IDEAS home Printed from https://ideas.repec.org/a/bla/jtsera/v17y1996i3p287-307.html
   My bibliography  Save this article

Some Properties Of The Maximum Likelihood Estimator In The Simultaneous Switching Autoregressive Model

Author

Listed:
  • Seisho Sato
  • Naoto Kunitomo

Abstract

. The simultaneous switching autoregressive (SSAR) model proposed by Kunitomo and Sato (A non‐linearity in economic time series and disequilibrium econometric models. In Theory and Application of Mathematical Statistics (ed. A. Takemura). Tokyo:University of Tokyo Press (in Japanese), 1994; Asymmetry in economic time series and simultaneous switching autoregressive model. Struct. Change Econ. Dyn., forthcoming (1994).) is a Markovian non‐linear time series model. We investigate the finite sample as well as the asymptotic properties of the least squares estimator and the maximum likelihood (ML) estimator. Due to a specific simultaneity involved in the SSAR model, the least squares estimator is badly biased. However, the ML estimator under the assumption of Gaussian disturbances gives reasonable estimates.

Suggested Citation

  • Seisho Sato & Naoto Kunitomo, 1996. "Some Properties Of The Maximum Likelihood Estimator In The Simultaneous Switching Autoregressive Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(3), pages 287-307, May.
  • Handle: RePEc:bla:jtsera:v:17:y:1996:i:3:p:287-307
    DOI: 10.1111/j.1467-9892.1996.tb00277.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9892.1996.tb00277.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-9892.1996.tb00277.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Naoto Kunitomo & Hiroumi Misaki & Seisho Sato, 2015. "The SIML Estimation of Integrated Covariance and Hedging Coefficient Under Round-off Errors, Micro-market Price Adjustments and Random Sampling," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 22(3), pages 333-368, September.
    2. Hili, Ouagnina, 2001. "Hellinger distance estimation of SSAR models," Statistics & Probability Letters, Elsevier, vol. 53(3), pages 305-314, June.
    3. Hiroumi Misaki & Naoto Kunitomo, 2013. "On Robust Properties of the SIML Estimation of Volatility under Micro-market noise and Random Sampling," CIRJE F-Series CIRJE-F-892, CIRJE, Faculty of Economics, University of Tokyo.
    4. Naoto Kunitomo & Seisho Sato, 2001. "A Generalized SSAR Model and Predictive Distribution with an Application to VaR," CIRJE F-Series CIRJE-F-122, CIRJE, Faculty of Economics, University of Tokyo.
    5. Misaki, Hiroumi & Kunitomo, Naoto, 2015. "On robust properties of the SIML estimation of volatility under micro-market noise and random sampling," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 265-281.
    6. Naoto Kunitomo & Hiroumi Misaki & Seisho Sato, 2015. "The SIML Estimation of Integrated Covariance and Hedging Coefficient under Round-off Errors, Micro-market Price Adjustments and Random Sampling," CIRJE F-Series CIRJE-F-965, CIRJE, Faculty of Economics, University of Tokyo.
    7. Naoto Kunitomo & Hiroumi Misaki, 2013. "The SIML Estimation of Integrated Covariance and Hedging Coefficient under Micro-market noise and Random Sampling," CIRJE F-Series CIRJE-F-893, CIRJE, Faculty of Economics, University of Tokyo.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jtsera:v:17:y:1996:i:3:p:287-307. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0143-9782 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.