Refine
Year of publication
- 2011 (2) (remove)
Document Type
- Working Paper (2) (remove)
Language
- English (2) (remove)
Has Fulltext
- yes (2)
Is part of the Bibliography
- no (2)
Keywords
- Abnormal Returns (1)
- Acquisitions (1)
- Arm’s Length Debt (1)
- Credit Ratings (1)
- Mergers and Acquisitions (1)
- macroprudential supervision (1)
- systemic risk (1)
- systemic risk charge (1)
- systemic risk fund (1)
Institute
- Center for Financial Studies (CFS) (2) (remove)
In this paper we challenge the view that corporate bonds are always arm’s length debt. We analyze the effect of bond ratings on the stock price return to acquirers in M&A transactions, which tend to have significant effects on creditor wealth. We find acquirers abnormal returns to be higher if they are unrated, controlling for a wide variety of other effects identified in the literature. Tracing the difference in returns to distinct managerial decisions, we find that, everything else constant, rated firms increase their leverage in takeover transactions by less than their unrated counterparts. Consistent with a significant role for rating agencies, we find monitoring effects to be strongest when acquirer bonds are rated at the borderline between investment grade and junk. Finally, we are able to empirically exclude a large number of alternative explanations for the empirical regularities that we uncover. JEL Classification: G21, G24, G32, G34 Keywords: Acquisitions, Credit Ratings, Mergers and Acquisitions, Arm’s Length Debt, Abnormal Returns
This paper analyzes the emergence of systemic risk in a network model of interconnected bank balance sheets. Given a shock to asset values of one or several banks, systemic risk in the form of multiple bank defaults depends on the strength of balance sheets and asset market liquidity. The price of bank assets on the secondary market is endogenous in the model, thereby relating funding liquidity to expected solvency - an important stylized fact of banking crises. Based on the concept of a system value at risk, Shapley values are used to define the systemic risk charge levied upon individual banks. Using a parallelized simulated annealing algorithm the properties of an optimal charge are derived. Among other things we find that there is not necessarily a correspondence between a bank's contribution to systemic risk - which determines its risk charge - and the capital that is optimally injected into it to make the financial system more resilient to systemic risk. The analysis has policy implications for the design of optimal bank levies. JEL Classification: G01, G18, G33 Keywords: Systemic Risk, Systemic Risk Charge, Systemic Risk Fund, Macroprudential Supervision, Shapley Value, Financial Network