IDEAS home Printed from https://ideas.repec.org/a/taf/macfem/v1y2008i1p105-120.html
   My bibliography  Save this article

Permanent and transitory components of GDP and stock prices: further analysis

Author

Listed:
  • Jesus Gonzalo
  • Tae-Hwy Lee
  • Weiping Yang

Abstract

Using the conventional VAR identification approach, Cochrane (Quarterly Journal of Economics 107: 241-65, 1994) finds that substantial amounts of variation in GDP growth and stock returns are due to transitory shocks. Following the common trend decomposition of King etal. (American Economic Review 81: 819-40, 1991), we show that Cochrane's results depend on the assumption of weak exogeneity of one of the variables with respect to the cointegration vector. When this assumption holds both approaches coincide. If not, the shocks Cochrane called transitory are not totally transitory. In this case, the conventional VAR approach with the assumption of the weak exogeneity may overstate the magnitude of transitory shocks and understate that of permanent shocks. We find that the permanent components of GDP and stock prices are much larger than those estimates of Cochrane, although substantial (but much smaller than in Cochrane 1994) variations in GDP growth and stock returns are attributed to transitory shocks.

Suggested Citation

  • Jesus Gonzalo & Tae-Hwy Lee & Weiping Yang, 2008. "Permanent and transitory components of GDP and stock prices: further analysis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 105-120.
    • Handle: RePEc:taf:macfem:v:1:y:2008:i:1:p:105-120
    DOI: 10.1080/17520840701864955
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/17520840701864955
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17520840701864955?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert B. Barsky & J. Bradford De Long, 1993. "Why Does the Stock Market Fluctuate?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(2), pages 291-311.
    2. Bansal, Ravi & Lundblad, Christian, 2002. "Market efficiency, asset returns, and the size of the risk premium in global equity markets," Journal of Econometrics, Elsevier, vol. 109(2), pages 195-237, August.
    3. Ribba, Antonio, 1997. "A note on the equivalence of long-run and short-run identifying restrictions in cointegrated systems," Economics Letters, Elsevier, vol. 56(3), pages 273-276, November.
    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. Nazliben, K. Korhan & Rodríguez, Juan Carlos, 2018. "Permanent shocks, signal extraction, and portfolio selection," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 47-68.
    2. Clegg, Matthew & Krauss, Christopher & Rende, Jonas, 2017. "partialCI: An R package for the analysis of partially cointegrated time series," FAU Discussion Papers in Economics 05/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.

    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. Bansal, Ravi & Khatchatrian, Varoujan & Yaron, Amir, 2005. "Interpretable asset markets?," European Economic Review, Elsevier, vol. 49(3), pages 531-560, April.
    2. Manzan, S., 2003. "Nonlinear Mean Reversion in Stock Prices," CeNDEF Working Papers 03-02, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    3. Miguel Henry & George Judge, 2019. "Permutation Entropy and Information Recovery in Nonlinear Dynamic Economic Time Series," Econometrics, MDPI, vol. 7(1), pages 1-16, March.
    4. Bekaert, Geert & Engstrom, Eric & Grenadier, Steven R., 2010. "Stock and bond returns with Moody Investors," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 867-894, December.
    5. Ravi Bansal, 2007. "Long-run risks and financial markets," Review, Federal Reserve Bank of St. Louis, vol. 89(Jul), pages 283-300.
    6. Reitz, Stefan, 2006. "On the predictive content of technical analysis," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 121-137, August.
    7. Lars Lochstoer & Harjoat S. Bhamra, 2009. "Return Predictability and Labor Market Frictions in a Real Business Cycle Model," 2009 Meeting Papers 1257, Society for Economic Dynamics.
    8. Hyeon-seung Huh & Yeana Lee, 2012. "A note on the equivalence of the Blanchard and Quah (1989) and Sims (1980) identification procedures," Economics Bulletin, AccessEcon, vol. 32(3), pages 2646-2652.
    9. Madsen, Jakob B., 2002. "The share market boom and the recent disinflation in the OECD countries: the tax-effects, the inflation-illusion and the risk-aversion hypotheses reconsidered1," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(1), pages 115-141.
    10. Nathan S. Balke & Mark E. Wohar, 2006. "What Drives Stock Prices? Identifying the Determinants of Stock Price Movements," Southern Economic Journal, John Wiley & Sons, vol. 73(1), pages 55-78, July.
    11. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    12. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Conţinutul analizei seriilor de timp financiare [The Essentials of the Analysis of Financial Time Series]," MPRA Paper 67175, University Library of Munich, Germany.
    13. Bekaert, Geert & Engstrom, Eric & Xing, Yuhang, 2009. "Risk, uncertainty, and asset prices," Journal of Financial Economics, Elsevier, vol. 91(1), pages 59-82, January.
    14. Ribba, Antonio, 2003. "Permanent-transitory decompositions and traditional measures of core inflation," Economics Letters, Elsevier, vol. 81(1), pages 109-116, October.
    15. Boubakri, Salem & Guillaumin, Cyriac, 2011. "Financial integration and currency risk premium in CEECs: Evidence from the ICAPM," Emerging Markets Review, Elsevier, vol. 12(4), pages 460-484.
    16. Ricardo De La O & Sean Myers, 2021. "Subjective Cash Flow and Discount Rate Expectations," Journal of Finance, American Finance Association, vol. 76(3), pages 1339-1387, June.
    17. John Y. Campbell & John Cochrane, 1999. "Force of Habit: A Consumption-Based Explanation of Aggregate Stock Market Behavior," Journal of Political Economy, University of Chicago Press, vol. 107(2), pages 205-251, April.
    18. Shively, Philip A., 2007. "Asymmetric temporary and permanent stock-price innovations," Journal of Empirical Finance, Elsevier, vol. 14(1), pages 120-130, January.
    19. Gelain, Paolo & Lansing, Kevin J., 2014. "House prices, expectations, and time-varying fundamentals," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 3-25.
    20. Madsen, Jakob B. & Milas, Costas, 2005. "The price-dividend relationship in inflationary and deflationary regimes," Finance Research Letters, Elsevier, vol. 2(4), pages 260-269, December.

    More about this item

    Keywords

    permanent components; transitory components; weak exogeneity; cointegration; VAR;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)

    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:macfem:v:1:y:2008:i:1:p:105-120. 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/REME20 .

    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.