Financial market interdependencies: a quantile regression analysis of volatility spillover

Ben Rejeb, Aymen and Arfaoui, Mongi (2014): Financial market interdependencies: a quantile regression analysis of volatility spillover.

Abstract

This paper investigates the degree and structure of interdependence between emerging (Asian and Latin American) and developed (USA and Japan) stock markets through the study of volatility spillovers for the period spanning from January 1, 1993 to October 13, 2010. Using both standard GARCH model and quantile regression approach, we find the evidence of significant interdependence between financial markets which may give evidence of volatility transmission existence. The volatility transmission is closely associated with geographical proximity as well as with crisis periods which confirm the presence of contagion. The analysis of upper and lower quantiles allows observing that the interdependence increases during bullish markets while decreases during bearish markets. Accordingly, the structure of interdependence is asymmetric for both Asian and Latin American emerging markets. These findings open up new insights for government policy makers and for managerial purposes.

• Item Type: MPRA Paper
• Language: English
• Keywords: Market interdependence, volatility spillovers, asymmetric interdependence, contagion, quantile regression
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; G - Financial Economics > G1 - General Financial Markets

References

Adrian, T. and M. K. Brunnermeier (2011), ‘COVAR’, Working Paper, NBER, Cambridge.

Aggarwal, R., C. Inclan and R. Leal (1999), ‘Volatility in emerging stock markets’, Journal of Financial and Quantitative Analysis, 34(1): 33-55.

Arouri, M. H., J. Jouini and D. K. Nguyen (2011), ‘Volatility spillovers between oil prices and stock sector returns: implications for portfolio management’, Journal of International Money and Finance, 30(7): 1387-1405.

Bassett, G. and H-L. Chen (2001), ‘Quantile style: return-based attribution using regression quantiles’, Empirical Economics, 26(1): 293-305.

Baur, D. G. (2013), ‘The structure and degree of dependence: A quantile regression approach’ Journal of Banking and Finance, 37(3): 786-798.

Baur, D. G., T. Dimpfl and R. C. Jung (2012), ‘Stock return autocorrelations revisited: a quantile regression approach’, Journal of Empirical Finance, 19(2): 254-265.

Bekiros, S. D. (2013), ‘Contagion, decoupling and the spillover effects of the US financial crisis: evidence from the BRIC markets’, International Review of Financial Analysis, 33: 58-69.

Ben Rejeb, A. (2013), ‘Volatility spillovers and contagion: an empirical analysis of structural changes in emerging market volatility’, Economics Bulletin, 33(1): 56-71.

Bensafta, K. M. and G. Semedo (2011), ‘Chocs, chocs de volatilité et contagion entre les marchés boursiers: Application d'un modèle ICSS-MGARCH’, Revue économique, 62(2): 277-311.

Bollerslev, T., R. F. Engle and D. B. Nelson (1994), ‘Arch models’, in: R. F. Engle and D. McFadden (eds), Handbook of Econometrics, pp. 2959-3038. Amsterdam: North-Holland.

Buchinsky, M. (1995), ‘Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study’, Journal of Econometrics, 68(2): 303-338.

Buchinsky, M. and J. Hunt (1999), ‘Wage mobility in the United States’, The Review of Economics and Statistics, 81(3): 351-368.

Buchinsky, M. and P. Leslie (2010), ‘Educational attainment and the changing U.S. wage structure: dynamic implications on young individuals' choices’, Journal of Labor Economics, 28(3): 541-594.

Calvo, G. A., L. Leonardo and C. Reinhart (1996), ‘Inflows of capital to developing countries in 1990s: causes and effects’, Journal of Economic Perspectives, 10(2): 123-129.

Calvo, S. and C. Reinhart (1996), ‘Capital flows to Latin America: Is there evidence of contagion effects?’, Working Paper, The World Bank, Policy Research.

Caporale, G., N. Pittis and N. Spagnolo (2002), ‘Testing for causality in variance: an application to the East Asian markets’, International Journal of Finance and Economics, 7(3): 235-245.

Carrieri, F., V. Errunza and K. Hogan (2007), ‘Characterizing world market integration through time’, Journal of Financial and Quantitative Analysis, 42(4): 915-940.

Charles, A. and O. Darne (2006), ‘Large shocks and the september 11th terrorist attacks on international stock markets’, Economic Modelling, 23(4): 683-698. Choudhry, T. (2004), ‘International transmission of stock returns and volatility’, Emerging Markets Finance and Trade, 40(4): 33-52.

Chuang, C. C., C. M. Kuan and H. Y. Lin (2009), ‘Causality in quantiles and dynamic stock return-volume relations’, Journal of Banking and Finance, 33: 1351-1360.

Ciner, C., C. Gurdgiev and B. Lucey (2013), ‘Hedges and safe havens: an examination of stocks, bonds, gold, oil and exchange rates’, International Review of Financial Analysis, 29(C): 202-211.

Darrat, A. and O. Benkato (2003), ‘Interdependence and volatility spillovers under market liberalization: the case of Istanbul stock exchange’, Journal of Business Finance and Accounting, 30(7): 1089-1114.

Edwards, S. and R. Susmel (2001), ‘Volatility dependence and contagion in emerging equity markets’, Journal of Development Economics, 66(2): 505-532.

Eide, E. R. and M. H. Showalter (1999), ‘Factors affecting the transmission of earnings across generations:a quantile regression approach’, Journal of Human Resources, 34(2): 253-267.

Eide, E. and M. H. Showalter (1998), ‘The effect of school quality on student performance: a quantile regression approach’, Economics Letters, 58(3): 345-350.

Engle, R. F. (1982), ‘Autoregressive conditional heteroscedasticity with estimates of the variance of UK inflation’, Econometrica, 50(4): 987-1007.

Engle, R. F. and K. Kroner (1995), ‘Multivariate simultaneous generalized ARCH’ Econometric theory, 11(1): 122-150.

Engle, R. F. and S. Manganelli (2004), ‘CAViaR: conditional autoregressive value at risk by regression quantiles’, Journal of Business and Economic Statistics, 22(4): 367-381.

Forbes, K. J. and R. Rigobon (2001), ‘Contagion in Latin America: definitions, measurement, and policy implications’, Journal of LACEA Economia, 1(2): 1-46.

Forbes, K. J. and R. Rigobon (2002), ‘No contagion, only interdependence: measuring stock market comovements’, Journal of Finance, 57(5): 2223-2261.

Gebka, B. and M. E. Wohar (2013), ‘Causality between trading volume and returns: evidence from quantile regressions’, International Review of Economics and Finance, 27: 144-159.

Gilenko, E. and E. Fedorova (2014), ‘Internal and external spillover effects for the BRIC countries: multivariate GARCH-in-mean approach’, Research in International Business and Finance, 31: 32-45.

Hamao, Y., R. W. Masulis and V. Ng (1990), ‘Correlations in price changes and volatility across international stock markets’, Review of Financial Studies, 3(2): 281-307.

Inclan, C. and G. C. Tiao (1994), ‘Use of cumulative sums of squares for retrospective detection of changes of variances’, Journal of the American Statistical Association, 89: 913-923.

Karolyi, G. A. (1995), ‘A Multivariate GARCH model of international transmission of stock returns and volatility: the case of the United States and Canada’, Journal of Business and Economic Statistics, 13(1): 11-25.

Kasch-Haroutounian, M. and S. Price (2001), ‘Volatility in the transition markets of Central Europe’, Applied Financial Economics, 11(1): 93-105.

Kearney, C. (2000), ‘The determination and international transmission of stock market volatility’, Global Finance Journal, 11(1): 31-52.

Kibritçioglu, A. (2003), ‘Monitoring banking sector fragility’, Arab Bank Review, 5(2): 51-66. Koenker, R. (2005), ‘Quantile Regression’, Econometric Society Monograph Series, new York: Cambridge University Press.

Koenker, R. and G. Bassett (1978), ‘Regression quantiles’, Econometrica, 46: 33-50.

Koenker, R. and V. D’Orey (1987), ‘Algorithm AS 229: computing regression quantiles’ Journal of the Royal Statistical Society, 36(3): 383-393.

Leachman, L. and B. Francis (1996), ‘Equity market return volatility: dynamics and transmission among the G-7 countries’, Global Finance Journal, 7(1): 27-52.

Lee, B. S. and M. Y. L. Li (2012), ‘Diversification and risk-adjusted performance: a quantile regression approach’, Journal of Banking and Finance, 36(7): 2157-2173.

Li, H. (2007), ‘International linkages of the Chinese stock exchanges: a multivariate GARCH analysis’, Applied Financial Economics, 17(4): 285-297.

Li, M. Y. L. and P. Miu (2010), ‘A hybrid bankruptcy prediction model with dynamic loadings on accounting-ratio-based and market-based information: a binary quantile regression approach’, Journal of Empirical Finance, 17(4): 818-833.

Ling, S. and M. McAleer (2003), ‘Asymptotic theory for a vector ARMA-GARCH model’ Economic Theory, 19(2): 280-310.

Lopes, H. F. and H. S. Migon (2002), ‘Comovements and contagion in emergent markets: Stock indexes volatilities’, Case Studies in Bayesian Statistics, 6(): 285-300.

Masson, P. (1999), ‘Contagion: Macroeconomic models with multiple equilibria’, Journal of International Money and Finance, 18(4): 587-602.

Morillo, D. (2000), Income mobility with nonparametric quantiles: a comparison of the U.S. and Germany, Preprint.

Nguyen, D. K. (2005), ‘Market Deregulations, volatility and spillover effects: Experiences from emerging stock markets’, in Governance and Risk in Emerging and Global Markets, (eds), S. Motamen-Samadian, pp. 89-120. Palgrave Macmillan: United Kingdom.

Nikkinen, J., M. M. Omran, P. Sahlstrom and J. Aijo (2008), ‘Stock returns and volatility following the september 11 attacks: evidence from 53 equity markets’, International Review of Financial Analysis, 17(1): 27-46.

Phylaktis, K. (1999), ‘Capital market integration in the Pacific Basin region: an impulse response analysis’, Journal of International Money and Finance, 18(2): 267-287.

Phylaktis, K. and F. Ravazzolo (2002), ‘Measuring financial and economic integration with equity prices in emerging markets’, Journal of International Money and Finance, 21(6): 879-903.

Ramlall, I. (2010), ‘Has the US Subprime crisis accentuated volatility clustering and leverage effects in major international stock markets?’ International Research Journal of Finance and Economics, 39: 157-185.

Rubia, A. and L. Sanchis-Marco (2013), ‘On downside risk predictability through liquidity and trading activity: A dynamic quantile approach’, International Journal of Forecasting, 29(1): 202-219.

So, M. K. P., W. K. Li, and K. Lam (1997), ‘Multivariate modelling of the autoregressive random variance process’, Journal of Time Series Analysis, 18(4): 429-446.

Tsai, I-C. (2012), ‘The relationship between stock price index and exchange rate in Asian markets: a quantile regression approach’, Journal of International Financial Markets, Institutions & Money, 22(3): 609-621.

Wongswan, J. (2006), ‘Transmission of information across international equity markets’, Review of Financial Studies, 19(4): 1157-1189.

Xu, X. and H. Fung (2002), ‘Information flows across markets: Evidence from China-backed stocks dual-listed in Hong Kong and New York’, Financial Review, 37: 563-588.