Skip to main content

Gold Market and Selected Stock MarketsGranger Causality Analysis

  • Conference paper
  • First Online:
Effective Investments on Capital Markets

Abstract

The aim of the paper was to examine the bidirectional linkages between gold returns and stock indices returns. Four indices were considered (S&P500, NIKKEI, DAX, WIG). To achieve this goal, the augmented Dickey–Fuller test (ADF), Engle–Granger, and Johansen cointegration tests were applied. On the basis of the vector autoregressive (VAR) model, the Granger causality test was carried out to investigate causality between the analyzed time series. In this context, the following study hypothesis was formulated: Rates of return on stock markets were the Granger cause of the rates of return on the gold market. The research covered the period between January 1, 1997, and March 31, 2018, and two subperiods (bull and bear markets). The comparison of results for alternative VAR models estimated by employing daily and monthly data was presented. Studies for daily data have shown that feedback Granger causality appeared in four cases and the unidirectional causality was identified in eight cases. Referring to monthly data, no evidence of feedback causality was found. The unidirectional causality was present in five cases.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anand, R., Madhogari, S.: Is gold a ‘Safe-Haven’?—an econometric analysis. In: International Conference on Applied Economics (ICOAE) 2012. Procedia Economics and Finance 1, pp 24–33 (2012). https://doi.org/10.1016/S2212-5671(12)00005-6

    Article  Google Scholar 

  2. Arouri, M., Lahian, A., Nguyen, D.K.: World gold prices and stock returns in China: insights for hedging and diversification strategies. Econ. Model. 44, 273–282 (2015). https://doi.org/10.1016/j.econmod.2014.10.030

    Article  Google Scholar 

  3. Aydin, A.D., Caliskan Cavdar, S.: Two different points of view through artificial intelligence and vector autoregressive models for ex post and ex ante forecasting. Comput. Intell. Neurosci. 2015 (2015), https://doi.org/10.1155/2015/409361

    Article  Google Scholar 

  4. Bampinas, G., Panagiotidis, T.: Are gold and silver a hedge against inflation? A two century perspective. Int. Rev. Finan. Anal. 41, 267–276 (2015). https://doi.org/10.1016/j.irfa.2015.02.007

    Article  Google Scholar 

  5. Baur, D.G., Tran, D.T.: The long-run relationship of gold and silver and the influence of bubbles and financial crises. Empirical Econ. 47(4), 1525–1541 (2014). https://doi.org/10.1007/s00181-013-0787-1

    Article  Google Scholar 

  6. Baur, D.G., Lucey, B.M.: Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financ. Rev. 45, 217–229 (2010)

    Article  Google Scholar 

  7. Baur, D.G., McDermott, T.K.: Is gold a safe haven? International evidence. J. Bank. Financ. 34(8), 1886–1898 (2010). https://doi.org/10.1016/j.jbankfin.2009.12.008

    Article  Google Scholar 

  8. Bayraci S, Ari Y, Yildirim Y (2011): A Vector Auto-Regressive (VAR) Model for the Turkish Financial Markets. https://mpra.ub.uni-muenchen.de/id/eprint/30475 (last accessed 26.10.2018)

  9. Beckmann, J., Berger, T., Czudaj, R.: Does Gold Act as a Hedge or a Safe Haven for Stocks? A Smooth Transition Approach. Economic Modelling 48(8), 16–24 (2015). https://doi.org/10.1016/j.econmod.2014.10.044

    Article  Google Scholar 

  10. Capie, F., Mills, T.C., Wood, G.: Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money 15(4), 343–352 (2005). https://doi.org/10.1016/j.intfin.2004.07.002

    Article  Google Scholar 

  11. Changa, C.-L., Della Chang, J.-C., Huang, Y.-W.: Dynamic price integration in the global gold market. North Am. J. Econ. Financ 26, 227–235 (2013). https://doi.org/10.1016/j.najef.2013.02.002

    Article  Google Scholar 

  12. Charemza, W.W., Deadman, D.F.: Nowa ekonometria. PWE, Warszawa (1997)

    Google Scholar 

  13. Chua, J., Stick, G., Woodward, R.: Diversifying with gold stocks. Financ. Anal. J. 46(4), 76–79 (1990)

    Article  Google Scholar 

  14. Demidova-Menzel, N., Heidorn, T.: Gold in the investment portfolio. Frankfurt School—Working Paper Series 87, 3–45 (2007)

    Google Scholar 

  15. Eryiğit, M.: Short-term and long-term relationships between gold prices and precious metal (Palladium, Silver and Platinum) and energy (Crude Oil and Gasoline) prices. Econ. Research-Ekonomska Istraživanja 30(1), 499–510 (2017). https://doi.org/10.1080/1331677X.2017.1305778

    Article  Google Scholar 

  16. Ghazali, M.F., Lean, H.H., Bahari, Z.: Is gold a good hedge against inflation? Empirical evidence in Malaysia, Kajian Malaysia 33, Supp. 1, 69–84

    Google Scholar 

  17. Gujarati, D.N.: Basic econometrics, 4th edn. McGraw Hill, Boston (2003)

    Google Scholar 

  18. Kasprzak-Czelej, A.B.: Inwestycje w złoto jako zabezpieczenie przed inflacją w Polsce. Annales Universitatis Maria Curie - Skłodowska Lublin Polonia, Sectio H (Oeconomia), XLIX (4), 205–2014 (2015), http://dx.doi.org/10.17951/h.2015.49.4.205

  19. Krawiec, M.: Testing the granger causality for commodity mutual funds in Poland and commodity prices. Metody Ilościowe w Badaniach Ekonomicznych/Quant. Methods Econ. XIII 2, 84–95 (2012)

    Google Scholar 

  20. Kusideł, E.: Modele wektorowo-autoregresyjne VAR. Metodologia i zastosowanie, Absolwent, Lodz (2000)

    Google Scholar 

  21. Le, T.-H., Chang, Y.: Oil price shocks and gold returns. Int. Econ. 131, 71–104 (2012). https://doi.org/10.1016/S2110-7017(13)60055-4

    Article  Google Scholar 

  22. Lucey, B.M., Li, S.: What precious metals act as safe havens and when? Some US evidence. Appl. Econ. Lett. 22(1), 35–45 (2015). https://doi.org/10.1080/13504851.2014.920471

    Article  Google Scholar 

  23. National Bank of Poland (NBP). https://www.nbp.pl/

  24. Osińska, M.: Ekonometryczna analiza zależności przyczynowych. Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, Torun (2008)

    Google Scholar 

  25. Schweikert, K.: Are gold and silver cointegrated? New evidence from quantile cointegrating regressions. J. Bank. Finance 88, 44–51 (2018). https://doi.org/10.1016/j.jbankfin.2017.11.010

    Article  Google Scholar 

  26. Shaique, M., Aziz, A., Herani, G.M.: Impact of gold prices on stock exchange market: a case of Karachi stock exchange market of Pakistan. Int. J. Acc. Econ. Stud. 4(1), 60–63 (2016). https://doi.org/10.14419/ijaes.v4i1.5899

    Article  Google Scholar 

  27. Steiner, M., Bruns, C.: Wertpapiermanagement. Schäffer Poeschel Verlag, Stuttgart (1996)

    Google Scholar 

  28. Syczewska, E.M.: Przyczynowość w sensie Grangera - wybrane metody. Metody Ilościowe w Badaniach Ekonomicznych/Quant. Methods Econ. XV 4, 169–180 (2014)

    Google Scholar 

  29. Tully, E., Lucey, B.M.: A power GARCH examination of the gold market. Res. Int. Bus. Financ 21(2), 316–325 (2007). https://doi.org/10.1016/j.ribaf.2006.07.001

    Article  Google Scholar 

  30. Van Hoang, T.H., Lean, H.H., Wong, W.K.: Is gold good for portfolio diversification? A stochastic dominance analysis of the Paris stock exchange. Int. Rev. Financ. Anal. 42, 98–108 (2015). https://doi.org/10.1016/j.irfa.2014.11.020

    Article  Google Scholar 

  31. Wang, Y.S., Chueh, Y.L.: Dynamic transmission effects between the interest rate, the US dollar, and gold and crude oil prices. Econ. Model. 30, 792–798 (2013). https://doi.org/10.1016/j.econmod.2012.09.052

    Article  Google Scholar 

  32. Widz, E.: Stopy zwrotu indeksów giełdowych na Giełdzie Papierów wartościowych w Warszawie i ich zmienność a wolumen obrotu akcjami – analiza zależności. Finanse, Rynki finansowe, Ubezpieczenia 2/2017 (86), 401–412 (2017)

    Google Scholar 

  33. World Gold Council (WGC). https://www.gold.org/

  34. Yahoo Finance. https://finance.yahoo.com/

  35. Zhou, Y, Zhang, K.: Warning signals of stock market crash during financial crisis: using Hong Kong as an empirical study. Int. J. Bus. Soc. Sci. 5(9), 134–149 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katarzyna Mamcarz .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mamcarz, K. (2019). Gold Market and Selected Stock MarketsGranger Causality Analysis. In: Tarczyński, W., Nermend, K. (eds) Effective Investments on Capital Markets. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-21274-2_28

Download citation

Publish with us

Policies and ethics