Purpose This study aims to inform prospective listing firms, investors and regulators of the unique drivers of Chinese initial public offering (IPO) pricing on the Hong Kong Exchange. Design/methodology/approach Using a hand-collected IPO dataset, we investigate whether information uncertainty or investor exuberance drives underpricing and Chinese IPOs’ performance from 2002 to 2015, including 114 state-owned enterprises (SOEs). Findings Contrasting with the “listing bubble” in the China domestic stock market, generated by the overoptimism of retail investors, we highlight a “placing bubble” among Chinese firms listed in Hong Kong. This is driven by institutional investors’ buoyant demand for Chinese IPO shares, particularly those of SOEs. Chinese listing firms employ discreet earnings management strategies with their working capital accounts to smooth pre-IPO earnings, which becomes apparent to the market only in the long term. Originality/value This study is the first to examine the pricing of sought-after Chinese IPOs among international investors, who face various restrictions when investing in the Chinese domestic stock market. Additionally, it is the first study to measure earnings management using hand-collected pre-IPO data in IPO underpricing studies.

Purpose This study investigates whether Chinese local governments’ environmental attention can mitigate corporate “greenwashing”, focusing on the extent of environmental content in annual government work reports as indicative of government environmental attention. This study aims to determine whether enterprises respond to changes in local governmental attention by improving the quality of their environmental information disclosures. Design/methodology/approach Data from China’s A-share listed companies spanning 2013–2021 were sourced from the CSMAR database and company annual reports. Environmental attention data were manually gathered from local government work reports published on official local government websites by using text analysis methods. These datasets were analyzed empirically to assess the impact of local governments’ environmental attention on corporate greenwashing behavior. Findings Results show that increased governmental environmental attention significantly reduces corporate greenwashing behavior by alleviating corporate financing constraints, enhancing independent engagement in environmental initiatives and bolstering stakeholder oversight. Moreover, heterogeneity analysis indicates that the influence of government environmental concerns is pronounced in non-state-owned enterprises, firms with subpar audit quality and those exhibiting myopic management tendencies. Originality/value This study enriches the existing literature on the government–business nexus. It also introduces methodological innovations by employing a lexical analysis of environmental themes in local government work reports instead of using typical event study approaches. Furthermore, it uses a mediating effect model to identify the mechanisms through which government environmental attention influences corporate greenwashing, namely, government subsidies, corporate environmental initiatives and external stakeholder oversight.

Purpose While the existing literature lacks a holistic approach to determining credit spreads and is limited to mostly developed countries, this study investigates credit spread determinants and their cross-country connectedness in the context of four emerging economies in Asia by incorporating bonds, market risk, macroeconomic and global factors. Design/methodology/approach This study utilizes principal component analysis for dimensionality reduction and variable representation. Furthermore, we employ the dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity model to capture the cross-country credit spread connectedness between the variables. Findings The findings indicate that market volatilities are the most significant drivers of credit spreads, while global factors play a moderating role. Furthermore, the results provide compelling evidence of cross-country credit spread connectedness, with China as the primary transmitter and Malaysia as the primary receiver among the selected emerging economies. Originality/value This study addresses the limitations of previous research by extending the analysis beyond the commonly studied developed economies and focusing on emerging economies in Asia. It also employs a comprehensive approach to determine credit spread and explores cross-country credit spread connectedness in developing economies, thereby shedding light on financial risks and vulnerabilities within interconnected global financial systems.

Purpose By extending Edmans et al.’s (2021) music sentiment measures to the Vietnam market, the authors aim to investigate the impacts of music sentiment on stock market returns and volatility. Design/methodology/approach The authors adopted Edmans et al.’s (2021) music-based sentiment to proxy for investor mood. The current study uses linear regression analysis. Findings The authors find that music sentiment is significantly and positively related to both stock returns and stock market volatility. The authors also show that music sentiment has a contagious effect: Global music sentiment and those in the United States, France and Hong Kong are significant drivers of the Vietnamese stock market. The authors also examine the effect on different industry returns and find that returns on stocks of firms in the communication services, consumer discretionary, consumer staples, energy, financials, healthcare, real-estate, information technology and utility sectors are significantly related to music sentiment. In addition to valence, the authors find that other Spotify audio features can be used to quantify music sentiment. Originality/value This study contributes to the behavioral finance literature that focuses on investor sentiment. The authors address this topic in Vietnam using high-frequency data.

Purpose Expected returns and risk are critical variables in financial analysis. This study demonstrates that investors’ perceptions of these factors are shaped not only by fundamental economic variables, as traditional finance suggests but also by psychological states such as distress and mood. Design/methodology/approach Data from Thai investors were collected through an online survey. We used regression and logistic regression to test the hypotheses. Findings Positive moods increase perceptions of expected returns and risk, while negative moods reduce these perceptions. Higher depression levels negatively impact investors’ perceptions of expected risk. Investors’ mood intensity, especially negative moods and higher depression levels, negatively impacts risk perception in the short term. Additionally, negative moods decrease the likelihood of optimism toward risk perception in the long term. Practical implications Financial advisors and investment firms can enhance their services by integrating psychological assessments into their client evaluations. Such assessments must be handled with great care, ensuring that clients give explicit consent and that their psychological data are protected in accordance with ethical standards. This approach allows for a deeper understanding of clients’ emotional and psychological states, leading to more personalized investment strategies. Additionally, investment firms can develop tailored products that address investors’ emotional and psychological needs, promoting more balanced decision-making and improving overall satisfaction. Originality/value We assess perceptions of expected returns and risk by collecting data directly from investors. We also evaluate investors’ psychological traits and moods with widely recognized psychological tools, including the Patient Health Questionnaire-9 and the Positive and Negative Affect Schedule.