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2021, vol. 68, br. 1, str. 35-52
Volatility spillover from the United States and Japanese stock markets to the Vietnamese stock market: A frequency domain approach
(naslov ne postoji na srpskom)
aSaigon University, Ho Chi Minh City, Vietnam + Ho Chi Minh City Open University, Vietnam
bHo Chi Minh City Open University, Vietnam

e-adresanghiledinh@sgu.edu.vn, kieu.nm@ou.edu.vn
Sažetak
(ne postoji na srpskom)
Using frequency domain analysis, this paper examines the volatility spillover from the United States and Japanese stock markets to the Vietnamese stock market. Daily data of S&P 500, Nikkei 225 and VN-Index from January 01, 2012 to May 31, 2016 is used. In terms of estimation, the GARCH model is used to estimate volatilities in these stock markets; the Granger Causality Test is used to examine volatility spillover; and the test for causality in the frequency domain by Jorg Breitung and Bertrand Candelon (2006) is used to examine the volatility spillover at different frequencies. The empirical results provide two main contributions: (i) there is a significant volatility spillover from the United States to the Vietnamese stock markets, but the evidence of volatility spillover from the Japanese to the Vietnamese stock market is not found; and (ii) the volatility spillover may vary across frequency spectrum bands. To our best understanding, volatility spillover analysis using frequency domain approach was not previously reported in literature.
Reference
Abou-Zaid, A.S. (2011) Volatility Spillover Effects in Emerging MENA Stock Markets. Review of Applied Economics, 7(1-2): 107-127
Alexander, C. (2001) Market Models: A Guide to Financial Data Analysis. New Jersey: John Wiley & Sons
Bollerslev, T. (1986) Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3): 307-327
Bouoiyour, J., Selmi, R. (2016) How Differently Does Oil Price Influence BRICS Stock Markets?. Journal of Economic Integration, 31(3): 547-568
Bouri, E., Kachacha, I., Lien, D., Roubaud, D. (2017) Short-and LongRun Causality across the Implied Volatility of Crude Oil and Agricultural Commodities. Economics Bulletin, 37(2): 1077-1088
Breitung, J., Candelon, B. (2006) Testing for shortand long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2): 363-378
Chan, L., Lien, D., Weng, W. (2008) Financial interdependence between Hong Kong and the US: A band spectrum approach. International Review of Economics & Finance, 17(4): 507-516
Choo, W. (2011) Return and Volatility Spillover between Large and Small Stocks in Bursa Malaysia. International Journal of Business and Social Science, 2(2): 176-185
Ciner, C. (2011) Information transmission across currency futures markets: Evidence from frequency domain tests. International Review of Financial Analysis, 20(3): 134-139
Croux, C., Reusens, P. (2013) Do stock prices contain predictive power for the future economic activity? A Granger causality analysis in the frequency domain. Journal of Macroeconomics, 35(1): 93-103
Engle, R.F. (1982) Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50(4): 987-1008
Engle, R.F. (2001) GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics. Journal of Economic Perspectives, 15(4): 157-168
Geweke, J. (1982) Measurement of Linear Dependence and Feedback between Multiple Time Series. Journal of the American Statistical Association, 77(378): 304-313
Gomez-Gonzalez, J.E., Villamizar-Villegas, M.M., Zarate, H.M., Amador, J.S., Gaitan-Maldonado, C. (2015) Credit and business cycles: Causal effects in the frequency domain. Ensayos sobre Política Económica, 33(78): 176-189
Gradojević, N. (2012) Frequency domain analysis of foreign exchange order flows. Economics Letters, 115(1): 73-76
Gradojević, N., Dobardžić, E. (2013) Causality between regional stock markets: A frequency domain approach. Panoeconomicus, vol. 60, br. 5, str. 633-647
Granger, C.W.J. (1969) Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3): 424-438
Granger, C.W.J., Lin, J. (1995) Causality in the Long Run. Econometric Theory, 11(3): 530-536
Gujarati, D.N. (2004) Basic econometrics. New York: McGraw-Hill, 4th ed
Hosoya, Y. (1991) The decomposition and measurement of the interdependency between second-order stationary processes. Probability Theory and Related Fields, 88(4): 429-444
Kharchenko, I., Tzvetkov, P. (2013) Estimation of Volatilities and Spillover Effects between Developed and Emerging Market Economies. Lunds University, Master Thesis
Ko, K., Lee, S. (1991) A Comparative Analysis of the Daily Behavior of Stock Returns: Japan, the Us and the Asian NICS. Journal of Business Finance & Accounting, 18(2): 219-234
Miyakoshi, T. (2003) Spillovers of stock return volatility to Asian equity markets from Japan and the US. Journal of International Financial Markets, Institutions and Money, 13(4): 383-399
Mohammadi, H., Tan, Y. (2015) Return and Volatility Spillovers across Equity Markets in Mainland China, Hong Kong and the United States. Econometrics, 3(2): 215-232
Ng, A. (2000) Volatility Spillover Effects from Japan and the US to the Pacific-Basin. Journal of International Money and Finance, 19(2): 207-233
Nghi, L.D. (2012) Evaluating Impacts of Reduction in Fluctuation Limit on Stock Price Risks in Vietnam. Journal of Economic Development, 214: 116-128
Nishimura, Y., Tsutsui, Y., Hirayama, K. (2015) Intraday return and volatility spillover mechanism from Chinese to Japanese stock market. Journal of the Japanese and International Economies, 35: 23-42
Ozer, M., Kamisli, M. (2016) Frequency Domain Causality Analysis of Interactions between Financial Markets of Turkey. International Business Research, 9(1): 176-176
Salma, J. (2015) Shock, Return and Volatility Spillovers among the US, Japan and European Monetary Union Stock Markets. Global Journal of Business Research, 15(10): 20-27
Tsay, R.S. (2002) Analysis of Financial Time Series. New Jersey: John Wiley & Sons, Inc, 2nd ed
Tsutsui, Y., Hirayama, K. (2005) Estimation of the common and country-specific shock to stock prices. Journal of the Japanese and International Economies, 19(3): 322-337
Yamada, H., Yanfeng, W. (2014) Some Theoretical and Simulation Results on the Frequency Domain Causality Test. Econometric Reviews, 33(8): 936-947
Yanfeng, W. (2013) The Dynamic Relationships between Oil Prices and the Japanese Economy: A Frequency Domain Analysis. Review of Economics & Finance, 3: 57-67
Yarovaya, L., Brzeszczyński, J., Lau, C.K.M. (2016) Intra- and inter-regional return and volatility spillovers across emerging and developed markets: Evidence from stock indices and stock index futures. International Review of Financial Analysis, 43(C): 96-114
Zhou, P., Lu, F., Wang, S. (2014) Testing linear and nonlinear granger causality in CSI300 futures and spot markets based on new concepts of nonlinear positive/negative spillover. Journal of Systems Science and Complexity, 27(4): 729-742
 

O članku

jezik rada: engleski
vrsta rada: izvorni naučni članak
DOI: 10.2298/PAN170428003N
primljen: 28.04.2017.
prihvaćen: 26.01.2019.
objavljen u SCIndeksu: 04.03.2022.
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