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Time-varying Beta of K-housing Market: Fitting and Forecast

  • Korea Real Estate Review
  • 2016, 26(4), pp.41-60
  • Publisher : korea real estate research institute
  • Research Area : Social Science > Law > Law of Special Parts > Law of Real Estate
  • Published : December 31, 2016

김중득 1 Lee, Young Soo ORD ID 2

1MG금융경제연구소
2영산대학교

Accredited

ABSTRACT

This paper investigates the time-varying behavior of beta for Korea housing market using monthly housing pricing indices of borough in Seoul and Busan over the period 2003-2014. In this paper, we focus on tests based on Kalman filter. First, in order to know whether betas have varied substantially over time, this paper estimates time-varying betas using the Kalman filter algorithm in the framework of a state-space model. Second, we compare the fitting and forecast ability of two different time-varying beta models(using AR(1) and random walk process) and use the constant beta of the single factor model as a benchmark. Our results find that in time-series test, measures of forecast errors overwhelmingly support the Kalman filter method implying betas are time-varying substantially over time. In comparison of time-varying betas, Betas of AR(1) process are preferred to random walk process in sample fitting performances and betas of random walk process provide more accurate forecast.

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