IDEAS home Printed from https://ideas.repec.org/p/gra/wpaper/08-17.html
   My bibliography  Save this paper

Effects of Macroeconomic Announcements on Stock Returns across Volatility Regimes

Author

Listed:
  • Henry Aray

    (Department of Economic Theory and Economic History, University of Granada.)

Abstract

Based on a simple Markov regime switching model, this article presents evidence on the effects of macroeconomic announcements on individual stocks returns. The model specification allows two regimes to be distinguished: one with high volatility and the other with low volatility. Considering the level of significance at 5%, the response of stock returns to macroeconomic announcements is much stronger in the low volatility regime. However, the effects of the Fama-French factors on individual stock returns is unambiguously significant in both regimes.

Suggested Citation

  • Henry Aray, 2008. "Effects of Macroeconomic Announcements on Stock Returns across Volatility Regimes," ThE Papers 08/17, Department of Economic Theory and Economic History of the University of Granada..
  • Handle: RePEc:gra:wpaper:08/17
    as

    Download full text from publisher

    File URL: http://www.ugr.es/~teoriahe/RePEc/gra/wpaper/thepapers08_17.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    2. Gardeazabal, Javier & Regulez, Marta, 2004. "A factor model of seasonality in stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 224-236, May.
    3. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carol Alexander & Anca Dimitriu, 2005. "Indexing, cointegration and equity market regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 213-231.
    2. Cowan, Adrian M. & Joutz, Frederick L., 2006. "An unobserved component model of asset pricing across financial markets," International Review of Financial Analysis, Elsevier, vol. 15(1), pages 86-107.
    3. Ahmad, Wasim & Kutan, Ali M. & Chahal, Rishman Jot Kaur & Kattumuri, Ruth, 2021. "COVID-19 Pandemic and firm-level dynamics in the USA, UK, Europe, and Japan," International Review of Financial Analysis, Elsevier, vol. 78(C).
    4. Henry Aray, 2006. "The Latin American and Spanish Stock markets," ThE Papers 06/12, Department of Economic Theory and Economic History of the University of Granada..
    5. Cheema, Muhammad A. & Scrimgeour, Frank, 2019. "Oil prices and stock market anomalies," Energy Economics, Elsevier, vol. 83(C), pages 578-587.
    6. Battulga Gankhuu, 2022. "Parameter Estimation Methods of Required Rate of Return on Stock," Papers 2206.09657, arXiv.org, revised Jul 2022.
    7. Carlo Rosa, 2022. "Understanding intraday momentum strategies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2218-2234, December.
    8. Kim, Myeong Hyeon & Kim, Baeho, 2014. "Systematic cyclicality of systemic bubbles: Evidence from the U.S. commercial banking system," Journal of Macroeconomics, Elsevier, vol. 42(C), pages 281-297.
    9. Carl Chiarella & Roberto Dieci & Xue-Zhong He, 2013. "Time-varying beta: a boundedly rational equilibrium approach," Journal of Evolutionary Economics, Springer, vol. 23(3), pages 609-639, July.
    10. Sheng Fang & Xinsheng Lu & Paul G. Egan, 2018. "Reinvestigating the Oil Price–Stock Market Nexus: Evidence from Chinese Industry Stock Returns," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 26(3), pages 43-62, May.
    11. Robert J Bianchi & Adam E Clements & Michael E Drew, 2009. "HACking at Non-linearity: Evidence from Stocks and Bonds," School of Economics and Finance Discussion Papers and Working Papers Series 244, School of Economics and Finance, Queensland University of Technology.
    12. Battulga Gankhuu, 2023. "Parameter Estimation Methods of Required Rate of Return," Papers 2305.19708, arXiv.org, revised Aug 2023.
    13. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    14. Guidolin, Massimo & Ono, Sadayuki, 2006. "Are the dynamic linkages between the macroeconomy and asset prices time-varying?," Journal of Economics and Business, Elsevier, vol. 58(5-6), pages 480-518.
    15. Henkel, Sam James & Martin, J. Spencer & Nardari, Federico, 2011. "Time-varying short-horizon predictability," Journal of Financial Economics, Elsevier, vol. 99(3), pages 560-580, March.
    16. Auer, Benjamin R. & Rottmann, Horst, 2019. "Have capital market anomalies worldwide attenuated in the recent era of high liquidity and trading activity?," Journal of Economics and Business, Elsevier, vol. 103(C), pages 61-79.
    17. Betty Agnani & Henry Aray, 2011. "The January effect across volatility regimes," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 947-953.
    18. Golam Sarwar & Cesario Mateus & Natasa Todorovic, 2017. "A tale of two states: asymmetries in the UK small, value and momentum premiums," Applied Economics, Taylor & Francis Journals, vol. 49(5), pages 456-476, January.
    19. Mohammad Enamul Hoque & Soo-Wah Low & Mohd Azlan Shah Zaidi, 2020. "The Effects of Oil and Gas Risk Factors on Malaysian Oil and Gas Stock Returns: Do They Vary?," Energies, MDPI, vol. 13(15), pages 1-22, July.
    20. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.

    More about this item

    Keywords

    Markov Switching Model; Macroeconomic announcements; Stock Returns.;
    All these keywords.

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gra:wpaper:08/17. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Angel Solano Garcia. (email available below). General contact details of provider: https://edirc.repec.org/data/dtugres.html .

    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.