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Modeling and forecasting trading volume index: GARCH versus TGARCH approach

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  • Sabiruzzaman, Md.
  • Monimul Huq, Md.
  • Beg, Rabiul Alam
  • Anwar, Sajid

Abstract

Volatility has been described as an indicator of uncertainty which has implications for investment decisions, risk management as well as monetary policy. This paper investigates the pattern of volatility in the daily trading volume index of Hong Kong stock exchange. The empirical evidence provided in this paper suggests that TGARCH specification is superior to GARCH specification. This is particularly important when one is dealing with the case of asymmetric information that captures the leverage effect of the volatile stock market.

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  • Sabiruzzaman, Md. & Monimul Huq, Md. & Beg, Rabiul Alam & Anwar, Sajid, 2010. "Modeling and forecasting trading volume index: GARCH versus TGARCH approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 141-145, May.
    • Handle: RePEc:eee:quaeco:v:50:y:2010:i:2:p:141-145
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    2. Morales, Lucía & Gassie, Esmeralda, 2011. "Structural breaks and financial volatility: Lessons from BRIC countries," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 13, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
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    5. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
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    7. Lin, Yu & Lu, Qin & Tan, Bin & Yu, Yuanyuan, 2022. "Forecasting energy prices using a novel hybrid model with variational mode decomposition," Energy, Elsevier, vol. 246(C).
    8. Yang, Yaxing & Ling, Shiqing, 2017. "Self-weighted LAD-based inference for heavy-tailed threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 197(2), pages 368-381.

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