Fitting a two phase threshold multiplicative error model

Indeewara Perera, Hira L. Koul

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)


The recent literature on financial time series analysis has devoted considerable attention to nonnegative time series, such as financial durations, realized volatility, and squared returns. The class of models, referred to as the multiplicative error models [MEM], is particularly suited to model such nonnegative time series. We develop a lack-of-fit test for fitting a two-phase threshold model for the conditional mean function in an MEM. The proposed testing procedure can also be applied to a class of autoregressive conditional heteroscedastic threshold models. We evaluate the test in a simulation study. The testing procedure is illustrated by using two data examples.

Original languageEnglish
Pages (from-to)348-367
Number of pages20
JournalJournal of Econometrics
Issue number2
Publication statusPublished - 1 Apr 2017


  • Kolmogorov-Smirnov
  • Lack-of-fit test
  • Martingale transform

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