IDEAS home Printed from https://ideas.repec.org/p/snb/snbwpa/2014-01.html
   My bibliography  Save this paper

The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?

Author

Listed:
  • Thomas Nitschka

Abstract

Based on a vector autoregressive model, this paper shows that time variation in monthly excess returns on Swiss government bonds and stocks is predominantly driven by news of inflation and dividends, respectively. This finding is in marked contrast to US evidence which points to a more prominent role of excess return news in this respect. The bond market findings for both Switzerland and the US are consistent with the view that market participants put more weight on news of macroeconomic, i.e. long-term inflation, risks in periods of exceptionally low real interest rates and in crisis periods than in normal times.

Suggested Citation

  • Thomas Nitschka, 2014. "The Good? The Bad? The Ugly? Which news drive (co)variation in Swiss and US bond and stock excess returns?," Working Papers 2014-01, Swiss National Bank.
  • Handle: RePEc:snb:snbwpa:2014-01
    as

    Download full text from publisher

    File URL: https://www.snb.ch/n/mmr/reference/working_paper_2014_01/source/working_paper_2014_01.n.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Campbell, John Y & Ammer, John, 1993. "What Moves the Stock and Bond Markets? A Variance Decomposition for Long-Term Asset Returns," Journal of Finance, American Finance Association, vol. 48(1), pages 3-37, March.
    2. Shiller, Robert J. & Beltratti, Andrea E., 1992. "Stock prices and bond yields : Can their comovements be explained in terms of present value models?," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 25-46, October.
    3. Atanasov, Victoria & Nitschka, Thomas, 2015. "Foreign Currency Returns and Systematic Risks," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 50(1-2), pages 231-250, April.
    4. Chen, Long, 2009. "On the reversal of return and dividend growth predictability: A tale of two periods," Journal of Financial Economics, Elsevier, vol. 92(1), pages 128-151, April.
    5. Campbell, John Y, 1991. "A Variance Decomposition for Stock Returns," Economic Journal, Royal Economic Society, vol. 101(405), pages 157-179, March.
    6. Kugler, Peter & Weder, Beatrice, 2005. "Why are Returns on Swiss Franc Asset so Low?," Working papers 2005/08, Faculty of Business and Economics - University of Basel.
    7. John H. Cochrane, 2011. "Presidential Address: Discount Rates," Journal of Finance, American Finance Association, vol. 66(4), pages 1047-1108, August.
    8. 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.
    9. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    10. John Y. Campbell & Stefano Giglio & Christopher Polk, 2013. "Hard Times," Review of Asset Pricing Studies, Oxford University Press, vol. 3(1), pages 95-132.
      • John Y. Campbell & Stefano Giglio & Christopher Polk, 2010. "Hard Times," NBER Working Papers 16222, National Bureau of Economic Research, Inc.
      • Campbell, John Y. & Giglio, Stefano & Polk, Christopher, 2013. "Hard Times," Scholarly Articles 12172786, Harvard University Department of Economics.
    11. Engsted, Tom & Pedersen, Thomas Q. & Tanggaard, Carsten, 2012. "Pitfalls in VAR based return decompositions: A clarification," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1255-1265.
    12. JULES H. Van BINSBERGEN & RALPH S. J. KOIJEN, 2010. "Predictive Regressions: A Present‐Value Approach," Journal of Finance, American Finance Association, vol. 65(4), pages 1439-1471, August.
    13. Grisse, Christian & Nitschka, Thomas, 2015. "On financial risk and the safe haven characteristics of Swiss franc exchange rates," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 153-164.
    14. Engsted, Tom & Pedersen, Thomas Q., 2010. "The dividend-price ratio does predict dividend growth: International evidence," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 585-605, September.
    15. John H. Cochrane, 2008. "The Dog That Did Not Bark: A Defense of Return Predictability," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1533-1575, July.
    16. Angelo Ranaldo & Paul Söderlind, 2010. "Safe Haven Currencies," Review of Finance, European Finance Association, vol. 14(3), pages 385-407.
    17. Mathias Hoffmann & Rahel Suter, 2010. "The Swiss Franc Exchange Rate and Deviations from Uncovered Interest Parity: Global vs Domestic Factors," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 146(I), pages 349-371, March.
    18. J. Bradford De Long & Marco Becht, 1992. ""Excess Volatility" and the German Stock Market, 1876-1990," NBER Working Papers 4054, National Bureau of Economic Research, Inc.
    19. Habib, Maurizio M. & Stracca, Livio, 2012. "Getting beyond carry trade: What makes a safe haven currency?," Journal of International Economics, Elsevier, vol. 87(1), pages 50-64.
    20. Long Chen & Xinlei Zhao, 2009. "Return Decomposition," Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5213-5249, December.
    21. Engsted, Tom & Tanggaard, Carsten, 2001. "The Danish stock and bond markets: comovement, return predictability and variance decomposition," Journal of Empirical Finance, Elsevier, vol. 8(3), pages 243-271, July.
    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. David Haab & Thomas Nitschka, 2017. "Predicting returns on asset markets of a small, open economy and the influence of global risks," Working Papers 2017-14, Swiss National Bank.

    More about this item

    Keywords

    bond return; news components; stock return; variance decomposition;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:snb:snbwpa:2014-01. 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: (Enzo Rossi). General contact details of provider: http://edirc.repec.org/data/snbgvch.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.