Are the China-related stock markets segmented with both world and regional stock markets?

Implementing the Capital Asset Pricing Model framework, this study investigates the integration of three China-related stock markets, namely, the A-, B- and H-share markets, with both the Hong Kong stock market and the world market. An analysis of market segmentation versus integration using the Jorion and Schwartz model suggests that the A-share market was a segmented market during the period 1995–2004. However, evidence of a higher-level integration between the A- and B-share markets, and the A-share and Hong Kong stock markets is found in the sub-period tests. The hypothesis that the B- and H-share markets are becoming increasingly integrated with the world stock market is not supported.     

The effect of market segmentation on stock prices: The China syndrome

China has an A-share market that is open only to local investors and a B-share market that is open only to foreign investors. Contrary to what has been observed in other markets with a similar segmented structure, the China B shares trade at a discount relative to the A shares. We show that the phenomenon can still be explained by basic economic principles. Specifically, the existence of the H-share and the “red-chip” markets in Hong Kong provide good substitutes for the B-share market. We find that when more H shares and red chips are listed in Hong Kong, the B-share discount becomes larger. This is consistent with the model of differential demand elasticity proposed by Stulz and Wasserfallen (Stulz, R., Wasserfallen, W., 1995. Review of Financial Studies 8, 1019–1057).     

The informativeness of domestic and foreign investors’ stock trades: Evidence from the perfectly segmented Chinese market

This paper uses the perfect market segmentation setting in China's stock market to compare the information content of the stock trades of domestic and foreign investors. We study 76 firms that issue both A-shares (for domestic investors) and B-shares (for foreign investors) and compare the price discovery role of the two segmented markets in China. Before Feb 19, 2001, the A-share market led the B-share market in price discovery, as the signed volume and quote revision of the A-share market had strong predictive ability for B-share quote returns, but not vice versa. After Feb 19, 2001, because some domestic investors were allowed to invest in the B-share market, we find evidence for a reverse causality from the B-share to the A-share market. Nevertheless, the [Hasbrouck (1995). One security, many markets: determining the contributions to price discovery, Journal of Finance 50, 1175–1199.] information share analysis reveals that A-shares continue to dominate the price discovery process.     

Value relevance of accounting information: Evidence from an emerging market

Without making any distinction of the applicable accounting standards, this paper investigates, firstly, the value relevance of accounting information from 1999 to 2012 in different segments of the Chinese stock market. This investigation includes A-shares, prepared under Chinese Accounting Standards (CAS) for domestic firms; B-shares, prepared under either the International Accounting Standards (IAS) or International Financial Reporting Standards (IFRS) for both domestic and overseas firms; and H-shares prepared under either the IAS or Hong Kong GAAP for Hong Kong and overseas firms. Then, the paper examines whether or not the converged IFRS with CAS, applicable from 2007 onwards, is more value relevant when compared with prior to the 2007's standards (CAS, IAS, Hong Kong GAAP for A-share, B-share, and H-share markets, respectively). Based on 34,020 firm-year observations and after controlling for industry- and year-fixed effects, the findings suggest that accounting information is value relevant with A- and B-share markets, while it is partially relevant with the H-share market. The paper finds that the converged IFRS with CAS is more value relevant in A-shares and B-shares and it is partially more value relevant with the H-share market. These findings have implications for both policymakers and investors since they provide further empirical evidence for the current policy procedure which harmonizes local GAAP with IFRS.     

Empirical analysis of dynamic correlations of stock returns: evidence from Chinese A-share and B-share markets

This paper examines the dynamic correlation structure between A-share and B-share stock returns based on three different measures of correlation coefficients. Testing the models by employing daily stock-return data for the period from 1996 through 2003, we reach the following empirical conclusions. First, the correlation coefficients between A-share and B-share stock returns are time varying. Second, the dynamic path of the correlation coefficients indicates that the correlation coefficients are significantly correlated with the trend factor. Third, there is a substantial spillover effect from the Asian crisis to Chinese stock-return dynamic correlations. Fourth, the evidence suggests that the time-varying correlations are significantly associated with excessive trading activity as measured by excessive trading volumes and high–low price differentials. Fifth, the correlation between A-share and B-share markets has increased since the relaxation of the restriction on B-share market investments by domestic investors.     

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.     

The Post-Issue Market Performance of Initial Public Offerings in China's New Stock Markets

In this paper, we investigate the post-issue market performance of initial public offerings (IPOs) in China's new stock markets. Our analysis focuses on whether and how institutional features unique to China differentially affect IPO performance. These features include the existence of dual-class shares for the same underlying firms (A-shares issued to domestic investors and B-shares issued to foreign investors) and the unusually long time lag between the offering and listing dates. Our sample consists of 277 A-share and 65 B-share IPOs that were listed on China's new stock markets during the 1992–1995 period. Our study has a number of interesting results. First, A-share IPOs are much more severely underpriced during the initial return period than B-share IPOs. Second, B-share IPOs underperform A-share IPOs (and the market) during the post-issue periods for up to three years. Third, the results of multivariate regression analyses strongly suggest that economic factors determining the post-issue performance of IPOs differ across the A-share and B-share samples.     

Nonlinear interdependence of the Chinese stock markets

The methodologies and assumptions in financial integration studies are problematic and may lead to spurious empirical results. Using surrogate data analysis and the mutual prediction method of testing for nonlinear interdependence, it is feasible for an analyst, with a scant knowledge of the underlying dynamics of two dynamical systems, to show whether or not the systems are interdependent. This study applies these techniques in testing for nonlinear interdependence of three Chinese stock markets: Shanghai, Shenzhen, and Hong Kong. The empirical results of the present study indicate that the stock market series are nonlinear and that the Chinese stock exchanges are nonlinearly interdependent. Specifically, the evidence indicates that Shanghai and Shenzhen markets are bi-directionally interdependent, while Shanghai and Hong Kong as well as Shenzhen and Hong Kong markets are unidirectionally interdependent, with the direction of interdependence going from the mainland's markets to the Hong Kong market.     

Market segmentation and price differentials between A shares and H shares in the Chinese stock markets

We find that the risk premiums associated with the Hong Kong and mainland Chinese markets in a two-factor model successfully explain the cross section of returns on the A and H shares. Discounts of H-share prices relative to A-share prices are related to the contemporaneous movements of the H-share local market index relative to the A-share local market index, especially during the period of the Asian financial crisis, as well as the spread of savings rates between Hong Kong and mainland China. The evidence suggests that the risk premiums associated with the segmented A-share and H-share markets exert crucial impacts on the price differentials between the two classes of shares.     

Causality and cointegration of stock markets among the United States,Japan and the South China Growth Triangle

This paper explores the causality and cointegration relationships among the stock markets of the United States, Japan and the South China Growth Triangle (SCGT) region. Applying the recently advanced unit root and cointegration techniques that allow for structural breaks over the sample period (October 2, 1992 to June 30, 1997), we find that there exists no cointegration among these markets except for that between Shanghai and Shenzhen. By invoking the Granger causality test and considering the non-synchronous trading problem, we will show that stock price changes in the US have more impact on SCGT markets than do those of Japan. More specifically, price changes in the US can be used to predict those of the Hong Kong and Taiwan markets on next day. Similarly, price changes on the Hong Kong stock market lead the Taiwan market by 1 day. Furthermore, the stock returns of the US and Hong Kong markets are found to be contemporaneous. Finally, there is a significant feedback relationship between the Shanghai and the Shenzhen Stock Exchanges.     

A comparison of value relevance of accounting information in different segments of the Chinese stock market

This paper investigates the difference in the value relevance between the accounting information prepared and audited under the Chinese GAAP for A-share investors and under the international accounting standards (IAS) for B-share investors in the Chinese stock market. The study reports three primary findings. First, accounting information influences the pricing process in both the A-share market and the B-share market. Second, the accounting information in the B-share market is more value relevant than that in the A-share market, as expected. Finally, the value relevance level of accounting information in the A-share market was low in earlier years, peaked in 1996, and then decreased due to changes in the disclosure environment. However, the value-relevance level of accounting information in the B-share market had no substantial changes. Using a constant sample, control variables on firm features, and measures of traders' behavior, we obtain robust results. These findings have implications for policymakers on recent moves toward replacing local GAAP with the IAS.     

Time variation paths of international transmission of stock volatility — US vs. Hong Kong and South Korea

This study examines continuous time variation paths of sensitivities of the Hong Kong and South Korea stock markets to the US stock market and bond market (proxied by long-term interest rates) by using the Flexible Least Squares (FLS) estimation technique. The FLS findings suggest that changes in both the US stock market and US long-term interest rates may simultaneously have significant effects on the Hong Kong stock market in some time periods. In other periods, neither may have significant effects on the Hong Kong stock market. The results also indicate that the South Korea stock market is overall insensitive to changes in the US capital markets. However, it becomes more sensitive in the 1990s. Some macroeconomic variables may explain changes in the sensitivities of the Hong Kong and South Korea stock markets to changes in the US capital markets.     

Overreaction in the Hong Kong stock market

Overreaction reported in the equity markets of the United States, Spain, and Brazil is also observed in the Hong Kong stock market. The “loser” portfolios of the 33 stocks in the Hang Seng Index (HSI), on average, outperform the “winner” portfolios by 9.9% 1 year after the formation periods. Besides its emphasis on the importance of the Hong Kong market in international investment, this paper is unique in some special features related to the overreaction study. Hong Kong has markets for index futures and stock futures. Only three stocks are used in the portfolios. All the stocks in the HSI have large market capitalization and liquidity and can be shorted with no up-tick rule. Unlike other studies in international stock markets, the “arbitrage” portfolio of buying the loser portfolio and shorting the winner portfolio can actually be formed with minimum cost and easy execution, which makes the overreaction phenomena in this study very powerful.     

Dynamic Interactions Among Macroeconomic Variables and Stock Indexes in Taiwan,Hong Kong,and China

This study analyzes dynamic interactions among macroeconomic variables and the stock markets of Taiwan, Hong Kong, and China by incorporating the long-term and short-term comovements, which can shed some light on the long-term and short-term market efficiency/inefficiency in the region. The number of common cycles is investigated in these markets and each stock index series is decomposed into its trend and cyclical components. The authors observe that foreign stock markets have greater influence on the domestic market than domestic macroeconomic variables do. This implies that policymakers need to consider not only macroeconomic variables but also the effects of markets on one another when markets are integrated.     

Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets

This paper examines empirical contemporaneous and causal relationships between trading volume, stock returns and return volatility in China's four stock exchanges and across these markets. We find that trading volume does not Granger-cause stock market returns on each of the markets. As for the cross-market causal relationship in China's stock markets, there is evidence of a feedback relationship in returns between Shanghai A and Shenzhen B stocks, and between Shanghai B and Shenzhen B stocks. Shanghai B return helps predict the return of Shenzhen A stocks. Shanghai A volume Granger-causes return of Shenzhen B. Shenzhen B volume helps predict the return of Shanghai B stocks. This paper also investigates the causal relationship among these three variables between China's stock markets and the US stock market and between China and Hong Kong. We find that US return helps predict returns of Shanghai A and Shanghai B stocks. US and Hong Kong volumes do not Granger-cause either return or volatility in China's stock markets. In short, information contained in returns, volatility, and volume from financial markets in the US and Hong Kong has very weak predictive power for Chinese financial market variables.     

Value relevance of international accounting standards harmonization: Evidence from A- and B-share markets in China

Applying both the price-levels model and the lagged-price-deflated returns model, we investigated the incremental value relevance of the reconciliation of accounts from the Chinese Accounting Standards (CAS) to the International Accounting Standards (IAS) by those Chinese listed companies that have simultaneously issued A-shares and B-shares. In addition, we examined the usefulness of accounting numbers (earnings and book values) and their value relevance to the A- and B-share markets in China. The study finds that earnings and book values of owners’ equity determined under CAS are more relevant accounting information for the purpose of determining the prices of A- and B-shares. The CAS-based earnings changes were reflected in stock returns in the B-share market, while the CAS-based earnings were closely associated with stock returns in the A-share market. However, the study found that the reconciliation of earnings and book values from CAS to IAS basis is partially value-relevant, mainly to stock prices in the B-share market, while the earnings reconciliation is generally not value-added to stock returns in either the A- or the B-share market. The study results suggest that accounting numbers based on domestic accounting standards, in contrast to IAS, are more value-relevant in the Chinese stock market at present.     

Trading gap in holidays and price transmission: Evidence from cross-listed stocks on the A-share and H-share markets

Chinese public holidays of differing durations celebrated in mainland China and Hong Kong provide a unique trading gap when the A-share markets are closed but the H-share market is not. In this study, we examine how these non-overlapping trading gaps caused by holidays affect price transmission between cross-listed stocks in the A-share and H-share markets. We find that the price movements of H-shares during trading gaps are positively associated with post-holiday drifts in the A-share markets. This positive association is stronger when the length of non-overlapping holidays is longer, and when firms have a weaker connection to Hong Kong market. Moreover, our evidence reveals that investor distraction rather than sentiment during holiday periods may be the reason for this positive association. Finally, our results show that a portfolio trading strategy based on our findings can be profitable, indicating the economic magnitude of our findings.     

‘Slow-burn’ spillover and ‘fast and furious’ contagion: a study of international stock markets

‘Fast and furious’ contagion across capital markets is an important phenomenon in an increasingly integrated financial world. Different from ‘slow-burn’ spillover or interdependence among these markets, ‘fast and furious’ contagion can occur instantly. To investigate this kind of contagion from the US, Japan and Hong Kong to other Asian economies, we design a research strategy to capture fundamental interdependence, or ‘slow-burn’ spillover, among these stock markets as well as short-term departures from this interdependence. Based on these departures, we propose a new contagion measure which reveals how one market responds over time to a shock in another market. We also propose international portfolio analysis for contagion via variance decomposition from the portfolio manager’s perspective. Using this research strategy, we find that the US stock market was cointegrated with the Asian stock markets during four specific periods from 3 July 1997 to 30 April 2014. Beyond this fundamental interdependence, the shocks from both Japan and Hong Kong have significant ‘fast and furious’ contagion effects on other Asian stock markets during the US subprime crisis, but the shocks from the US have no such effects.     

Stock price reactions to earnings announcements: evidence from Chinese markets

We examine the stock price reactions to changes in earnings per share (EPS) in the Chinese stock markets. We find that domestic A-share investors do not correctly anticipate the changes in earnings and fail to adjust new earnngs information quickly, but international B-share investors can predict earnings changes better than A-share investors. As a result, abnormal returns (ARs) can be obtained by trading on the earnings information, but for A shares only. An explanation is that most A-share holders are individuals with short-term investment horizon while most B-share holders are large institutions that trade on more detailed and accurate financial information not immediately available to A-share holders.     

The cross-sectional relationship between stock returns and domestic and global factors in the Chinese A-share market

By using an extension of the Fama and MacBeth cross-sectional regression model, this analysis examines the relationship between stock returns and (i) a local beta, (ii) two global betas, and (iii) some firm-specific characteristics in the Chinese A-share market. The results of the analysis suggest that neither the conditional local beta nor the global betas has a significant relationship with stock returns in A-shares. Our findings indicate that firm factors, such as the book-to-market ratio and firm size, are important in explaining stock returns. However, the size effect is sensitive to the specification of the model. Finally, the results of sub-period tests indicate that the A-share market did not become increasingly integrated with either the world stock markets or the Hong Kong stock market over the period 1995–2002.