Skip to main content

Co-Movement and Dependency Between New York Stock Exchange, London Stock Exchange, Tokyo Stock Exchange, Oil Price, and Gold Price

  • Conference paper
  • First Online:
Book cover Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM 2015)

Abstract

This paper aims to analyze the co-movement and dependence of three stock markets, oil market, and gold market. These are gold prices as measured by gold future, crude oil prices as measured by Brent, and stock prices as measured by three developed stock markets comprising the U.S. Dow Jones Industrial Average, the London Stock Exchange, and the Japanese Nikkei 225 index. To capture the correlation and dependence, we employed the application of C-vine copula and D-vine copula. The results demonstrate that the C-vine copula is a structure more appropriate than the D-vine copula. In addition, we found positive dependency between the London Stock Exchange and the other markets; however, we also obtained complicated results when the London Stock Exchange, the Dow Jones Industrial Average, and Brent were given as the conditions. Finally, we found that gold might be a safe haven in this portfolios.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aas, K., Czado, C., Frigessi, A., Bakken, H.: Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics 44(2), 182–198 (2009)

    MathSciNet  MATH  Google Scholar 

  2. Ayusuk, A., Sriboonchitta, S.: Risk Analysis in Asian Emerging Markets using Canonical Vine Copula and Extreme Value Theory. Thai Journal of Mathematics, 59–72 (2014)

    Google Scholar 

  3. Bedford, T., Cooke, R.M.: Vines: A new graphical model for dependent random variables. Annals of Statistics, 1031–1068 (2002)

    Google Scholar 

  4. Czado, C., Schepsmeier, U., Min, A.: Maximum likelihood estimation of mixed C-vines with application to exchange rates. Statistical Modelling 12(3), 229–255 (2012)

    Article  MathSciNet  Google Scholar 

  5. Joe, H., Hu, T.: Multivariate distributions from mixtures of max-infinitely divisible distribtions. Journal of Multivariate Analysis 57(2), 240–265 (1996)

    Article  MathSciNet  MATH  Google Scholar 

  6. Liu, J., Sriboonchitta, S., Nguyen, H.T., Kreinovich, V.: Studying volatility and dependency of chinese outbound tourism demand in Singapore, Malaysia, and Thailand: a vine copula approach. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Modeling Dependence in Econometrics. AISC, vol. 251, pp. 295–311. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  7. Miller, J.I., Ratti, R.A.: Crude oil and stock markets: Stability, instability, and bubbles. Energy Economics 31(4), 559–568 (2009)

    Article  Google Scholar 

  8. Najafabadi, A.T.P., Qazvini, M., Ofoghi, R.: The Impact of Oil and Gold Prices’ Shock on Tehran Stock Exchange: A Copula Approach. Iranian Journal of Economic Studies 1(2), 23–47 (2012)

    Google Scholar 

  9. Puarattanaarunkorn, O., Sriboonchitta, S.: Modeling dependency in tourist arrivals to Thailand from China, Korea, and Japan using vine copulas. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Modeling Dependence in Econometrics. AISC, vol. 251, pp. 433–448. Springer, Heidelberg (2014)

    Google Scholar 

  10. Samanta, S.K., Zadeh, A.H.: Co-Movements of Oil, Gold, the US Dollar, and Stocks. Modern Economy 3, 111 (2012)

    Article  Google Scholar 

  11. Sklar, M.: Fonctions de repartition ‘an dimensions et leursmarges. Publ. Inst. Statist. Univ. Paris 8, 229–231 (1959)

    MathSciNet  Google Scholar 

  12. Sriboonchitta, S., Liu, J., Kreinovich, V., Nguyen, H.T.: Vine copulas as a way to describe and analyze multi-variate dependence in econometrics: computational motivation and comparison with bayesian networks and fuzzy approaches. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Modeling Dependence in Econometrics. AISC, vol. 251, pp. 205–219. Springer, Heidelberg (2014)

    Google Scholar 

  13. Sriboonchitta, S., Liu, J., Kreinovich, V., Nguyen, H.T.: A vine copula approach for analyzing financial risk and co-movement of the indonesian, Philippine and Thailand stock markets. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Modeling Dependence in Econometrics. AISC, vol. 251, pp. 281–294. Springer, Heidelberg (2014)

    Google Scholar 

  14. Sriboonchitta, S., Liu, J., Wiboonpongse, A.: Vine copula-cross entropy evaluation of dependence structure and financial risk in agricultural commodity index returns. In: Huynh, V.-N., Kreinovich, V., Sriboonchitta, S. (eds.) Modeling Dependence in Econometrics. AISC, vol. 251, pp. 313–326. Springer, Heidelberg (2014)

    Google Scholar 

  15. Tang, J., Sriboonchitta, S., Yuan, X.: A Mixture of Canonical Vine Copula GARCH Approach for Modeling Dependence of European Electricity Markets. Thai Journal of Mathematics, 165–180 (2014)

    Google Scholar 

  16. Yuan, X., Sriboonchitta, S., Tang, J.: Analysis of International Trade, Exchange Rate and Crude Oil Price on Economic Development of Yunnan Province: A GARCH-Vine Copula Model Approach. Thai Journal of Mathematics, 145–163 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pathairat Pastpipatkul .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Pastpipatkul, P., Yamaka, W., Sriboonchitta, S. (2015). Co-Movement and Dependency Between New York Stock Exchange, London Stock Exchange, Tokyo Stock Exchange, Oil Price, and Gold Price. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-25135-6_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25134-9

  • Online ISBN: 978-3-319-25135-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics