Pricing government credit: a new method for determining government credit risk exposure

Brent Ambrose and Zhongyi Yuan

Economic Policy Review, 2018, issue 24-3, 62 pages

Abstract: A growing debate centers on how best to recognize (and price) government interventions in the capital markets. This study applies a method for estimating and valuing the government?s exposure to credit risk through its loan and guarantee programs. The authors use the mortgage portfolios of Fannie Mae and Freddie Mac as examples of how policymakers could employ this method in pricing the government?s program credit risk. Building on the cost of capital approach, the method captures each program?s possible tail loss over and above its expected value. The authors then use a capital allocation approach to obtain each program?s marginal risk contribution. They show that the current practice of pricing the programs as stand-alone entities overestimates the value of the guarantee. By explicitly capturing the interaction of program losses, their method implies that the government?s overall capital reserve required to insulate taxpayers from losses can be lower than the reserve required when each program is evaluated in isolation. The authors also point out that the extent of this reduction hinges on the strength of (tail) dependence among the expected losses across the programs.

Keywords: government credit risk; capital allocation; marginal risk contribution; tail value-at-risk (TVaR) (search for similar items in EconPapers)
JEL-codes: H6 H81 R28 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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