Zhenming Fang , Ruijiang Li , David Smith , Jing Liao
{"title":"Does shadow banking regulation constrain the idiosyncratic risk of firms? evidence from a quasi-natural experiment in China","authors":"Zhenming Fang , Ruijiang Li , David Smith , Jing Liao","doi":"10.1016/j.ribaf.2025.102926","DOIUrl":"10.1016/j.ribaf.2025.102926","url":null,"abstract":"<div><div>We explore whether tighter regulation of shadow banking improves finance market pricing efficiency by examining the regulation’s impact on idiosyncratic risk. Using the implementation of China’s New Asset Management Regulation, a strict regulatory policy targeting shadow banking activities, as an exogenous shock, we find that listed firms’ idiosyncratic risk significantly decreased after the policy’s issuance. Our findings remain consistent after applying a series of robustness tests and endogeneity checks. Mechanism analysis shows that the policy improved the listed firms’ information disclosure quality. Heterogeneity tests reveal that the policy’s effect is more pronounced in firms with poorer corporate governance, weaker external supervision, and firms with lower market value. This paper enriches empirical evidence on the microeconomic consequences of shadow banking activities and offers some policy implications for shadow banking regulation.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102926"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Green credit policy and its friction: Evidence from corporate asset structure adjustments","authors":"Yaxin Bai , Zehao Wang , Xiaowei Sun","doi":"10.1016/j.ribaf.2025.102936","DOIUrl":"10.1016/j.ribaf.2025.102936","url":null,"abstract":"<div><div>This study investigates the challenges influencing the effectiveness of green credit policy, with a focus on corporate asset structure adjustments. Our findings reveal that the green credit policy significantly decelerates the adjustment speed of asset structure in heavily polluting firms, which indicates a substantial inhibitory effect of green credit policy on the asset allocation efficiency. Furthermore, the green credit policy does lead to a reduction in pollution emissions, while the sluggish adjustment speed of corporate asset structure hampers its effectiveness in emission reduction. Mechanism analysis suggests that the inhibitory effect of green credit policy on the dynamic adjustment of corporate asset structure is primarily attributed to both the lack of adjustment opportunity and adjustment motivation. Additionally, heterogeneity analysis indicates that this inhibitory effect is more prominent in state-owned enterprises, firms located in regions with higher financial development levels and more stringent environmental regulations. This study advances the green finance and asset allocation efficiency literature by examining the impact of green credit policy on the dynamic adjustment of corporate asset structure. It highlights the policy’s unintended friction in heavily polluting firms, demonstrating that while green credit policies reduce pollution, they hinder the efficiency of asset structure adjustments. Overall, this study offers practical implications for policymakers seeking to design balanced strategies that harmonize environmental objectives with corporate financial sustainability.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102936"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144107378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New paths of the time-varying Granger-causality test under extreme shocks: An analysis of geopolitical risk and crude oil markets","authors":"Yanran Hong , Xiaozhu Guo , Chunlan Zhao","doi":"10.1016/j.ribaf.2025.102994","DOIUrl":"10.1016/j.ribaf.2025.102994","url":null,"abstract":"<div><div>Motivated by the significant market disruptions caused by recent geopolitical crises and natural disasters, we develop an extreme time-varying Granger-causality test. This approach integrates the recursive evolution window algorithm into the Granger-causality test framework under a data-driven environment, which enables us to uncover dynamic causal differences between extreme and nonextreme financial conditions. Specifically, we apply this novel method to comprehensively investigate the dynamic impact of geopolitical risk on the crude oil market. The empirical analysis not only reveals that extreme geopolitical risk shocks drive the price of the crude oil market in a dynamic manner but also reveals the asymmetric and nonlinear characteristics of these impacts. The degrees and durations of such impacts vary significantly across different periods of geopolitical risk. To ensure the reliability of our findings, we conduct a series of robustness tests, and all the considerations verify the stability of the novel method. Thus, our work contributes to a better understanding of the real-time impact of geopolitical risk on the crude oil market, especially under extreme shock scenarios. The insights provided herein may offer valuable reference for decision-makers to formulate energy-related policies, devise business strategies and make investment decisions.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102994"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144123561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The market power of ESG index providers: The effects of rebalancing ESG-themed indices","authors":"Roberto Barontini, Luigi Gioja","doi":"10.1016/j.ribaf.2025.102902","DOIUrl":"10.1016/j.ribaf.2025.102902","url":null,"abstract":"<div><div>This paper examines market reactions to changes in the composition of 11 MSCI ESG indices over the period 2011–2021. The results highlight the market power of ESG index providers. In summary, revisions to an index typically induce abnormal returns and abnormal trading volume, which are generally related to significant ownership changes. Abnormal trading volume is detected on the day of the effective change in the composition of the index. This is consistent with strong portfolio rebalancing. However, statistically significant abnormal returns can still be found after 30 days, especially for excluded firms. This demonstrates that composition changes can have a permanent impact on market value. Additionally, the impact is stronger in emerging markets and for heavy-polluting firms and has been more pronounced since the signing of the Paris Agreement in 2016. Both long-term and short-term institutional investors increase (reduce) their ownership in admitted (excluded) firms after the change, while strategic investors will look to reduce their equity stakes before the exclusion and then increase them once the index has been rebalanced.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102902"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shadow banking, macroprudential policy and banks’ systemic risk","authors":"Min Huang , Hai Jiang","doi":"10.1016/j.ribaf.2025.102950","DOIUrl":"10.1016/j.ribaf.2025.102950","url":null,"abstract":"<div><div>This paper examines the influence of shadow banking on systemic risk using quarterly data on 34 Chinese listed banks from 2009 to 2022. We find that banks involved in shadow banking increase bank-specific tail risk and systemic linkage, thereby amplifying systemic risk. Heterogeneity test results show that national banks involved in shadow banking significantly increase bank-specific tail risk, systemic linkage and systemic risk, while regional banks decrease bank-specific tail risk and systemic risk. Policy effect analysis suggests that implementation of macroprudential policies reduce bank-specific tail risk and systemic risk caused by shadow banking, while macroprudential policies targeting borrowers would enhance systemic linkage. Despite contractionary monetary policies strengthening systemic linkage, tight quantity-based monetary policies could mitigate the impact of shadow banking on systemic risk, whereas tight price-based monetary policies have the opposite effect. Furthermore, market competition and the New Asset Management Regulations (NAMR) might influence the relationship between shadow banking and systemic risk.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102950"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143950452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Artificial intelligence and green innovation: Investigating the effects of executive pay and firm age","authors":"Jinfei Zhang","doi":"10.1016/j.ribaf.2025.102953","DOIUrl":"10.1016/j.ribaf.2025.102953","url":null,"abstract":"<div><div>In the era of global sustainability, corporate green innovation is pivotal to achieving long-term competitiveness. This study explores how artificial intelligence (AI) applications influence firms' green innovation, emphasizing the moderating roles of executive annual salary and firm age. Using panel data from Chinese listed companies (2012–2023), this research uncovers three key findings: (1) AI applications significantly enhance green innovation, demonstrating sustained effects over time; (2) executive incentives, reflected in annual salary, amplify AI's positive impact through strategic decision-making; and (3) firm age moderates AI's effect linearly, with older firms displaying heightened adaptability in leveraging AI for green innovation. This research bridges critical gaps by integrating micro-governance factors and firm lifecycle attributes into the AI–green innovation framework. The findings offer actionable insights for optimizing AI strategies, designing effective executive compensation systems, and tailoring firm-specific innovation policies. This study contributes to the intersection of AI, corporate governance, and sustainable development, offering fresh empirical evidence and practical implications for policymakers and business leaders aiming to foster green innovation in the digital economy.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102953"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wenhua Liu , Bohong Sun , Lili Zhao , Pingheng Zhu
{"title":"Does common ownership affect stock price synchronicity?","authors":"Wenhua Liu , Bohong Sun , Lili Zhao , Pingheng Zhu","doi":"10.1016/j.ribaf.2025.102945","DOIUrl":"10.1016/j.ribaf.2025.102945","url":null,"abstract":"<div><div>The study explores the impact of common ownership on stock price synchronicity. As an increasingly widespread phenomenon in the capital market, we have demonstrated that common ownership can enhance corporate stock price synchronicity. The mechanistic analysis confirms that common ownership promotes stock price synchronization by increasing information disclosure. In addition, we provide evidence that this effect of common ownership is significant only when common institutional investors are predominantly long-term investors and have a greater information advantage. Last, the positive relationship between common ownership and stock price synchronicity is more pronounced when the corporate has more noise trading and disclosure costs. Overall, our study supplies fresh insight into the economic consequences of co-ownership in stock markets, providing a theoretical foundation for regulators to refine guidance for institutional investors and optimize the noise-driven trading environment in emerging markets.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102945"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How investors’ ChatGPT attention influence stock market? A liquidity perspective","authors":"Xiaoyu Li , Shuyang Jia , Fujing Xue , Nan Hu","doi":"10.1016/j.ribaf.2025.102939","DOIUrl":"10.1016/j.ribaf.2025.102939","url":null,"abstract":"<div><div>ChatGPT has garnered immense popularity due to its remarkable language proficiency, enabling lifelike conversations and technically advanced responses. This study investigates whether and how investors’ attention to ChatGPT impacts stock liquidity in the financial market. We use the GPT-related questions posted by investors on Chinese Investor Interactive Platforms (IIPs) as a proxy for investors’ attention to a firm’s ChatGPT usage. Utilizing a dataset comprising 206,741 Chinese firm-date observations, we find that firm-level investors’ attention to ChatGPT increases the stock liquidity. This is driven by the decreased information asymmetry and increased probabilities of ChatGPT application among investors. Moreover, the effect is more pronounced for firms with limited AI disclosure, lower financial transparency, fewer analyst coverage, and lower institutional ownership.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102939"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hierarchical clustering-based early warning model for predicting bank failures: Insights from Ghana's financial sector reforms (2017–2019)","authors":"Natalia Owoo, Jones Odei-Mensah","doi":"10.1016/j.ribaf.2025.102944","DOIUrl":"10.1016/j.ribaf.2025.102944","url":null,"abstract":"<div><div>Between 2017 and 2019, Ghana experienced extensive financial sector reform in response to a banking sector crisis which led to the revocation of licenses for numerous banks and lower-tier institutions, and substantial financial losses. This study identifies factors that led to the collapse of these institutions as part of an early warning model (EWM) to identify weak institutions which are likely to fail. Employing hierarchical clustering, an underutilised unsupervised exploratory technique, we identify common explanatory variables that distinguished failed banks from their surviving counterparts. Our analysis underscores the significance of earnings and profitability indicators in effectively differentiating failed banks, surpassing other traditional CAMEL and diversification metrics.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102944"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiang Tu , Limei Zuo , Anran Liang , Ye Yao , Diyi Liu
{"title":"Does ESG rating divergence decrease enterprise productivity? Evidence from China","authors":"Qiang Tu , Limei Zuo , Anran Liang , Ye Yao , Diyi Liu","doi":"10.1016/j.ribaf.2025.102967","DOIUrl":"10.1016/j.ribaf.2025.102967","url":null,"abstract":"<div><div>This study explores the impact of ESG rating divergence on enterprise productivity by analyzing a panel dataset of 1024 A-share listed companies in China from 2015 to 2022. The results reveal that ESG rating divergence significantly reduces enterprise productivity by increasing financing constraints and costs, with a more pronounced effect on low-carbon, small-sized, and state-owned firms. Furthermore, variables such as R&D expenditure, internal governance, environmental regulations, and media attention are found to moderate this relationship. The study provides valuable insights for governments in formulating and implementing ESG-related policies.</div></div>","PeriodicalId":51430,"journal":{"name":"Research in International Business and Finance","volume":"77 ","pages":"Article 102967"},"PeriodicalIF":6.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144154876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}