IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v19y2009i7p509-525.html
   My bibliography  Save this article

Industry-level stock returns volatility and aggregate economic activity in Australia

Author

Listed:
  • Md. Arifur Rahman

Abstract

Drawing upon rationales from the theories of investment and consumption under uncertainty and the models of sectoral reallocation, we assess the implications of industry-level stock returns volatility for the future state of the Australian economy in terms of real Gross Domestic Product (GDP) growth, inflation and unemployment. By explicitly modelling the cyclical pattern of industry-level volatility and relating it to corresponding cyclical behaviour of macroeconomic variables, we show that industry-level volatility is a leading indicator of the movements in output growth and inflation. We find complementary evidence from a Vector Autoregression (VAR) based multi-step Granger causality test and impulse response analysis. However, the forecast error variance decompositions suggest that although the industry-level volatility accounts for a significant fraction of the forecast error of inflation, this explains only a small fraction of output and unemployment uncertainties. Further analysis indicates that industry-level volatility contains better information about the future state of the economy than does aggregate stock market volatility

Suggested Citation

  • Md. Arifur Rahman, 2009. "Industry-level stock returns volatility and aggregate economic activity in Australia," Applied Financial Economics, Taylor & Francis Journals, vol. 19(7), pages 509-525.
    • Handle: RePEc:taf:apfiec:v:19:y:2009:i:7:p:509-525
    DOI: 10.1080/09603100802359968
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/09603100802359968
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603100802359968?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    2. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Bernard Ben Sita, 2013. "Volatility links between US industries," Applied Financial Economics, Taylor & Francis Journals, vol. 23(15), pages 1273-1286, August.
    2. Vu, Nam T., 2015. "Stock market volatility and international business cycle dynamics: Evidence from OECD economies," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 1-15.
    3. Thampanya, Natthinee & Wu, Junjie & Nasir, Muhammad Ali & Liu, Jia, 2020. "Fundamental and behavioural determinants of stock return volatility in ASEAN-5 countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    4. Holmes, Mark J. & Maghrebi, Nabil, 2016. "Financial market impact on the real economy: An assessment of asymmetries and volatility linkages between the stock market and unemployment rate," The Journal of Economic Asymmetries, Elsevier, vol. 13(C), pages 1-7.

    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. J. Cuñado & L. Gil-Alana & F. Gracia, 2009. "US stock market volatility persistence: evidence before and after the burst of the IT bubble," Review of Quantitative Finance and Accounting, Springer, vol. 33(3), pages 233-252, October.
    2. Harding, Don & Pagan, Adrian, 2011. "An Econometric Analysis of Some Models for Constructed Binary Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 86-95.
    3. Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016. "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, vol. 32(2), pages 283-292.
    4. Chun-Chang Lee & Chih-Min Liang & Hsing-Jung Chou, 2013. "Identifying Taiwan real estate cycle turning points- An application of the multivariate Markov-switching autoregressive Model," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 3(2), pages 1-1.
    5. Agnello, Luca & Nerlich, Carolin, 2012. "On the severity of economic downturns: Lessons from cross-country evidence," Economics Letters, Elsevier, vol. 117(1), pages 149-155.
    6. Mr. Thomas Helbling & Mr. Tamim Bayoumi, 2003. "Are they All in the Same Boat? the 2000-2001 Growth Slowdown and the G-7 Business Cycle Linkages," IMF Working Papers 2003/046, International Monetary Fund.
    7. Ghoshray, Atanu, 2021. "Are coffee farmers worse off in the long run?," 95th Annual Conference, March 29-30, 2021, Warwick, UK (Hybrid) 311084, Agricultural Economics Society - AES.
    8. Theobald, Thomas, 2013. "Markov Switching with Endogenous Number of Regimes and Leading Indicators in a Real-Time Business Cycle Forecast," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79911, Verein für Socialpolitik / German Economic Association.
    9. M.S.Rafiq, 2006. "Business Cycle Moderation - Good Policies or Good Luck: Evidence and Explanations for the Euro Area," Discussion Paper Series 2006_21, Department of Economics, Loughborough University.
    10. Sergey V. Smirnov & Nikolay V. Kondrashov & Anna V. Petronevich, 2017. "Dating Cyclical Turning Points for Russia: Formal Methods and Informal Choices," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(1), pages 53-73, May.
    11. Pablo García S. & Camilo Pérez N., 2017. "Desigualdad, inflación, ciclos y crisis en Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 44(2 Year 20), pages 185-221, December.
    12. Viviana Alejandra Alfonso & Luis Eduardo Arango Thomas & Fernando Arias & José David Pulido, 2011. "Ciclos de negocios en Colombia: 1980-2010," Borradores de Economia 8328, Banco de la Republica.
    13. Grigoraş, Veaceslav & Stanciu, Irina Eusignia, 2016. "New evidence on the (de)synchronisation of business cycles: Reshaping the European business cycle," International Economics, Elsevier, vol. 147(C), pages 27-52.
    14. Vitor Castro, 2015. "The Portuguese business cycle: chronology and duration dependence," Empirical Economics, Springer, vol. 49(1), pages 325-342, August.
    15. Rachel Male, 2010. "Developing Country Business Cycles: Characterising the Cycle," Working Papers 663, Queen Mary University of London, School of Economics and Finance.
    16. Avouyi-Dovi, S. & Matheron, J., 2003. "Interactions between business cycles, stock market cycles and interest rates: the stylised facts," Financial Stability Review, Banque de France, issue 3, pages 80-99, November.
    17. Yongsung Chang & Sunoong Hwang, 2015. "Asymmetric Phase Shifts in U.S. Industrial Production Cycles," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 116-133, March.
    18. Pami Dua & Anirvan Banerji, 2011. "Predicting Recessions and Slowdowns: A Robust Approach," Working Papers id:4391, eSocialSciences.
    19. Fatma Erdem & Erdal Özmen, 2015. "Exchange Rate Regimes and Business Cycles: An Empirical Investigation," Open Economies Review, Springer, vol. 26(5), pages 1041-1058, November.
    20. Calderón, César & Fuentes, J. Rodrigo, 2014. "Have business cycles changed over the last two decades? An empirical investigation," Journal of Development Economics, Elsevier, vol. 109(C), pages 98-123.

    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:taf:apfiec:v:19:y:2009:i:7:p:509-525. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAFE20 .

    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.