International Review of Financial Analysis最新文献_第3页

Governance or collusion? Shareholders' network and corporate ESG greenwashing 治理还是勾结？股东网络与企业ESG洗绿

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-17 DOI: 10.1016/j.irfa.2025.104641

Jinkun Yang, Hai Wang, Congcong Hou, Shaozheng Fu

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引用次数: 0

National civilized city award and corporate earnings management 全国文明城市奖及企业盈余管理

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-16 DOI: 10.1016/j.irfa.2025.104640

Xuemei Xiong , Ruoting Zheng , Chenlan Liu , Xuanhao Huang

引用次数: 0

Home bias, sovereign-bank nexus and bank failure – Evidence from European stress tests 本土偏见、主权银行关系和银行倒闭——来自欧洲压力测试的证据

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-16 DOI: 10.1016/j.irfa.2025.104594

Dominik Meyland , Dorothea Schäfer

引用次数: 0

Supply chain innovation support policies, financing constraints, and corporate digital transformation 供应链创新支持政策、融资约束与企业数字化转型

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-16 DOI: 10.1016/j.irfa.2025.104639

Dongxia Liu , Liming Chen

引用次数: 0

Structural evolution of industry association networks in Chinese stock market under major event shocks: A comparative analysis of two crises based on partial Granger causal networks 重大事件冲击下中国股市行业协会网络的结构演化——基于部分格兰杰因果网络的两次危机比较分析

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-13 DOI: 10.1016/j.irfa.2025.104572

Can-Zhong Yao, Yan-Li Li

{"title":"Structural evolution of industry association networks in Chinese stock market under major event shocks: A comparative analysis of two crises based on partial Granger causal networks","authors":"Can-Zhong Yao, Yan-Li Li","doi":"10.1016/j.irfa.2025.104572","DOIUrl":"10.1016/j.irfa.2025.104572","url":null,"abstract":"<div><div>Based on the inter-industry partial Granger causality network model, this study explores the dynamic impact mechanisms and risk transmission patterns of major events on industry associations in the Chinese stock market. A comparative analysis of data from the 2015 stock market crash and the two phases of the COVID-19 pandemic reveals three key findings. First, market vulnerability exhibits significant heterogeneity during crises. During the 2015 stock market crash, industry network density declined, and centrality shifted from the financial sector to defensive industries. In contrast, during the pandemic, an information hub network emerged, with computers and non-banking financials at its core, highlighting the technology sector’s resource control capacity during crises. Second, the risk transmission path underwent a structural shift. Outward correlation analysis shows that the real estate industry chain benefited from counter-cyclical control policies following the stock market crash, while the influence of the electronics industry surged during the pandemic. Meanwhile, inward intensity analysis identifies the automobile industry as the largest risk recipient in both crises. Finally, network stability weakened significantly. Motif analysis comparing pre-crisis and during-crisis periods reveals that all five key triadic and quadratic structures declined by 38.5% and 49.6%, respectively, with feedback loop motifs experiencing the largest reduction. This confirms that major events amplify market vulnerability by weakening causal linkages. These findings provide new evidence on network dynamics, offering valuable insights into the domino effect of extreme events in capital markets.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"107 ","pages":"Article 104572"},"PeriodicalIF":9.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Social trust and fertility intentions: Evidence from China with causal and structural insights 社会信任与生育意愿：来自中国的证据，具有因果关系和结构见解

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-13 DOI: 10.1016/j.irfa.2025.104616

Xin Deng, Yang Wang, Xiaobo Tao

{"title":"Social trust and fertility intentions: Evidence from China with causal and structural insights","authors":"Xin Deng, Yang Wang, Xiaobo Tao","doi":"10.1016/j.irfa.2025.104616","DOIUrl":"10.1016/j.irfa.2025.104616","url":null,"abstract":"<div><div>This paper examines the causal impact of social trust on fertility intentions using nationally representative data from the China General Social Survey (CGSS). To provide structural interpretation, we develop a implicit overlapping generations (OLG) model in which social trust reduces the perceived cost of childbearing and enhances expected intergenerational returns. Simulation results reveal a reinforcing dynamic between trust and fertility across different parameter settings. To address potential endogeneity, we construct an instrumental variable based on provincial terrain slope, which captures exogenous variation in long-run trust formation. The results show that higher levels of interpersonal trust significantly increase the ideal number of children, and the estimates are robust to alternative trust measures and high-dimensional controls. Subsample results highlight heterogeneity by income level, age group, hukou status, and gender. Mechanism analyses further indicate that trust operates partly through improving subjective wellbeing and perceived social fairness. The findings underscore the role of social trust in shaping reproductive behavior and suggest that trust-building policies may complement conventional fertility support programs, especially in low-trust environments.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"107 ","pages":"Article 104616"},"PeriodicalIF":9.8,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measuring name concentrations through deep learning 通过深度学习测量名字的浓度

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-13 DOI: 10.1016/j.irfa.2025.104598

Eva Lütkebohmert , Julian Sester

引用次数: 0

Culture-driven, intelligent finance, and corporate human capital accumulation 文化驱动、智慧金融、企业人力资本积累

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-12 DOI: 10.1016/j.irfa.2025.104630

Zixuan Dong , Mohd Faiq Abd Aziz

引用次数: 0

Is carbon price uncertainty priced in the corporate bond yield spreads? Evidence from Chinese corporate bond markets 碳价格的不确定性是否反映在公司债券收益率差中？来自中国公司债券市场的证据

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-12 DOI: 10.1016/j.irfa.2025.104618

Bin Li, Han Wang, Yanyi Ye

引用次数: 0

Does digital poverty exacerbate household financial fragility? 数字贫困是否加剧了家庭财务脆弱性？

IF 9.8 1区经济学

International Review of Financial Analysis Pub Date : 2025-09-12 DOI: 10.1016/j.irfa.2025.104637

Xuxia Ma , Cheng Liu

引用次数: 0