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On Stock Return Seasonality And Conditional Heteroskedasticity

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  • Kenneth Beller
  • John R. Nofsinger

Abstract

We model the seasonal volatility of stock returns using GARCH specifications and size-sorted portfolios. Estimation results indicate that there are volatility differences between months and that these seasonal volatility patterns are conditional on firm size. Additionally, we find that seasonal volatility does not explain seasonal returns when the reward for risk is held constant over the sample period. Specifically, our results indicate that much of the abnormal return in January for small firms cannot be entirely attributed to either higher systematic risk or a higher risk premium in January.

Suggested Citation

  • Kenneth Beller & John R. Nofsinger, 1998. "On Stock Return Seasonality And Conditional Heteroskedasticity," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 21(2), pages 229-246, June.
    • Handle: RePEc:bla:jfnres:v:21:y:1998:i:2:p:229-246
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    File URL: http://hdl.handle.net/10.1111/j.1475-6803.1998.tb00682.x
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    References listed on IDEAS

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    2. Wang, Jianxin, 2022. "Market distraction and near-zero daily volatility persistence," International Review of Financial Analysis, Elsevier, vol. 80(C).
    3. Catherine Kyrtsou & Michel Terraza, 2010. "Seasonal Mackey–Glass–GARCH process and short-term dynamics," Empirical Economics, Springer, vol. 38(2), pages 325-345, April.
    4. M. Kabir Hassan & Anisul M. Islam & Syed Abul Basher, 2000. "Market Efficiency, Time-Varying Volatility and Equity Returns in Bangladesh Stock Market," Working Papers 2002_6, York University, Department of Economics, revised Jun 2002.
    5. Seyyed, Fazal J. & Abraham, Abraham & Al-Hajji, Mohsen, 2005. "Seasonality in stock returns and volatility: The Ramadan effect," Research in International Business and Finance, Elsevier, vol. 19(3), pages 374-383, September.
    6. Halari, Anwar & Tantisantiwong, Nongnuch & Power, David. M. & Helliar, Christine, 2015. "Islamic calendar anomalies: Evidence from Pakistani firm-level data," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 64-73.
    7. Aknouche, Abdelhakim & Al-Eid, Eid & Demouche, Nacer, 2016. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," MPRA Paper 75770, University Library of Munich, Germany, revised 19 Dec 2016.
    8. Sun, Qian & Tong, Wilson H.S., 2010. "Risk and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 965-974, May.
    9. Abdelhakim Aknouche & Eid Al-Eid & Nacer Demouche, 2018. "Generalized quasi-maximum likelihood inference for periodic conditionally heteroskedastic models," Statistical Inference for Stochastic Processes, Springer, vol. 21(3), pages 485-511, October.
    10. Christos Avdoulas & Stelios Bekiros & Sabri Boubaker, 2018. "Evolutionary-based return forecasting with nonlinear STAR models: evidence from the Eurozone peripheral stock markets," Annals of Operations Research, Springer, vol. 262(2), pages 307-333, March.
    11. Tantisantiwong, Nongnuch & Halari, Anwar & Helliar, Christine & Power, David, 2018. "East meets West: When the Islamic and Gregorian calendars coincide," The British Accounting Review, Elsevier, vol. 50(4), pages 402-424.
    12. Kyrtsou, Catherine & Malliaris, Anastasios G., 2009. "The impact of information signals on market prices when agents have non-linear trading rules," Economic Modelling, Elsevier, vol. 26(1), pages 167-176, January.

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