DANIEL BIAS, BENJAMIN LOCHNER, STEFAN OBERNBERGER, MERIH SEVILIR
This paper examines how initial public offerings (IPOs) affect firms' internal organization. We find that IPO firms become more hierarchical and standardized organizations, characterized by additional layers, more managers, smaller control spans, and larger administrative functions. These changes occur mostly in preparation for the IPO and can be only partially explained by growth. IPO firms with greater human capital risk experience larger hierarchical changes. Hierarchical changes help firms standardize employee roles and formalize internal processes. Our results suggest that firms reorganize to reduce their dependence on key individuals' human capital when transitioning to public markets.
{"title":"Going Public and the Internal Organization of the Firm","authors":"DANIEL BIAS, BENJAMIN LOCHNER, STEFAN OBERNBERGER, MERIH SEVILIR","doi":"10.1111/jofi.70012","DOIUrl":"https://doi.org/10.1111/jofi.70012","url":null,"abstract":"This paper examines how initial public offerings (IPOs) affect firms' internal organization. We find that IPO firms become more hierarchical and standardized organizations, characterized by additional layers, more managers, smaller control spans, and larger administrative functions. These changes occur mostly in preparation for the IPO and can be only partially explained by growth. IPO firms with greater human capital risk experience larger hierarchical changes. Hierarchical changes help firms standardize employee roles and formalize internal processes. Our results suggest that firms reorganize to reduce their dependence on key individuals' human capital when transitioning to public markets.","PeriodicalId":15753,"journal":{"name":"Journal of Finance","volume":"11 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145704197","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}
Comparing mortgage rates that borrowers obtain to rates that lenders could offer for the same loan, we find that many homeowners significantly overpay for their mortgage, with overpayment varying across borrower types and with market interest rates. Survey data reveal that borrowers' mortgage knowledge and shopping behavior strongly correlate with the rates they secure. We also document substantial variation in how expensive and profitable lenders are, without any evidence that expensive loans are associated with a better borrower experience. Despite many lenders operating in the U.S. mortgage market, limited borrower sophistication may provide lenders with market power.
{"title":"Paying Too Much? Borrower Sophistication and Overpayment in the U.S. Mortgage Market","authors":"NEIL BHUTTA, ANDREAS FUSTER, AUREL HIZMO","doi":"10.1111/jofi.70001","DOIUrl":"https://doi.org/10.1111/jofi.70001","url":null,"abstract":"Comparing mortgage rates that borrowers obtain to rates that lenders could offer for the same loan, we find that many homeowners significantly overpay for their mortgage, with overpayment varying across borrower types and with market interest rates. Survey data reveal that borrowers' mortgage knowledge and shopping behavior strongly correlate with the rates they secure. We also document substantial variation in how expensive and profitable lenders are, without any evidence that expensive loans are associated with a better borrower experience. Despite many lenders operating in the U.S. mortgage market, limited borrower sophistication may provide lenders with market power.","PeriodicalId":15753,"journal":{"name":"Journal of Finance","volume":"11 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145711202","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}
Theories of competition typically predict a positive relationship between market concentration and prices. However, in loan markets, adverse selection can reverse this relationship as riskier borrowers become more likely to receive funding. Using supervisory data, we show that interest rates, borrower risk, and lending volume are higher in markets with more banks. We also create a novel measure of markup that is orthogonal to borrower risk, and find that, consistent with adverse selection, markups are higher after repeated borrowing relationships. Finally, we use a shock to large banks' lending costs to provide further support for the adverse selection channel.
{"title":"Adverse Selection in Corporate Loan Markets","authors":"MEHDI BEYHAGHI, CESARE FRACASSI, GREGORY WEITZNER","doi":"10.1111/jofi.70011","DOIUrl":"https://doi.org/10.1111/jofi.70011","url":null,"abstract":"Theories of competition typically predict a positive relationship between market concentration and prices. However, in loan markets, adverse selection can reverse this relationship as riskier borrowers become more likely to receive funding. Using supervisory data, we show that interest rates, borrower risk, and lending volume are higher in markets with more banks. We also create a novel measure of markup that is orthogonal to borrower risk, and find that, consistent with adverse selection, markups are higher after repeated borrowing relationships. Finally, we use a shock to large banks' lending costs to provide further support for the adverse selection channel.","PeriodicalId":15753,"journal":{"name":"Journal of Finance","volume":"22 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145711208","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}
J. ANTHONY COOKSON, MARINA NIESSNER, CHRISTOPH SCHILLER
This paper studies whether social media sentiment predicts merger withdrawals. We find that a one‐standard‐deviation increase in social media sentiment after a merger announcement is associated with a 0.64 percentage point lower probability of withdrawal (16.6% of the average). This effect is unexplained by abnormal price reactions, traditional news, and analyst recommendations. Consistent with manager learning, the informativeness of social media strengthens after firms start corporate Twitter accounts. The informativeness is driven by longer acquisition‐related tweets by fundamental investors, rather than memes and price trend tweets. These findings suggest that social media signals can be important for corporate decisions.
{"title":"Can Social Media Inform Corporate Decisions? Evidence from Merger Withdrawals","authors":"J. ANTHONY COOKSON, MARINA NIESSNER, CHRISTOPH SCHILLER","doi":"10.1111/jofi.13508","DOIUrl":"https://doi.org/10.1111/jofi.13508","url":null,"abstract":"This paper studies whether social media sentiment predicts merger withdrawals. We find that a one‐standard‐deviation increase in social media sentiment after a merger announcement is associated with a 0.64 percentage point lower probability of withdrawal (16.6% of the average). This effect is unexplained by abnormal price reactions, traditional news, and analyst recommendations. Consistent with manager learning, the informativeness of social media strengthens after firms start corporate Twitter accounts. The informativeness is driven by longer acquisition‐related tweets by fundamental investors, rather than memes and price trend tweets. These findings suggest that social media signals can be important for corporate decisions.","PeriodicalId":15753,"journal":{"name":"Journal of Finance","volume":"203 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145599254","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}