On the volatility spillover between lslamic and conventional stock markets: A quantile regression analysis

This paper aims at analyzing the degree and structure of interdependencies in terms of volatility (transmission, contagion) between Islamic and conventional stock markets on calm periods and at times of financial fragility and crisis. We focused on the recent financial instability periods and used the Quantile Regression-based GARCH model. Main results lead to very interesting conclusions. First, it has been found that Islamic stock markets are not totally immune to the global financial crisis. Second, a very strong interdependence is sensed from the conventional to the Islamic stock markets, especially, from the conventional developed markets to the Islamic Emerging and Arab markets and to the Islamic developed markets. Finally, it has been proved that the interdependencies from conventional to Islamic markets are propagated between Islamic markets. Our findings suggest that the Islamic finance industry does not seem able to provide cushion against economic and financial shocks that affect conventional markets.     

Equity market integration in Central European emerging markets: A cointegration analysis with shifting regimes

We investigate the existence of long-run relations between emerging Central European stock markets and the mature stock markets of Europe and the United States. Allowing for instability in these long-run relations, we obtain evidence of links between the Central European markets that is stronger than has previously been reported. We also show that the Central European markets display equilibrium relations with their mature counterparts, which persist after controlling for structural changes. It follows that Central European markets have become more integrated with global markets.     

Pacific Basin stock markets and international capital asset pricing

In this paper, we follow Harvey (1991) to investigate whether rates of return on Pacific Basin stock markets can be explained by conditional version of International Capital Asset Pricing Model (ICAPM), which allows for time-varying expected returns, variances, and covariances. The results show that most individual Pacific Basin markets can be described by the conditional ICAPM. However, the multiple markets' tests do not support the conditional ICAPM formulation, and the estimates of world reward to risk ratio are not the same across these markets. Furthermore, the Ghysels and Hall test (Ghysels & Hall, 1990a, 1990b) shows that the estimates of parameter are also unstable in the conditional ICAPM formulation. This implies that it is difficult to use world return to describe the relationship between expected return and risk for the Pacific Basin stock markets.     

Economic interdependence and common stochastic trends: A comparative analysis between EMU and non-EMU stock markets

Whether economic interdependence among countries is a contributing factor to cointegration and common stochastic trends in international stock markets is indiscernible due to contradictory results from prior empirical work. This study aims to add clarity to this issue through a more distinct grouping of countries and methodological enhancements. A comparative analysis of cointegration is conducted between stock market price indices of major Economic and Monetary Union (EMU) and non-EMU countries. The conventional Johansen methodology is augmented with several diagnostic techniques (that have not been all inclusive in previous studies) to ensure the robustness of test results. Major findings pertinent to investors and policymakers are that economic interdependence appears to be the important contributing factor and that the U.S. stock market does not exert influences on long-run performances of other included stock markets. Furthermore, while the UK is not an EMU member, it may be viewed as a quasi EMU participant due to its stock market being cointegrated with and yet one of the common stochastic trends (besides those of Germany, Italy, and the Netherlands) within the EMU stock markets under investigation.     

Price discovery and volatility spillovers in index futures markets: Some evidence from Mexico

This paper investigates the hypotheses that the recently established Mexican stock index futures market effectively serves the price discovery function, and that the introduction of futures trading has provoked volatility in the underlying spot market. We test both hypotheses simultaneously with daily data from Mexico in the context of a modified EGARCH model that also incorporates possible cointegration between the futures and spot markets. The evidence supports both hypotheses, suggesting that the futures market in Mexico is a useful price discovery vehicle, although futures trading has also been a source of instability for the spot market. Several managerial implications are derived and discussed.     

Contagion in international financial markets: A recursive cointegration approach

This study utilizes the recursive cointegration technique to analyze the dynamic interdependence among ten major equity markets throughout North America, Europe, Latin America and Asia. Results indicate that the international equity markets are integrated and that the degree of integration among these markets has increased over time. A scrutiny of the various crisis periods reveals that a major financial crisis had an effect of increasing the level of convergence among these markets. Moreover, the recursive cointegration technique is able to pinpoint and capture the approximate timing of a major global crisis. In addition, the study finds that the U.S., Japan, India, China, U.K., and Germany lead the other markets with the U.S. contributing most heavily to the common trend. Overall, the results indicate that profitable opportunities from portfolio diversification are limited across major markets and that these benefits are further reduced during episodes that are marked by a global financial turmoil.     

From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions

We study if government response to the novel coronavirus COVID-19 pandemic can mitigate investor herding behaviour in international stock markets. Our empirical analysis is informed by daily stock market data from 72 countries from both developed and emerging economies in the first quarter of 2020. The government response to the COVID-19 outbreak is measured by means of the Oxford COVID-19 Government Response Tracker, where higher scores are associated with greater stringency. Three main findings are in order. First, results show evidence of investor herding in international stock markets. Second, we document that the Oxford Government Response Stringency Index mitigates investor herding behaviour, by way of reducing multidimensional uncertainty. Third, short-selling restrictions, temporarily imposed by the national and supranational regulatory authorities of the European Union, appear to exert a mitigating effect on herding. Finally, our results are robust to a range of model specifications.     

Not all emerging markets are the same: A classification approach with correlation based networks

Using dynamic conditional correlations and network theory, this study brings a novel interdisciplinary framework to define the integration and segmentation of emerging countries. The individual EMBI+ spreads of 13 emerging countries from January 2003 to December 2013 are used to compare their interaction structure before (phase 1) and after (phase 2) the global financial crisis. Accordingly, the unweighted average of dynamic conditional correlations between cross country bond returns significantly increases in phase 2. At first glance, the increased co-movement degree suggests an integration of the sample countries after the crisis. However, using correlation based stable networks, we show that this is not enough to make such a strong conclusion. In particular, we reveal that the increased average correlation is more likely to be caused by clusters of countries that exhibit high within-cluster co-movement but not between-cluster co-movement. Potential reasons for the post-crisis segmentation and important implications for international investors and policymakers are discussed.     

Long-run equilibrium, short-term adjustment, and spillover effects across Chinese segmented stock markets and the Hong Kong stock market

This paper adopts a novel FIVECM-BEKK GARCH approach to examine the bilateral relationships among the A-share and B-share stock markets in China and the Hong Kong stock market. The evidence shows that these stock markets are fractionally cointegrated. Analyses of the spillover effects across these markets indicate that the A-share markets are most influential. The relaxation of government restrictions on the purchase of B shares by domestic residents accelerates the market integration process of A-share markets with the B-share and Hong Kong markets. The effects of the Asian crisis on the stock-return dynamic correlations vary across these markets.     

Detecting signed spillovers in global financial markets: A Markov-switching approach

We examine the dynamics of the signed-spillover across financial markets using historical decomposition approach. By incorporating Markov-switching framework into the VAR model, this paper assesses the dynamics of signed-spillover during turbulent periods and period of tranquillity. Additionally, this approach enables us to detect the source and direction of the spillover and identify its signs. We show that this approach outperforms the classical single-regime spillover estimation by distinguishing shocks under different economic conditions. Specifically, we assess spillovers in global financial markets using realised variance between January 1999 and December 2017. Our empirical findings clearly indicate that spillovers are intense during period of turbulence and moderate during periods of tranquillity.     

A multilateral approach to examining the comovements among major world equity markets

This study investigates the comovement in stock indices among major developed markets, where Morgan Stanley Capital International (MSCI) indices are employed for the purposes of the study. We employ a model that accommodates multilateral international impacts on equity index movements. The empirical results reveal the existence of significant international transmission effects among these major world markets, both in terms of returns and volatility, and mostly in a positive direction. The U.S. market, as expected, is the leading market in the sense that it has the most pervasive and significant impact on all markets across continents. However, the U.S. market exhibits a different relationship with European markets from that with Asia-Pacific markets. The evidence also suggests that strong regional transmission effects exist. A further investigation using the extended model reveals that the linkages between U.S. and European markets are driven by positive global common forces and by negative international competitive effects. On the other hand, the U.S. and Asian markets are linked through positive global common forces and positive international contagion effects. The United States, Canada, and the U.K. are the three markets that still demonstrate contagion influence over countries outside its own region. The Asia-Pacific markets are more susceptible to contagion effects. Finally, it is interesting to find that Japanese market performance became more contagious toward other markets during the Asian financial crisis period.     

Global financial crisis and emerging stock market contagion: A volatility impulse response function approach

By employing the volatility impulse response (VIRF) approach, this paper presents a general framework for addressing the extent of contagion effects between the BRICSs’ and U.S. stock markets and how the BRICSs’ stock markets have been influenced in the context of the 2007–2009 global financial crisis. Our empirical results show during the period of 2007–2009 global financial crisis, there are significant contagion effects from the U.S. to the BRICSs’ stock markets. Yet, the degree of stock market reactions to such shocks differs from one market to another, depending on the level of integration with the international economy. Besides, the strengthened degree of stock market integration among the U.S. and BRICS has adverse effect such that if the 2007–2009 global financial crisis occurs today it may result in heavier impact on stock market volatility nowadays compared to the crisis-era.     

Further evidence on the efficiency of the Chinese stock markets: A note

This paper examines the efficiency of the Chinese A-share and B-share markets following the deregulation of the B-share market which widened ownership to include domestic investors. Applying parametric and non-parametric variance ratio tests to the daily data of 370 shares over 1996–2005, the paper finds that A-shares are more efficient than B-shares, although the efficiency of both markets has improved following the regulatory change. Overall, the results suggest that the Chinese stock markets are characterised by information asymmetry, although the timely access to high quality information that domestic investors enjoy has improved the efficiency of the B-share market.     

中国金融结构与产业结构关系研究

以我国1978～2011年金融结构与产业结构的关系作为研究对象,利用单位根检验、协整关系检验、误差修正模型以及格兰杰因果关系检验等方法,在理论分析的基础上,进行了模型的构造,找出二者之间的长期与短期关系。通过分析发现,二者互为因果,且存在稳定关系。但目前我国两种结构上还存在着滞后经济发展的问题,需要进行结构优化。     

Modelling long run comovements in equity markets: A flexible approach

International equity markets linkages are characterized by nonlinear dependence and asymmetries. We investigate shifts in long run comovements in stock markets by means of an ‘interrupted’ Markov switching cointegration specification. This flexible approach allow us to study to what extent documented changes in global integration are permanent, or whether market linkages are subject to changes. Using an illustrative sample from 1980 to 2012 for USA, UK and Hong Kong stock price indices, we find evidence of interrupted cointegration across these markets between May 1997 and April 2002, which is consistent with the decoupling of stock prices from fundamentals during the dot-com bubble.     

Is asymmetric mean-reverting pattern in stock returns systematic? Evidence from Pacific-basin markets in the short-horizon

This paper applies asymmetric nonlinear smooth transition generalized autoregressive conditional heteroskedasticity (ANST-GARCH) models to the analysis of mean-reversion and time-varying volatility in weekly index returns of the stock markets of nine countries in the Pacific-basin. It finds that the returns exhibit an asymmetric pattern of return reversals, viz., on average, a negative return reverts more quickly, with a greater magnitude, to a positive return than a positive return reverting to a negative one. The asymmetric pattern of return reversals is directly associated with the unequal pricing behavior on the part of investors. Following a negative return shock, investors do not appear to require any additional premium to the leverage effect; instead they actually neutralize the risk in the form of a reduced premium! The reduction in risk premium causes not only the current stock price to rise but also the realized negative return to revert faster with a greater magnitude.     

Impact of corporate performance on stock price predictions in the UAE markets: Neuro-fuzzy model

Predicting stock price remains one of the challenges for investors' investment strategies. This study helps with accurate prediction and the main factors affecting variations in stock prices. It applies an adaptive neuro-fuzzy model on 58 listed firms from both the Abu Dhabi Securities Exchange and the Dubai Financial Market for the period 2014–2018 to estimate the predictive power of corporate performance measures and their significance. After examining four performance predictors—return on asset (ROA), return on equity (ROE), earning per share (EPS), and profit margin (PM)—the study finds that ROE is the most significant predictor and ROA is the least. EPS is the most influential profitability measure and PM the least.     

COVID-19 and stock returns: Evidence from the Markov switching dependence approach

This paper aims to investigate the regime-switching and time-varying dependence between the COVID-19 pandemic and the US stock markets using a Markov-switching framework. It makes two contributions to the empirical literature by showing that: (a) the variations of the daily reported COVID-19 cases and cumulative COVID-19 deaths induced asymmetric lower (left) and upper (right) tail dependence with the stock markets, and its left and right tail dependence exhibited significant time-varying trends; and (b) the left and right tail dependence between the stock markets and the pandemic exhibited significant regime-switching behaviours, with its switching probabilities in the higher tail dependence stage all being greater than in the lower tail dependence stage after 1 December 2019. Moreover, given that there is concurrent but significant financial market reaction to any unexpected emergence of a transmittable respirational disease or a natural calamity, the outcomes have some vital implications to market players and policymakers.