Fractional dynamics in Japanese financial time series

John T. Barkoulas, Christopher F. Baum

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Using the spectral regression and Gaussian semiparametric methods of estimating the long-memory parameter, we test for fractional dynamic behavior in a number of important Japanese financial time series: spot exchange rates, forward exchange rates, stock prices, currency forward premia, Euroyen deposit rates, and the Euroyen term premium. Stochastic long memory is established as a feature of the currency forward premia, Euroyen deposit rates, and Euroyen term premium series. The martingale model cannot be rejected for the spot, forward, and stock price series.

Original languageEnglish
Pages (from-to)115-124
Number of pages10
JournalPacific-Basin Finance Journal
Volume6
Issue number1-2
DOIs
StatePublished - May 1998

Scopus Subject Areas

  • Finance
  • Economics and Econometrics

Keywords

  • C22
  • G12
  • Gaussian semiparametric method
  • Long memory
  • Spectral regression
  • Time series

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