Do global sentiment shocks spillover towards emerging and frontier markets?

作者: Mobeen Ur Rehman , Nicholas Apergis

DOI: 10.1108/JES-12-2018-0418

关键词: Stock (geology)Spillover effectEquity (finance)EconometricsStock marketDeveloped marketEconomicsMarkov chainFrontier marketsLinear modelGeneral Economics, Econometrics and Finance

摘要: PurposeThis study aims to investigate the impact of sentiment shocks based on US investor sentiments, bearish and bullish market conditions. Earlier studies, though very few, only consider the effect of investor sentiments on stock returns of emerging frontier Asian (EFA) markets.Design/methodology/approachThis study uses the application of regime switching model because of its capability to explore time-varying causality across different regimes unlike traditional linear models. The Markov regime switching model uses regime switching probabilities for capturing the potential asymmetries or non-linearity in a model, in this study’s case, thereby adjusting investor sentiments shocks to stock market returns.FindingsThe results of the Markov regime switching method suggests that US sentiment, bullish and bearish market shocks act as a main contributors for inducing variation in EFA stock market returns. The study’s non-parametric robustness results highlight an asymmetric relationship across the mean series, whereas a symmetric relationship across variance series. The study also reports Thailand as the most sensitive market to global sentiment shocks.Research limitations/implicationsThe sensitivity of the EFA markets to these global sentiment shocks highlights their sensitivity and implications for investors relying merely on returns correlation and spillover. These findings also suggest that spillover from developed to emerging and frontier equity markets only in the form of returns following traditional linear models may not be appropriate.Practical implicationsThis paper supports the behavioral aspect of investors and resultant spillover from developed market sentiments to emerging and frontier market returns across international equity markets offering more rational justification for an irrational behavior.Originality/valueThe study’s motivation to use the application of regime switching models is because of its capability to explore time-varying causality across different regimes unlike traditional linear models. The Markov regime switching model uses regime switching probabilities for capturing the potential asymmetries or non-linearity in a model, in the study’s case, thereby adjusting investor sentiments shocks to stock market returns. It is also useful of the adjustment attributable to exogenous events.

参考文章(61)
W. A. Broock, J. A. Scheinkman, W. D. Dechert, B. LeBaron, A test for independence based on the correlation dimension Econometric Reviews. ,vol. 15, pp. 197- 235 ,(1996) , 10.1080/07474939608800353
Denis Kwiatkowski, Peter C.B. Phillips, Peter Schmidt, Yongcheol Shin, Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics. ,vol. 54, pp. 159- 178 ,(1992) , 10.1016/0304-4076(92)90104-Y
Richard E. Quandt, A New Approach to Estimating Switching Regressions Journal of the American Statistical Association. ,vol. 67, pp. 306- 310 ,(1972) , 10.1080/01621459.1972.10482378
Mehmet Balcilar, Zeynel Abidin Ozdemir, The causal nexus between oil prices and equity market in the U.S.: A regime switching model Energy Economics. ,vol. 39, pp. 271- 282 ,(2013) , 10.1016/J.ENECO.2013.04.014
Jung-Suk Yu, M. Kabir Hassan, Global and regional integration of the Middle East and North African (MENA) stock markets The Quarterly Review of Economics and Finance. ,vol. 48, pp. 482- 504 ,(2008) , 10.1016/J.QREF.2006.06.003
Lutz Kilian, Cheolbeom Park, THE IMPACT OF OIL PRICE SHOCKS ON THE U.S. STOCK MARKET International Economic Review. ,vol. 50, pp. 1267- 1287 ,(2009) , 10.1111/J.1468-2354.2009.00568.X
Donald B. Keim, Robert F. Stambaugh, Predicting returns in the stock and bond markets Journal of Financial Economics. ,vol. 17, pp. 357- 390 ,(1986) , 10.1016/0304-405X(86)90070-X
Hong Li, Ewa Majerowska, Testing stock market linkages for Poland and Hungary: A multivariate GARCH approach Research in International Business and Finance. ,vol. 22, pp. 247- 266 ,(2008) , 10.1016/J.RIBAF.2007.06.001
Dimitris Kenourgios, Aristeidis Samitas, Nikos Paltalidis, Financial crises and stock market contagion in a multivariate time-varying asymmetric framework Journal of International Financial Markets, Institutions and Money. ,vol. 21, pp. 92- 106 ,(2011) , 10.1016/J.INTFIN.2010.08.005
XIN CHANG, SUDIPTO DASGUPTA, Target Behavior and Financing: How Conclusive Is the Evidence? Journal of Finance. ,vol. 64, pp. 1767- 1796 ,(2009) , 10.1111/J.1540-6261.2009.01479.X