IDEAS home Printed from https://ideas.repec.org/a/ibn/ijefaa/v9y2017i6p188-199.html
   My bibliography  Save this article

VECM and Variance Decomposition: An Application to the Consumption-Wealth Ratio

Author

Listed:
  • Francois De Paul Silatchom

Abstract

This study uses a variance decomposition technique, which doesn¡¯t rely on the underlying economic theory, in order to implement a permanent-transitory variance decomposition of the consumption-wealth ratio. We break down the wealth variable into financial assets, tangible assets, and human assets. Using quarterly data over the last six decades, we rely on cointegration analysis as the framework for the study, in order to assess the long-term interrelation between consumption shocks, and those from each of the above mentioned wealth components. Our results indicate that wealth components tend to exhibit permanent shocks, while consumption shocks appear to be transitory. Moreover, the results also indicate a low contemporaneous correlation between shocks in consumption and the ones from financial assets, and also between shocks in consumption and the ones from tangible assets. In addition, the variance decomposition of consumption shocks seems to indicate that, over the time a significantly increasing proportion of consumption shocks is explained by financial assets.

Suggested Citation

  • Francois De Paul Silatchom, 2017. "VECM and Variance Decomposition: An Application to the Consumption-Wealth Ratio," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(6), pages 188-199, June.
  • Handle: RePEc:ibn:ijefaa:v:9:y:2017:i:6:p:188-199
    as

    Download full text from publisher

    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/67490/37137
    Download Restriction: no

    File URL: http://ccsenet.org/journal/index.php/ijef/article/view/67490
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jagannathan, Ravi & Wang, Zhenyu, 1996. "The Conditional CAPM and the Cross-Section of Expected Returns," Journal of Finance, American Finance Association, vol. 51(1), pages 3-53, March.
    2. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    3. Andrew Ang & Geert Bekaert, 2007. "Stock Return Predictability: Is it There?," The Review of Financial Studies, Society for Financial Studies, vol. 20(3), pages 651-707.
    4. Alvarez, Fernando & Jermann, Urban J., 2001. "The Size of the Permanent Component of Asset Pricing Kernels," Working Papers 01-4, University of Pennsylvania, Wharton School, Weiss Center.
    5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    6. Martin Lettau & Sydney Ludvigson, 2001. "Consumption, Aggregate Wealth, and Expected Stock Returns," Journal of Finance, American Finance Association, vol. 56(3), pages 815-849, June.
    7. Lettau, Martin & Ludvigson, Sydney C., 2005. "Expected returns and expected dividend growth," Journal of Financial Economics, Elsevier, vol. 76(3), pages 583-626, June.
    8. John H. Cochrane, 1994. "Permanent and Transitory Components of GNP and Stock Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 241-265.
    9. Martin Lettau & Sydney C. Ludvigson, 2004. "Understanding Trend and Cycle in Asset Values: Reevaluating the Wealth Effect on Consumption," American Economic Review, American Economic Association, vol. 94(1), pages 276-299, March.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Gonzalo, Jesus & Granger, Clive W J, 1995. "Estimation of Common Long-Memory Components in Cointegrated Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(1), pages 27-35, January.
    12. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    13. Cochrane, John H., 2005. "Financial Markets and the Real Economy," Foundations and Trends(R) in Finance, now publishers, vol. 1(1), pages 1-101, July.
    14. Gonzalo, Jesus & Ng, Serena, 2001. "A systematic framework for analyzing the dynamic effects of permanent and transitory shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 25(10), pages 1527-1546, October.
    15. David A. Marshall & Nayan G. Parekh, 1999. "Can Costs of Consumption Adjustment Explain Asset Pricing Puzzles?," Journal of Finance, American Finance Association, vol. 54(2), pages 623-654, April.
    16. Collard, Fabrice & Feve, Patrick & Ghattassi, Imen, 2006. "Predictability and habit persistence," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2217-2260, November.
    17. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
    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. Mathias Hoffmann, 2005. "Proprietary Income, Entrepreneurial Risk and the Predictability of U.S. Stock Returns," Computing in Economics and Finance 2005 229, Society for Computational Economics.
    2. Thomas Nitschka, 2005. "The U.S. consumption-wealth ratio and foreign stock markets: International evidence for return predictability," Money Macro and Finance (MMF) Research Group Conference 2005 22, Money Macro and Finance Research Group.
    3. Chen, Jie, 2006. "Re-evaluating the association between housing wealth and aggregate consumption: New evidence from Sweden," Journal of Housing Economics, Elsevier, vol. 15(4), pages 321-348, December.
    4. Giancarlo Corsetti & Panagiotis T. Konstantinou, 2012. "What Drives US Foreign Borrowing? Evidence on the External Adjustment to Transitory and Permanent Shocks," American Economic Review, American Economic Association, vol. 102(2), pages 1062-1092, April.
    5. Issler, João Victor & Rodrigues, Claudia & Burjack, Rafael, 2014. "Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 310-335.
    6. Caporale, Guglielmo Maria & Sousa, Ricardo M., 2016. "Consumption, wealth, stock and housing returns: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 36(C), pages 562-578.
    7. Britta Hamburg & Mathias Hoffmann & Joachim Keller, 2008. "Consumption, wealth and business cycles in Germany," Empirical Economics, Springer, vol. 34(3), pages 451-476, June.
    8. Lee, Jiho, 2013. "Consumption, financial wealth and labor income in Korea," Japan and the World Economy, Elsevier, vol. 25, pages 59-67.
    9. Chen, Shiu-Sheng & Chou, Yu-Hsi, 2015. "Revisiting the relationship between exchange rates and fundamentals," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 1-22.
    10. Della Corte, Pasquale & Sarno, Lucio & Valente, Giorgio, 2010. "A century of equity premium predictability and the consumption-wealth ratio: An international perspective," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 313-331, June.
    11. Hamburg, Britta & Hoffmann, Mathias & Keller, Joachim, 2005. "Consumption, wealth and business cycles: why is Germany different?," Discussion Paper Series 1: Economic Studies 2005,16, Deutsche Bundesbank.
    12. Yu-Hsi Chou, 2017. "Dissecting Exchange Rates and Fundamentals in the Modern Floating Era: The Role of Permanent and Transitory Shocks," Review of International Economics, Wiley Blackwell, vol. 25(1), pages 165-194, February.
    13. Narayan, Seema & Smyth, Russell, 2015. "The financial econometrics of price discovery and predictability," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 380-393.
    14. Jie Chen & Feng Guo & Aiyong Zhu, 2009. "Housing Wealth, Financial Wealth and Consumption in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 17(3), pages 57-74, May.
    15. Schrimpf, Andreas, 2010. "International stock return predictability under model uncertainty," Journal of International Money and Finance, Elsevier, vol. 29(7), pages 1256-1282, November.
    16. Chen, Jie, 2006. "Housing Wealth and Aggregate Consumption in Sweden," Working Paper Series 2006:16, Uppsala University, Department of Economics.
    17. Hahn, Jaehoon & Lee, Hangyong, 2006. "Interpreting the predictive power of the consumption-wealth ratio," Journal of Empirical Finance, Elsevier, vol. 13(2), pages 183-202, March.
    18. Ghattassi, Imen, 2008. "On the predictive power of the surplus consumption ratio," Finance Research Letters, Elsevier, vol. 5(1), pages 21-31, March.
    19. Jank, Stephan, 2012. "Mutual fund flows, expected returns, and the real economy," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3060-3070.
    20. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, vol. 90(Nov), pages 609-642.

    More about this item

    Keywords

    cointegration; error correction model; variance decomposition; consumption-wealth ratio;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijefaa:v:9:y:2017:i:6:p:188-199. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.