Modelling return and conditional volatility exposures in global stock markets

This article empirically investigates the exposure of country-level conditional stock return volatilities to conditional global stock return volatility. It provides evidence that conditional stock market return volatilities have a contemporaneous association with global return volatilities. While all the countries included in the study exhibited a significant and positive relationship to global volatility, emerging market volatility exposures were considerably higher than developed market exposures. JEL Classification G12     

Time varying integration of European stock markets and monetary drivers

This study analyzes time-varying integration of stock markets among fourteen European countries and its monetary drivers relevant to the two contrasting events — the introduction of Euro in 1999 and banking crisis of GIIPS in 2011. Our panel analysis reports evidence that monetary performance convergence, lower differentials in interest rates and inflation among EU countries, has been a key driver for the increase in integration of EU stock markets post EMU. Our qualitative analysis indicates that post EMU, the GDP differences among the EU countries have reverse relations with monetary performance convergence. This finding is in line with those of our quantitative study with a price-based indicator for integration.     

Determinants of financial stress in emerging market economies

The global financial crisis of 2008–2009 illustrates how financial turmoil in advanced economies could trigger severe financial stress in emerging markets. Previous studies dealing with financial crises and contagion show the linkages through which financial stress are transmitted from advanced to emerging markets. This paper extends the existing literature on the use of financial stress index (FSI) in understanding the channels of financial transmission in emerging market economies. Using FSI of 25 emerging markets, our panel regression estimates show that not only advanced economies FSI, but also regional and nonregional emerging market FSIs significantly increase domestic financial stress. Our findings also suggest that there is a common regional factor significantly affecting domestic FSI in emerging Asia and emerging Europe. Furthermore, the results from a structural vector autoregression model with contemporaneous restrictions indicate that although a domestic financial shock still accounts for most of the variation in domestic FSI, regional shocks play an important role in emerging Asia.     

Hysteresis and cyclical adjustment in the stock markets: the macroeconomic effects of technological progress

The aim of this paper is to investigate the effects of technological change on stock market dynamics. We develop an intertemporal optimising model, the central innovation of which is the distinction between the non-perishables and perishables sectors. We discuss the conditions likely to lead to cyclical stock market behaviour in response to technological shocks. Furthermore, we show that one-off technological advances may have persistent effects giving the country a permanent growth advantage. This gives an alternative mechanism for explaining differential growth rates to that already established in the endogenous growth literature.     

Volatility and cross correlation across major stock markets

Several papers have documented the fact that correlations across major stock markets are higher when markets are more volatile—this is done by comparing unconditional correlations over sub-periods or by using conditional correlations that are time varying. In this paper we examine the relation between correlation and variance in a conditional time and state varying framework. We use a switching ARCH (SWARCH) technique that does two things. One, it enables us to model variance as state varying. Two, a bivariate SWARCH model allows us to go from conditional variance to state varying covariances and correlations and hence test for differences in correlations across variance regimes. We find that the correlations between the U.S. and other world markets are on average 2 to 3.5 times higher when the U.S. market is in a high variance state as compared to a low variance regime. We also find that, compared to a GARCH framework, the portfolio choices resulting from our SWARCH model lead to higher Sharpe ratios.     

Tests of technical trading strategies in the emerging equity markets of Latin America and Asia

This study examines the potential profit of ten Variable Length Moving Average (VMA) technical trading rules in ten emerging equity markets in Latin America and Asia from January 1982 through April 1995. The average difference in buy − sell returns after trading costs for each rule and country are compared to a buy and hold strategy. Taiwan, Thailand and Mexico emerge as markets where technical trading strategies may be profitable. We find no strong evidence of profitability for the other markets. However, we find that 82 out of the 100 country–trading rule combinations tested in ten emerging markets, disregarding their statistical significance, correctly predict the direction of changes in the return series. These findings may provide investors with important asset allocation information.     

An examination of the Vietnamese emerging market economy: understanding how and why auditors have responded to the audit law reforms

Using New Institutional Sociology (NIS), we seek to explain the variation between what was intended with the Vietnamese reforms to audit in 2011 and the actual practice, and why there is variation. This paper reports findings from interviews with 70 individuals representing identified groups of stakeholders in the market for audit and assurance services in Vietnam. Overall, the findings indicate that there still exist business risks for foreign companies that pursue trade and commerce in communist Vietnam, particularly where non‐Big 4 audit firms are involved in the external audit function, as in some cases auditor independence is most likely compromised.     

Nonlinear serial dependence and the weak-form efficiency of Asian emerging stock markets

The objective of this paper is to re-examine the weak-form efficiency of 10 Asian emerging stock markets. Using a battery of nonlinearity tests, the statistical results reveal that all the returns series still contain predictable nonlinearities even after removing linear serial correlation from the data. The next stage of sub-sample analysis using the Hinich [Hinich, M., 1996. Testing for dependence in the input to a linear time series model. Journal of Nonparametric Statistics 6, 205–221] bicorrelation test shows that the 10 Asian series follow a pure noise process for long periods of time, only to be interspersed with brief periods of strong nonlinear dependence. The exploratory investigation found that the cross-country differences in nonlinear departure from market efficiency can be explained by market size and trading activity, while the transient burst of nonlinear periods in each individual market can be attributed largely to the occurrence of economic and political events.     

Economic engagement and within emerging markets integration

We explore the co-movements between emerging markets by employing dynamic conditional correlation approach. We additionally explore the factors that might drive the conditional correlations between emerging markets. We show that trade with the high income countries is a more important driver of the co-movements between emerging markets relative to trade with other emerging markets either within or outside the geographic region of the given country. We further document that the overall health of an economy, investment and market depth explain the correlation between emerging markets. Evidence is also provided that although, the recent emerging markets and global financial crises raised the correlation between emerging markets, not all country pair correlations increased around the period of the crisis. The findings show that economic engagement as opposed to geographic proximity is more relevant in describing within emerging markets integration. The findings suggest that diversification gains could be achieved by strategically investing across some emerging markets even in crisis periods.     

Integration of 22 emerging stock markets: A three-dimensional analysis

We apply the three-dimensional analysis of wavelet coherency to examine the integration of 22 emerging stock markets with the U.S. market. We find a high degree of co-movement at relatively lower frequencies between the U.S. and the 22 individual emerging markets. Our results show that the strength of co-movement, however, differs by country. For example, we report a high degree of co-movement between the U.S. and Brazil, Mexico and Korea, but low co-movement with and Egypt and Morocco. Our analyses also document a general change in the pattern of the market relationship after 2006, where we detect co-movements at relatively higher frequencies. Co-movement at the highest frequencies is, however, weak for fluctuations with duration less than a year. Our findings imply that investing selectively in emerging markets may provide significant diversification benefits which, invariably, depend on the investment horizon.     

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.     

Explaining co-movements between stock markets: The case of US and Germany

We explain co-movements between stock markets by explicitly considering the distinction between interdependence and contagion. We propose and implement a full-information approach on data for US and Germany to provide answers to the following questions:

(i) Is there long-term interdependence between US and German stock markets?

(ii) Is there short-term interdependence and contagion between US and German stock markets, i.e. do short-term fluctuations of the US share prices spill over to German share prices and is such co-movement unstable over high-volatility episodes?

Our answers are, respectively, no to the first question and yes to the second one.     

Intra- and inter-regional spillovers between emerging capital markets around the world

In this paper, returns and volatility spillovers between emerging capital markets of Central and Eastern Europe, Latin America, and South-East Asia are investigated. We distinguish between spillovers from countries located in one region (intra-regional) and in different regions (inter-regional) after controlling for shocks originating at home and on the global market. Both intra- and inter-regional spillovers are significant, with the former being more pronounced than the latter. Our findings indicate that linkages between emerging markets are not solely due to their common dependence on the global capital market and highlight the importance of common factors in intra-regional interdependencies.     

Determinants and consequences of voluntary disclosure in an emerging market: Evidence from China

In this paper we examine empirically the determinants of voluntary disclosure in the annual reports of Chinese listed firms that issue both domestic and foreign shares and determine if the cost of debt capital is related to the extent of voluntary disclosure. We find the level of voluntary disclosure is positively related to the proportion of state ownership, foreign ownership, firm performance measured by return on equity, and reputation of the engaged auditor. There is no evidence, however, that companies benefit from extensive voluntary disclosure by having a lower cost of debt capital.     

Bond market development and bank stability: Evidence from emerging markets

We investigate how bond market development shapes banks’ risk taking in terms of portfolio structure, liquidity risk, and overall bank risk. Exploiting a bank-level database of 26 emerging markets, we find that larger bond markets are associated with stronger bank liquidity positions, lower portfolio risk of banks, and higher overall stability of banks. The effect of bond market development on bank risk taking remains robust across different levels of bank size and capital sufficiency. Overall, we find new evidence of a complementary relationship between bond market development and bank soundness.     

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.     

Global integration and emerging stock market excess returns

This article studies the effects of the global integration process on emerging stock market excess returns in a dynamic context. I improve the existing literature in four main directions. First, I show that the average excess returns rise as the level of financial and real integration rises. Second, I find overwhelming evidence that the financial liberalizations (i.e. de jure integration) of the late 1980s and early 1990s have not been simultaneously accompanied by a de facto integration. Third, I find that the percentage of variation in emerging excess returns explained by non-traded global risk factors rises as the level of market openness rises. Last, at the country level, I show that the correlation coefficient does not represent a robust measure of integration. Results also suggest that there are substantial cross-country differences in the dynamics of the degree of financial integration.     

Predictability of stock markets with disequilibrium trading. A commentary paper

The paper focuses on the problem of predictability of stock market returns with disequilibrium trading. It is shown that the predictability of returns may be the consequence of quantity constraints appearing in the markets due to the imposition of administrative restrictions on trade. A relevant test of predictability for the Warsaw Stock Exchange (WSE) based on information referring to disequilibrium states occurrence is proposed. The empirical results of its application to the WSE on a sample containing session-to-session observations from the period January 1995 to December 1999 strongly support the hypothesis of predictability.     

Corruption and stock market development: Developing vs. developed economies

This paper looks at the impact of corruption on stock market development, emphasizing the difference between developing and developed economies and the role corruption may play in preventing firms from listing. Guided by a theoretical model that explains why corruption’s impact on stock market development may differ, we use a sample of 87 economies worldwide over the period 1995–2017 to test for that difference. For the full sample we find no evidence that corruption has a significant effect on stock market development, but this changes when we split the sample into two groups: high-income and low-income countries. For the subsample of poorer (developing) countries, the corruption-stock market development relationship remains insignificant or weak. For the subsample of high-income (developed) countries, however, we find a significant relationship between lower levels of corruption and stock market capitalization as a share of gross domestic product. Our results further indicate that higher levels of income and investment reduce the impact of that relationship. Our results are robust to alternative estimation specifications and confirm the importance of macroeconomic fundamentals (i.e., income, investment, domestic credit, and macroeconomic stability) for the development of stock markets. In particular, those fundamentals seem more important for developing economies before reduced corruption will have as much (if any) of an impact.     

Ripple effects of the 2011 Japan earthquake on international stock markets

This paper provides a comprehensive analysis of the impacts of Japan’s 2011 earthquake on 19 stock market sector returns in Japan and its trading partners both in the short and long run. Using an event study methodology, we find that the impact of this event was not limited to Japan or industries directly hit by the earthquake. Our short-run analysis indicates that all sector indices in Japan and many in its trading partners were affected by the earthquake. The direction of the impact on trading partners, however, was not the same for all sectors; while the earthquake adversely affected the majority of the sectors analyzed, some sectors benefited. Further, we find that the magnitude of the abnormal returns did not systematically vary across trading partners according to their shares in Japan’s trade flow. The long-run analysis reveals how the consequences of the earthquake unfolded beyond the event date.