Estimating Affine Multifactor Term Structure Models Using Closed-Form Likelihood Expansions / Yacine Aït-Sahalia, Robert Kimmel.

Format:

Book

Author/Creator:

Aït-Sahalia, Yacine.

Contributor:

National Bureau of Economic Research.

Kimmel, Robert.

Series:

Technical Working Paper Series (National Bureau of Economic Research) no. t0286.

NBER technical working paper series no. t0286

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2002.

Summary:

We develop and implement a technique for closed-form maximum likelihood estimation (MLE) of multifactor affine yield models. We derive closed-form approximations to likelihoods for nine Dai and Singleton (2000) affine models. Simulations show our technique very accurately approximates true (but infeasible) MLE. Using US Treasury data, we estimate nine affine yield models with different market price of risk specifications. MLE allows non-nested model comparison using likelihood ratio tests; the preferred model depends on the market price of risk. Estimation with simulated and real data suggests our technique is much closer to true MLE than Euler and quasi-maximum likelihood (QML) methods.

Notes:

Print version record

December 2002.