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Using daily data since 2017, we disentangle China-specific structural shocks driving Chinese financial markets and examine spillovers across global markets. The novelty of this paper consists of simultaneously identifying China shocks with shocks emanating from the United States and shocks to global risk sentiment - two major forces driving global financial markets - to ensure that China spillover estimates do not reflect common factors. Our results show that shocks originating in China have material impacts on global equity markets, although spillovers are much smaller than those following shocks in the United States, or those triggered by shifts in global risk sentiment. By contrast, shocks from China account for a significant proportion of variation in global commodity prices, more on a par with those of the United States. Nevertheless, spillovers from China can be significantly amplified in an environment of heightened global volatility, or when the shocks are large. [ABSTRACT FROM AUTHOR]

This study examines whether and how the interaction between extreme market movements and the disposition effect can affect subsequent return spreads between stocks with large paper losses and those with large paper gains for a sustained period of time. We study all the A-shares listed on the Shanghai Stock Exchange and the Shenzhen Stock Exchange. Based on the prospect theory, our results show that after extreme negative market movements, the disposition effect enhances significant subsequent return spreads; however, it generates insignificant subsequent return spreads when extreme market movements are positive. [ABSTRACT FROM AUTHOR]

Our paper investigates how qualified foreign institutional investors (QFII) impact stock liquidity in the Chinese A-share market using data for 2005 to 2019. Contrary to previous findings, we find that QFII enhance stock liquidity. Specifically, QFII's participation is negatively associated with the individual stock illiquidity and positively related to stock trading volume. Moreover, using a step-by-step procedure, we provide evidence that QFII raises stock liquidity by ameliorating information asymmetry. QFII will attract more market attention and improve firm disclosure quality. We address possible endogeneity with fixed effects and instrumental variables, and our findings are robust to self-selection bias, stock market shocks, and alternative explanatory variables. [ABSTRACT FROM AUTHOR]

Alibaba and Coupang had enjoyed a period of success, starting with their IPOs. However, both companies have underperformed Amazon during the last 12 months. This special issue explores the underlying drivers for their tumultuous performance outcomes, including governance, political risks and internationalization strategies. This introduction paper sets the scene by studying the market perspective based on analyst reports, financial statements and stock market data. To understand growth expectations, we decompose current share prices into their present value, explained by current earnings and future value, driven by future growth and profitability. Exogenous factors such as the recent increase in interest rates, woes of governance problems associated with foreign corporations in South Korea and China's anti-monopoly drive aimed at its tech giants have contributed to weaker performance. Our analysis of implied growth rates suggests that the market expects annual revenue growth above 11% for the foreseeable future. These expectations will be hard to meet, requiring a rethink of business models and processes. [ABSTRACT FROM AUTHOR]

Based on the sample of listed companies in China, this paper discusses the impact of the annual report inquiry letter sent by stock exchanges on stock price informativeness. Research results show that the inquiry letter increases the stock price non-synchronicity, indicating a positive impact of the inquiry letter on stock price informativeness. This effect is more pronounced for companies with low information transparency and poor corporate governance, suggesting that inquiry letter increases stock price informativeness through the information channel and governance channel. The positive impact of inquiry letter on stock price informativeness is affected by the frequency of receiving inquires, whether accounting firms are required to express verification opinions and the number of questions in the inquiry. Results of this paper support the positive role of inquiry letter in improving market information efficiency. [ABSTRACT FROM AUTHOR]

Since 2005, China's outward foreign direct investment (OFDI) has increased year by year, which corresponds to the continuous decline of energy intensity. But there is limited literature concerning their relationship nowadays. To answer whether or not OFDI can reduce energy intensity, this paper selects data from 29 provinces in China from 2006 to 2015 and establishes a fixed-effects model to analyze the relationship. Further, this paper divides OFDI into technology-intensive ones and non-technology-intensive ones in order to distinguish the impact of outward foreign direct investment from different types of enterprises on the energy intensity. Combined with the micro-data of A-share listed companies in Shanghai and Shenzhen stock exchanges, we find that OFDI plays a significant role in reducing the energy intensity in China, and OFDI of high-technology-intensive enterprises has a greater effect on the decrease of energy intensity than that of low-technology-intensive enterprises. This paper classifies OFDI from the perspective of enterprise technology intensity, which enriches the existing research results in the field of international cooperation and energy intensity. It also overcomes the limitations of previous literature data and provides new evidence for encouraging high-tech enterprises to strengthen international cooperation from a micro level. [ABSTRACT FROM AUTHOR]

Purpose: This paper studies the effects of lottery preference on stock market participation at the macro level. Design/methodology/approach: The authors use the abnormal search volume intensity for lottery-related keywords from the Baidu search engine to capture retail investors' lottery preference. To measure stock market participation, they use five different macro-level measures from various angles. They perform the time series regression analysis in their empirical study. Findings: First, the validation tests show that the lottery preference index in this study is reasonable. Further, the authors find that lottery preference increases people's propensity to enter and trade in the stock market. Besides, they find that the effect on trading behavior is asymmetric, that is, high lottery preference has a more significant impact on trading behavior than low lottery preference. However, lottery preference has no significant effect on the stockholding. Originality/value: This paper contributes to the growing literature that examines the determinants of stock market participation and the role of lottery/gambling preference in the financial market. It also provides direct and novel evidence for Statman's (2002) conclusions about the similarity of lottery players and stock traders. [ABSTRACT FROM AUTHOR]

In this paper, the Mainland-Hong Kong Stock (MHKS) Connect Program is used as a quasi-natural experience to study the relationship between foreign institutional investors and environmental innovation. Using the sample of the Chinese mainland A-Share market industrial firms from 2012 to 2019 and Difference-In-Difference model, we find a promoting effect of the foreign institutional investors on the mainland firms' environmental innovation. The mediating effect tests prove that foreign institutional investors inspire environmental innovation through monitoring channel (supervising the environmental innovation), insurance channel (tolerating innovation failures) and knowledge spillover channel. It is noteworthy that only firms in the regions of high innovation capacity benefit from the knowledge spillover channel. Our study implies that environmental innovation can benefit from the opening-up of the stock market if it can attract foreign institutional investors who fulfill the roles of monitoring, insurance and knowledge spillover. [ABSTRACT FROM AUTHOR]

In the era of technological innovation, some companies own similar patent assets but capture different profits. The paper aims to explore whether and why there are different effects of patent assets on firm performance across industries. The listed corporations in the Growth Enterprises Market (GEM) of Shenzhen Stock Exchange, China, are taken as samples, which are categorised as three industries: the technology-intensive industry, capital-intensive industry, and labour-intensive industry, in light of the production factors. Moreover, the multiple stepwise regression and the fixed effects model are utilised. This paper highlights the effects of patent assets on firm performance are different across industries. Patent quality strongly influences firm performance in the technology-intensive industry, while patent count increases firm performance in the capital-intensive industry and labour-intensive industries. Notably, technological knowledge stock owned by companies plays a moderating role in influencing patent assets on firm performance in the technology-intensive industry. Our findings enrich the research on patent assets influencing financial performance from the industrial difference perspective and suggest that companies in different industries should take differentiated patent strategies to improve firm performance. [ABSTRACT FROM AUTHOR]

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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]

Purpose: This paper aims to examine the impact of corporate governance on corporate social responsibility (CSR) performance, paying particular attention to modern Chinese businesses. Particularly, it examines how ownership concentration, boards of directors and boards of supervisors affect the quality of CSR performance. Design/methodology/approach: This study employs the regression analysis using a sample from listed companies in Shanghai and Stock Exchanges covering 2014 until 2018. Findings: Using a sample of listed companies in Shanghai and Stock Exchanges, the empirical evidence, A-share listed companies between 2014 and 2018, this empirical investigation demonstrates that corporate governance does indeed have a significant effect on CSR. However, various types of corporate governance mechanisms have differing effects on CSR. The authors find that ownership concentration has a positive impact on CSR performance, while the size of a company's board of supervisors has a positive impact on CSR performance. By doing so, the authors provide practical implications to users, and regulatory authorities to make better decisions Originality/value: This paper contributes to the existing literature by examining the impact of corporate governance on a company's abilities to meet its CSR objectives in China. Much of the empirical studies on this issue are centred on the Western world, notably Western Europe and the USA. [ABSTRACT FROM AUTHOR]

Research background: In order to examine market uncertainty, the paper depicts broad patterns of risk and systematic exposure to global equity market shocks for the major South Asian and Chinese equity markets, as well as for specific assets (gold and Bitcoin). Purpose of the article: The purpose of this paper is to investigate the dynamic correlation among the major South Asian equity markets (India and Pakistan), the Chinese equity markets, the MSCI developed markets, Bitcoin, and gold markets. Methods: While applying the GARCH-Vine-Copula model and the TVP-VAR Connectedness approach, major patterns of dependency and interconnectedness between these markets are investigated. Findings & value added: We find that risk shocks from developed equity markets are critical in these dynamic links. A net return spillover from Bitcoin to the Chinese and Pakistani stock markets throughout the sample period is reported. Interestingly, gold can be applied to hedge and diversify positions in China and major South Asian markets, particularly following the COVID-19 outbreak. Our paper presents three main original add valued: (1) This paper adds global factors to the targeted study of risk transmission among South Asian and Chinese stock markets for the first time. (2)The assets of Bitcoin and gold were added to the study of risk transmission among South Asian and Chinese stock markets for the first time, enabling the research in this paper to observe the non-linear link among the South Asian and Chinese stock markets with them. (3) Our research adds to these lines of inquiry by giving empirical evidence on how COVID-19 altered the dependent structure and return spillover dynamics of Bitcoin, gold and South Asian and Chinese stock markets for the first time. Our results have critical implications for investors and policymakers to effectively understand the nature of market forces and develop risk-averse strategies. [ABSTRACT FROM AUTHOR]

New energy vehicle (NEV) policies have greatly promoted the growth of the NEV industry in China, while also attracting a lot of investor attention. Using Chinese NEV concept stocks and related industrial policies, including purchase tax incentives (PTI) and promotion and application (P&A) policies, issued from 2011 to 2020 as the research setting, this paper adopts a panel data model to examine the impact of policy announcement on the volatility of NEV concept stocks, as well as the mediating role of investor attention in transmitting the impact. We find that NEV P&A policies have a significant and positive impact on NEV concept stock volatility, while PTI policies do not have a significant impact. Moreover, investor attention plays a partial mediating role in transmitting the impact of P&A policies on NEV stock market by increasing the stock volatility risk. Furthermore, there is heterogeneous effect of equity ownership in the relationship between policy announcement and investor attention on the volatility of NEV concept stocks; non-state-owned firms are more sensitive to the NEV P&A policies than state-owned firms. By analyzing the relationship between policy announcement and concept stock volatility, this paper enriches the research on NEV concept stocks and provides policy implications for the NEV industry. [ABSTRACT FROM AUTHOR]

As the Environmental Protection Law was revised and media public opinion supervise them, enterprises need to not only undertake more environmental protection responsibilities but also alleviate the contradiction between development and environment. By applying a multiple regression model, this paper studies the impact of air pollution on the management behavior of enterprises using the panel data of China's A-share polluting enterprises listed in the Shanghai and Shenzhen stock markets between 2014 and 2019. The results of this study are as follows: First, air pollution produces a positive impact on the behavior of corporate green management. Second, media reports have brought more attention to corporate pollution and increased the positive impact of air pollution on corporate green management efforts. By further considering the internal and external heterogeneity of enterprises, the impact of air pollution on corporate green management varies when the degree of enterprise pollution and the degree of local governance differ. Moreover, this paper highlights the fact that air pollution can play a significant role in corporate green management, while media attention, as a third party, plays a regulating role in environmental supervision. This provides suggestions for strengthening green management behavior of enterprises and building comprehensive environmental supervision system. [ABSTRACT FROM AUTHOR]

This paper examines the dependence structure between oil futures with other major commodities including gold, copper, zinc, aluminium, rubber, corn, cotton and sugar in China. To this end, we apply the extreme value theory (EVT) and dynamic copula approach, which allows for measuring both average and tail dependence. Contrary to the findings in the literature on stock markets, this paper reveals significant right tail dependence rather than left tail dependence between oil futures and most of the other eight commodities. These findings provide a new insight regarding the behaviour of oil and other major commodities. This paper thus has some significant implications for investors, risk managers and policymakers. [ABSTRACT FROM AUTHOR]

Previous research in the area of using deep learning algorithms to forecast stock prices was focused on news headlines, company reports, and a mix of daily stock fundamentals, but few studies achieved excellent results. This study uses a convolutional neural network (CNN) to predict stock prices by considering a great amount of data, consisting of financial news headlines. We call our model N-CNN to distinguish it from a CNN. The main concept is to narrow the diversity of specific stock prices as they are impacted by news headlines, then horizontally expand the news headline data to a higher level for increased reliability. This model solves the problem that the number of news stories produced by a single stock does not meet the standard of previous research. In addition, we then use the number of news headlines for every stock on the China stock exchange as input to predict the probability of the highest next day stock price fluctuations. In the second half of this paper, we compare a traditional Long Short-Term Memory (LSTM) model for daily technical indicators with anLSTMmodel compensated by theN-CNN model. Experiments show that the final result obtained by the compensation formula can further reduce the root-mean-square error of LSTM. [ABSTRACT FROM AUTHOR]

This paper concerns an investigation on the multifractal features of liquidity in China's stock markets based on multifractal detrended fluctuation analysis, and an analysis on multifractal features of market liquidity and fractal degree by determining the generalized Hurst exponent. Also involved in this paper are the identification of the trended fluctuations by tendency entropy dimension and a study on the validity of the correct rate of identification by stochastic correct rate. The results show that the multifractal features of liquidity are obvious in China's stock markets and that the multifractal liquidity degree of the large-cap stock is lower than those of the medium and small-cap stocks. The trend entropy dimension can be used to identify the trend of liquidity effectively, serving as an effective method to identify the fluctuation trend of fractal market. [ABSTRACT FROM AUTHOR]

This paper establishes a predictive relationship between financial vulnerability and volatility in emerging stock markets. Focusing on China and India and utilizing GARCH-MIDAS models, we show that incorporating financial vulnerability can substantially improve the forecasting power of standard macroeconomic fundamentals (output growth, inflation and monetary policy interest rate) for stock market volatility. The findings have significant implications for investors to improve the accuracy of volatility forecasts. [ABSTRACT FROM AUTHOR]

China's green growth has shown a trend of fluctuation year by year. Simultaneously, Chinese local governments have pursued simple economic growth driven by the interests of "political competition" for a long time, while the supervision of the ecological environment has been loosened and tightened. In this environment, financial development and technological innovation may easily become the accelerator of this phenomenon, thus exacerbating the fluctuation of green growth. To deeply excavate the key factors to achieve stable and sustained growth of green economy, based on the annual panel data of 30 provinces in China from 2011 to 2018, this paper studies the impact of financial development and technological innovation on the volatility of green growth using dynamic system GMM method. The findings of this paper are shown as follows: First, the expansion of financial institutions' scale will significantly enhance the volatility of green growth. Second, the increase in the scale of the stock market will also significantly cause green growth fluctuations. Third, the interaction between financial development and technological innovation can significantly weaken the volatility of green growth. Fourth, financial development measured by stock market indicators is more efficient than financial development measured by financial institutions indicators to curb the volatility of green growth. Fifth, the fluctuation of green growth in the previous period will reduce the volatility of green growth in the current period. This study provides new evidence for exploring the power source to promote the stability and sustainable growth of the green economy in the special stage of financial and technological integration. Controlling the development scale of financial institutions and removing their state preferences, expanding the development of capital markets, and deepening the integration of financial development and technological innovation are conducive to achieve stable green growth. [ABSTRACT FROM AUTHOR]

There is a large volume of literature in international business on multinationality. There is an equally large volume of literature in finance on stock price crash risk. However, very few studies have attempted to provide a link between these two research areas. Using an unbalanced panel data consisting of 473 multinational corporations (MNCs) publicly listed in the Chinese stock markets during 2004 to 2020, this paper is one of the first to empirically investigate whether and to what extent multinationality affects stock price crash risk. The paper finds strong evidence that multinational operation is negatively related to stock price crash risk. In addition, MNCs with better corporate governance quality experience larger decline in stock price crash risk when the degree of multinationality increases. Furthermore, MNCs with higher stock market liquidity experience lower crash risk. An important implication is that companies should strengthen their corporate governance and market liquidity while "going global". [ABSTRACT FROM AUTHOR]

Economic policy uncertainty has been identified as a new macroeconomic risk factor that harms the stock market's profitability. This paper examines the impact of the Chinese EPU levels on one of the most famous financial anomalies—momentum returns. A new EPU index based on mainland China newspapers is used to obtain more accurate EPU–momentum relations. We selected 3958 Chinese listed companies' stocks from 2011 to 2022 to establish time-series (TSM) and returns signal momentum strategies (RSM). Although the momentum effect in the Chinese stock market is weak, the EPU-based dynamic-threshold RSM strategies yield significant positive excess returns: eight times more excess returns than conventional fixed-threshold strategies. We used the ordinary least squares regression model (OLS), and the event study method only identified robust negative EPU–momentum relationships in the Chinese stock market during high-EPU stages. Surprisingly, the negative relationship between EPU and momentum returns turns positive during expansion cycles. We explain this phenomenon as follows: expansions increase Chinese investors' confidence, and uncertainties reduce market manipulations. [ABSTRACT FROM AUTHOR]

Based on the special stock exchange comment letter system in China, this paper explores the relationship between the exchange tax-related comment letters and corporate tax avoidance behavior from the standpoint of securities regulation. We document that firms that engage in more aggressive tax avoidance are more likely to receive a tax-related exchange comment letter. Also, relative to firms receiving a non-tax-related comment letter, firms receiving a tax-related comment letter reduce their tax avoidance behaviors in subsequent years. Further study shows that the more the number of questions and the greater the level of detail in the comment letter, the stronger the effect of tax-related comment letters on corporate tax avoidance. After examining the sample with different degrees of political connection, we find that tax-related comment letters inhibit tax avoidance among state-owned enterprises and private enterprises with close political connections. Finally, the monitoring effect of comment letters on corporate tax avoidance is more pronounced in regions where tax administration is weak, suggesting that the comment letter system can be used as a complementary mechanism for tax administration. [ABSTRACT FROM AUTHOR]

Purpose: While the classic futures pricing tool works well for capital markets that are less affected by sentiment, it needs further modification in China's case as retail investors constitute a large portion of the Chinese stock market participants. Their expectations of the rate of return are prone to emotional swings. This paper, therefore, explores the role of investor sentiment in explaining futures basis changes via the channel of implied discount rates. Design/methodology/approach: Using Chinese equity market data from 2010 to 2019, the authors augment the cost-of-carry model for pricing stock index futures by incorporating the investor sentiment factor. This design allows us to estimate the basis in a better way that reflects the relationship between the underlying index price and its futures price. Findings: The authors find strong evidence that the measure of Chinese investor sentiment drives the abnormal fluctuations in the basis of China's stock index futures. Moreover, this driving force turns out to be much less prominent for large-cap stocks, liquid contracting frequencies, regulatory loosening periods and mature markets, further verifying the sentiment argument for basis mispricing. Originality/value: This study contributes to the literature by relying on investor sentiment measures to explain the persistent discount anomaly of index futures basis in China. This finding is of great importance for Chinese investors with the intention to implement arbitrage, hedging and speculation strategies. [ABSTRACT FROM AUTHOR]

The majority of insurance investment funds are derived from policy liability debt funds. It differs from other institutional investors in a number of ways, including investment size, horizon, duration, risk, and so on. However, only a small portion of the extant literature focuses on in-depth and extensive analysis of Insurance Institutional Investors' holdings (IIIs). This study analyses the impact of shareholding by insurance institutions on the value of Shanghai and Shenzhen A-share listed companies in China's capital market. The paper offers three major contributions. First, we discovered that long-term equity-holding IIIs have both value selection and value creation functions. Second, the value creation function becomes more significant among long-term stock-holding IIIs with an increase in the period during which they retain the company's shares; Third, fast-in and fast-out (FIFO) IIIs have a value-inhibiting effect on the held company and serve a value selection role, rather than a value creation function. This study provides more insight on the lack of academic interest in insurance institutions and serves as a foundation and reference for the design of regulatory policies for insurance institutions' involvement in stock markets. It also gives empirical evidence for corporations to accurately analyze shareholding by insurance institutions. Furthermore, since this study concentrates on China's capital market, it can serve as a benchmark for other nations, particularly, those designated as developing market economies. [ABSTRACT FROM AUTHOR]

The effect of financial development on carbon emissions is a hot topic. Although some researches study the heterogeneous impacts of financial development on carbon emissions at the country level, few paper has investigated their heterogeneous relations within the same country. This paper, applying geographically and temporally weighted regression (GTWR), studies the spatial–temporal heterogeneity of the impacts of financial development on carbon emissions across China's 30 provinces from 2003 to 2017. The results show that financial development proxied by bank credit indicators curbs carbon emissions in most provinces most of the time, while that proxied by stock market indicator exhibits nonlinear relationships in most provinces, such as U-shaped, inverse U-shaped, and inverse N-shaped. The paper concludes first that financial development proxied by different indicators may exert varied impacts on carbon emissions. Second, the impact of financial development on carbon emissions shows great heterogeneity among different provinces and different years: it may be curbing or increasing, and even it is curbing, its curbing effects differ greatly across provinces and years. Third, the impact of financial development on CO2 is not always monotonic; instead, it may be nonlinear. Regional segmentation of financial markets may explain the heterogeneity. Some policy suggestions are also given. [ABSTRACT FROM AUTHOR]

Long-run relationships and structural breaks have often been confused so that many investigators ignore the structural breaks in long-run stock price relationships. In this paper, we investigate the long-run relationships among stock prices in BRICS countries in a bivariate framework. We used a non-linear threshold cointegration test, which endogenously incorporates possible regime shift behaviors into the long-run relationships from 2004 to 2018. The Johansen cointegration test, the Gregory and Hansen cointegration test, and the Hatemi-J regime shift cointegration test, which allow for single and double structural breaks, were used. The principal finding of this paper confirms the presence of cointegration among the BRICS stock markets with two endogenous structural breaks. The study confirms that ignoring the presence of structural breaks in long-run series data can produce ambiguous results. It also confirms the absence of cointegration among these stock markets (Brazil and China, India and China, and China and South Africa) after two endogenous structural breaks. These empirical findings support conjecture on more than just the changes in the relationships between the BRICS stock markets. The disintegrated markets suggest the absence of arbitrage activity and vice versa. Thus, disintegrated markets mean that investors can obtain long-term gains through international portfolio diversification. While the benefit of the diversification is very limited in the long run, it is unlikely to be eliminated in practice. Hence, there is a possibility of obtaining an unusual profit in such a market, and consequently the assumptions of market efficiency could also be violated. [ABSTRACT FROM AUTHOR]

This paper studies the effect of structural oil price shocks on China's investor sentiment using the Bayesian inference structural vector autoregression (VAR) model by Baumeister and Hamilton (2019). We find that oil supply shocks followed by consumption demand shocks have positive and persistent effects on China's investor sentiment, whereas aggregate and inventory demand shocks have only temporary effects. The effects of these shocks are transmitted mainly by affecting investor's confidence in domestic economic fundamentals and the international economic environment. Furthermore, oil price shocks also induce different trading motivations in the stock market. [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]

This paper examines stock market integration between the five ASEAN countries and both the US and China in turn, over the period from November 2002 to August 2020. The linkages between both aggregate and financial sector stock indices (both weekly and monthly) are analyzed using fractional integration and fractional cointegration methods. Further, recursive cointegration analysis is carried out for the weekly series to study the impact of the 2007–8 global financial crisis and the 2015 China stock market crash on the pattern of stock market co-movement. The main findings are the following. All stock indices exhibit long-range dependence. There is cointegration between the five ASEAN countries and the US but almost none between the former and China, except between Indonesia and China in the case of the financial sector. The 2007–8 global financial crisis and the 2015 Chinese stock market plunge weakened the linkages between the ASEAN five and both China and the US. The implications of these results for market participants and policy makers are discussed. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the impact of intellectual capital (IC) and its components (human, structural and relational capitals) on the performance of manufacturing listed companies in China. This paper also investigates the impacts of company ownership, industry attributes and region on the IC-performance relationship. Design/methodology/approach: The study uses the data of 953 manufacturing companies listed on the Shanghai and Shenzhen Stock Exchanges over the period 2012–2016. The modified value-added intellectual coefficient (MVAIC) model is applied to measure IC efficiency. Finally, multiple regression analysis is employed to test the research hypotheses. Findings: This study reveals that IC can enhance firm performance in China's manufacturing sector. Overall, earnings are affected by physical capital, human capital (HC) and structural capital (SC), and profitability and productivity are influenced by physical capital, HC, SC and relational capital. Physical capital is the most influential contributor to firm performance. In addition, state-owned enterprises have a greater impact of IC on firm performance than private-owned enterprises; high-tech manufacturing companies have higher IC performance than non-high-tech manufacturing companies; manufacturing companies in China's eastern region have higher IC performance than the counterparts in central and western regions. Practical implications: The findings may help managers, stakeholders and policymakers in developing countries to effectively and efficiently manage their IC resources. Originality/value: This is the first study to evaluate IC and its relationship with firm performance among Chinese manufacturing listed companies using the MVAIC model. [ABSTRACT FROM AUTHOR]

Purpose: The paper analyzes downside and upside risk spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic. Design/methodology/approach: By using VAR-ADCC models and conditional value at risk (CoVaR) techniques, downside and upside risk spillovers between stock markets of G7 countries and China are analyzed before and during the COVID-19 pandemic. Findings: The results suggested existence of a significant and asymmetrical two-way risk transmission between majority of pair markets, but the degree of asymmetry differs according to the use of the entire cumulative distributions or distribution tails. Downside and upside risk spillovers are significantly larger before the COVID-19 pandemic in all cases except between CAC 40/DAX and S&P/SSE pairs. Originality/value: The paper used CoVaR and delta-CoVaR to investigate the downside and upside spillovers between stock markets of G7 countries and China before and during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the impact of economic policy uncertainty (EPU) on the conditional dependence between China and U.S. stock markets by employing the Copula-mixed-data sampling (Copula-MIDAS) framework. In the case of EPU, we consider the global EPU (GEPU), the American EPU (AEPU), and the China EPU (CEPU). The empirical analysis based on the Shanghai Stock Exchange Composite (SSEC) index in China and the S&P 500 index in the U.S. shows that the tail dependence between China and U.S. stock markets is symmetrical, and the t Copula outperforms alternative Copulas in terms of in-sample goodness of fit. In particular, we find that the t Copula-MIDAS model with EPU dominates the traditional time-varying t Copula in terms of in-sample fitting. Moreover, we observe that both the GEPU and AEPU have a significantly positive impact on the conditional dependence between China and U.S. stock markets, whereas CEPU has no significant impact. The tail dependence between China and U.S. stock markets exhibits an increasing trend, particularly in the recent years. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to examine how the political career concerns of top executives affect corporate environmental practices. Design/methodology/approach: Based on rent-seeking theory, this work uses empirical analysis to investigate the impact of top executives' political connection and political promotion on corporate environmental information disclosure (EID). Data were collected from Chinese listed firms in heavily polluting industries in the Shanghai Stock Market in 2014–2016. Findings: The results reveal that the highly politically connected top executives are more likely to be promoted in their political positions than their counterparts. However, the firms under the management of these highly politically connected executives show low level of EID. The results suggest that the political motivations of top executives with political connection hinders corporate EID. Originality/value: This paper extends literature system about the impact of executives' rent-seeking on corporate EID by examining the informal mechanisms in terms of political connection and political promotion. It provides insights for studies of corporate environmental strategies and governmental environmental responsibility. [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]

This paper analyzes the marketization of trading behaviors from the view of stock indexes. While the samples include the stock markets of U.S., China and Taiwan, the comparisons are difficult to measure when the stock indices inflect the specific national and investing environments. Using Z-score transformation procedures, the comparisons with the aim of investigating the population distribution show that the U.S. and China stock markets have the same marketization of the investing risk when they are from the double exponential distribution with the same variance. Evidence from the Taiwan stock market suggests that the effects of government inventions still exist and distort the marketization even though the Taiwan stock index has transformed as Z-score values. [ABSTRACT FROM AUTHOR]

The lead-lag relationship between stocks is an interesting phenomenon, which has been empirically seen to widely exist in stock markets. This paper aims to discover the dynamic patterns of the daily lead-lag relationships between stock pairs, to detect the features of the discovered dynamic patterns, and to explore which factors significantly affect the emergence of the feature. To this end, a series of statistical analyses is conducted to find that the (longest) successive lead-lag days satisfy a power-law distribution in the two mainland stock markets in China, which answers the question regarding the dynamic pattern. Note that the heavy tail of the power-law distribution is the core of the discovered dynamic pattern. A formal and solid definition of the lead-lag effect is provided by statistical testing, and then the corresponding detection method is designed and applied to obtain the heavy tail. Finally, an empirical study of the detected stocks with lead-lag effect is further conducted via an exponential random graph model (ERGM). Our work adds new knowledge to the lead-lag phenomenon in the financial domain, provides a formal definition of the lead-lag effect and proposes a new detection method benefiting future studies on the lead-lag relationship in financial markets. It further contributes to the existing relevant literature by a deep understanding of which factors cause the emergence of the power-law distribution discovered. [ABSTRACT FROM AUTHOR]

This paper proposes a portfolio selection model from the perspective of probabilistic hesitant financial data (PHFD). PHFD can be interpreted as the new form of information presentation that is obtained by transforming real financial data into probabilistic hesitant fuzzy elements. Based on the above data and model, we can derive the optimal investment ratios and give suggestions for investors. Specifically, this paper first develops a transformation algorithm to transform the general share returns into PHFD. The transformed data can directly show all the returns and their occurrence probabilities. Then, the portfolio selection and risk portfolio selection models based on PHFD, namely the probabilistic hesitant portfolio selection (PHPS) model and the risk probabilistic hesitant portfolio selection (RPHPS) model, are proposed. Furthermore, the investment decision-making methods are provided to show their practical application in financial markets. It is pointed out that the PHPS model for general investors is constructed based on the maximum-score or minimum-deviation principles to get the optimal investment ratios, and the RPHPS model provides the optimal investment ratios for three types of risk investors with the aim of obtaining the maximum return or taking the minimum risk. Finally, an empirical study based on the real data of China's stock markets is shown in detail. The results verify the effectiveness and practicability of the proposed methods. [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]

This paper proposes the nonnegative adaptive elastic-net for simultaneous nonnegative estimation and variable selection in sparse high-dimensional linear regression models. By inheriting the good features of adaptive elastic-net, the nonnegative adaptive elastic-net enjoys the oracle property even in high-dimensional settings where the dimension of covariates can be much larger than the sample size. Through the simulation, we show that the newly proposed method deals with the collinearity problem better than alternative procedures in the literature. To make the proposed method practically feasible, we extend the multiplicative updates algorithm for implementation. Finally, we illustrate the favorable finite-sample performance of the proposed method through tracking the CSI 300 index, an important stock market index in China. [ABSTRACT FROM AUTHOR]

This paper proposes a factor timing strategy with information from 146 characteristic‐based factors and a deep learning approach to capture the nonlinear predictability. The deep learning‐based factor timing strategy generates the highest economic value compared with the unconditional and alternative linear machine learning‐based portfolios and remains robust after controlling for traditional factor models and transaction costs. With the unique market structure of the Chinese stock market, we find that mispricing‐based theory helps explain the factor timing via deep learning. [ABSTRACT FROM AUTHOR]

In this paper, we examine the effect of multiple large shareholders (MLS) on financial reporting quality. Using a sample of Chinese listed firms over the period 2007–2018, we find that firms with MLS tend to have lower financial reporting quality. Our findings are robust to an array of robustness tests, including controlling for possible omitted variables, a Heckman two‐step sample selection model, and a difference‐in‐differences analysis based on a propensity score matched sample. We further show that the effect of MLS on financial reporting quality is attenuated for firms followed by more analysts, cross‐listed on the Hong Kong Stock Exchange, and held by institutional blockholders. Finally, we find that agency problems appear to be the possible underlying mechanisms through which MLS lower financial reporting quality. [ABSTRACT FROM AUTHOR]

Purpose: The Global recession of 2008 was the worst financial crisis in the postworld war economic history that brought in severe disruptions in global investments and capital flows. Not surprisingly, research interest in the field of market integration has considerably increased over the last decade. This paper analyses the dynamics of price integration among Asian financial markets during the postfinancial crisis period. Design/methodology/approach: We employ an Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration and a Granger Causality/Block Exogeniety test from a Vector Error Correction Model (VECM) on monthly stock index data of five leading Asian economies from April 2009 to March 2020. Findings: The cointegration results could not produce any conclusive evidence of long-run relations between stock markets. There exists weak price convergence among markets, and financial integration is partial and in an imperfect form. Research limitations/implications: Stock price performance in China is closely "coupled" with that in India, but both markets appear to be the short-run predictors of Asian stock returns. The research uses only the benchmark stock indices of the selected economies. Consideration of mid-cap and small-cap segments where foreign investments are significant today can validate the findings further. Practical implications: The asymmetric pattern of price behavior of Asian markets has important implications for the pricing efficiency of national markets and offers arbitrage potentials for global investors to optimize returns through market diversifications on a long-term perspective. The finding definitely will be a great help to investors who are potentially interested in a trading strategy that offers greater returns with limited exposure to market risks. Originality/value: Compared with previous studies, the research uses the most recent data of leading Asian markets and applies the robust method of ARDL Bounds testing approach that allows us to understand better if the economic recoveries and advancement have had an effect on market coupling and stock price transmissions. [ABSTRACT FROM AUTHOR]

Limited attention is an inevitable outcome of voluminous information. Investors facing a large number of stocks can only focus on a few and endeavor to have access to in-depth knowledge. Since the retrieved knowledge would affect investors' decisions, investor attention becomes a factor in affecting stock returns and trading volumes. Through using 890,840 firm-week observations of Chinese listed firms between 2011 and 2018 as a sample, we document that investor attention, measured by abnormal Baidu search volume index (ASVI), is positively associated with contemporaneous stock returns but with a complete reversal in the subsequent period; and ASVI exhibits a positive link with trading volumes without a subsequent reversal, but its predictable ability becomes weaker in subsequent weeks. The effect of ASVI is pronounced for the ChiNext market and firms with higher level of financial transparency. We further find investor attention has been driven by five corporate events including earnings announcements, management forecasts, financial analysts following, mergers and acquisitions and dividend payout. This paper contributes to the theory of limited attention through using a direct measure of attention, providing evidence on its economic consequences in the Chinese stock market and exploring specific events that drive investor attention. [ABSTRACT FROM AUTHOR]

Intraday range (the difference between intraday high and low prices) is often used to measure volatility, which has proven to be a more efficient volatility estimator than the return-based one. Meanwhile, a growing body of studies has found that economic policy uncertainty (EPU) has important impact on stock market volatility. In this paper, building on the range-based volatility model, namely, the conditional autoregressive range (CARR) model, we introduce the CARR-mixed-data sampling (CARR-MIDAS) model framework by considering intraday information to investigate the impact of EPU on the volatility of Chinese stock market and to explore the predictive ability of EPU for Chinese stock market. The empirical results show that both the China EPU (CEPU) and global EPU (GEPU) have a significantly negative effect on the long-run volatility of Chinese stock market. Furthermore, we find that taking into account the CEPU and GEPU leads to substantial improvement in the ability to forecast the volatility of Chinese stock market. We also find that the CEPU provides superior volatility forecasts compared to the GEPU. Our findings are robust to different forecasting windows. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to explore how the price limit policy implemented in 2014 affects initial public offering (IPO) underpricing and long-term performance in China. Design/methodology/approach: The data are the IPOs from Shanghai Stock Exchange (SSE) and Shenzhen Stock Exchange (SZSE) between 2004 and 2018. The data are firstly divided into the IPOs before the price limit policy and the IPOs after the price limit policy according to the time of issuance. Then the two groups are divided into 4 subsamples according to the market blocks and the P/E ratio. The authors use multiple regression models to explore the effect of price limit policy in each subsample. Findings: The first-day price limit system for IPOs is similar to the upward fuse mechanism, the purpose of which is to suppress IPO underpricing. However, this study finds that the policy does not suppress IPO underpricing, but increases the underpricing rate in all subsamples. Besides, the long-term performance in each subsample is different from each other. Main Board stocks' long-term performance is worse after the policy. The policy makes Small and Medium Enterprise Board (SME Board) and Growth Enterprise Market Board (GEM Board) stocks with high P/E ratios perform better in the long term. For SME Board and GEM Board stocks with low P/E ratios, the policy makes no significant effect. Practical implications: Good policy intentions may sometimes lead to counterproductive effects. However, since the long-term performance of each subsample is different, it is difficult to judge whether the policy should continue to be implemented or cancelled. Implementing different policies for different subsamples may be a better way to solve this problem. Originality/value: This paper contributes to the study of IPO underpricing and long-term performance from the perspective of price limit policy. [ABSTRACT FROM AUTHOR]

The paper examines the impact of underestimation in financial literacy on financial market participation in the largest emerging market, China. Using 3496 China Family Panel Studies (CFPS) 2014 nationally representative data, we find that underestimation in financial literacy negatively influences respondents' financial market participation, while overestimation has no significant effect on it. The result is robust when alternative measures of underestimation or CFPS 2016 data are used. Moreover, we also find that the impact of underestimation is heterogeneous. It has a greater impact on high-income, risk-taking residents and those living in more economically developed areas, while social interaction can alleviate the negative effect of underestimation. Furthermore, underestimation greatly affects the risky financial market participation, particularly the stock market. Our findings suggest that residents do not only need to have great financial literacy, but also need to have the right perception of it to participate in financial markets. [ABSTRACT FROM AUTHOR]