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Stock market plays a leading and crucial role in the market mechanism, which connects the savers and investors. So far, there is no uniform regulation on the disclosure requirement of environmental protection information in China. But companies are increasingly concerned about environmental protection and are committed to disclosing more information about environmental protection. It is important to analyze the information on stock market opening and environmental protection by computing technology. For the stock market, as voluntary disclosure of non-financial information, environmental protection information is an important supplement to financial information and is essential for the investors to make decisions. And it is the important content of capital market information. This article through the capital market opening opportunity: Shanghai (Shenzhen) Hong Kong stock connect (the stock market opening mentioned later in this paper all refers to the Shanghai (Shenzhen) Hong Kong stock connect), empirically investigates the stock market opening that affects the environmental protection information disclosure of the company. Our conclusion supports the views that the stock market opening improved the environmental protection information disclosure of the company and promotes the environmental protection behavior of enterprises. Through further analysis, this paper finds that after the officially carried out the stock market opening policy, the attention of many analysts and the participation of foreign institutional investors urge the management to take the initiative to reduce agency costs, which is an important influence mechanism for the stock market opening to affect the disclosure of enterprises' environmental protection information. The evidence of this study indicates that the stock market opening has an important impact on enterprises in China from the following aspects: improving the information disclosure of environmental protection, thus enhancing the company's awareness of environment protecting, and improving the information quality of stock market in China. [ABSTRACT FROM AUTHOR]

Dynamic linkages between macroeconomic factors and stock market developments in the economies of Hong Kong and Singapore are the subject of investigation in this paper. These city-states belong to the world's most globalised economies and are two of the world's four largest financial centres. In the crisis years, both these countries experienced a decline in GDP, faced the threat of deflation, and their foreign trade turnover decreased. The crisis also affected the financial sector. This paper aims to ascertain the impact of structural economic changes, namely the financial crisis, on the prosperity of these advanced economies. The basic characteristics of determinants of economic development and the analysis of the mutual relationships of selected macroeconomic indicators with the financial markets serve to meet the aim of this paper. The macroeconomic variables used in most research are GDP, the interest rate, the inflation rate, money supply and the unemployment rate. To test the dependence of these indicators, a regression model was constructed, and the period from 2005 to 2016 was chosen for observation. From the linear regression equation, it is obvious that the unemployment rate, the exchange rate and the interest rate have a prevailing negative effect on equity returns, in contrast to money supply, which has a prevailing positive effect. The Chow test confirms that the global financial crisis at the end of 2008 had a negative impact on the predictive ability of the chosen linear regression analysis in the long-term time horizon in both countries. [ABSTRACT FROM AUTHOR]

Stock market is one of the most important parts of the investment market. Compared with other industries, the stock market not only has a higher rate of return on investment but also has a higher risk, and stock price prediction has always been a close concern of investors. Therefore, the research on stock price prediction methods and how to reduce the error of stock price prediction has become a hot topic for many scholars at home and abroad. In recent years, the development of computer technology such as machine learning and econometric method makes the stock price prediction more reliable. Due to the hidden Markov nature of stock price, this paper proposes a stock price prediction method based on hidden Markov model (HMM). To be specific, since the data of stock price have continuity in time series, it is necessary to extend the discrete HMM to the continuous HMM, and then put forward the up and down trend prediction model based on the continuous HMM. The first-order continuous HMM is extended to the second-order continuous HMM, and the stock price is predicted by combining the prediction method of fluctuation range. As a result, the proposed second-order continuous HMM-based stock price prediction model is simulated on Hang Seng Index (HSI), one of the earliest stock market indexes in Hong Kong. The evaluation results on six months HSI show that the predicted value of the proposed model is very close to the actual value and outperforms three benchmarks in terms of RMSE, MAE, and R2. [ABSTRACT FROM AUTHOR]

We study the impact of stock market liberalisation through the Mainland China–Hong Kong Stock Connect (CHSC) program on the corporate financialisation of listed firms in Mainland China using the generalised difference-in-difference model in this paper. The empirical results show that implementing the CHSC program significantly reduces corporate financialisation of the listed firms in Mainland China by mitigating internal agency conflicts and enhancing external monitoring. Further analysis indicates that the inhibiting effect of stock market liberalisation through the CHSC program on corporate financialisation is more pronounced for firms without cross-listing or qualified foreign institutional investors (QFII) ownership and firms with a more remarkable change of foreign ownership brought by the CHSC program. [ABSTRACT FROM AUTHOR]

We study the impact of stock market liberalisation through the Mainland China–Hong Kong Stock Connect (CHSC) program on the corporate financialisation of listed firms in Mainland China using the generalised difference‐in‐difference model in this paper. The empirical results show that implementing the CHSC program significantly reduces corporate financialisation of the listed firms in Mainland China by mitigating internal agency conflicts and enhancing external monitoring. Further analysis indicates that the inhibiting effect of stock market liberalisation through the CHSC program on corporate financialisation is more pronounced for firms without cross‐listing or qualified foreign institutional investors (QFII) ownership and firms with a more remarkable change of foreign ownership brought by the CHSC program. [ABSTRACT FROM AUTHOR]

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Through the construction of wavelet coherence analysis and frequency-domain spillover framework, this paper makes a comparative study of the volatility spillover effects of international economic policy uncertainty (EPU) on China's Shanghai and Hong Kong stock market from a time-frequency perspective. To fully reflect the international EPU, this paper selects China, the United States, Australia, and the United Kingdom and uses the monthly EPU index of these countries and regions. China chooses China's EPU index and Hong Kong's EPU index. At the same time, the 5-minute high-frequency volatility of the Shanghai Composite Index (SSEC) and the Hang Seng Index (HSI) is selected to represent the Shanghai and Hong Kong's stock market, respectively. It is found that there are obvious differences between the EPU and the dependence of the stock market in time domain and frequency domain, and the lead-lag relationship between them has time-varying characteristics. Static and dynamic spillover effects play a dominant role in the analysis of medium- and long-term spillover effects. In particular, the EPU and the risk spillover of the Hong Kong stock market are stronger than those of the Shanghai stock market, and the dynamic frequency-domain net risk spillover between them has frequency characteristics, and there are two-way and asymmetric risk spillovers. This provides a certain reference for policy makers to improve the safety management of financial markets and for market investors to optimize their portfolios. [ABSTRACT FROM AUTHOR]

This paper argues that since China closes her asset markets, investors turn to Hong Kong instead. The initial public offerings (IPOs) of Chinese firms in the Hong Kong stock market and the local housing market of Hong Kong improve the prediction of each other, as they may serve as a coordinator of herds among investors. Alternative explanations such as the "production conjecture" and "underlying factor conjecture" are found to be inconsistent with the data. Our results are also consistent with the increasing importance of Chinese tourists in the world. Directions for future research are also discussed. [ABSTRACT FROM AUTHOR]

While most financial regulators agree that short sellers have an important role to play in ensuring an efficiently functioning market, it is interesting to note that many did not hesitate to ban short selling during the recent financial crisis. This apparent contradiction most likely stems from a lack of understanding about what motivates short trading. In this paper, we focus on the determinants of short selling during 'normal' trading in the Hong Kong stock market. We find that dividend payments, company fundamentals, risk, option trading, the interest rate spread and past returns and short selling are all significant determinants of short selling. [ABSTRACT FROM AUTHOR]

The price difference between A share trading in the Mainland and H share trading in Hong Kong of the same company has been prevailing since inception. Studying the differences could be useful in understanding dissimilarity between the two markets. This paper is devoted to analyze certain company specific and market factors that may influence premiums between A and H shares. An appropriate factor model is built based on a sample from 63 listed companies in both markets from January 2014 to June 2017. Our factors are useful to explain premium variations. In addition to typical market and company specific factors, it is found premium levels are significantly related to the industry sector in general. Meanwhile, it is observed that premiums of many shares are becoming narrower in recent years, which might pave the way to convergence after closer links between the Mainland and Hong Kong stock exchanges. [ABSTRACT FROM AUTHOR]

With the launch of the Shanghai-Hong Kong and the Shenzhen-Hong Kong Stock Connect programs, the correlations among the three stock markets have been more complex. Therefore, this paper applies the Minimum Spanning Tree and Sliding Window methods to analyze the complex correlations of the 38 financial institutions in the three markets. Based on closing prices ranging from January 1, 2011 to December 31, 2021, three conclusions are obtained. The top 20 institutions in the network were mainly banking institutions from 2011 to 2013, while the node strength of non-banking financial institutions tended to increase from 2014 to 2021. The network shows different structures over time, even the changes in the three correlation coefficients generally show the same trend. The degree correlation between any two layers is positive, but the similarity shows different characteristics. These results would help to enrich multi-layer network theory and reveal the evolutionary characteristics of the correlation between financial institutions. [ABSTRACT FROM AUTHOR]

By using the model of Chang et al. () with some modification and extension, this paper provides three main contributions to investor behavior literature in frontier stock markets, specifically the Vietnamese stock market. First, the study found the evidence of herd behavior in Vietnam, a frontier market, in both industry and market contexts. Second, the results show that investor herd behavior is driven by both up and down market scenarios. Third, the study observes that U.S. stock market affects herd behavior in the Vietnamese stock market. However, the Hong Kong stock market only impacts market information. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to explore the puzzle of why so many Chinese firms eschew listings in China. Hundreds of firms founded in China have reorganized themselves as overseas corporations and listed on the Hong Kong Stock Exchange. These firms are called Red-chips if they are state-owned enterprises (SOEs) and P-chips if they are not state-owned (non-SOEs). To examine the rationale behind the listing decisions of P-chips and Red-chips, we compare the characteristics of Red-chips (P-chips) with SOEs (non-SOEs) listed on China stock exchanges. We find that SOEs are more likely to list in China. Moreover, while we do not observe any significant difference between the performance of Hong Kong-listed and mainland-listed SOEs, we find non-SOEs that are listed in Hong Kong are significantly more profitable than those listed in China. We then explore three possible explanations for why Chinese firms, especially non-SOEs, may prefer to be listed in Hong Kong: (1) to facilitate personal wealth transfers out of China, (2) to increase access to debt capital, and (3) to facilitate more efficient stock price formation. We find that all three of these explanations have statistical support. [ABSTRACT FROM AUTHOR]

The aim of this paper is to add to the literature on volatility forecasting using data from the Hong Kong stock market to determine if forecasts from GARCH based models can outperform simple historical averaging models. Overall, unlike previous studies we find that the GARCH models with non-Normal distributions show a robust volatility forecasting performance in comparison to the historical models. The results indicate that although not all models outperform simple historical averaging, the EGARCH based models, with non-normal conditional volatility, tend to produce more accurate out-of-sample forecasts using both standard measures of forecast accuracy and financial loss functions. In addition we test for asymmetric adjustment in the Hang Seng, finding strong evidence of asymmetries due to the domination of financial and property firms in this market. [ABSTRACT FROM AUTHOR]

A bulk of literature has identified the major economic drivers of Hong Kong's rapid and steady economic performance over the last three decades. Of the major economic drivers identified, the performance of the stock market has received less attention. This paper examines the causal links between the stock market performance and economic performance of Hong Kong in an augmented VAR setting. Using an extended quarterly dataset that covers the period of 1986Q2-2014Q4 and the Toda-Yamamoto causality test, we find that stock market performance as proxied by the market capitalization ratio and economic performance stimulate each other. In addition, stock market performance as proxied by the total value traded ratio and economic performance influence each other. However, the causal links between stock market performance and economic performance dissipate if stock market performance is proxied by the turnover ratio. This finding suggests that the causal links between stock market performance and economic performance are highly dependent on the proxy used for stock market performance in the case of Hong Kong. [ABSTRACT FROM AUTHOR]

This paper examines the martin gale hypothesis for five Asian stock markets using the spectral shape tests of Durlauf (1991). Unlike the variance ratio test employed in previous studies (eg, Pan et al, 1991), the spectral shape tests are consistent against all stationary alternatives to the martingale null. The spectral shape tests were applied to daily and weekly returns on the stock indices of Thailand, Hong Kong, Korea, Malaysia and Taiwan over a period of 17 years. The results show that the martingale null is rejected for most markets. There is some evidence that the rejections may be due to low frequency or long memory influences. [ABSTRACT FROM AUTHOR]

The Shanghai-Hong Kong Stock Connect has been in operation for more than a year. It is predictable that with the implementation of this scheme, cross-border securities disputes between the Mainland and Hong Kong will be on the rise. In resolving these disputes, one of the most important problems is the determination of substantive law that should apply to them. This paper makes feasible proposals to harmonize the choice of law rules regarding cross-border securities disputes under the Shanghai-Hong Kong Stock Connect with due reference made to the approaches adopted by the Hague Convention on the Law Applicable to Certain Rights in Respect of Securities Held with an Intermediary and the Uniform Commercial Code of the US. [ABSTRACT FROM AUTHOR]

We investigate the role of limit orders in the liquidity provision in a pure order-driven market. Results show that market depth rises subsequent to an increase in transitory volatility, and transitory volatility declines subsequent to an increase in market depth. We also examine how transitory volatility affects the mix between limit orders and market orders. When transitory volatility arises from the ask (bid) side, investors will submit more limit sell (buy) orders than market sell (buy) orders. This result is consistent with the existence of limit-order traders who enter the market and place orders when liquidity is needed. [ABSTRACT FROM AUTHOR]

Due to the heterogeneity of investor structure between the Chinese mainland stock market (A-share market) and the Hong Kong stock market (H-share market) as well as the limitations on arbitrage activities, most cross-listed stocks in the two markets (AH stocks) have the characteristics of "one asset, two prices", in which AH stocks with the same vote rights and dividend streams are traded at different prices in different markets. Based on the VAR (LA-VAR as well) model and a four-variable system including AH stock indices (AHXA, AHXH), the China Securities Index 300 (CSI 300), and the Hang Seng Index (HSI), this paper applies a new time-varying causality test to examine the causalities in prices and volatilities for two pairings (AXHA-AHXH pairing and CSI 300-HSI pairing) during the sample period spanning from 4 January 2010 to 21 May 2021. The empirical results exhibit statistically significant time-varying causalities of the two pairings. Specifically, at the price level, AHXH has a significant negative causal effect on AHXA from October 2017 to February 2020 except for several months in 2018, while AHXA merely has a negative impact on AHXA during a short period from March 2017 to May 2017. Of note, the direction of causalities in volatilities between AHXA and AHXH reverses. A positive causality is found from AHXA to AHXH at the 5% significance level during the period of April 2014 through May 2021, while no causality is detected in the opposite direction during the whole sample period. Meanwhile, the volatilities of CSI 300 significantly Granger cause those of HSI over the whole sample period, but not vice versa. Implications of our results are discussed. [ABSTRACT FROM AUTHOR]

Existence of short-term momentum effect is a widely disputed topic. This paper aims to solve the dispute and examine the presence of short-term momentum effect in the stock market of Hong Kong. Empirical results of 16 monthly price momentum investment strategies suggest that short term momentum effect has been found in Hong Kong's stock market and it is overwhelmingly strong. Future research should focus on investigating momentum effect using weekly and daily price momentum strategies. [ABSTRACT FROM AUTHOR]

A number of scholars examine the impact of information flow associated with Google search queries of various search terms on heteroskedasticity of stock return data using the framework of Lamoureux and Lastrapes (1990). This paper examines the role of internet search queries in carrying the new information flow regarding economic innovation to the stock market for ten countries from a sample of top twenty innovative counties (based on Global Innovation Index 2018). When the internet search volume is included in the conditional variance equation of GJR-GRACH model, the ARCH coefficient becomes statistically insignificant for Canada, South Korea, Switzerland and USA (Hong Kong and South Korea to some extent). These findings suggest that the number of internet search volume is a manifestation of residual heteroskedasticity (ARCH type) in stock return data. As such, the internet provides a much-needed infrastructure for carrying the new information flow attached to economic innovation to the stock market as the common stockholder (i.e. capital providers for innovation) expectations reflect such persistent flow of new knowledge to the stock market. Trading volume testifies the specification used and, as such, the internet search queries could possibly be interpreted as an absorptive capacity variable as stock of new knowledge flow of the economy could be successfully traced by volume. [ABSTRACT FROM AUTHOR]

This paper investigates public-trader order-placement strategies by examining the relations between the state of the limit-order book and previous price movements. There is support for an information effect, as traders become more aggressive in buying and more patient in selling after previous positive stock returns. The widening of the bid-ask spread also causes traders to place less aggressive orders. However, there is no evidence of the options effect on limit-order trading. This study also reveals that orders at the best quotes react faster and complete the adjustment earlier than orders that are far away from the best quotes. [ABSTRACT FROM AUTHOR]

Despite its obvious importance, little empirical research has examined the impact of political risk on stock market volatility. This paper uses data on the Hong Kong stock market over a long sample period to investigate whether political risk has induced regime shifts in stock market volatility. Regime shifts are modelled via a Markov switching EGARCH model that allows for regime-dependent volatility asymmetry. We find strong evidence of regime shifts in conditional volatility as well as significant volatility asymmetry in high volatility periods. Major political uncertainties were reflected in a switch to the high-volatility regime. However, contrary to popular perceptions, we find no evidence that the Hong Kong stock market has become persistently more volatile since the start of Sino-British political negotiations in 1982. [ABSTRACT FROM AUTHOR]

This paper explores the issue of causalities among five different indices of shares issued by Chinese firms, A and B Shares listed in the Shenzhen and Shanghai Stock Exchanges, and H Shares listed in the Stock Exchange of Hong Kong. By measuring cross autocorrelations and conducting Granger causality tests, we found that the causality relationships among the five different indices went through significant changes after early 1996; B Shares became more influential relative to the other shares. B Shares in China have tended to lead H Shares in Hong Kong since 1996. Although A Shares tended to lead B Shares before 1996, such relationships either disappeared or were reversed after 1996. [ABSTRACT FROM AUTHOR]

Studies on the relationship between price changes and trading volume can provide insight into the structure of the financial market. In this paper, we will study the above topic and concentrate on the stock market of Hong Kong. The correlation between price changes and trading volume as well as that between the magnitude of price changes and trading volume will be examined. We will also check the asymmetry of the price changes and volume relationship. Moreover, we will investigate the relationship between the variance of return and trading volume. Finally, the Granger causality test of price changes and volume will be performed. [ABSTRACT FROM AUTHOR]

Using a direct test, this paper studies the month-of-the-year effect on the higher moments of six industrial stock indices of the Hong Kong market. We also examine the portfolio effect on skewness and kurtosis across month of the year to see if such an anomaly exists. The empirical results support a weak month-of-the-year effect in higher moments of stock returns. Using a complete sample of all possible combinations for each portfolio size, we show that portfolio effect varies across month of the year for both skewness and kurtosis. In particular, our results show that diversification does not necessarily provide benefits to rational investors when the stock return distribution is non-normal, even though portfolio formation can reduce standard deviation. In June, August and October, diversification across industrial sectors results in a more negatively skewed and leptokurtic return distribution, which is not preferred by investors with risk-aversion. Two (one) possible explanations for the portfolio effect on skewness (kurtosis) are also provided. Our empirical results add new evidence to the existence of anomalies in the Hong Kong stock market. [ABSTRACT FROM AUTHOR]

This study presents a teaching case that analyzes the applicability of the Z-Score bankruptcy prediction model to manufacturing firms listed in Hong Kong. Although the Z-Score model has been studied extensively, there are very few studies in the context of the Hong Kong stock market. Given that the Hong Kong stock market has high retail investor participation and low liquidity, whether the Z-Score model is relevant to Hong Kong investors is an important but unanswered question. The Z-Score model predicts the bankruptcy of firms by considering financial ratios involving firm liquidity, solvency, profitability, leverage, and activity. Financial and stock return data on the manufacturing firms listed in the Hong Kong Stock Exchange from 1981 to 2020 are collected from Thomson Reuters Datastream to examine the applicability of the Z-Score model in Hong Kong. Firms are then classified into bankrupt or non-bankrupt groups based on their Z-Scores. The annual stock returns in the subsequent year are analyzed for the two groups after classification. When the Z-Score threshold is set at 0, investing in the non-bankrupt group and short-selling the bankrupt group earns an annual return of 11.99% in the subsequent year. The results are robust to alternative periods and lagged values of the Z-Score. This suggests that stock prices do not reflect all the accounting data and that investors can increase their returns using the Z-Score model. As retail investors have limited resources, it may be difficult for them to fully implement the Z-Score model for a portfolio that consists of thousands of stocks. However, they can still avoid substantial losses by not investing in firms with low Z-Scores. [ABSTRACT FROM AUTHOR]

Global crises have created unprecedented challenges for communities and economies across the world, triggering turmoil in global finance and economy. This study adopts the dynamic conditional correlation multiple generalized autoregressive conditional heteroskedasticity (DCC–MGARCH) model to explore contagion effects across financial markets in crisis. The main findings are as follows: (1) the financial crisis and COVID-19 pandemic intensified the connection between the Chinese and US stock markets in the short term; (2) the dynamic conditional correlations (DCCs) during the COVID-19 pandemic are higher than those during the 2008 financial crisis owing to the further opening of the Chinese capital market, and financial institutions' investments in the European market are higher than those in the American markets; (3) a stepwise increase is observed in the dynamic conditional correlation between the returns on the S&P 500 Index and SSEC during and after the onset of a destructive crisis; and (4) a unidirectional contagion effect exists between the Chinese market and US market, and the Hong Kong stock market contributes to the risk spillover. Effective transmission channels of external negative shocks may be investors' sentiments, financial institutions, and the RMB exchange rate in the stock markets. This study provides useful suggestions to authorities formulating financial regulations and investors diversifying risk investments. [ABSTRACT FROM AUTHOR]

The stock market is an indicator of investor sentiment when it comes to new information or innovative firm-level products. Green bonds are both innovative and unique in terms of their higher information disclosures and understanding the impact of sustainable finance on investor outlook for a company's stock. Using the comparative case of Mainland China and Hong Kong's stock market, we examine whether green bond announcements from 2016 to 2019 can create significant investor reactions. By employing the event study methodology, we confirm that both markets react in a positive way toward green bond announcements. This reinforces the reputational and financial benefits of green bonds. We find that issuers that are non-banks, environmentally friendly firms as well as those issuing non-general bonds, create a more positive reaction, whereas ownership aspects do not matter as much for investors. However, even among those issuers listed in both markets, certain institutional dynamics like strategic framing and source credibility tend to reinforce a firm's institutional legitimacy and are seen as being more prominent for investor reaction. The policy implications of our study show that the stock market reaction among two connected economies, where previously varying institutional contexts have resulted in regional differences, are now equally supportive of sustainable financial markets like the green bond. As seen with the positive stock market sentiment, governments and listed issuers can now better align their policies and internal strategies, allowing the low-carbon transition to be a financially attractive opportunity for all investors. [ABSTRACT FROM AUTHOR]

Abstract: The research on volatility spillover effects between many stock markets is an important subject of finance in recent years. This paper investigates the volatility spillover between the stock markets in Shanghai and Hong Kong. Granger causality model and GARCH (1, 1)-in-mean model are adopted to test and analyze the relevance of the return and volatility between the two markets. The empirical results suggest that Hong Kong equity market has one-way significant effects on Shanghai stock market after the reform of the shareholder structure of listed companies. [Copyright &y& Elsevier]

Abstract: Financial volatility refers to the intensity of the fluctuations in the expected return on an investment or the pricing of a financial asset due to market uncertainties. Hence, volatility modeling and forecasting is imperative to financial market investors, as such projections allow the investors to adjust their trading strategies in anticipation of the impending financial market movements. Following this, financial volatility trading is the capitalization of the uncertainties of the financial markets to realize investment profits in times of rising, falling and side-way market conditions. In this paper, an intelligent straddle trading system (framework) that consists of a volatility projection module (VPM) and a trade decision module (TDM) is proposed for financial volatility trading via the buying and selling of option straddles to help a human trader capitalizes on the underlying uncertainties of the Hong Kong stock market. Three different measures, namely: (1) the historical volatility (HV), (2) implied volatility (IV) and (3) model-based volatility (MV) of the Hang Seng Index (HSI) are employed to quantify the implicit volatility of the Hong Kong stock market. The TDM of the proposed straddle trading system combines the respective volatility measures with the well-established moving-averages convergence/divergence (MACD) principle to recommend trading actions to a human trader dealing in HSI straddles. However, the inherent limitation of the MACD trading rule is that it generates time-delayed trading signals due to the use of moving averages, which are essentially lagging trend indicators. This drawback is intuitively addressed in the proposed straddle trading system by applying the VPM to compute future projections of the volatility measures of the HSI prior to the activation of the TDM. The VPM is realized by a self-organising neural-fuzzy semantic network named the evolving fuzzy semantic memory (eFSM) model. As compared to existing statistical and computational intelligence based modeling techniques currently employed for financial volatility modeling and forecasting, eFSM possesses several desirable attributes such as: (1) an evolvable knowledge base to continuously address the non-stationary characteristics of the Hong Kong stock market; (2) highly formalized human-like information computations; and (3) a transparent structure that can be interpreted via a set of linguistic IF–THEN semantic fuzzy rules. These qualities provide added credence to the computed HSI volatility projections. The volatility modeling and forecasting performances of the eFSM, when benchmarked to several established modeling techniques, as well as the observed trading returns of the proposed straddle trading system, are encouraging. [Copyright &y& Elsevier]

In this paper, we carry out the empirical numerical study of the l[sub∞] portfolio selection model where the objective is to minimize the maximum individual risk. We compare the numerical performance of this model with that of the Markowitz's quadratic programming model by using real data from the Stock Exchange of Hong Kong. Our computational results show that the l[sub∞] model has a similar performance to the Markowitz's model and that the l[sub∞], model is not sensitive to the data. For the situation with only two assets, we establish that the expected return of the minimum variance model is less than that of the minimum l[sub∞] model when both variance and the return rate of one asset is less than the corresponding values of another asset. [ABSTRACT FROM AUTHOR]

The purpose of this research is to study what issues may affect investor adoption of on-line trading in the Hong Kong financial market. The studied system is a system that provides straight-through trading for investors, rather than an order routing system that forwards orders from a broker firm to the appropriate market. One communication infrastructure for on-line trading is the Internet. However, other infrastructures, such as wireless communication channels, may also be used to support direct interaction between the investors and the stock exchange. Feasibility of changing to a new service or system can be viewed from different perspectives, technical, operational, financial, and social/organizational. This paper focuses on the social/organizational perspective by using a research model based on the Decomposed Version Theory of Planned Behavior (DTPB) to identify the factors that affect investors' adoption of on-line trading. A correlation analysis has been performed to investigate whether the hypothesized attributes, variables, and belief structure are correlated with each other. After such analysis, the factors that influence the adoption of the proposed system have been identified, as well as the relationships between the factors. Such results can be helpful to the Stock Exchange of Hong Kong (SEHK) and the Hong Kong Securities and Futures Commission (SFC) for planning the launch of Internet trading. [ABSTRACT FROM AUTHOR]

Many previous studies on insider trading are based ondata in the U.S. capital market and conclude thatinsiders can earn abnormal profits. This paperexamines abnormal price performance associated withinsider trading in the Hong Kong stock market. We findthat abnormal profits associated with insider tradingare all concentrated on small firms. Trading volumedoes matter in determining the magnitude of thoseabnormal profits. Our results show that insiders ofmedium-sized and large firms do not earn abnormalprofits. Finally, it is found that outsiders who mimicthe information of insider trades associated withmedium-sized and large firms cannot earn abnormalprofits. [ABSTRACT FROM AUTHOR]

We investigate the relationship between cross‐listings and dividend policy. We find that Chinese cross‐listed firms have lower and more stable dividends than their non‐cross‐listed peers, and that dividends become more stable the longer a company has been cross‐listed. We also find the strength of the cross‐listing/dividend policy relationship varies based on the market where the shares are cross‐listed. The strength of the relationship varies from B‐shares (least strong) to Hong Kong shares (stronger) to American Depository Receipts (strongest). Our results indicate cross‐listings may influence both dividend size and stability, and that this influence can vary by the type of cross‐listing. [ABSTRACT FROM AUTHOR]

Financial data usually have the features of complexity and interdependence structure, such as asymmetric, tail, and time-varying dependence. This study constructs a new multivariate skewed fat-tailed copula, namely, noncentral contaminated normal (NCCN) copula, to analyze the dependent structure of financial market data. The dynamic conditional correlation (DCC) model is also incorporated into constructing the time-varying NCCN copula model. This study comprehensively examines the effects of the DCC-NCCN copula and related models on fitting dependence structures of Hong Kong stock markets. The results show that the DCC-NCCN copula model can better depict the dependence structures of returns. Considering the flexibility and complexity, the DCC-NCCN copula model is a relatively ideal, time-varying, multivariate skewed fat-tailed copula model. [ABSTRACT FROM AUTHOR]

The Asian economic crises of 1997 and the 2008 Global Financial Crisis (GFC) had far-reaching impacts on Asian and other global economies. Turmoil in the banking and finance sectors led to downturns in stock markets, resulting in bankruptcies, house repossessions and high unemployment. These crises have been shown to be correlated with a deterioration in mental health and an increase in suicides, and it is important to understand the implication of these impacts and how such recessions affect the health of affected populations. With the benefit of hindsight, did lessons learned from the negative effects of the 1997 Asian economic recession impact the aftermath of the 2008 GFC in Asian countries? Utilising a framework based on a simple strata-bootstrap algorithm using daily data – where available – we investigate the trend in suicide rates over time in three different populations (Hong Kong, Taiwan and South Korea), and examine whether there were any changes in the pattern of suicide rates in each country subsequent to both the 1997 Asian and 2008. We find that each country responded differently to each of the crises and the suicide rates for certain age-gender specific groups in each country were more affected. [ABSTRACT FROM AUTHOR]

We examine the effects of the 2008 financial crisis on the cross-market efficiency of the Hong Kong and Shanghai stock markets. Our results show a sharp decline in the cross-market efficiency during the financial crisis. We investigate whether this is due to lower internal market efficiency or higher market co-movement. The results show no evidence that the internal market efficiency dropped in Hong Kong or Shanghai during the crisis. In contrast, we document a strong increase in the market co-movement during the crisis. These results suggest that the decline in cross-market efficiency during the financial crisis is due to increased market co-movement and not a decline in internal market efficiency. [ABSTRACT FROM AUTHOR]

This study examines whether China’s weak institutional environment results in lower-quality audits by the Big 4 firms. We find that the Big 4 assign their less experienced partners to companies that are listed only in China compared with clients cross-listed in Hong Kong. The Big 4 are less likely to issue modified audit reports, and they charge lower audit fees for clients that are listed only in China. Finally, companies listed only in China have larger signed abnormal accruals than do companies cross-listed in Hong Kong. Overall, we conclude that the weak institutional environment in China results in the Big 4 firms providing lower-quality audits to companies that are listed only in China. [ABSTRACT FROM AUTHOR]

This research proposes a numerical approach in estimating the trend of behavior of this market. This approach is applied to a model that is inspired by catalytic chemical model, in terms of differential equations, on four composite indices, New York Stock Exchange, Hong Kong Hang Seng, Straits Times Index, and Jakarta Stock Exchange, as suggested by Caetano and Yoneyama (2011). The approach is used to minimize the difference of estimated indices based on the model with respect to the actual data set. The result shows that the estimation is able to capture the trend of behavior in stock market well. [ABSTRACT FROM AUTHOR]

A new class of tests of contagion is proposed identifying transmission channels of financial market crises through changes in higher order moments of the distribution of returns such as coskewness. Applying the framework to test for contagion in real estate and equity markets following the Hong Kong crisis in 1997-1998 and the U.S. subprime crisis in 2007 shows that the coskewness-based tests of contagion detect additional channels not identified by the correlation-based tests. Implications of contagion in pricing exchange options where there is a change in higher order comoments of returns on the underlying assets are also investigated. [ABSTRACT FROM AUTHOR]

Many studies show that the use of technical analysis can generate excess returns. We test the 'CRISMA' technical trading rule introduced by [Pruitt and White J. Portfolio Managt. Spring, 1988, 55-58] on global equity indices and common stocks in Hong Kong. Out study shows that no excess returns could be found in indices except those in Asia. This validates the claims that the Asian stock markets are not as efficient as other stock markets and hence can be exploited by technical analysis. How does CRISMA perform on common stocks in Hong Kong? Generally speaking, CRISMA does not fair better than the buy and hold strategy. Further analysis reveals excess returns for stocks with very large turnover. This is consistent with other recent research on CRISMA conducted on US and UK stock markets. We also amend part of the original CRISMA rules to yield better performance: shrinking the moving average window sizes can increase both the number of trade signals and the excess returns. Therefore CRISMA can be made to work with some judicious choice of parameters, depending on the turnover. [ABSTRACT FROM AUTHOR]

There is no consensus about the cause for higher volatility at the market open than at the market close in the U.S. market. As an order–driven, nonspecialist market, the Hong Kong stock market provides a useful setting for an examination. If halt of trade were the major cause of higher open–to–open volatility, the open–to–open volatility in the Hong Kong market would be higher. However, this is not observed. The autocorrelation of the open–to–open return series also indicates that the temporary price deviation at the market opening is not significant. We view these findings as consistent with the specialist argument. [ABSTRACT FROM AUTHOR]