Adaptive estimation of cointegrated models: simulation evidence and an application to the forward exchange market

✍ Scribed by Douglas J. Hodgson

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 285 KB
• Volume: 14
• Category: Article
• ISSN: 0883-7252
• DOI: 10.1002/(sici)1099-1255(199911/12)14:6<627::aid-jae525>3.0.co;2-k

✦ Synopsis

The paper reports simulation and empirical evidence on the ®nite-sample performance of adaptive estimators in cointegrated systems. Adaptive estimators are asymptotically ecient, even when the shape of the likelihood function is unknown. We consider two representations of cointegrated systems Ð triangular cointegrating regressions and error correction models. The motivation for and advantages of adaptive estimators in such systems are discussed and their construction is described. We report results from the estimation of a forward exchange market unbiasedness regression using the adaptive and competing estimators, and provide related Monte Carlo simulation evidence on the performance of the estimators.