IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

Looking far in the past:Revisiting the growth-returns nexus with non-parametric tests

Author Info

  • Ekaterini Panopoulou

    ()

    (Economics, National University of Ireland, Maynooth)

  • N. Pittis
  • S. Kalyvitis

Abstract

In this paper we reexamine the linkages between output growth and real stock price changes for the G7 countries using a battery of non-parametric procedures to account for the impact of long-lagged observations. We find that correlation between growth and returns is detected at larger horizons than those typically employed in parametric studies. The major feedbacks emerge from stock price changes to growth within the first 6 to 12 months, but we show that significant feedbacks may last for up to two or three years. Our evidence also suggests that the correlation patterns differ substantially between the countries at hand when the sectoral share indices are considered.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://repec.maynoothuniversity.ie/mayecw-files/N1660306.pdf
Download Restriction: no

Paper provided by Department of Economics, Finance and Accounting, National University of Ireland - Maynooth in its series Economics, Finance and Accounting Department Working Paper Series with number n1660306.

as
in new window

Length: 30 pages
Date of creation: 2006
Date of revision:
Handle: RePEc:may:mayecw:n1660306
Contact details of provider: Postal:
Maynooth, Co. Kildare

Phone: 353-1-7083728
Fax: 353-1-7083934
Web page: http://www.maynoothuniversity.ie/economics-finance-and-accounting

More information through EDIRC

Keywords: real stock price changes; output growth; long-run covariance matrix;

Other versions of this item:

Find related papers by JEL classification:
  • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
  • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
  • O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Arturo Estrella & Frederic S. Mishkin, 1996. "Predicting U.S. recessions: financial variables as leading indicators," Research Paper 9609, Federal Reserve Bank of New York.
  2. Ekaterini Panopoulou & N. Pittis & S. Kalyvitis, 2006. "Looking far in the past:Revisiting the growth-returns nexus with non-parametric tests," Economics, Finance and Accounting Department Working Paper Series n1660306, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  3. Christis Hassapis, 2003. "Financial variables and real activity in Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 36(2), pages 421-442, May.
  4. Todd E. Clark & Michael W. McCracken, 1999. "Tests of equal forecast accuracy and encompassing for nested models," Research Working Paper 99-11, Federal Reserve Bank of Kansas City.
  5. Lettau, Martin & Ludvigson, Sydney, 2001. "Time-Varying Risk Premia and the Cost of Capital: An Alternative Implication of the Q Theory of Investment," CEPR Discussion Papers 3103, C.E.P.R. Discussion Papers.
  6. Hall, Robert E, 1978. "Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence," Journal of Political Economy, University of Chicago Press, vol. 86(6), pages 971-87, December.
  7. Fumio Hayashi, 1981. "Tobin's Marginal q and Average a : A Neoclassical Interpretation," Discussion Papers 457, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  8. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-65, September.
  9. Toda, Hiro Y & Phillips, Peter C B, 1993. "Vector Autoregressions and Causality," Econometrica, Econometric Society, vol. 61(6), pages 1367-93, November.
  10. Barry Bosworth, 1975. "The Stock Market and the Economy," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 6(2), pages 527-300.
  11. Paolo Mauro, 2000. "Stock Returns and Output Growth in Emerging and Advanced Economies," IMF Working Papers 00/89, International Monetary Fund.
  12. Jay Choi, Jongmoo & Hauser, Shmuel & Kopecky, Kenneth J., 1999. "Does the stock market predict real activity? Time series evidence from the G-7 countries," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1771-1792, December.
  13. Randall Morck & Andrei Shleifer & Robert W. Vishny, 1990. "The Stock Market and Investment: Is the Market a Sideshow?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(2), pages 157-216.
  14. Lütkepohl, Helmut & POSKITT, D.S., 1996. "Testing for Causation Using Infinite Order Vector Autoregressive Processes," Econometric Theory, Cambridge University Press, vol. 12(01), pages 61-87, March.
  15. Stephen D. Smith, 1999. "What do asset prices tell us about the future?," Economic Review, Federal Reserve Bank of Atlanta, issue Q3, pages 4-13.
  16. Dumas, Bernard & Harvey, Campbell R. & Ruiz, Pierre, 2003. "Are correlations of stock returns justified by subsequent changes in national outputs?," Journal of International Money and Finance, Elsevier, vol. 22(6), pages 777-811, November.
  17. Jonathan A. Parker & Christian Julliard, 2004. "Consumption Risk and the Cross-Section of Expected Returns," Working Papers 138, Princeton University, Woodrow Wilson School of Public and International Affairs, Discussion Papers in Economics.
  18. William C. Brainard & James Tobin, 1968. "Pitfalls in Financial Model-Building," Cowles Foundation Discussion Papers 244, Cowles Foundation for Research in Economics, Yale University.
  19. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  20. Mullins, M. & Wadhwani, S., 1988. "The Effect Of The Stock Market On Investment: A Comparative Study," Papers 329, London School of Economics - Centre for Labour Economics.
  21. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-66, July.
  22. James H. Stock & Mark W. Watson, 2001. "Forecasting output and inflation: the role of asset prices," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
  23. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
  24. Luis A. Gil-Alana & Bertrand Candelon, 2004. "Fractional Integration and Business Cycles Features," Faculty Working Papers 09/04, School of Economics and Business Administration, University of Navarra.
  25. Harrison Hong & Terence Lim & Jeremy C. Stein, 2000. "Bad News Travels Slowly: Size, Analyst Coverage, and the Profitability of Momentum Strategies," Journal of Finance, American Finance Association, vol. 55(1), pages 265-295, 02.
  26. Schwert, G William, 1990. " Stock Returns and Real Activity: A Century of Evidence," Journal of Finance, American Finance Association, vol. 45(4), pages 1237-57, September.
  27. Barro, Robert J, 1990. "The Stock Market and Investment," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 115-31.
  28. Hansen, Bruce E, 1992. "Consistent Covariance Matrix Estimation for Dependent Heterogeneous Processes," Econometrica, Econometric Society, vol. 60(4), pages 967-72, July.
  29. Kenneth D. West & Whitney K. Newey, 1995. "Automatic Lag Selection in Covariance Matrix Estimation," NBER Technical Working Papers 0144, National Bureau of Economic Research, Inc.
  30. Todd Clark & Michael McCracken, 2005. "Evaluating Direct Multistep Forecasts," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 369-404.
  31. Fama, Eugene F, 1990. " Stock Returns, Expected Returns, and Real Activity," Journal of Finance, American Finance Association, vol. 45(4), pages 1089-1108, September.
  32. McQueen, Grant & Roley, V Vance, 1993. "Stock Prices, News, and Business Conditions," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 683-707.
  33. Thoma, Mark A & Gray, Jo Anna, 1998. "Financial Market Variables Do Not Predict Real Activity," Economic Inquiry, Western Economic Association International, vol. 36(4), pages 522-39, October.
  34. Blanchard, Olivier J, 1981. "Output, the Stock Market, and Interest Rates," American Economic Review, American Economic Association, vol. 71(1), pages 132-43, March.
  35. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
  36. Robinson, P M, 1991. "Automatic Frequency Domain Inference on Semiparametric and Nonparametric Models," Econometrica, Econometric Society, vol. 59(5), pages 1329-63, September.
  37. repec:cup:etheor:v:12:y:1996:i:1:p:61-87 is not listed on IDEAS
  38. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-73, April.
  39. Donald W.K. Andrews, 1988. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Cowles Foundation Discussion Papers 877R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1989.
  40. Sims, Christopher A & Stock, James H & Watson, Mark W, 1990. "Inference in Linear Time Series Models with Some Unit Roots," Econometrica, Econometric Society, vol. 58(1), pages 113-44, January.
Full references (including those not matched with items on IDEAS)

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

as in new window


Cited by:

  1. Eduard Baumöhl & Štefan Lyócsa, 2014. "How smooth is the stock market integration of CEE-3?," William Davidson Institute Working Papers Series wp1079, William Davidson Institute at the University of Michigan.
  2. Ekaterini Panopoulou & Nikitas Pittis & Sarantis Kalyvitis, 2010. "Looking far in the past: revisiting the growth-returns nexus with non-parametric tests," Empirical Economics, Springer, vol. 38(3), pages 743-766, June.
  3. Lyócsa, Štefan & Výrost, Tomáš & Baumöhl, Eduard, 2012. "Breakdowns and revivals: the long-run relationship between the stock market and real economic activity in the G-7 countries," MPRA Paper 43306, University Library of Munich, Germany.
  4. Panopoulou, Ekaterini, 2009. "Financial variables and euro area growth: A non-parametric causality analysis," Economic Modelling, Elsevier, vol. 26(6), pages 1414-1419, November.
  5. Lyócsa, Štefan, 2014. "Growth-returns nexus: Evidence from three Central and Eastern European countries," Economic Modelling, Elsevier, vol. 42(C), pages 343-355.
  6. Ekaterini Panopoulou, 2006. "The predictive content of financial variables: Evidence from the euro area," The Institute for International Integration Studies Discussion Paper Series iiisdp178, IIIS.
  7. Lyócsa, Štefan & Baumöhl, Eduard & Výrost, Tomáš, 2012. "Stock returns and real activity: the dynamic conditional lagged correlation approach," MPRA Paper 43307, University Library of Munich, Germany.

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Access and download statistics

When requesting a correction, please mention this item's handle: RePEc:may:mayecw:n1660306. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.