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Autoregressive Lag Length Selection Criteria in the Presence of ARCH Errors

Author

Listed:
  • Venus Khim-Sen Liew

    (SPKAL, Universiti Malaysia Sabah)

  • Terence Tai-leung Chong

    (Department of Economics, The Chinese University of Hong Kong)

Abstract

We study the effects of ARCH errors on the performance of the commonly used lag length selection criteria. The most important finding of this study is that SIC, FPE, HQC and BIC perform considerably well in estimating the true autoregressive lag length, even in the presence of ARCH errors. Thus, we conclude that these criteria are applicable to empirical data such as stock market returns and exchange rate volatility that exhibit ARCH effects.

Suggested Citation

  • Venus Khim-Sen Liew & Terence Tai-leung Chong, 2005. "Autoregressive Lag Length Selection Criteria in the Presence of ARCH Errors," Economics Bulletin, AccessEcon, vol. 3(19), pages 1-5.
    • Handle: RePEc:ebl:ecbull:eb-05c20011
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    References listed on IDEAS

    as
    1. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    2. Engle, Robert F & Ito, Takatoshi & Lin, Wen-Ling, 1990. "Meteor Showers or Heat Waves? Heteroskedastic Intra-daily Volatility in the Foreign Exchange Market," Econometrica, Econometric Society, vol. 58(3), pages 525-542, May.
    3. C. C. Bautista, 2003. "Stock market volatility in the Philippines," Applied Economics Letters, Taylor & Francis Journals, vol. 10(5), pages 315-318, April.
    4. Speight, Alan E. H. & McMillan, David G., 2001. "Volatility spillovers in East European black-market exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 367-378, June.
    5. Ming-Yuan Leon Li & Hsiou-wei William Lin, 2004. "Estimating value-at-risk via Markov switching ARCH models - an empirical study on stock index returns," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 679-691.
    6. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Ahmed Bensaida, 2012. "Improving the Forecasting Power of Volatility Models," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(3), pages 51-64, July.
    2. Bayraci, Selcuk, 2007. "Modeling the volatility of FTSE All Share Index Returns," MPRA Paper 28095, University Library of Munich, Germany.
    3. Terence Tai-Leung Chong & Chi-Leung Wong & Venus Liew, 2006. "Estimation of the Autoregressive Order in the Presence of Measurement Errors," Economics Bulletin, AccessEcon, vol. 3(12), pages 1-10.
    4. Hafidh, Aula Ahmad, 2021. "Responses of Islamic banking variables to monetary policy shocks in Indonesia," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 28, pages 174-190.
    5. Venus Khim-sen Liew & Terence Tai- leung Chong, 2003. "Effects of STAR and TAR types nonlinearities on order selection criteria," Econometrics 0307005, University Library of Munich, Germany.
    6. repec:ebl:ecbull:v:3:y:2006:i:12:p:1-10 is not listed on IDEAS

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    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables

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