Private Information and Bank-Loan Pricing: The Effect of Upcoming Corporate Spinoffs

Ole-Kristian Hope, Vlad-Andrei Porumb, Rusanescu Simona, Dushyantkumar Vyas

Research output: Contribution to journalArticlepeer-review

Abstract

Corporate spinoffs are important events that are accompanied by valuation and credit-risk implications for the parent firm. Among other benefits, spinoffs can improve corporate focus and enhance valuation transparency. In the debt-contracting context, however, spinoffs can also lead to potential wealth transfers from creditors to shareholders. We examine whether banks, due to their timely access to material private information, are able to ascertain the likelihood and the implications of impending spinoffs for the parent firm before a formal public announcement of the spinoff. Our empirical analyses indicate that, in the 365-days pre-spinoff announcement period, banks charge incrementally higher (lower) spreads to borrowers with increased (decreased) post-spinoff riskiness. This suggests that, while lenders recognize the value- and transparency-enhancing effects of spinoffs, they are also able to foresee potentially negative implications of these divestitures. Cross- sectional analyses indicate that banks charge incrementally lower loan spreads if spinoffs result in high-risk borrowers having higher reporting quality or lower reporting and operational complexity. These results suggest that the post-spinoff increase in riskiness is compensated by the divestiture benefits typically associated with spinoffs. Similarly, high-risk borrowers pay larger spreads if they undergo less efficient, non-focusing spinoffs. Overall, our findings suggest that banks are able to ex- ante determine the implications of important corporate events such as spinoffs.
Original languageEnglish
JournalSocial Science Research Network
Publication statusSubmitted - 17 Aug 2022

Keywords

  • Spinoffs
  • Bank-Loan Pricing
  • Private Information
  • Financial Reporting Quality
  • Disclosure
  • Complete electrode model

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