Common stochastic trends and volatility in Asian-Pacific equity markets

This paper uses Johansen's cointegration test and a modified cointegration test with generalized autoregressive conditional heteroskedasticity (GARCH) effects to examine linkages between the U.S. and five Asian-Pacific stock markets (Australia, Hong Kong, Japan, Malaysia, and Singapore) during the period from 1988 to 1994. The modified cointegration test with GARCH effects is used to assess whether these stock price series share common time-varying volatility. The results indicate that the six stock markets are highly integrated through the second moments of stock returns but not the first moments.     

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.     

An objective Bayesian analysis of common stochastic trends in international stock prices and exchange rates

This paper uses Bayesian methods to analyze unit root and cointegration properties of two different finance data sets. Avoiding the use of subjective prior information, the paper surveys and utilizes several different objective Bayesian methodologies in an investigation of common stochastic trends in international stock markets and in spot and forward exchange rates for several different countries.     

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.     

The rise in comovement across national stock markets: market integration or IT bubble?

A stylized fact in the portfolio diversification literature is that diversifying across countries is more effective than diversifying across industries in terms of risk reduction. But with the rise in comovement across national stock markets since the mid-1990s, this no longer appears to be true. We explore if this change is driven by global integration and therefore likely to be permanent, or if it is a temporary phenomenon associated with the recent stock market bubble. Our results point to the latter hypothesis. In the aftermath of the bubble, diversifying across countries may therefore still be effective in reducing portfolio risk.     

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.     

The non-linear relationship between oil prices and stock prices: Evidence from oil-importing and oil-exporting countries

This paper investigates the long-run dynamics between stock and oil prices over the period from March 13, 2001 to August 25, 2017 using the Rafailidis and Katrakilidis (2014) approach, which includes the structural breaks in the relationship between the variables in a Dynamic Ordinary Least Squares model. The approach verifies the existence of cointegration and asymmetry. The main results indicate that when using nonlinear approaches, we can find cointegration and asymmetry. For oil-exporting countries, a positive long-term relationship was found between oil and stock prices. In this case, the wealth effect prevailed for these countries. For oil-importing countries with developed economies, a negative signal was found, confirming that in these economies the business cost channel prevailed. However, oil-importing countries with emerging economies have experienced a positive sign in the long-term relationship, probably due to the economic cycle. In addition, only the United States has seen asymmetric adjustments in the long-term relationship between oil and stock prices.     

Common stochastic trends and the dynamic linkages driving european stock markets: evidence from pre- and post-october 1987 crash eras

Given the impact of the October 1987 crash pre-empting fears of a deep-seated financial collapse, there is now much scope for assessing its importance quantitatively. In this paper, time series techniques are used to analyse the dynamic linkages and propagation of shocks among five European stock markets. While we do not find any long-run relationship of stock markets over the entire sample ped, evidence is found in support of a unique cointegrating vector over each of the pre- and post-crash samples. Furthermore, the dynamic analysis reveals that the lead–lag relationships changed quite significantly over the sample following the crash.     

Multimarket trading and liquidity: a transaction data analysis of Canada–US interlistings

We use transaction data for Toronto Stock Exchange (TSE) listed stocks to examine the impact on trading costs of the decision to interlist on a US exchange. We measure trading costs using both ‘posted’ bid-ask spreads and ‘effective’ bid-ask spreads that measure actual transaction prices relative to standing bid-ask quotes. After controlling for price level, trade size and trading volume effects, we find that overall posted and effective spreads in the domestic (TSE) market decrease subsequent to the interlisting. However, the decrease in trading costs is concentrated in those TSE stocks that experience a significant shift of total trading volume (TSE and US) to the US exchange after listing. We interpret this result in the context of theories of multimarket trading as a competitive response by TSE market makers to the additional presence of US market makers.     

International comovement of stock market returns: A wavelet analysis

The assessment of the comovement among international stock markets is of key interest, for example, for the international portfolio diversification literature. In this paper, we re-examine such comovement by resorting to a novel approach, wavelet analysis. Wavelet analysis allows one to measure the comovement in the time–frequency space. In this way, one can characterize how international stock returns relate in the time and frequency domains simultaneously, which allows one to provide a richer analysis of the comovement. We focus on Germany, Japan, UK and US and the analysis is done at both the aggregate and sectoral levels.     

International trade and financial integration: a weighted network analysis

The authors analyse patterns of international trade and financial integration using complex network analysis. The combination of both binary and weighted approaches delivers more precise and thorough insights into the topological structure and properties of international trade and financial networks (ITN and IFN). It is found that the ITN is more densely connected than the IFN, while both types of network display a core–periphery structure. This hierarchical organization is more pronounced in financial markets, suggesting that the bulk of trade in financial assets occurs through a handful of countries acting as hubs. High-income countries are better linked and form groups of tightly interconnected nodes. This kind of structure can explain why the recent financial crisis has spread rapidly among advanced countries while reaching emerging markets only in a second phase.     

Economic freedom and the stability of stock prices: A cross-country analysis

This paper investigates the link between economic freedom and the price stability of individual securities in a unique setting. Using a sample of 327 American Depositary Receipts (ADRs), we find an inverse relation between the economic freedom of a ADRs' home country and the price volatility of the ADR. This negative correlation is driven primarily by certain components of economic freedom, such as property right protection, the soundness of the money, and the level of free trade in the home country. Further, we find evidence that less regulation and less government control of markets in the home country leads to more stable ADR prices.     

Linkages between Indian and US financial markets: impact of global financial crisis and Eurozone debt crisis

This paper examines inter-linkages between Indian and US equity, foreign exchange and money markets using the vector autoregressive-multivariate GARCH-BEKK framework. We investigate the impact of global financial crisis (GFC) and Eurozone debt crisis (EZDC) on the conditional volatility and conditional correlation estimates derived from the multivariate GARCH model for Indian and US financial markets. Our results indicate that there is significant bidirectional causality-in-mean between the Indian stock market returns and the Rs./USD market returns, and significant unidirectional causality-in-mean from the US stock market returns to the Indian stock market returns. As regards volatility spillovers, we find that volatility in the Indian stock market rises in response to domestic as well as US financial market shocks but Indian financial market shocks do not impact the US markets. Further, impact of the recent crisis episodes on the covariance matrix is found to be significant. We find that volatility in the Indian and US financial markets significantly amplified during GFC. The conditional correlations across asset markets were significantly accentuated in the wake of the two crisis episodes. The impact of GFC on cross-market conditional correlations is higher for majority of the asset market pairs in comparison to the EZDC.     

Information flow between the stock and option markets: Where do informed traders trade?

This paper investigates the flow of information between the equity and options markets. We argue that informed traders, in deciding where to place their trades, are not entirely indifferent to option moneyness, degree of information asymmetry, and option liquidity. Unlike some previous studies that find information to flow unilaterally from equity to options markets, we control for the above factors and discover feedback relations between trades in out-of-the-money (OTM) options and the underlying equities. The finding is consistent with the pooling equilibrium hypothesis, which asserts that informed traders trade in both the equity and options markets. Some informed traders are probably attracted to the out-of-the money options because of their higher liquidity, lower premiums, and higher delta-to-premium ratios, hence, lending support to the liquidity and leverage hypothesis.     

Dynamic correlations and hedging effectiveness between gold and stock markets: Evidence for BRICS countries

This paper examines the dynamic relationships between gold and stock markets using data for the BRICS counties. For this purpose, we estimate the Asymmetric DCC model for weekly stock and gold data. Our main objective is to examine the time-varying correlations between the two assets and to check the effectiveness of gold as a hedge for equity markets. The empirical results reveal that the dynamic conditional correlations switch between positive and negative values over the period under study. These correlations are low to negative during the major financial crises suggesting that gold can act as a safe haven against extreme market movements. We also evaluate the implications for portfolio diversification and hedging effectiveness for the gold/stock pairs. Our findings suggest that adding gold to a stock portfolio enhances its risk-adjusted return.     

Comparing COVID-19 with the GFC: A shockwave analysis of currency markets

I analyze the shockwave effect of the COVID-19 pandemic on currency markets, with a comparison to the global financial crisis (GFC), employing Kapetanios m-break unit root test, investigations of standalone risk measures—downside variance, upside risk, volatility skewness, Gaussian Value at Risk (VaR), historical VaR, modified VaR—and Diebold–Yilmaz volatility spillover analysis. Standalone risk analysis shows that the turmoil in the initial months of COVID-19 was not as severe as that in the GFC. However, examination of co-movements and volatility spillovers illustrates a different scenario. According to the results of the static connectedness measure of Diebold–Yilmaz, the shockwave of the COVID-19 pandemic in the total volatility spillover is about eight times greater than that of the GFC. Among standalone risk measures, the results closest to this finding are obtained from volatility skewness analysis. Additionally, of six foreign exchange rates, the Brazilian real and Turkish lira are the currencies experiencing the greatest increase in received volatility during the GFC and the COVID-19 pandemic, respectively. These findings suggest the severe effect of crises on emerging financial markets.     

The relationship between returns and unexpected earnings: A global analysis by accounting regimes

Numerous studies have documented a long-term association between earnings and returns. Surprisingly, few attempts have been made to internationally examine market reactions to earnings releases over return windows less than 12 months. This paper globally explores the market reaction to unexpected earnings defined by both the change in earnings per share (EPS) and analyst forecast errors (AFE) using a 1-month return window. First, the existence of the earnings-returns relationship is examined using a sample of firms from 32 countries grouped into accounting regimes. Accounting regimes represent groups of countries that exhibit similarities in accounting standards, stock market characteristics, corporate governance mechanisms, and economic conditions. Thus, similar reactions to earnings are expected within regimes. Next, the incremental information content of analyst forecasts, a proxy for investors’ earnings expectations, is examined. Finally, changes in the structure of the earnings-returns relationship over time are investigated. Results support the existence of a relationship between earnings and returns in all accounting regimes. In addition, analyst forecast errors appear to be incorporated into earnings expectations in most developed countries. Finally, evidence suggests that the significance and explanatory power in the earnings-returns relationship has increased in recent years.     

The choice between rights and underwritten equity offerings: Evidence from Chinese stock markets

We study the choice and valuation effects of alternative flotation methods using a sample of Chinese firms that must meet the return on equity (ROE) thresholds set by the government to raise equity capital. The ROE requirement, although changed over time, seems to play an important role on the valuation and performance of seasoned equity offerings. The analysis of 219 rights and 75 underwritten offerings between 2000 and 2004 shows that Chinese firms that are not qualified for the flotation method with a higher ROE requirement suffer the most at announcement and experience significantly lower buy-and-hold abnormal returns than those that are qualified. Our results suggest that the freedom to choose their preferred flotation method may be valuable to firms that meet the higher ROE requirement. Finally, our probit models identify several determinants of the choice of flotation methods.