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Purpose: The purpose of this paper then, is to add to the existing literature on financial contagion. While a vast amount of the debate has been made using data from the late 1990s, this paper differentiates itself by analysing more current data, centred around the most recent global financial crisis, with specific focus on the stock markets of Hong Kong and Tokyo. Design/methodology/approach: Employing Pearson and Spearman correlation measures, the dynamic relationship of the two markets is determined over tranquil and crisis periods, as specified by an Markov-Switching Bayesian Vector AutoRegression (MSBVAR) model. Findings: The authors find evidence in support of the existence of financial contagion (defined as an increase in correlation during a crisis period) for all frequencies of data analysed. This contagion is greatest when examining lower-frequency data. Additionally, there is also weaker evidence in some data sub-samples to support "herding" behaviour, whereby higher market correlations persist, following a crisis period. Research limitations/implications: The intention of this paper was not to analyse the cause or transmission mechanism of contagion between financial markets. Therefore future studies could extend the methodology used in this paper by including exogenous macroeconomic factors in the MSBVAR model. Originality/value: The results of this paper serve to explain why the debate of the persistence and in fact existence of financial contagion remains alive. The authors have shown that the frequency of a time series dataset has a significant impact on the level of observed correlation and thus observation of financial contagion. [ABSTRACT FROM AUTHOR]

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]

We study the stock market effects of the arrival of the three rounds of "stimulus checks" to U.S. taxpayers and the single round of direct payments to Hong Kong citizens. The first two rounds of U.S. checks appear to have increased retail buying and share prices of retail-dominated portfolios. The Hong Kong payments increased overall turnover and share prices on the Hong Kong Stock Exchange. We cannot rule out that these price effects were permanent. The findings raise novel questions about the role of fiscal stimulus in the stock market. Authors have furnished an Internet Appendix , which is available on the Oxford University Press Web site next to the link to the final published paper online. [ABSTRACT FROM AUTHOR]

The relationship between the housing market, stock market and macroeconomic variables has long been a topic of concern to both academics and practitioners. This paper examines the short-run dynamics and long-run relationships between the residential property price index and the stock market index and four selected macroeconomic variables in Hong Kong. The Johansen (1991) cointegration approach and the vector error correction model (VECM) approach are used to examine the monthly time series during the sample period from 2004 to 2019. Our results show that there is a cointegration relationship between the residential property price index and the stock market index and selected macroeconomic variables. There is evidence that the Hang Seng Index, money supply (M3), total loans and unemployment rate are significantly associated with the residential property price index, while the consumer price index has no significant impact on the residential property price index in the short-run dynamics. Also, only the Hang Seng Index and two macroeconomic variables have a long-run cointegration relationship with the housing market. This is the first attempt to shed light on both short-run and long-run relationships between two capital markets and macroeconomic variables in the context of Hong Kong. Our findings provide important implications for relevant government departments to stabilise the housing market and help practitioners form effective investment strategies. [ABSTRACT FROM AUTHOR]

The People's Republic of China has increasingly become an attractive location for foreign capital. The flow of foreign capital into mainland China includes the so-called northbound cash flow which is a colorful term that is often used to describe capital flowing into the mainland from Hong Kong. Two markets that have become an attractive destination for northbound cash flow is the Shanghai stock exchange and the Shenzhen stock exchange. This paper investigates the impact, if any, of northbound cash flows on investor sentiment for investors residing in mainland China. In other words, the paper attempts to ascertain whether the extent of northbound cash flows influences the extent to which mainland investors feel either bullish or bearish about the market. The research objective is addressed using quantitative models and focuses on the Shanghai and Shenzhen stock exchange. Research results indicate that northbound cash flows from Hong Kong significantly impacts investor sentiment in mainland China. [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]

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]

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]

The opening of Shanghai-Hong Kong Stock Connect (SH-HK) Program and Shenzhen-Hong Kong Stock Connect (SZ-HK) Program has changed the relationship between stock markets, and caused more challenges to the risk management and asset portfolio. Therefore, this paper applies the DY and BK methods to analyze the static and dynamic spillovers of Shanghai, Shenzhen and Hong Kong stock markets from the time and frequency perspectives. Based on 29 sector indexes from three markets ranging from June 15, 2011 to December 31, 2020, three conclusions are obtained. The implementation of the SH-HK Program and the SZ-HK Program has enhanced the spillover effects of return and volatility among Chinese Mainland stock markets and Hong Kong stock market. The Shanghai Energy, the Shanghai Material and the Shanghai Industrial are always obvious net senders of spillover, while the Hang Seng telecommunications, the Hang Seng real estate construction industry and the Hang Seng public utilities are always net receivers. The spillover mainly occurs in the short term. These results would be beneficial to risk supervision and portfolio optimization. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3. Specifically, it investigates the impact of banking sector development, economic growth, inflation rate, exchange rate, trade openness and stock market liquidity on stock market development. Design/methodology/approach: This paper uses quarterly time-series data covering the period 1992Q4-2016Q3, which have been obtained from various reliable sources. The study uses the autoregressive distributed lag bounds testing procedure to identify both the long- and short-run macroeconomic drivers of stock market development in Hong Kong. Findings: We find that banking sector development and economic growth have positive impacts on stock market development, whereas the inflation rate and the exchange rate have negative impacts on stock market development both in the long and short run. In addition, the results show that trade openness has a positive long-run impact but a negative short-run impact on stock market development. Originality/value: Despite the phenomenal growth of stock market in Hong Kong, there are, to the best of the authors' knowledge, no relevant studies on the macroeconomic drivers of stock market development in Hong Kong. Therefore, this paper endeavours to enrich the literature by examining the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3. [ABSTRACT FROM AUTHOR]

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]

The purpose of this study is to investigate the relationship between macroeconomic variables (interest rate, money supply, exchange rate, inflation rate) and overall market return in Hong Kong and Shanghai. The relationship is test by using APT, VECM and Granger-Causility test. Pre-tests of unit root and cointegration are the way to process monthly data in this paper. Results: There do exist an relationship between the selected macroeconomic variables and stock market return in Hong Kong and Shanghai in the long and short period. This paper implies that the investors who are interested in Chinese stock market should be prepared to invest for the long-term. But in Hong Kong stock market, the investors not only focus on the long-term but also focus on the short-term. [ABSTRACT FROM AUTHOR]

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This paper examines the influence of and relationship between independent non-executive directors (INEDs) and the performance of firms listed on the Hong Kong Stock Exchange (SEHK). Many previous studies argue that INEDs can improve corporate governance and firm performance. However, research in this area is ongoing in different countries and stock exchanges and has produced inconsistent conclusions. The results of this study should help in reviewing the suitability of the current INED standards and whether they can be applied to different firm segments in Hong Kong. The paper aims to help policymakers/regulators determine whether further revision of the current INED policy is necessary. The results can be further investigated and applied to other emerging markets/regions worldwide and may be particularly suitable for regions with many family-controlled and state-owned enterprises. [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]

This paper investigates whether implied volatility index can be predicted and whether the prediction of implied volatility index can improve option trading performances by checking Hang Seng Index Volatility (VHSI). The results indicate that VHSI can be predicted more accurately when considering day-of-week effect and spillover effect. Furthermore, this paper uses straddle to examine the trading performance with the real data from Hong Kong option trading market. The results suggest that option trading based on the prediction of VHSI can generate extra returns, and model specifications with day-of-week and spillover effects perform better than ones without these two effects. The results also suggest that the prediction of VHSI adds value to practical investors. [ABSTRACT FROM AUTHOR]

The Shanghai–Hong Kong Stock Connect (SH–HK–SC) and Shenzhen–Hong Kong Stock Connect (SZ–HK–SC) programs aim to strengthen the openness of Mainland Chinese stock market. They are considered milestones in the development process of the Mainland Chinese capital market. This paper studies the effects of the SH–HK–SC and SZ–HK–SC programs on the co‐movement between the Mainland Chinese, Hong Kong and U.S. stock markets in terms of dynamic conditional correlation by the t‐copula–DCC–GARCH model. We find that both programs do not substantively enhance the daily price co‐movements among the examined markets for all pairs except the Hong Kong–U.S. pair. The combination effect of the programs significantly enhances the weekly price co‐movements between the Mainland Chinese and Hong Kong, or U.S. stock market after the SZ–HK–SC program, with an insignificant effect on the Hong Kong–U.S. pair. Although the multiple breakpoint tests for the daily data and weekly data exhibit somewhat different results, the structural breakpoints of the dynamic correlation coefficients among the stock markets easily appear during the subprime crisis. Some possible explanations are provided for the results, and correspondent suggestions are given for investors and policymakers. [ABSTRACT FROM AUTHOR]

Purpose – The paper aims to investigate order-based manipulation that consists of order-placing strategies. Design/methodology/approach – Using the bid and ask record provided by Hong Kong Exchanges and Clearing Limited, a Level II dataset, the paper develops a methodology to obtain cancelled orders during regular trading hours. The paper examines the cancelled orders and potential order-based manipulation activities, as well as the corresponding behavior of different groups of stocks. Findings – Empirical results show that the relationship between order cancellation and order-based manipulation is strong and deserves more attention. Originality/value – The methodology can also be used by regulators and authorities to monitor suspicious activities in the market. This paper also suggests that analysis on high-frequency data does improve the understanding of trading activities in the stock market. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the effects of cross-border mergers and acquisitions (M&As) by firms in the emerging marketing on stock market cumulative abnormal returns (CARs). This research focuses on the acquiring firms in emerging markets and broadens the existing scope which highlights the M&As by firms in developed countries. Design/methodology/approach: Regarding the controversial argument on the effect of cross-border M&As, the authors introduce a resource-based theory to explain the motivation of M&As by Chinese firms, conduct an event study analysis of 472 international acquisitions by Chinese firms from 2010 to 2015 and indicate cross-border M&As as a positive signal in the stock market. Findings: The results reveal that cross-border M&As result in significantly positive CARs in a short term for the acquiring firms listed in mainland markets but not for that in the Hong Kong market. Furthermore, consistent with signaling theory and the investors' heuristic thinking in decision-making, investors may adopt the technological innovation capability of the country where the target firms locate, and the acquiring firm's preannouncement in shaping their positive judgment of the acquiring firm's near future performance. Originality/value: The authors distinguished the responses of the investors from the mainland and Hong Kong stock markets and investigated how the knowledge of the national innovation capability of the target firm and acquisition preannouncement influence the investors' interpretation of the cross-border M&As as a market signal. [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]

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]

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]

By employing high-frequency data, a series of minute-by-minute HSI data, this paper examines whether the expiration-day effect exists in the last trading period before the market closes in the Hong Kong stock market. Contrary to the previous findings in the well-developed US markets, this paper finds that the expiration-day effect neither exists on the whole expiration day nor in the last trading time of the expiration day before the market closes. This study suggests that the expiration-day effects are not unavoidable by-products of the creation of index futures in the stock market. [ABSTRACT FROM AUTHOR]

This article examines the market reactions to the trading suspensions in Hong Kong, China. Trading suspension aims to ensure that all investors have fair access to market information when any drastic change occurs, possibly causing a disorderly market. However, it is a controversial issue as to whether this goal can be realized during abnormal periods. While the existing literature on trading suspension provides evidence for the U.S. markets, few studies have investigated market reactions to trading suspensions outside the U.S. The purpose of this paper is to add new evidence to current literature on trading halts by investigating trading suspensions on the Stock Exchange of Hong Kong (SEHK). Specifically, this paper evaluates the effectiveness of trading suspensions in three aspects: the price discovery process, changes in return volatility and changes in trading volume. Both the SEHK and Securities and Futures Commission have authority to suspend stock trading. According to the SEHK's Rules, the Stock Exchange may suspend dealings in any securities where the following conditions exist.

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]

This paper investigates fraudulent financial reporting (FFR) in the China-based companies listed on the Hong Kong Stock Exchange (called H shares) in which Chinese government officials have a high degree of involvement and heavy impact on audit quality and corporate governance. It intends to find out the causes of FFR, the opportunities that make such reporting possible, and whether the presence of politically connected executives creates an environment that is conducive to FFR. The results show that the corporate environment most likely to lead to FFR is characterized by earnings management accounting practices. [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]

For stocks traded on the Hong Kong Exchange, the median of five prices taken over the last minute of trading is currently chosen as the closing price. We introduce a stochastic control formulation to target such a median benchmark in an empirically justified model which takes the key microstructural features into account. We solve this problem by providing an explicit and efficient algorithm which even has applications beyond this paper as it can be used for the dynamic linear approximation of any square-integrable random variable. Implementing the algorithm on the stocks of the Hang Seng Index, we find an average improvement of around 6% in standard deviation of slippage compared to an average trader’s execution. We conclude by providing a novel decomposition of the trading risk into that which is intrinsic to the median benchmark and that due to execution. [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]

The Hong Kong stock market is known to be highly volatile. Professional investors have a strong demand for timely information because of the infrequent nature of Hong Kong analysts' interim reports (Cheng et al., 2003). Our paper provides a comprehensive study of investor reactions to analysts' recommendations in the Hong Kong stock market from 2009 to 2014 under different sentiment scenarios. We find that analysts' recommendation upgrades and downgrades deliver significant information to the Hong Kong stock market. However, analysts' initiation coverages convey little information and bring about limited impact to the stock market. In addition, analysts' upgrades and downgrades result in significant differential price impacts in bullish and the bearish phases. [ABSTRACT FROM AUTHOR]

This paper presents the findings of a study of the impact of intellectual capital disclosure on the initial public offering IPO) of shares listed on the Hong Kong Stock Exchange, which has been the largest IPO market in the world since 2009. One of the indicators of the success of an initial public offering is its subscription rate, which can be used as a proxy for the level of investor confidence in the stock being offered. The impact of intellectual capital disclosure, as part of voluntary disclosure, is examined by constructing a disclosure index. Correlation and regression analyses are employed to study its relationship with the subscription rate of an initial public offering. It is found that intellectual capital disclosure is a significant factor influencing the subscription rate, and that the extent of its impact depends on the type of information being disclosed. The evidence from Hong Kong contributes to the debate on the effect of voluntary disclosure on capital markets in general and of intellectual capital disclosure on IPOs in particular. [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]

The second half of August 1998 was dominated by two events. From 14 to 28 August, the Hong Kong Monetary Authority (HKMA) intervened in Hong Kong equity markets to prevent a speculative double play against their currency board. On 17 August, Russia announced its default on sovereign bonds. This paper demonstrates that the HKMA interventions had a substantial impact on the outcomes for US Treasury markets during this period using a careful analysis of high-frequency bond market data. On this evidence the shocks emanating from Hong Kong provided liquidity to the US Treasury market when it was most needed. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

On the first of July 1997, the formerly British colony of Hong Kong was returned to China. This paper compares the profitability of various trading rules on the Hang Seng Index both before and after the handover. Our work extends that of Coutts and Cheung (2000), whose study focuses on pre-1997 Hong Kong, in terms of both the data collection period as well as the number of trading rules studied. The authors find that, among the trading rules examined herein, the Trade Range Breakout rule generates the highest returns. We also conclude that, in general, the handover of Hong Kong to China does not affect the efficiency of the Hong Kong stock market. [ABSTRACT FROM AUTHOR]

Given the potential implications of market structure for asset pricing, this paper examines the structural and institutional features of the Hong Kong equity market and their relevance to explaining market behaviour. It was found that the Hong Kong market appears less perfect and hence less efficient than their counterparts in the more developed economies, such as the USA and the UK, so that market disequilibrium and asset mispricing might have occurred. This paper adds value to the literature as the findings provide an institutional framework for analysing and explaining the results from empirical asset pricing work, past and future, on the Hong Kong market. This has far-reaching implications for financial decisions. [ABSTRACT FROM AUTHOR]

This research paper investigates changes in volatility and attempts to capture it using statistical property for randomly selected stock markets of Spain and Hong Kong. The COVID - 19 pandemic has significantly affected the global economy and financial markets all around the world in recent few years. We consider data from January 2015 to September 2021 and various statistical and econometric tools being employed i.e. ADF test, correlation analysis, KPSS test, and GARCH family models. To describe visible impact, we used Loess fitness analysis and other density plots which demonstrate volatility scatter impact. The empirical findings revealed that GARCH (1, 1) model is not fitted to any of selected stock markets. However, the volatility of IBEX index was found stronger in magnitude manner. [ABSTRACT FROM AUTHOR]

Based on the theoretical framework of expected utility with uncertain probabilities, this paper uses actual prices of CSI300 and Hang Seng index to empirically measure ambiguity degrees in the Chinese mainland and Hong Kong stock markets. A Markov regime-switching model is proposed to divide the stock market into bear and bull states, and then test whether there exist significant differences in the ambiguity degrees under different states. An ambiguity factor and a risk factor are then proposed to analyze the time-varying relationship among risk, ambiguity, and return under different states. In addition to the mean and variance, the high-order moments, including skewness and kurtosis, are used to test whether they affect the relationship among them. The results show that the ambiguity degrees in the Chinese mainland stock market are significantly higher than those in the Hong Kong stock market, and there are significant differences between bear and bull states for the two markets. Moreover, the regression results among risk, ambiguity, and return indicate that with ambiguity, the effects of risk factors on excess returns is significantly negative under bear state, and significantly positive under bull state, while it is significantly negative under the two states without ambiguity. [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]

This paper proposes a regime-switching model to examine the correlation dynamics of the mainland Chinese and Hong Kong stock markets with high-frequency A-, B-, H-shares and Red Chip indexes. We find significant evidence of volatility persistence and asymmetries in these markets. Our model further suggests all correlations are significantly time-varying with various patterns and co-persistence in both low- and high-correlation states. Our findings have important implications for both policymakers and investors, such as understanding the extent and nature of integration between the mainland Chinese and Hong Kong stock markets over time and developing dynamic strategies for optimal hedging and portfolio management. [ABSTRACT FROM AUTHOR]

This paper investigates how large family shareholders and institutional block-holders jointly influence informed trading and firm valuation in the Hong Kong stock market. It combines market microstructure research with studies on the governance roles of multiple block-holders and finds that institutional block-holders rely on their relative controlling powervis-à-visfamily owners to mitigate problems associated with informed trading. They also use their ownership rights to improve the structure of informed trading. However, these governance roles are predominantly exercised by pressure-resistant institutional block-holders. Informed trading reduces firm valuation, while an improvement in its structure increases valuation. Therefore, the governance roles of controlling families and pressure-resistant institutional block-holders may have different implications in terms of investors’ perceptions of private information risk. [ABSTRACT FROM AUTHOR]

This paper reviews the origin and development of the stock market in Hong Kong. The first formal stock exchange, the Association of Stockbrokers in Hong Kong, was formed in 1891. However, the activities of the stock exchange are generally regarded as insignificant until the 1970s. Since the 1980s, there have been a number of major reforms and some significant developments. These include the unification of four stock exchanges; the establishment of the Securities and Futures Commission; the closer economic relations with Mainland China; the merger of the Hong Kong Stock Exchange and the Hong Kong Futures Exchange to form the Hong Kong Exchanges and Clearing Limited ( HKEx); the launch of the second board (Growth Enterprise Market); and the demutualisation of the HKEx. The Exchange generally responded positively to these reforms and developments. As a result, the Hong Kong stock market experienced significant growth in terms of its market capitalisation ratio, turnover ratio, and the total value traded ratio. Despite the impressive growth in various stock market indicators, however, the Hong Kong stock market still faces some challenges, including regulatory challenges, as well as some concern over its future viability as a global equity hub. [ABSTRACT FROM AUTHOR]