{"title":"Global FOMO: The pulse of financial markets worldwide","authors":"Yosef Bonaparte","doi":"10.1016/j.frl.2025.107920","DOIUrl":"10.1016/j.frl.2025.107920","url":null,"abstract":"<div><div>We introduce the Global Fear of Missing Out (FOMO) Index, a monthly sentiment measure built from Google Trends data, capturing a persistent psychological force driving global financial markets. The index exhibits high persistence and a robust inverse relationship. To contextualize the economic magnitude of our findings, we clarify that a 10 % increase in the Global FOMO Index is associated with a 1.7 %–2.0 % decline in monthly stock returns, a 2.02 %–2.1 % drop in realized volatility, and a 4 % reduction in the Sharpe ratio. These impacts are amplified in democratic countries, underscoring a political dimension. The Global FOMO Index thus emerges as a novel sentiment metric, explaining cross-country and time-series variation in market dynamics and offering fresh insights into the interplay of psychology, politics, and finance.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107920"},"PeriodicalIF":7.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613145","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}
Qiguang An , Yongkai Wang , Feini Liu , Ruoyu Wang
{"title":"Does the integration of digital and real economies enhance corporate supply chain resilience? Evidence from China’s listed firms","authors":"Qiguang An , Yongkai Wang , Feini Liu , Ruoyu Wang","doi":"10.1016/j.frl.2025.107953","DOIUrl":"10.1016/j.frl.2025.107953","url":null,"abstract":"<div><div>Enhancing corporate supply chain resilience (CSCR) through digital technologies is vital for building a modern industrial system. This study examines whether the integration of digital and real economies (IDRE) strengthens CSCR, drawing on panel data from Chinese listed firms from 2011 to 2022. The empirical results indicate that IDRE significantly improves CSCR, with robust effects across multiple dimensions—resistance, recovery, and creativity. Mechanism analysis suggests that digital transformation, technological innovation, and improved internal control are key channels through which IDRE promotes CSCR. Heterogeneity analysis further reveals that the positive impact of IDRE is more pronounced among non-state-owned enterprises, smaller firms, and those located in regions with more developed financial systems. These findings provide timely empirical evidence to inform strategies for fostering supply chain resilience in the digital era.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107953"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632695","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}
Mohammad Bitar , Hassan Obeid , Imane El Ouadghiri , Jonathan Peillex
{"title":"Can CSR in banking reduce corruption?","authors":"Mohammad Bitar , Hassan Obeid , Imane El Ouadghiri , Jonathan Peillex","doi":"10.1016/j.frl.2025.107939","DOIUrl":"10.1016/j.frl.2025.107939","url":null,"abstract":"<div><div>This study examines the impact of bank involvement in corporate social responsibility (CSR) on corruption. Using a sample of banks from 40 countries, the results show that CSR initiatives significantly reduce corruption, with consistent findings across tests. Mechanism analysis reveals that CSR mitigates corruption by strengthening regulatory frameworks, improving stakeholder protection, diversifying resources, and enhancing transparency. These findings emphasize the importance of integrating CSR into banking strategies and regulatory requirements to address social and environmental priorities and combat corruption.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107939"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596881","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 adoption and corporate financial risk","authors":"Shuai Liu, Lihui Gao, Mengzhu Chen","doi":"10.1016/j.frl.2025.107938","DOIUrl":"10.1016/j.frl.2025.107938","url":null,"abstract":"<div><div>Artificial intelligence (AI) is a critical driver of competitive advantage. Using data from China’s A-share listed companies (2010–2022), this study finds that AI adoption significantly reduces corporate financial risk through structural, resource-based, and technological channels—especially in nonhigh-tech firms and industries with lower uncertainty.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107938"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605641","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":"Climate risk attention and nonlinear stock market responses: Evidence from an emerging market","authors":"Yinglong Zhang, Songsong Li, Xiaoqian Zhu","doi":"10.1016/j.frl.2025.107941","DOIUrl":"10.1016/j.frl.2025.107941","url":null,"abstract":"<div><div>Climate change is increasingly shaping financial markets, particularly in developing economies with evolving institutional frameworks and disclosure practices. This study constructs four firm-level climate attention indices—Aggregate, Physical Risk, Transition Risk, and Opportunity—based on over 117,000 Chinese-language earnings calls and broker reports. Using a keyword discovery method enhanced by natural language processing (NLP), we quantify climate-related disclosure intensity across A-share listed firms. Huber robust regressions within an event-study framework reveal a significant inverted U-shaped relationship between climate attention and cumulative abnormal returns (CARs), especially over longer event windows. Among the four dimensions, transition risk attention elicits the strongest and most persistent market responses. Moreover, the effects vary systematically by ownership type, carbon intensity, policy regime, and geographic region. These findings provide novel micro-level evidence on how investors in emerging markets process climate disclosures, offering implications for disclosure regulation, sustainable finance, and capital market reforms in low- and middle-income countries (LMICs).</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107941"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606082","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":"Talking Trump and tanking markets","authors":"Yuqi Zheng , Brian Lucey","doi":"10.1016/j.frl.2025.107846","DOIUrl":"10.1016/j.frl.2025.107846","url":null,"abstract":"<div><div>This study investigates the impact of Trump-related events, measured by the urgency around his mentions in central bank speeches, on volatility in the clean energy market. Using advanced textual analysis, we construct event-related variables and assess their significance through Extreme Bounds Analysis (EBA). Based on the EBA results, we identify Urgency and Commitment as the two key factors, selected from the top and bottom percentiles of robustness rankings. These variables form the basis of an event study framework used to assess the causal impact of policy signals on abnormal market returns This approach enables us to assess not only whether Trump-related policy speeches influence the clean energy market, but also when and under what level of commitment such influence occurs. Importantly, central bank speeches that express high urgency may initially cause uncertainty or caution rather than immediate market action. This delayed response highlights the need to consider both the timing and tone of policy communication when evaluating market reactions.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107846"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596875","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":"When one asks, many follow: Influence of individual investors direct communication to enterprise on corporate financialization","authors":"Chuanxin Xu , Xingchen Li","doi":"10.1016/j.frl.2025.107919","DOIUrl":"10.1016/j.frl.2025.107919","url":null,"abstract":"<div><div>With the development of technology, individual investors can communicate directly with the company, and the interactive content can be observed by other investors. We explore the influence of this direct communication on corporate financialization. The results show that individual investors' voices can significantly restrain corporate financialization, reducing financing constraints and management shortsightedness are important influencing mechanisms. The quality of communication and the timeliness of enterprise response is also negatively related to corporate financialization, but excessive attention to investors' returns in the communication process will aggravate the financial behavior of enterprises. This conclusion confirms the supervision effect of individual investors on enterprises and helps enterprises strengthen protection of retail investors.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107919"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613197","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}
Shahab Nankali, Laleh Tafakori, Mahdi Jalili, Xiaolu Hu
{"title":"Copula-based dynamic networks for forecasting stock market volatility","authors":"Shahab Nankali, Laleh Tafakori, Mahdi Jalili, Xiaolu Hu","doi":"10.1016/j.frl.2025.107918","DOIUrl":"https://doi.org/10.1016/j.frl.2025.107918","url":null,"abstract":"This study enhances volatility forecasting by integrating copula-based methods with a dynamic network log- ARCH model. The D-vine copula quantile regression and copula entropy methods, which capture nonlinear dependencies and select key predictors, are used to construct a high-dimensional financial network. The model incorporates time-lagged volatility and information from neighboring stocks, enabling efficient risk propagation. Applied to Dow Jones Index constituents (2012–2024), our approach improves forecasting accuracy while reducing reliance on hyperparameters. We also find that the low-volatility premium coincides with lower downside risk, with low- and high-volatility stocks exhibiting equal or lower return standard deviations across all networks. Notably, the copula-based network identifies stocks that enhance alpha while mitigating portfolio risk, offering a robust tool for portfolio construction and risk management.","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"6 1","pages":""},"PeriodicalIF":10.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613168","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}
Jiangtao Bai , He Song , Haojie Wang , Yuetong Liu
{"title":"Economic policy uncertainty and stock market reactions to earnings announcements: Evidence from China","authors":"Jiangtao Bai , He Song , Haojie Wang , Yuetong Liu","doi":"10.1016/j.frl.2025.107942","DOIUrl":"10.1016/j.frl.2025.107942","url":null,"abstract":"<div><div>Economic policy uncertainty (EPU) exacerbates the information asymmetry between companies and investors. This paper uses Chinese A-share listed companies from 2007 to 2021 as the research sample and employs the event study method to investigate the relationship between economic policy uncertainty and stock market reactions to earnings announcements. We find that economic policy uncertainty decreases (increases) investors’ sensitivity to positive (negative) earnings news. We further reveal that investor sentiment can mitigate the impact of economic policy uncertainty on stock market reactions to earnings announcements. These findings can provide practical insights for financial regulators and policymakers.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107942"},"PeriodicalIF":7.4,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605646","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":"Energy transformation, green finance, and energy utilization efficiency","authors":"Ting Li , Xiaoqiang Zheng , Zhiwen Li","doi":"10.1016/j.frl.2025.107914","DOIUrl":"10.1016/j.frl.2025.107914","url":null,"abstract":"<div><div>This study examines the impact of China’s <em>New energy demonstration city</em> policy on the efficiency of urban energy use. This study demonstrates that the policy significantly promotes energy efficiency by improving human capital, with green finance further amplifying this effect. Heterogeneity analysis reveals that non-resource-based cities and those outside the Yangtze River Economic Belt tend to benefit more.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"85 ","pages":"Article 107914"},"PeriodicalIF":7.4,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596282","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}