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The purpose of this paper is to pay more attention to four different research questions at least. One is that this study intends to explore the changes of the risk-return relationship over time, because the institutions and environment have changed a lot and might tend to influence the risk-return regime in the Chinese stock markets. The second question is whether there is any difference for the risk-return relationship between Shanghai and Shenzhen stock markets. The third question is to compare the similarities and dissimilarities of the risk-return tradeoff for different frequency data. The fourth question is to compare the explanation power of different GARCH-M type models which are all widely used in exploring the risk-return tradeoff.

This paper investigates the risk-return tradeoff in the Chinese emerging stock markets with a sample including daily, weekly and monthly market return series. A group of variant specifications of GARCH-M type models are used to test the risk-return tradeoff. Additionally, some diagnostic checks proposed by Engle and Ng (1993) are used in this paper, and this will help to assess the robustness of different models.

The empirical results show that the dynamic risk-return relationship is quite different between Shanghai and Shenzhen stock markets. A positive and statistically significant risk-return relationship is found for the daily returns in Shenzhen Stock Exchange, while the conditional mean of the stock returns is negatively related to the conditional variance in Shanghai Stock Exchange. The risk-return relationship usually becomes much weaker for the lower frequency returns in both markets. A further study with the sub-samples finds a positive and significant risk-return trade-off for both markets in the second stage after July 1, 1999.

This paper extends the existing related researches about the Chinese stock markets in several ways. First, this study uses a longer sample to investigate the relationship between stock returns and volatility. Second, this study estimates the returns and volatility relationship with different frequency sample data together. Third, a group of variant specifications of GARCH-M type models are used to test the risk-return tradeoff. In particular, the author employs the Component GARCH-M model which is relatively new in this line of research. Fourth, this study investigates if there is any structural break affecting the risk-return relationship in the Chinese stock markets over time.

While China is currently moving toward the full development of its own financial derivatives markets, to date, China's experience with these has been a negative one. This paper examines the importance to China of developing a fully integrated financial derivatives market from both the economic and financial market perspectives. It examines the best way forward for derivative trading, both market based and over-the-counter, and the types of products best suited to both, given the current state of the Chinese financial markets. Consideration is given to market structure, regulation, trading and settlement systems and international cooperation.

This chapter explores Hong Kong's future as a major public securities market. It concludes that Hong Kong has the potential to become one of the world's major – if not the number one – public securities market in the coming decades. However, there are four major factors that will affect how much this potential is realized: (1) How Hong Kong's market is treated by the Central Government in Beijing vis-a-vis its competitors in Shanghai and Shenzhen. If Hong Kong is allowed full access to the Chinese saver/investor and Chinese firms are allowed the choice of listing in Hong Kong, then Hong Kong will outcompete its Shanghai and Shenzhen rivals regardless of whether Shanghai and Shenzhen are opened for listings by foreign companies and to foreign investors. Hong Kong will thrive in an environment of no capital constraints on the renminbi. Conversely, a retention of the renminbi capital controls combined with free access of foreign firms to list on Shanghai or Shenzhen and/or restrictions on Chinese firms listing in Hong Kong would be very harmful to Hong Kong. (2) How skillful and aggressive Hong Kong and the Hong Kong Exchanges and Clearing Ltd. are in making Hong Kong into a global competitor as a securities market. Hong Kong's principal competitors on a global basis are New York and London and the new electronic exchanges that have sprung up in Western countries. (3) The full force of new technologies is not inhibited in Hong Kong to protect a monopoly position of the Hong Kong Exchanges and Clearing Ltd. (4) Hong Kong maintains its stable relationship with the US dollar, no capital controls are introduced in Hong Kong, and that Beijing continues to respect Hong Kong's information freedom as specified in the Basic Law.

This paper looks at one relatively less‐visited issue in market timing: switching investments on common stocks between different stock markets, namely, “intermarket timing”. By employing the stock price data for the period of 1992‐2002 from a developed market, Hong Kong, and two emerging markets, Shanghai and Shenzhen, this paper examines potential gains and the required predictive accuracy for intermarket timing between Hong Kong and Shanghai, and between Hong Kong and Shenzhen from Hong Kong investors’ perspective. Potential gains could be obtained from such timing strategy, and the non‐high minimum forecasting ability required for successful timing is fairly attainable for Hong Kong investors, even after taking into account the assumed transaction costs.

This paper aims to investigate Chinese bull and bear markets. The Chinese stock market has experienced a long period of bear cycle from early 2000 until 2006, and then it fluctuated greatly until 2010. However, the cyclical behaviour of stock markets during this period is less well established. This paper aims to answer the question why the Chinese stock market experienced a long duration of bear market and what factors would have impacted this cyclical behaviour.

By comparing the intervals of bull and bear markets between stocks and indices based on a Markov switching model, this paper examines whether different industries or A- and B-share markets could lead to different stock market cyclical behaviour and whether firm size can determine the relationship between the firm stock cycles on the market cycles.

This paper finds a high degree of overlapping of bear cycles between stocks and indices and a high level of overlapping between the bear market and a fraction of stock with increasing stock prices. This leads to the conclusion that the stock performance and trading behaviour are widely diversified. Furthermore, the paper finds that the same industry may have different overlapping intervals of bull or bear cycles in the Shanghai and Shenzhen stock markets. Firms with different sizes could have different overlapping intervals with bull or bear cycles.

This paper fills the literature gap by establishing the cyclical behaviour of stock markets.

The purpose of this paper is to examine the nature of equity ownership of state-owned enterprises (SOEs) for over 2,000 listed firms in China. The paper examines both the pattern of state ownership and the dynamics of stock returns and volatility. Firms under the control of SOEs dominate the Chinese stock markets and currently account for over three-quarters of total market capitalisation. Central SOEs are focused in strategic industries, while Local SOEs concentrate on pillar industries relating to consumer goods and services.

The authors obtain firm-level data from the Shanghai and Shenzhen stock markets and using panel estimation techniques examine the dynamics of returns, volatility and their relationship.

The authors report an increase in state control among listed firms compared to earlier reported figures. This is contradictory to the expectation of a lower state influence following China joining of the World Trade Organisation in 2001. In examining the behaviour of stock returns the authors find evidence of daily and monthly autocorrelations that are larger and of a different sign to that reported for western markets. The authors also report evidence of volatility persistence but little evidence of volatility asymmetry, again in contrast to that often reported for other markets. Finally, the authors find evidence of either no or a negative relationship between returns and volatility (risk) that differs from our usual view of risk aversion.

It is hoped, knowledge of these dynamics will increase the understanding of the Chinese equity market, which in turn is important for those engaged in international portfolio management and micro-structure modelling.

The purpose of this paper is to investigate whether the anti-corruption campaign, “Hunting the Tigers,” incurs a significant short-term loss of shareholders’ returns.

A sophisticated event study approach is employed.

The results show that the “Hunting the Tigers” has incurred a significant short-term loss of investment returns for shareholders in China’s main stock market board. In addition, the beginning of a new assault on China’s official mogul corruption in another round of political anti-corruption cycle after the 18th National Congress of the CPC has reduced this price significantly.

This finding should be perceived as the price of the corruption of official-business collusion within capital markets in contemporary China.

This study investigates the Chinese stocks' returns during different epidemic periods to assess their effects on firms' market performance.

The study employs an event study method on more than 3,000 firms listed on Shanghai and Shenzhen stock exchanges during periods of SARS, H5N1, H7N9 and COVID-19

Epidemics' effect on firms' stock returns is persistent up to 10 days after the event dates. Although the impact varies with types and development of the disease, most firms experience a negative impact of the epidemics. Among the epidemics, COVID-19 has the greatest impact, especially when it grows into a pandemic. The epidemics' impact is uneven across industries. In addition, B-shares and stocks listed on Shanghai Stock Exchange are more negatively influenced by the epidemic than A-shares and those listed on Shenzhen Stock Exchange.

The results of the study contribute to the limited literature on the effects of disease outbreaks as an economic shock on firm market performance. Given the possibility of other epidemics in the future, the study provides guidance for investors in designing an appropriate investing strategy to cope with the epidemic shocks to the market.

The research is novel in the way it compares and assesses the economic impact of different epidemics on firms and considers their impact at different development stages.

The existing literature about return reversal effect in Chinese stock markets is inconclusive and controversial. Therefore, the purpose of this paper is to investigate the presence of return reversal effect in the Shanghai A stock market.

The authors used the late-stage contrarian strategy of Malin and Bornholt (2013) for the period March 2011‒March 2016.

The results show that there is a long-term return reversal effect in the Shanghai A stock market for the period March 2011‒March 2016. When portfolios are in the formation period (P=24 months), the excess returns are significant in the holding period, Q=6, 9, 12, 24 months. Further, there is also a significant short-term momentum effect in the Shanghai A stock market. For the robustness check, a new reversal factor was introduced into the Fama‒French three-factor model. Results show that portfolios have a smaller size and have lower book-to-market ratios; the return reversal factor explains a portion of the abnormal returns and coefficient of the reversal effect is significant.

The authors caution readers from generalizing the findings of this study, as the sample is small and the focus is only on A stocks listed on the Shanghai Stock Exchange.

The present research expands the current literature by providing a comprehensive information about the presence of the long-term and short-term return reversal effects in Shanghai A stock market. Furthermore, the Chinese stock markets have distinctive features in comparison to the developed stock markets in terms of government control, institutional structure, liquidity, cultural background, etc. Such differences affect the pattern in stock returns compared with those observed in developed stock markets. Contrary to previous studies, the present study also accounts for robustness checks. Finally, it also evaluates the possible reasons for the return reversal effect in the Shanghai market.