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Shadow Banking and Bank Capital Regulation

Review of Financial Studies 2015 28(1), 146-175 open access
Banks are subject to capital requirements because their privately optimal leverage is higher than the socially optimal one. This is in turn because banks fail to internalize all costs that their insolvency creates for agents who use their money-like liabilities to settle transactions. If banks can bypass capital regulation in an opaque shadow banking sector, it may be optimal to relax capital requirements so that liquidity dries up in the shadow banking sector. Tightening capital requirements may spur a surge in shadow banking activity that leads to an overall larger risk on the money-like liabilities of the formal and shadow banking institutions.

Shadow Banking and Bank Capital Regulation

Review of Financial Studies 2015 28(1), 146-175
Banks are subject to capital requirements because their privately optimal leverage is higher than the socially optimal one. This is in turn because banks fail to internalize all costs that their insolvency creates for agents who use their money-like liabilities to settle transactions. If banks can bypass capital regulation in an opaque shadow banking sector, it may be optimal to relax capital requirements so that liquidity dries up in the shadow banking sector. Tightening capital requirements may spur a surge in shadow banking activity that leads to an overall larger risk on the money-like liabilities of the formal and shadow banking institutions.

Rewarding Trading Skills without Inducing Gambling

Journal of Finance 2015 70(3), 925-962 open access
This paper develops a model of active asset management in which fund managers may forgo alpha‐generating strategies, preferring instead to make negative‐alpha trades that enable them to temporarily manipulate investors' perceptions of their skills. We show that such trades are optimally generated by taking on hidden tail risk, and are more likely to occur when fund managers are impatient and when their trading skills are scalable, and generate a high profit per unit of risk. We propose long‐term contracts that deter this behavior by dynamically adjusting the dates on which the manager is compensated in response to her cumulative performance.