supply Management's (ISM) manufacturing and Nonmanufacturing Business Activity Index (NMBAI) in the transition equations. We find that the developments in the ISM manufacturing index affect the regime-switching probabilities in both bull and bear stock market periods. The business activity in nonmanufacturing sectors, on the other hand, has a bearing only on bull market periods. We also test for the possibility of a common factor influencing both stock returns and business confidence in the manufacturing sector by estimating a time-varying MS model with the US industrial production in the transition equation. We find that the null hypothesis of a fixed transition probability MS model cannot be rejected when the US industrial production index is included in the transition equation of a time-varying MS model. We conclude that the information content in the ISM manufacturing confidence index, such as expectational shifts, has a separate influence on the stock market regimes over and above that of actual developments in industrial production.
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Volume (Year): 22 (2012)
Issue (Month): 4 (February)
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- Ming-Yuan Leon Li, 2007. "Volatility states and international diversification of international stock markets," Applied Economics, Taylor & Francis Journals, vol. 39(14), pages 1867-1876.
- Nikkinen, Jussi & Omran, Mohammed & Sahlstrom, Petri & Aijo, Janne, 2006. "Global stock market reactions to scheduled U.S. macroeconomic news announcements," Global Finance Journal, Elsevier, vol. 17(1), pages 92-104, September.
- Ali Al-Eyd & Ray Barrell & E. Philip Davis, 2009.
"Consumer Confidence Indices And Short-Term Forecasting Of Consumption,"
University of Manchester, vol. 77(1), pages 96-111, 01.
- Ray Barrell & Professor E. Philip Davis, 2008. "Consumer confidence indices and short-term forecasting of consumption," NIESR Discussion Papers 304, National Institute of Economic and Social Research.
- Turner, Christopher M. & Startz, Richard & Nelson, Charles R., 1989.
"A Markov model of heteroskedasticity, risk, and learning in the stock market,"
Journal of Financial Economics,
Elsevier, vol. 25(1), pages 3-22, November.
- Christopher M. Turner & Richard Startz & Charles R. Nelson, 1989. "A Markov Model of Heteroskedasticity, Risk, and Learning in the Stock Market," NBER Working Papers 2818, National Bureau of Economic Research, Inc.
- Simpson, Marc W. & Ramchander, Sanjay & Chaudhry, Mukesh, 2005. "The impact of macroeconomic surprises on spot and forward foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 24(5), pages 693-718, September.
- Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
- Schwert, G William, 1989.
" Why Does Stock Market Volatility Change over Time?,"
Journal of Finance,
American Finance Association, vol. 44(5), pages 1115-53, December.
- G. William Schwert, 1988. "Why Does Stock Market Volatility Change Over Time?," NBER Working Papers 2798, National Bureau of Economic Research, Inc.
- Massimo Guidolin & Allan Timmermann, 2005. "Economic Implications of Bull and Bear Regimes in UK Stock and Bond Returns," Economic Journal, Royal Economic Society, vol. 115(500), pages 111-143, 01.
- Stern, Andrew, 2001. "Multiple regimes in the US inventory time-series: A disaggregate analysis," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 45-53, May.
- Ming-Yuan Leon Li & Hsiou-wei William Lin, 2004. "Estimating value-at-risk via Markov switching ARCH models - an empirical study on stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 679-691.
- Turner, C.M. & Startz, R. & Nelson, C.R., 1989.
"The Markov Model Of Heteroskedasticity, Risk And Learning In The Stock Market,"
Discussion Papers in Economics at the University of Washington
89-01, Department of Economics at the University of Washington.
- Turner, C.M. & Startz, R. & Nelson, C.R., 1989. "The Markov Model Of Heteroskedasticity, Risk And Learning In The Stock Market," Working Papers 89-01, University of Washington, Department of Economics.
- Gelper, Sarah & Croux, Christophe, 2007. "Multivariate out-of-sample tests for Granger causality," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3319-3329, April.
- Maheu, John M & McCurdy, Thomas H, 2000. "Identifying Bull and Bear Markets in Stock Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 100-112, January.
- Lilia Karnizova & Hashmat Khan, 2010.
"The Stock Market and the Consumer Confidence Channel in Canada,"
1004E, University of Ottawa, Department of Economics.
- Lilia Karnizova & Hashmat Khan, 2010. "The Stock Market and the Consumer Confidence Channel in Canada," Carleton Economic Papers 10-08, Carleton University, Department of Economics, revised 26 Aug 2011.
- Schmeling, Maik, 2009.
"Investor sentiment and stock returns: Some international evidence,"
Journal of Empirical Finance,
Elsevier, vol. 16(3), pages 394-408, June.
- Schmeling, Maik, 2008. "Investor sentiment and stock returns: Some international evidence," Hannover Economic Papers (HEP) dp-407, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Douglas Lamdin, 2008. "Does Consumer Sentiment Foretell Revolving Credit Use?," Journal of Family and Economic Issues, Springer, vol. 29(2), pages 279-288, June.
- Dieter Hess & He Huang & Alexandra Niessen, 2008. "How do commodity futures respond to macroeconomic news?," Financial Markets and Portfolio Management, Springer, vol. 22(2), pages 127-146, June.
- Qiao, Zhuo & McAleer, Michael & Wong, Wing-Keung, 2009. "Linear and nonlinear causality between changes in consumption and consumer attitudes," Economics Letters, Elsevier, vol. 102(3), pages 161-164, March.
- Kurov, Alexander, 2010. "Investor sentiment and the stock market's reaction to monetary policy," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 139-149, January.
- Verma, Rahul & Verma, Priti, 2007. "Noise trading and stock market volatility," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 231-243, July.
- Hamilton, James D. & Susmel, Raul, 1994.
"Autoregressive conditional heteroskedasticity and changes in regime,"
Journal of Econometrics,
Elsevier, vol. 64(1-2), pages 307-333.
- Tom Doan, . "RATS programs to estimate Hamilton-Susmel Markov Switching ARCH model," Statistical Software Components RTZ00083, Boston College Department of Economics.
- Verma, Rahul & Soydemir, Gökçe, 2009. "The impact of individual and institutional investor sentiment on the market price of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1129-1145, August.
- Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
- Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
- Hess, Dieter E. & Huang, He & Niessen-Ruenzi, Alexandra, 2008. "How do commodity futures respond to macroeconomic news?," CFR Working Papers 08-03, University of Cologne, Centre for Financial Research (CFR).
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