Integration of emerging stock markets with global stock markets

Financial integration for emerging economies should be seen as a long-term objective. In this paper, we examine stock market integration among five selected emerging stock markets (Brazil, China, Mexico, Russia and Turkey) and developed markets of the US, UK and Germany. The bounds testing approach to cointegration and error-correction modeling are used on monthly data from January 2001 to December 2014 to determine the short-run and long-run relationship between emerging stock market returns and the returns of the developed stock markets. The results show evidence of the existence of short-run integration among stock markets in emerging countries and the developed markets. However, the long-run coefficients for stock market returns in all emerging countries show a significant relationship only with Germany stock market return. The empirical findings in this study have important implications for academicians, international investors, and policymakers in emerging markets.     

On the stability of long-run relationships between emerging and US stock markets

While most studies have found no cointegration between emerging and US stock markets, some recent studies do find a long-run relationship exists between these markets. In view of these mixed findings, this study examines the stability of long-run relationships between a number of emerging stock markets and the US stock market using recursive cointegration analysis. The results show that no long-run relationship exists between emerging markets and the US market over most of the sample period throughout 1997. However, we do find clear evidence of cointegration in response to the recent global emerging market crisis in 1997–1998. We conclude that significant crisis events can change the degree of cointegration between international stock markets and, therefore, need to be taken into account in studies of long-run relationships between international stock markets.     

Dynamic linkages between emerging European and developed stock markets: Has the EMU any impact?

This paper investigates the short- and long-run behavior of major emerging Central European (Poland, Czech Republic, Hungary, Slovakia), and developed (Germany, US) stock markets and assesses the impact of the EMU on stock market linkages. Evidence of one cointegration vector in both a pre- and a post-EMU sub-period indicates market comovements towards a stationary long-run equilibrium path. Central European markets tend to display stronger linkages with their mature counterparts, whereas the US market holds a world leading influential role. No dramatic post-EMU shock is detected in stock market dynamics. The empirical findings have important implications for the effectiveness of domestic policy decisions, as the emerging Central European states have recently joined the EU and local stock markets may become less immunized to external shocks.     

Short-run disequilibrium adjustment and long-run equilibrium in the international stock markets: A network-based approach

In this paper, we propose a network-based analytical framework that exploits cointegration and the error correction model to systematically investigate the directions and intensities in terms of the short-run disequilibrium adjustment towards long-run equilibrium affecting the international stock markets during the period of 5 January 2007 to 30 June 2017. Under this setting, we investigate whether and how the cross-border directional interconnectedness within the world’s 23 developed and 23 emerging stock markets altered during the entire period of 2007–2017, and two specific periods of 2007–2009 Global Financial Crisis and 2010–2012 European Sovereign Debt Crisis. The main results indicate that the magnitude of the short-run disequilibrium adjustment towards long-run equilibrium for individual stock markets is not homogeneous over different time scales. We report that the changes in directional interconnectedness within stock markets worldwide did occur under the impact of the recent financial crises. The derived networks of stock markets interconnectedness allow us to visually characterize how specific stock markets from different regions form interconnected groups when exhibiting similar behaviours, which none the less provides significant information for strategic portfolio and risk management.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

Baltic stock markets and the financial crisis of 2008–2009

This study presents new evidence on stock market integration by investigating the linkages between developed European stock markets and emerging stock markets. We focus on three countries in the Baltic region, namely Estonia, Latvia and Lithuania with particular attention to the recent financial crisis of 2008–2009. The study is motivated by traditional stock market studies of integration, which show that developed stock markets are highly integrated, while emerging markets may be segmented. How integrated these emerging stock markets are in a crisis period with respect to the EUROSTOXX50 stock index is an empirical question investigated in this study. While the results of this study demonstrate that the Baltic stock markets were apparently segmented before the crisis, they were highly integrated during the crisis. The results of the variance decomposition analysis show that a large proportion of the forecast variance of the Baltic stock markets can be explained by the EUROSTOXX50 during the crisis. The results from the quantile regressions demonstrate that during the crisis the returns of the lowest quantile were most sensitive to the EUROSTOXX50 stock index. All these results imply less diversification benefits during crises when investors would need them the most.     

Monetary policy and stock prices – Cross-country evidence from cointegrated VAR models

This study applies the Cointegrated Vector-Autoregressive (CVAR) model to analyze the long-run relationships and short-run dynamics between stock markets and monetary policy across five developed and three emerging economies. Our main aim is to check whether monetary policy plays an important role for stock market developments. As an innovation, monetary policy enters the analysis from three angles: in the form of a broad monetary aggregate, short-term interest rates and net capital flows. Based on this framework, we analyze whether central banks are able to influence stock market developments. Our findings suggest different patterns and causalities for emerging and industrial economies with the stock markets of the former economies more frequently related to monetary aggregates and capital flows. A direct long-run impact from short-term interest rates on stock prices is only observed for 3 out of 8 economies.     

Stock Market Valuation,Foreign Investment,and Cross-Country Arbitrage

This study investigates the role of stock market valuation and cross-country arbitrage in shaping foreign direct and indirect investments, contingent upon a country's stage of development. This paper is built upon the mispricing-driven foreign investment hypotheses developed by Baker, Foley, and Wurgler (2009). Interesting findings emerge when developed and emerging markets are considered separately. Empirical evidence indicates that the use of relatively cheap financial capital for foreign investment is prominent among developed countries, but not so in emerging markets. This is largely due to the extremely low level of foreign investment outflows in emerging markets and the inability of unsophisticated emerging market managers to successfully time the market. Further investigation shows that host-country stock market valuation is an important determinant of the mode of foreign investment; investors tend to choose indirect or portfolio investment, as opposed to direct investment, when the stock market is perceived to be undervalued. This is especially the case in emerging markets, where there is more room for misvaluation and potential arbitrage. These findings suggest that the unique institutional features of the markets involved play an important role in shaping foreign investment and cross-country arbitrage.     

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.     

Los efectos de largo plazo de la asimetría y persistencia en la predicción de la volatilidad: evidencia para mercados accionarios de América Latina

This article proposes an extension to the CGARCH model in order to capture the characteristics of short-run and long-run asymmetry and persistence, and examine their effects in modeling and forecasting the conditional volatility of the stock markets from the region of Latin America during the period from 2 January 1992 to 31 December 2014. In the sample analysis, the estimation results of the CGARCH-class model family reveal the presence of short-run and long-run significant asymmetric effects and long-run persistency in the structure of stock price return volatility. The empirical results also show that the use of symmetric and asymmetric loss functions and the statistical test of Hansen (2005) are sound alternatives for evaluating the predictive ability of the asymmetric CGARCH models. In addition, the inclusion of long-run asymmetry and long-run persistency in the variance equation improves significantly the out of sample volatility forecasts for emerging stock markets of Argentina and Mexico.     

Long-term effects of the asymmetry and persistence of the prediction of volatility: Evidence for the equity markets of Latin America

This article proposes an extension to the CGARCH model in order to capture the characteristics of short-run and long-run asymmetry and persistence, and examine their effects in modeling and forecasting the conditional volatility of the stock markets from the region of Latin America during the period from 2 January 1992 to 31 December 2014. In the sample analysis, the estimation results of the CGARCH-class model family reveal the presence of short-run and long-run significant asymmetric effects and long-run persistency in the structure of stock price return volatility. The empirical results also show that the use of symmetric and asymmetric loss functions and the statistical test of Hansen (2005) are sound alternatives for evaluating the predictive ability of the asymmetric CGARCH models. In addition, the inclusion of long-run asymmetry and long-run persistency in the variance equation improves significantly the out of sample volatility forecasts for emerging stock markets of Argentina and Mexico.     

Modeling systemic risk and dependence structure between oil and stock markets using a variational mode decomposition-based copula method

This study combines the variational mode decomposition (VMD) method and static and time-varying symmetric and asymmetric copula functions to examine the dependence structure between crude oil prices and major regional developed stock markets (S&P500, stoxx600, DJPI and TSX indexes) during bear, normal and bull markets under different investment horizons. Furthermore, it analyzes the upside and downside short- and long-run risk spillovers between oil and stock markets by quantifying three market risk measures, namely the value at risk (VaR), conditional VaR (CoVaR) and the delta CoVaR (∆CoVaR). The results show that there is a tail dependence between oil and all stock markets for the raw return series. By considering time horizons, we show that there is an average dependence between the considered markets for the short-run horizons. However, the tail dependence is also found for the long-run horizons between the oil and stock markets, with the exception of the S&P500 index which exhibits average dependence with the oil market. Moreover, we find strong evidence of up and down risk asymmetric spillovers from oil to stock markets and vice versa in the short-and long run horizons. Finally, the market risk spillovers are asymmetric over the time and investment horizons.     

Speculative bubbles in emerging stock markets and macroeconomic factors: A new empirical evidence for Asia and Latin America

The purpose of this study is firstly to test for the existence of periodically collapsing stock price bubbles in Asian and Latin American emerging stock markets for the period 1990–2009. We use the new non-cointegration test developed by Taylor and Peel (1998) with the Residuals-Augmented Least Squares (RALS) method of Im (1996) and Im and Schmidt (2008) for monthly data of price indexes and dividends. The results show that the hypothesis of formation of bubbles cannot be rejected for all of the studied emerging stock markets. This evidence implies that the co-integration relation between the prices and the dividends is not always supported, indicating that the stock prices do not reflect their fundamental values in the emerging stock markets. We then link speculative bubbles with macroeconomic and financial factors, which is an interesting contribution of this study. The degree of equity market openness is found to be the key factor, positively related to the formation of speculative bubbles in these markets.     

International portfolio diversification: an ICAPM approach with currency risk

This article investigates international stock market integration in four major developed economies, namely the United States, the Economic and Monetary Union of the European Union, Japan and the United Kingdom, and two Asian emerging, countries namely China and India, over the period from June 1994 to June 2009. To model stock market integration we estimate a dynamic version of the international capital asset pricing model (CAPM) in the absence of purchasing power parity. Conditional variance is modelled via a multivariate GARCH specification. To investigate the evolution of integration overtime we estimate the CAPM in sub-periods. In addition, we connect our results to the timing of world financial crises. Our findings show that the stock markets tend to move in parallel after June of 2002, although from 2002 to 2006 there have not been crises events. These results support the increasing globalization and interdependence of both emerging and developed markets in the recent decade, reducing the benefits of portfolio diversification.     

Trading Activity and Financial Market Integration

We investigate the effect of trading activity in the Asian emerging markets on the market integration across Asian emerging and major developed markets over the sample period of 1997 to 2009. The empirical evidence confirms that higher trading activity in Asian emerging markets can induce these markets and developed markets to become more integrated. Furthermore, we identify the mediation effect of market volatility on Asian emerging markets. This effect demonstrates that trading activity in Asian emerging markets not only directly enhances market integration, but also intensifies market volatility, indirectly increasing market integration.     

Developed markets’ business cycle dynamics and time-variation in emerging markets’ asset returns

This paper empirically studies the predictability of emerging markets’ stock returns by business cycle variables and the role of developed markets’ business cycle dynamics in this respect. The evidence shows that the link between business cycles and future stock market returns among emerging markets is considerably weaker than among developed markets. By contrast, I find strong evidence of stock return predictability by the respective country’s dividend-price ratio. This latter finding could reflect that variation in dividend-price ratios potentially reflects both the temporary impact of “hot money” inflows on emerging markets’ asset prices and rational expectations of future returns.     

Financial liberalization and changes in the dynamic behaviour of emerging market volatility: Evidence from four Latin American equity markets

This paper examines whether the dynamic behaviour of stock market volatility for four Latin American stock markets (Argentina, Brazil, Chile and Mexico) and a mature stock market, that of the US, has changed during the last two decades. This period corresponds to years of significant financial and economic development in these emerging economies during which several financial crises have taken place. We use weekly data for the period January 1988 to July 2006 and we conduct our analysis in two parts. First, using the estimation of a Dynamic Conditional Correlation model we find that the short-term interdependencies between the Latin America stock markets and the developed stock market strengthened during the Asian, Latin American and Russian financial crises of 1997–1998. However, after the initial period of disturbance they eventually returned to almost their initial (relatively low) levels. Second, the estimation of a SWARCH-L model reveals the existence of more than one volatility regime and we detect a significant increased volatility during the period of crisis for all the markets under examination, although the capital flows liberalization process has only caused moderate shifts in volatility.     

Spillovers among sovereign CDS,stock and commodity markets: A correlation network perspective

In the wake of the globalization of financial markets, studying spillovers among different asset markets, especially spillovers that include sovereign CDS markets, is of vital importance. This paper attempts to build a spillover network to investigate the complex interactions within the system of sovereign CDS, stock and commodity markets by adopting the spillover index based on forecast error variance (FEV) decomposition. The results reveal that emerging countries have larger average spillovers than developed countries with regard to sovereign CDS-to-stock returns spillovers, while the developed countries contribute more average spillovers than the emerging countries in the opposite direction. Moreover, the sovereign CDS market and the commodity market still demonstrate a relatively important role during certain periods although stock markets always occupy the dominant position during every phase. Our findings provide new insights into spillovers among the major global asset markets using a network perspective, which is valuable for regulation of financial markets, asset allocation and portfolio risk management.     

Mean–variance convergence around the world

In this paper, we show (i) that the risk-return characteristics of our sample of 17 developed stock markets of the world have converged significantly toward each other during our study period 1974–2007, and (ii) that this international convergence in risk-return characteristics is driven mainly by the declining ‘country effect’, rather than the rising ‘industry effect’, suggesting that the convergence is associated with international market integration. Specifically, we first compute the risk-return distance among international stock markets based on the Euclidean distance and find that the distance thus computed has been decreasing significantly over time, implying a mean–variance convergence. In particular, the average risk-return distance has decreased by about 50% over our sample period. We also document that the risk-return characteristics of our sample of 14 emerging markets have been converging rapidly toward those of developed markets in recent years. This development notwithstanding, emerging markets still remain as a distinct asset class. Lastly, we show that the convergence in risk-return characteristics has exerted a negative impact on the efficiency of international investment during our sample period.     

The dynamics of privatization, the legal environment and stock market development

In this paper, we examine under which conditions privatization is an effective means to develop local stock markets for a panel of 61 countries over the last twenty four years. By addressing the endogeneity between privatization and stock market development, we show for the 1980-98 period that the initial legal environment is a significant contemporary determinant of stock market development, while privatization is not. When we examine the dynamics of privatization in interaction with the legal environment, we find that privatization has a two-year-lagged effect on stock market development in emerging markets, and a one-year-lagged effect in developed countries. Results for the 1999-2003 period seem to be largely affected by the global crash that followed the Asian crisis.