{"title":"Board declassification and bargaining power","authors":"Miroslava Straska, H. Gregory Waller","doi":"10.1016/j.jbankfin.2025.107490","DOIUrl":"10.1016/j.jbankfin.2025.107490","url":null,"abstract":"<div><div>We examine the relations between recent board declassifications, takeover activity and takeover gains over the period 2003–2014. We report that firms that declassified their boards in the previous five years are more likely to be a takeover target compared to firms whose boards remain classified. We also report that, once targeted, these firms receive lower takeover premiums and realize lower abnormal returns around the announcement of the transaction. Finally, we find that these firms obtain a smaller share of abnormal dollar merger gains. These results are consistent with the interpretation that firms that declassified their boards have lost some bargaining power in negotiating M&A transactions.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"178 ","pages":"Article 107490"},"PeriodicalIF":3.6,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144489558","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":"Easing of borrower-based measures: Evidence from Czech loan-level data","authors":"Martin Hodula , Lukáš Pfeifer , Ngoc Anh Ngo","doi":"10.1016/j.jbankfin.2025.107489","DOIUrl":"10.1016/j.jbankfin.2025.107489","url":null,"abstract":"<div><div>We analyze the impact of easing borrower-based measures on residential mortgage credit and borrower characteristics in the Czech Republic in early 2020. This easing included a relaxation of the LTV limit and the abolition of the DTI and DSTI limits. Our findings indicate that affected households increased borrowing, purchased more expensive houses, and accepted lower collateral values. Borrowers' debt service burdens rose but were offset by income growth. We find that: (i) LTV-constrained borrowers exhibited cash-retention behavior, while DTI- and DSTI-constrained borrowers aligned with the financial accelerator motive; (ii) LTV relaxation had a greater effect in poorer counties, while the abolition of DTI and DSTI limits affected richer regions; (iii) younger borrowers were more impacted by LTV and DTI easing, whereas DSTI easing influenced older borrowers; and (iv) LTV relaxation primarily affected first-time borrowers, while the abolition of DTI and DSTI limits impacted repeat borrowers, who obtained larger mortgages and purchased more expensive properties.</div><div>We analyze the impact of easing borrower-based measures on residential mortgage credit and borrower characteristics in the Czech Republic in early 2020. This easing included a relaxation of the LTV limit and the abolition of the DTI and DSTI limits. Our findings indicate that affected households increased borrowing, purchased more expensive houses, and accepted lower collateral values. Borrowers' debt service burdens rose but were offset by income growth. We find that: (i) LTV-constrained borrowers exhibited cash-retention behavior, while DTI- and DSTI-constrained borrowers aligned with the financial accelerator motive; (ii) LTV relaxation had a greater effect in poorer counties, while the abolition of DTI and DSTI limits affected richer regions; (iii) younger borrowers were more impacted by LTV and DTI easing, whereas DSTI easing influenced older borrowers; and (iv) LTV relaxation primarily affected first-time borrowers, while the abolition of DTI and DSTI limits impacted repeat borrowers, who obtained larger mortgages and purchased more expensive properties.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"178 ","pages":"Article 107489"},"PeriodicalIF":3.6,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144253838","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}
Jennifer Huang , Donghui Shi , Zhongzhi Song , Bin Zhao
{"title":"Firm-initiated stock trading suspension during a market crash","authors":"Jennifer Huang , Donghui Shi , Zhongzhi Song , Bin Zhao","doi":"10.1016/j.jbankfin.2025.107473","DOIUrl":"10.1016/j.jbankfin.2025.107473","url":null,"abstract":"<div><div>We investigate the determinants and effects of firm-initiated trading suspension during the Chinese stock market crash in July 2015. Our findings reveal that firms implemented suspensions to prevent investors’ panic selling, mitigate negative economic feedback, and safeguard specific shareholders’ interests. Once trading resumes, suspended stocks quickly align with the returns of comparable stocks, indicating that investors do not appear to penalize these firms in terms of valuation. Regarding post-resumption trading profits, small individual investors and institutions experience losses, whereas large individual investors and state agencies realize gains.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107473"},"PeriodicalIF":3.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105297","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}
Andria Charalambous , Alan Duboisée de Ricquebourg , Elvira Scarlat , Karin Shields
{"title":"Gender composition and conflicts of interest in the financial industry: Evidence from analysts’ target price optimism","authors":"Andria Charalambous , Alan Duboisée de Ricquebourg , Elvira Scarlat , Karin Shields","doi":"10.1016/j.jbankfin.2025.107484","DOIUrl":"10.1016/j.jbankfin.2025.107484","url":null,"abstract":"<div><div>A barrage of regulatory requirements has been issued to increase the impartiality of sell-side analysts’ research reports and create a wall between equity research and investment banking departments. Yet studies suggest a persistent organizational culture within the profession that encourages optimistically biased research reports for current and potential investment banking clients. To examine potential solutions to this issue, we focus on sell-side analysts’ target price optimism and find that analysts at brokerages with higher female representation issue significantly less optimistic target prices, especially when they face incentives to inflate forecasts due to their brokerage’s affiliation to the firm being analyzed. To identify the mechanism behind this result, we explore analysts’ optimism bias in situations when mergers between banks change gender composition in a way that is exogenous to the analysts, as well as when analysts voluntarily switch between brokerages with different gender compositions. The results of these analyses, along with a lag and forward test of the relation between the female proportion of analysts and optimism bias, indicate that gender composition plays a significant role in shaping brokerage culture. We rule out that results are driven by the gender of the individual analyst and confirm our results’ robustness to various specifications. Our findings suggest the potential for gender composition of the workforce to aid self-regulation in the financial industry.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"178 ","pages":"Article 107484"},"PeriodicalIF":3.6,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144518749","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}
Boulis Maher Ibrahim , Iordanis Angelos Kalaitzoglou
{"title":"Crowdedness, mispricing, crashes, and spikes","authors":"Boulis Maher Ibrahim , Iordanis Angelos Kalaitzoglou","doi":"10.1016/j.jbankfin.2025.107485","DOIUrl":"10.1016/j.jbankfin.2025.107485","url":null,"abstract":"<div><div>This study proposes “reflexive crowdedness” as a mechanism through which order flow can become toxic at ultra-high frequencies (UHFs). Crowdedness, a coordination problem arising from the inability of traders to accurately gauge competition, leads to significant unbalanced mispricing in the form of liquidity costs. This mispricing is amplified by (reflexive) feedforward loops between liquidity and price components and can accumulate rapidly when high-speed traders engage. We develop an empirical framework to examine this mechanism in UHF trading. Results on trades of Dow 30 stocks show that reflexive crowdedness triggers speculative algorithmic trading and drives order flow toxicity and market instability at high frequencies. We formulate a UHF measure of reflexive crowdedness and find it predicts various UHF phenomena, including flash crashes and spikes, more reliably than price volatility and the Volume Synchronised Probability of Informed Trading (VPIN). This makes this measure highly relevant to investors, traders, market operators, and regulators.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107485"},"PeriodicalIF":3.6,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144134256","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":"Credit rating and stock return comovement","authors":"Jianfeng Shen , Huiping Zhang , Weiqi Zhang","doi":"10.1016/j.jbankfin.2025.107474","DOIUrl":"10.1016/j.jbankfin.2025.107474","url":null,"abstract":"<div><div>Firms with similar credit ratings, particularly high-yield ones, exhibit strong comovement in stock returns. After a firm is downgraded to high-yield status, it comoves more with other high-yield firms and less with investment-grade ones, a pattern not fully explained by changes in fundamentals or other firm characteristics. We find evidence that suggests the investor clientele explanation for rating-related comovement, potentially arising from heterogeneous lottery preferences. High-yield-averse funds reduce their holdings of firms being downgraded to high-yield status, particularly those that are more lottery-like, much more significantly than high-yield-prone funds. Furthermore, a firm’s stock returns become sensitive to flows into high-yield-prone funds after being downgraded to high-yield status, consistent with the price impact of rating-based category investing.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107474"},"PeriodicalIF":3.6,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941184","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":"Quantitative easing, uncertainty, and risk aversion","authors":"Leonidas S. Rompolis","doi":"10.1016/j.jbankfin.2025.107475","DOIUrl":"10.1016/j.jbankfin.2025.107475","url":null,"abstract":"<div><div>This study examines the impact of European Central Bank (ECB) monetary policy surprises on economic uncertainty and investor risk aversion. We identify four factors using a high-frequency event-study approach. These factors measure surprises regarding the current setting of policy rates (Target), the bank’s future policy path (Forward Guidance), and quantitative easing (QE). The fourth factor reflects unexpected news about future macroeconomic conditions. Our main finding is that quantitative tightening surprises, proxied by positive QE surprises, increase economic uncertainty and investor risk aversion. Additionally, we document the significant response of key macroeconomic variables to these surprises.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107475"},"PeriodicalIF":3.6,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941185","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 impact of public corruption on marketplace lending outcomes","authors":"Abdulkader Kaakeh , Simon C. Parker","doi":"10.1016/j.jbankfin.2025.107472","DOIUrl":"10.1016/j.jbankfin.2025.107472","url":null,"abstract":"<div><div>This study investigates the impact of public corruption on lending outcomes in the context of Marketplace Lending (MPL) platforms such as LendingClub. Utilizing data on over one million loans and state-level corruption metrics from the US Department of Justice, this research uniquely examines within-country variations in corruption. Our findings reveal a significant correlation between public corruption and loan defaults, with a 3 % increase in default rates per unit increase in corruption. Interest rates also rise by 9 basis points under similar conditions. These effects persist across various model specifications and robustness checks. We demonstrate that trust mediates the relationship between corruption and loan defaults, and that neither governance nor enforcement explains the observed impacts. This study contributes to the literature by linking corruption to individual financial behavior in fintech lending, highlighting the crucial role of trust in financial transactions.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107472"},"PeriodicalIF":3.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098875","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":"Quality of political information and return predictability: Evidence from investor sentiment and risk aversion","authors":"Jędrzej Białkowski , Xiaopeng Wei","doi":"10.1016/j.jbankfin.2025.107469","DOIUrl":"10.1016/j.jbankfin.2025.107469","url":null,"abstract":"<div><div>In this study, we examine how political information quality influences the predictive effects of investor sentiment and risk aversion on stock market returns. Our analysis reveals that low-quality information significantly diminishes the predictive power of investor sentiment while amplifying that of risk aversion. Moreover, incorporating a proxy for political information quality into predictive regression models significantly enhances their explanatory power. Overall, our results provide compelling evidence that the quality of information plays a critical role in shaping the dynamics of financial markets.</div></div>","PeriodicalId":48460,"journal":{"name":"Journal of Banking & Finance","volume":"177 ","pages":"Article 107469"},"PeriodicalIF":3.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144084401","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}