British Accounting Review最新文献_第9页

Withdrawal notice to: “Third-party auditor liability risk and trade credit policies” [YBARE 56 (6) (2024) 101454] 撤销通知：“第三方审计师责任风险和贸易信用政策”[YBARE 56 (6) (2024) 101454]

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101535

Anthony Kyiu , Bernard Tawiah , Kwabena Antwi Boasiako , Sylvester Adasi Manu

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Withdrawal notice to: <’ The hidden cost of organisation capital: Evidence from trade credit’><[YBARE(56/6) (2024) / 101238]> 撤回通知：

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101550

Dr Joye Khoo , Dr Adrian (Wai Kong) Cheung

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Withdrawal notice to: <’ Ex-ante Expected Changes in ESG and Future Stock Returns Based on Machine Learning ‘><[YBARE(56/6) (2024) / 101457]> 撤回通知：

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101543

Hongtao Zhu (Dr.) , Md Jahidur Rahman (Dr.)

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Withdrawal notice to: <’ Heterogeneity in the Integration of ESG Measures in Executive Compensation: Determinants, Contracting Details and Outcomes ‘><[YBARE(56/6) (2024) / 101440]> 撤回通知：

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101546

Dr Shilin Hou , Dr Jianfeng Shen , Dr Chuan Yu , Dr Shan Zhou

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Rank-and-file employee stock options and audit pricing: Evidence from S&P 1500 firms 普通员工股票期权与审计定价：来自标准普尔 1500 指数公司的证据

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101422

Xiaoqi Chen , Maoliang Li , Emmanuel Obiri-Yeboah , Qiang Wu

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Nineteenth century audit reports: Evolution from free-form to standardised wording 十九世纪的审计报告：从自由格式到标准化措辞的演变

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101428

Niamh M. Brennan , Sean Bradley Power

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CEO succession origin and annual reports readability 首席执行官继任的起源和年度报告的可读性

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101384

Javad Oradi , Reza Hesarzadeh , Sahar E-Vahdati , Muhammad Nadeem

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Ex-ante expected changes in ESG and future stock returns based on machine learning 基于机器学习的 ESG 和未来股票回报的事前预期变化

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101457

Hongtao Zhu , Md Jahidur Rahman

{"title":"Ex-ante expected changes in ESG and future stock returns based on machine learning","authors":"Hongtao Zhu , Md Jahidur Rahman","doi":"10.1016/j.bar.2024.101457","DOIUrl":"10.1016/j.bar.2024.101457","url":null,"abstract":"<div><div>This study has two primary objectives. Firstly, it enhances the reliability and transparency of machine-learning-based models for predicting future changes in environmental, social and governance (ESG) performance. Secondly, it explores the relationship between ex-ante expected changes in ESG and future stock returns. This study collects 3258 STOXX Europe 600 firm-year observations. In the ESG prediction phase, two machine learning algorithms (logistic regression and random forest) are utilised to develop ESG forecasting models. Hyperparameter optimisation and walk-forward validation techniques are employed to address issues of underestimation and information leakage. The machine-learning-based ESG forecasting models are evaluated using three metrics: accuracy, area under the curve (AUC) and area under the precision-recall curve (AUPR). Subsequently, this study investigates the relationship between ex-ante expected ESG changes and future stock returns using the predicted ESG changes. A positive correlation is found between ex-ante expected ESG changes and future stock returns. The supplementary tests also reveal that this positive relationship is highly and statistically significant among large firms and after the COVID-19 pandemic. Moreover, this study introduces a robust and transparent approach for constructing effective machine-learning-based ESG forecasting models using hyperparameter optimisation and walk-forward validation. Additionally, traditional regression analyses are modernised by incorporating machine-learning-predicted independent variables. <span>Furthermore</span>, the findings provide empirical support for stakeholder, agency and resource-based theories. Finally, practical insights are provided to facilitate ESG-focused investment portfolio decision making.</div></div>","PeriodicalId":47996,"journal":{"name":"British Accounting Review","volume":"56 6","pages":"Article 101457"},"PeriodicalIF":5.5,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141910579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cross-border regulatory cooperation and cash holdings: Evidence from US-listed foreign firms 跨境监管合作与现金持有：来自在美国上市的外国公司的证据

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101449

Yuyuan Chang , Wen He , Lin Mi

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引用次数: 0

Withdrawal notice to: <’ Political Uncertainty, Corporate Social Responsibility, and Firm Performance ‘><[YBARE(56/6) (2024) / 101467]> 撤回通知：

IF 5.5 3区管理学

British Accounting Review Pub Date : 2024-11-01 DOI: 10.1016/j.bar.2024.101544

Dr Yi Hu , Dr Chao Yin

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