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Lending Relationships of Firms for a Just Transition 公平转型下的企业借贷关系
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-12-12 DOI: 10.1111/eufm.12535
Mohammed Saharti, Asif Saeed, Sajid M. Chaudhry, Muhammad Ali Nasir

This paper examines lending dynamics for firms aiming for a “just transition”. Analyzing 37,426 firm-year observations from DealScan and Refinitiv's environmental, social and governance (ESG) transition data (2002–2021), we find that lenders offer lower interest rates to firms with prior relationships and strong ESG commitments, particularly environmental ones. While environmental factors receive favourable treatment, economic and governance transitions are less prioritized. Lenders tend to form more dispersed syndicates when supporting firms focused on ESG transitions, especially environmental ones. This research highlights the uneven focus within ESG transitions and emphasizes the underexamined area of governance, providing insights into lending relationships.

本文考察了以“公正转型”为目标的企业的贷款动态。通过分析DealScan和Refinitiv的环境、社会和治理(ESG)转型数据(2002-2021年)的37,426个公司年度观察,我们发现,贷款人向具有先前关系和强大ESG承诺的公司(特别是环境公司)提供较低的利率。虽然环境因素得到了优惠待遇,但经济和治理转型却没有得到优先考虑。在支持专注于ESG转型(尤其是环境转型)的公司时,贷款机构倾向于组建更分散的辛迪加。本研究强调了ESG转型的重点不均衡,并强调了治理中未得到充分研究的领域,为贷款关系提供了见解。
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引用次数: 0
Correction to “The Impact of Credit Reforms on Bank Loans and Firm Leverage Around the World” 对“信贷改革对全球银行贷款和企业杠杆的影响”的修正
IF 3.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-12-03 DOI: 10.1111/eufm.12538

Gonenc, H., F. Jansen, M. H. Tinoco, and M. Vulanovic. 2024. “The Impact of Credit Reforms on Bank Loans and Firm Leverage Around the World.” European Financial Management 30: 2449–2502. https://doi.org/10.1111/eufm.12477.

The institution in the author affiliation for the second author, Floris Jansen, has been misspelt. It should be ‘Houlihan Lokey’.

We apologize for this error.

H. Gonenc, F. Jansen, M. H. Tinoco, M. Vulanovic. 2024。“信贷改革对全球银行贷款和企业杠杆的影响”。金融管理,30(3):449 - 452。第二作者Floris Jansen的作者隶属关系中的https://doi.org/10.1111/eufm.12477.The机构拼写错误。应该是“Houlihan Lokey”。我们为这个错误道歉。
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引用次数: 0
Financial Market Misconduct: A Bibliometric Perspective 金融市场不端行为:文献计量学视角
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-12-03 DOI: 10.1111/eufm.12525
Rosella Carè, Rabia Fatima

This article provides a bibliometric analysis of financial market misconduct (FMM) research. It maps the intellectual structure of FMM studies, visualizes the field's scientific literature, and uncovers its intellectual backbone, emergent ‘hot topics’, key journals, and influential authors. The study contributes to both academia and industry by elucidating the main components and evolutionary trends in FMM research. Additionally, it highlights future research directions by identifying potential underestimated risks and unexplored areas.

本文对金融市场不端行为(FMM)研究进行了文献计量分析。它绘制了FMM研究的知识结构,可视化了该领域的科学文献,并揭示了其知识支柱、新兴的“热门话题”、关键期刊和有影响力的作者。该研究阐明了FMM研究的主要组成部分和发展趋势,对学术界和工业界都有贡献。此外,通过识别潜在的被低估的风险和未开发的领域,它突出了未来的研究方向。
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引用次数: 0
Executive Equity-Based Compensation and Tournament Incentives 基于股权的高管薪酬和赛事激励
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-26 DOI: 10.1111/eufm.12533
Meziane Lasfer, Xiaoke Ye

We find that the losers in CEO promotion tournaments sell their equity holdings profitably to mitigate the reductions in the promotion-based component of their contracts. They avoid selling before losing the contest to maximize their promotion probabilities. Those who are more likely to compete in the tournament and to face a greater forgone tournament prize trade more aggressively. Our results suggest that tournament losers consider their trading opportunities as outside options to compensate themselves ex-post. This strategy weakens the relationship between tournament incentives and firm performance and highlights new implications for tournament incentives models, compensation committees, and insider trading regulations.

我们发现,在CEO晋升比赛中的失败者出售他们的股权获利,以减轻其合同中基于晋升的部分的减少。他们在输掉竞争之前避免销售,以最大化他们的推广概率。那些更有可能在比赛中竞争并面临更大的放弃比赛奖金的人更积极地交易。我们的研究结果表明,比赛失败者将他们的交易机会视为事后补偿自己的外部选择。这一策略削弱了赛事激励与公司绩效之间的关系,并突出了赛事激励模型、薪酬委员会和内幕交易监管的新含义。
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引用次数: 0
Voting in the Stock Market–Retail Investor Preferences During COVID-19 COVID-19期间股票-散户投资者偏好的投票
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-26 DOI: 10.1111/eufm.12526
Anil Gautam, Grace Lepone PhD

Using data from Robinhood, this study investigates retail investors' movement towards/from securities with different environmental, social and governance scores during the COVID-19 pandemic. Although the number of retail investors holding securities with low environmental scores declined, the number holding high-score securities remained steady. We also find heterogeneity in investors' reactions to different subcategory scores. The equal-weighted buy-and-hold portfolio of high-score securities did not outperform that of low-score securities in either volatility or return, suggesting neither financial return nor risk drove retail investors' preference for high environmental score securities. Thus, such ‘voting’ by investment choice is independent of pecuniary indicators.

本研究使用罗宾汉的数据,调查了2019冠状病毒病大流行期间散户投资者对不同环境、社会和治理得分证券的流动情况。虽然持有环境得分低的证券的散户数量有所减少,但持有环境得分高的证券的散户数量保持稳定。我们还发现投资者对不同子类别得分的反应存在异质性。高环境得分证券的等权重买入并持有组合在波动性和回报上都没有优于低环境得分证券,这表明无论是财务回报还是风险都没有驱动散户投资者对高环境得分证券的偏好。因此,这种投资选择的“投票”是独立于货币指标的。
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引用次数: 0
Tests of Global Flights to Safety With US Financial Firm Bankruptcy Announcements 美国金融公司宣布破产,全球航班安全受到考验
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-26 DOI: 10.1111/eufm.12532
Theodosis L. Kallenos, Panayiotis Papakyriakou, Athanasios Sakkas, Zenon Taoushianis

This paper investigates whether bankruptcy announcements by large US financial institutions can induce flights to safety, leading investors to seek safer investments. To test this relationship, we employ a short-horizon event study methodology and show that low-risk investments—such as the US dollar, sovereign bonds and gold—exhibit significant appreciation following such announcements. This result is more pronounced when the local country-level investor sentiment declines in the postannouncement period. We also analyze the transmission mechanism through which bankruptcy announcements cause flights to safety and empirically identify a global information contagion channel via negative shocks to the cash flows of stocks.

本文研究美国大型金融机构的破产公告是否会促使投资者向安全的地方转移,从而寻求更安全的投资。为了检验这种关系,我们采用了短期事件研究方法,并表明低风险投资——如美元、主权债券和黄金——在此类公告发布后表现出显著的升值。当地方国家层面的投资者情绪在公告发布后下降时,这一结果更为明显。我们还分析了破产公告导致投资者避险的传导机制,并通过对股票现金流的负冲击,实证地识别了一个全球性的信息传染渠道。
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引用次数: 0
Robots, Labour Market Frictions and Corporate Financial Policy 机器人、劳动力市场摩擦和企业财务政策
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-21 DOI: 10.1111/eufm.12534
Yanguang (Alice) Liu

We construct a novel firm-level measure of robot exposure using the International Federation of Robotics (IFR) data set and new robot patent data. We find that the use of robots leads to higher leverage and lower cash holdings. Using an instrumental variable based on the comparative advantage of robots in specific tasks, we find that the effect is likely to be causal and driven by the reduced operating leverage. The effect is stronger when firms are hit by negative shocks including minimum wage hikes and foreign competition. Firms with more robots pay out more and use fewer corporate hedging contracts.

我们利用国际机器人联合会(IFR)数据集和新的机器人专利数据构建了一个新的企业层面的机器人暴露度量。我们发现,机器人的使用导致更高的杠杆率和更低的现金持有量。使用基于机器人在特定任务中的比较优势的工具变量,我们发现这种影响可能是因果关系,并由降低的经营杠杆驱动。当企业受到最低工资上调和外国竞争等负面冲击时,这种影响会更大。拥有更多机器人的公司支付更多,使用更少的公司对冲合约。
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引用次数: 0
Bank Financial Distress and Stock Price Crashes: A Quasi-Experimental Approach 银行财务困境与股价崩盘:一种准实验方法
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-20 DOI: 10.1111/eufm.12529
Priti Biswas, Debasish Maitra, Sayantan Mukherjee

Using 118,292 US bank-month observations, we examine the effects of short-term changes in bank's financial distress on stock price crash risk. There is a significant positive association between short-term changes in distress on stock price crash risk. The results remain consistent across alternative measures of distress and crash risk. We confirm robustness by employing additional tests for reverse causality and propensity score matching. We find opacity, proxied by discretionary loan-loss provisions to be a potential channel through which increase in distress affects future crash risk. Our study underscores the critical association between increasing financial distress, loan-loss reporting, and crash risk.

利用118,292个美国银行月的观察结果,我们检验了银行财务困境的短期变化对股价崩盘风险的影响。短期压力变化与股价崩盘风险之间存在显著正相关。这一结果在其他衡量痛苦和坠机风险的指标中是一致的。我们通过采用反向因果关系和倾向得分匹配的额外测试来确认稳健性。我们发现,由可自由支配的贷款损失准备金所代表的不透明性,是一个潜在的渠道,通过它,困境的增加会影响未来的崩溃风险。我们的研究强调了日益严重的财务困境、贷款损失报告和崩溃风险之间的重要联系。
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引用次数: 0
Financial Regulators on Boards: Evidence From Earnings Information Quality 董事会中的金融监管者:来自盈余信息质量的证据
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-20 DOI: 10.1111/eufm.12530
Ching-Hung Chang, Yung-Ling Chi, Qingqing Wu

We find that directors with a financial regulatory background are associated with lower earnings quality. The influence of financial regulatory directors (FRDs) is more substantial for firms with higher proprietary costs and FRDs with greater expertise and experience. FRD firms do not have a greater likelihood of financial misconduct or meeting or beating analysts' forecasts. The stock market reacts more positively to FRD appointments than to the appointments of other directors. Our findings suggest that FRDs certify firm discipline, with lower earnings quality reflecting strategic choices rather than opportunistic manipulation, highlighting the impact of postemployment restrictions in financial regulatory agencies.

我们发现具有金融监管背景的董事与较低的盈余质量相关。金融监管董事(frd)的影响对于拥有较高专有成本的公司和拥有更多专业知识和经验的公司更为显著。FRD公司没有更大的可能性出现财务不当行为或达到或超过分析师的预测。与任命其他董事相比,股市对FRD任命的反应更为积极。我们的研究结果表明,frd证明了公司纪律,较低的盈余质量反映了战略选择,而不是机会主义操纵,突出了金融监管机构离职后限制的影响。
{"title":"Financial Regulators on Boards: Evidence From Earnings Information Quality","authors":"Ching-Hung Chang,&nbsp;Yung-Ling Chi,&nbsp;Qingqing Wu","doi":"10.1111/eufm.12530","DOIUrl":"https://doi.org/10.1111/eufm.12530","url":null,"abstract":"<div>\u0000 \u0000 <p>We find that directors with a financial regulatory background are associated with lower earnings quality. The influence of financial regulatory directors (FRDs) is more substantial for firms with higher proprietary costs and FRDs with greater expertise and experience. FRD firms do not have a greater likelihood of financial misconduct or meeting or beating analysts' forecasts. The stock market reacts more positively to FRD appointments than to the appointments of other directors. Our findings suggest that FRDs certify firm discipline, with lower earnings quality reflecting strategic choices rather than opportunistic manipulation, highlighting the impact of postemployment restrictions in financial regulatory agencies.</p>\u0000 </div>","PeriodicalId":47815,"journal":{"name":"European Financial Management","volume":"31 3","pages":"1072-1102"},"PeriodicalIF":2.1,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Sustainable Portfolio Construction via Machine Learning: ESG, SDG and Sentiment 通过机器学习构建可持续投资组合:ESG、可持续发展目标和情绪
IF 2.1 3区 经济学 Q2 BUSINESS, FINANCE Pub Date : 2024-11-18 DOI: 10.1111/eufm.12531
Xin Feng, Hans-Jörg von Mettenheim, Georgios Sermpinis, Charalampos Stasinakis

This study proposes portfolio construction strategies based on novel sentiment, ESG and SDG scores. We utilize natural language processing to establish a novel daily score system that mitigates concerns of different rating standards. The portfolios constructed are optimized via machine learning algorithms on a monthly basis using daily historical returns. Utilizing the equal-weighted portfolios as benchmarks, we empirically show that our optimized portfolios exhibit better trading performance in both the SPX500 and STOXX600 indices. The findings demonstrate that nonlinear models such as random forests, neural networks, and genetic algorithms can perform better than other machine learning models in portfolio management.

本研究提出基于新颖情绪、ESG和SDG得分的投资组合构建策略。我们利用自然语言处理建立了一个新的每日评分系统,减轻了不同评分标准的担忧。构建的投资组合通过机器学习算法根据每日历史回报进行月度优化。利用等权重投资组合作为基准,我们实证表明,我们优化的投资组合在SPX500和STOXX600指数中都表现出更好的交易表现。研究结果表明,非线性模型,如随机森林、神经网络和遗传算法,在投资组合管理中可以比其他机器学习模型表现得更好。
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引用次数: 0
期刊
European Financial Management
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