Mối quan hệ động giữa giá vàng, chỉ số thị trường chứng khoán và tỷ giá ở Việt Nam: Tiếp cận bằng phương pháp Canonical - Vine Copula

Authors

  • Tuấn Trần Ngọc Trường Đại học Kinh tế TP. Hồ Chí Minh Author
  • Quảng Vũ Việt Trường Đại học Kinh tế TP. Hồ Chí Minh Author

DOI:

https://doi.org/10.24311/jabes/2019.30.3.4

Keywords:

Dynamic relationship, Gold price, VN-Index, VND/USD Exchange rate, Vine Copula, Cvine Copula, Vietnam

Abstract

In this paper, the authors aim to investigate the dynamic relationship among the gold price, VN-Index and VND/USD exchange rate in Vietnam. To investigate this relationship, the dependence modeling using Vine Copula (specifically Canonical - Vine Copula, or Cvine Copula) has been utilized, which is supposed to provide better flexibility, allowed the modeling of complex dependency patterns for high-dimensional distributions, compared to traditional approaches. Using the sample of weekly rate of return on gold price, VN-Index, and USD/VND exchange rate in Vietnam, over 10 years from January 8, 2007 to March 19, 2018, this study has documented that VND/USD exchange rate is strongly related to domestic gold price and VN-Index. Empirical evidence also shows that when the market is operating normally or stably, the relationship between exchange rate and gold price, as well as VN-Index and gold price, with and without VND/USD exchange rate condition, are not significant. However, the relationship between exchange rate and VN-Index is strong, in which, an increase in VND/USD exchange rate (a depreciation in VND) leads to a drop in VN-Index. The empirical results of sub-periods show that the dependency structure and dependency level of the asset pairs change in most of the time periods considered.

References

Aggarwal, R. (1981). Exchange rates and stock prices: A study of the US capital markets under floating exchange rates. Akron Business Economic, 12, 7–12.

Ajayi, R. A., Friedman, J., & Mehdian, S. M. (1998). On the relationship between stock returns and exchange rates: Tests of Granger causality. Global Finance Journal, 9(2), 241–251.

Aloui, C. (2007). Price and volatility spillovers between exchange rates and stock indexes for the pre-and post-euro period. Quantitative Finance, 7(6), 669–685.

Aloui, R., & Aïssa, M. S. B. (2016). Relationship between oil, stock prices and exchange rates: A vine copula based GARCH method. The North American Journal of Economics and Finance, 37, 458–471.

Aloui, R., Aïssa, M. S. B., & Nguyen, D. K. (2011). Global financial crisis, extreme interdependences, and contagion effects: The role of economic structure?. Journal of Banking & Finance, 35(1), 130–141.

Bai, J., & Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics, 18(1), 1–22.

Bahmani-Oskooee, M., & Sohrabian, A. (1992). Stock prices and the effective exchange rate of the dollar. Applied Economics, 24(4), 459–464.

Baur, D. G., & Lucey, B. M. (2010). Is gold a hedge or a safe haven? An analysis of stocks, bonds and gold. Financial Review, 45(2), 217–229.

Baur, D. G., & McDermott, T. K. (2010). Is gold a safe haven? International evidence. Journal of Banking & Finance, 34(8), 1886–1898.

Beckers, S., & Soenen, L. (1984). Gold: More attractive to non‐US than to US investors?. Journal of Business Finance & Accounting, 11(1), 107–112.

Bedford, T., & Cooke, R. M. (2002). Vines--a new graphical model for dependent random variables. The Annals of Statistics, 30(4), 1031–1068.

Bedford, T., & Cooke, R. M. (2001). Probability density decomposition for conditionally dependent random variables modeled by vines. Annals of Mathematics and Artificial Intelligence, 32(1–4), 245–268.

BenSaïda, A. (2018). The contagion effect in European sovereign debt markets: A regime-switching vine copula approach. International Review of Financial Analysis, 58, 153–165.

Bhatti, M. I., & Nguyen, C. C. (2012). Diversification evidence from international equity markets using extreme values and stochastic Copulas. Journal of International Financial Markets, Institutions and Money, 22(3), 622–646.

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307–327.

Branson, W. H. (1983). Macroeconomic Determinants of Real Exchange Risk (NBER Working Paper 801). Retrieved from the National Bureau of Economic Research: https://www.nber.org/papers/w0801.

Brechmann, E. C., Czado, C., & Aas, K. (2012). Truncated regular vines in high dimensions with application to financial data. Canadian Journal of Statistics, 40(1), 68–85.

Brechmann, E., & Schepsmeier, U. (2013). CDVine: Modeling dependence with C-and D-Vine Copulas in R. Journal of Statistical Software, 52(3), 1–27.

Capie, F., Mills, T. C., & Wood, G. (2005). Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money, 15(4), 343–352.

Chang, K. L. (2012). The time-varying and asymmetric dependence between crude oil spot and futures markets: Evidence from the Mixture Copula-based ARJI–GARCH model. Economic Modelling, 29(6), 2298–2309.

Cherubini, U., Luciano, E., & Vecchiato, W. (2004). Copula Methods in Finance. Hoboken, NJ: John Wiley & Sons.

Chollete, L., De la Pena, V., & Lu, C. C. (2011). International diversification: A Copula approach. Journal of Banking & Finance, 35(2), 403–417.

Czado, C., Min, A., Baumann, T., & Dakovic, R. (2009). Pair-Copula constructions for modeling exchange rate dependence. Preprint.

Do, G. Q., & Sriboonchitta, S. (2010). Cointegration and causality among international gold and ASEAN emerging stock markets. Available at SSRN http://ssrn.com/abstract=1533919

Do, G. Q., Mcaleer, M., & Sriboonchitta, S. (2009). Effects of international gold market on stock exchange volatility: Evidence from ASEAN emerging stock markets. Economics Bulletin, 29(2), 599–610.

Donnelly, R., & Sheehy, E. (1996). The share price reaction of UK exporters to exchange rate movements: An empirical study. Journal of International Business Studies, 27(1), 157–165.

Dornbusch, R., & Fischer, S. (1980). Exchange rates and the current account. The American Economic Review, 70(5), 960–971.

Frankel, J. A. (1992). Monetary and portfolio-balance models of exchange rate determination. In International Economic Policies and Their Theoretical Foundations (pp.793–832). San Diego, Calif: Academic Press.

Garcia, R., & Tsafack, G. (2011). Dependence structure and extreme comovements in international equity and bond markets. Journal of Banking & Finance, 35(8), 1954–1970.

Ghorbel, A., & Trabelsi, A. (2014). Energy portfolio risk management using time-varying extreme value Copula methods. Economic Modelling, 38, 470–485.

Gilmore, C. G., McManus, G. M., Sharma, R., & Tezel, A. (2009). The dynamics of gold prices, gold mining stock prices and stock market prices comovements. Research in Applied Economics, 1(1), 1–19.

Griffin, J. M., & Stulz, R. M. (2001). International competition and exchange rate shocks: A cross-country industry analysis of stock returns. The Review of Financial Studies, 14(1), 215–241.

Hu, L. (2006). Dependence patterns across financial markets: A mixed Copula approach. Applied Financial Economics, 16(10), 717–729.

Huỳnh Thị Thúy Vy. (2015). Vai trò của vàng đối với sự biến động của Việt Nam đồng: Tiếp cận theo hàm Copula. Tạp chí Công nghệ Ngân hàng, 114, 3–9.

Jain, A., & Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179–185.

Jain, A., & Ghosh, S. (2013). Dynamics of global oil prices, exchange rate and precious metal prices in India. Resources Policy, 38(1), 88–93.

Joe, H. (1996). Families of m-variate distributions with given margins and m(m-1)/2 bivariate dependence parameters. Lecture Notes-Monograph Series, 120–141.

Jorion, P. (1990). The Exchange-Rate Exposure of U.S. Multinationals. The Journal of Business, 63(3), 331–345.

Joy, M. (2011). Gold and the US dollar: Hedge or haven?. Finance Research Letters, 8(3), 120–131.

Kurowicka, D., & Cooke, R.M. (2005). Distribution-free continuous bayesian belief nets. In A. Wilson, N. Limnios, S. Keller-McNulty, & Y. Armijo (Eds.), Modern Statistical and Mathematical Methods in Reliability (pp. 309–323). Singapore: World Scientific.

Lee, C. C., Chang, C. H., & Chen, M. P. (2015). Industry co-movements of American depository receipts: Evidences from the Copula approaches. Economic Modelling, 46, 301–314.

Lee, W. C., & Lin, H. N. (2012). Threshold effects in the relationships between USD and gold futures by panel smooth transition approach. Applied Economics Letters, 19(11), 1065–1070.

Li, M., & Yang, L. (2013). Modeling the volatility of futures return in rubber and oil—a Copula-based GARCH model approach. Economic Modelling, 35, 576–581.

Mensi, W., Hammoudeh, S., Reboredo, J. C., & Nguyen, D. K. (2015). Are Sharia stocks, Gold and US Treasury hedges and/or safe havens for the oil-based GCC markets?. Emerging Markets Review, 24(C), 101–121.

Naifar, N. (2012). Modeling the dependence structure between default risk premium, equity return volatility and the jump risk: Evidence from a financial crisis. Economic Modelling, 29(2),

119–131.

Nguyen, C., Bhatti, M. I., & Hayat, A. (2014). Volatility linkages in the spot and futures market in Australia: A Copula approach. Quality & Quantity, 48(5), 2589–2603.

Nguyen, C., Bhatti, M. I., Komorníková, M., & Komorník, J. (2016). Gold price and stock markets nexus under mixed-Copulas. Economic Modelling, 58, 283–292.

Ning, C. (2010). Dependence structure between the equity market and the foreign exchange market–a Copula approach. Journal of International Money and Finance, 29(5), 743–759.

Pan, M. S., Fok, R. C. W., & Liu, Y. A. (2007). Dynamic linkages between exchange rates and stock prices: Evidence from East Asian markets. International Review of Economics & Finance, 16(4), 503–520.

Patton, A. J. (2006). Modelling asymmetric exchange rate dependence. International Economic Review, 47(2), 527–556.

Phylaktis, K., & Ravazzolo, F. (2005). Stock prices and exchange rate dynamics. Journal of International Money and Finance, 24(7), 1031–1053.

Pukthuanthong, K., & Roll, R. (2011). Gold and the Dollar (and the Euro, Pound, and Yen). Journal of Banking & Finance, 35(8), 2070–2083.

Reboredo, J. C. (2013). Is gold a safe haven or a hedge for the US dollar? Implications for risk management. Journal of Banking & Finance, 37(8), 2665–2676.

Reboredo, J. C., & Rivera-Castro, M. A. (2014). Can gold hedge and preserve value when the US dollar depreciates?. Economic Modelling, 39, 168–173.

Righi, M. B., & Ceretta, P. S. (2013). Analyzing the dependence structure of various sectors in the Brazilian market: A pair Copula construction approach. Economic Modelling, 35, 199–206.

Rodriguez, J. C. (2007). Measuring financial contagion: A Copula approach. Journal of Empirical Finance, 14(3), 401–423.

Sari, R., Hammoudeh, S., & Soytas, U. (2010). Dynamics of oil price, precious metal prices, and exchange rate. Energy Economics, 32(2), 351–362.

Schepsmeier, U., Stoeber, J., Brechmann, E., Graeler, B., Nagler, T., & Erhardt, T. (2015). VineCopula: Statistical Inference of Vine Copulas. R package. Retrieved from: http://cran.r-project.org/package=VineCopula

Sjaastad, L. A. (2008). The price of gold and the exchange rates: Once again. Resources Policy, 33(2), 118–124.

Sjaastad, L. A., & Scacciavillani, F. (1996). The price of gold and the exchange rate. Journal of International Money and Finance, 15(6), 879–897.

Sklar, M. (1959). Fonctions de repartition an dimensions et leurs marges. Publ. Inst. Statist. Univ. Paris, 8, 229–231.

Soenen, L. A., & Hennigar, E. S. (1988). An analysis of exchange-rates and stock-prices-the united-states experience between 1980 and 1986. Akron Business and Economic Review, 19(4), 7–16.

Sukcharoen, K., & Leatham, D. J. (2017). Hedging downside risk of oil refineries: A vine Copula approach. Energy Economics, 66, 493–507.

Tachibana, M. (2018). Relationship between stock and currency markets conditional on the US stock returns: A vine copula approach. Journal of Multinational Financial Management, 46, 75–106.

Tsay, R. S. (2010). Analysis of Financial Time Series (3rd ed.). New York: John Wiley & Sons, Inc.

Tully, E., & Lucey, B. M. (2007). A power GARCH examination of the gold market. Research in International Business and Finance, 21(2), 316–325.

Turgutlu, E., & Ucer, B. (2010). Is global diversification rational? Evidence from emerging equity markets through mixed Copula approach. Applied Economics, 42(5), 647–658.

von Furstenberg, G. M., Jeon, B. N., Mankiw, N. G., & Shiller, R. J. (1989). International stock price movements: links and messages. Brookings Papers on Economic Activity, 1989(1), 125–179.

Wang, K. M., & Lee, Y. M. (2011). The yen for gold. Resources Policy, 36(1), 39–48.

Yang, L., Cai, X. J., Li, M., & Hamori, S. (2015). Modeling dependence structures among international stock markets: Evidence from hierarchical Archimedean Copulas. Economic Modelling, 51, 308–314.

Yang, S. Y., & Doong, S. C. (2004). Price and volatility spillovers between stock prices and exchange rates: Empirical evidence from the G-7 countries. International Journal of Business and Economics, 3(2), 139–153.

Zhao, H. (2010). Dynamic relationship between exchange rate and stock price: Evidence from China. Research in International Business and Finance, 24(2), 103–112.

Published

2019-04-22

Issue

Section

Articles

How to Cite

Trần Ngọc, T., & Vũ Việt, Q. (2019). Mối quan hệ động giữa giá vàng, chỉ số thị trường chứng khoán và tỷ giá ở Việt Nam: Tiếp cận bằng phương pháp Canonical - Vine Copula. JOURNAL OF ASIAN BUSINESS AND ECONOMIC STUDIES, 30(3), 05-34. https://doi.org/10.24311/jabes/2019.30.3.4

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