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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Aas, K., Czado, C., Frigessi, A., Bakken, H.: Pair-copula constructions of multiple dependence. Insurance: Mathematics and Economics 44(2), 182–198 (2009)
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)
Bedford, T., Cooke, R.M.: Vines: A new graphical model for dependent random variables. Annals of Statistics, 1031–1068 (2002)
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)
Joe, H., Hu, T.: Multivariate distributions from mixtures of max-infinitely divisible distribtions. Journal of Multivariate Analysis 57(2), 240–265 (1996)
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)
Miller, J.I., Ratti, R.A.: Crude oil and stock markets: Stability, instability, and bubbles. Energy Economics 31(4), 559–568 (2009)
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)
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)
Samanta, S.K., Zadeh, A.H.: Co-Movements of Oil, Gold, the US Dollar, and Stocks. Modern Economy 3, 111 (2012)
Sklar, M.: Fonctions de repartition ‘an dimensions et leursmarges. Publ. Inst. Statist. Univ. Paris 8, 229–231 (1959)
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)
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)
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)
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)
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)