Volatility transmission in global financial markets

Journal of Empirical Finance - Tập 32 - Trang 3-18 - 2015
Adam Clements1, Stan Hurn1, Vladimir Volkov1
1Queensland University of Technology, 2 George Street, Brisbane, 4001, Australia

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Andersen, 2003, Modeling and forecasting realized volatility, Econometrica, 71, 579, 10.1111/1468-0262.00418

Andersen, 2012, Jump-robust volatility estimation using nearest neighbor truncation, J. Econ., 169, 75, 10.1016/j.jeconom.2012.01.011

Barndorff-Nielsen, 2002, Econometric analysis of realized volatility and its use in estimating stochastic volatility models, J. R. Stat. Soc. Ser. B, 64, 253, 10.1111/1467-9868.00336

Barndorff-Nielsen, 2004, Power and bi-power variation with stochastic volatility and jumps, J. Financ. Econ., 2, 1

Barndorff-Nielsen, 2006, Econometrics of testing for jumps in financial economics using bipower variation, J. Financ. Econ., 4, 1

Barndorff-Nielsen, O.E., Kinnebrock, S., and Shephard, N. 2008. Measuring downside risk-realised semivariance. Unpublished Manuscript.

Bollerslev, 1986, Generalized autoregressive conditional heteroskedasticity, J. Econ., 31, 307, 10.1016/0304-4076(86)90063-1

Bubák, 2011, Volatility transmission in emerging European foreign exchange markets, J. Bank. Financ., 35, 2829, 10.1016/j.jbankfin.2011.03.012

Corsi, 2012, Discrete-time volatility forecasting with persistent leverage effect and the link with continuous-time volatility modelling, J. Bus. Econ. Stat., 30, 368, 10.1080/07350015.2012.663261

Dungey, 2009, After-hours trading in equity futures markets, J. Futur. Mark., 29, 114, 10.1002/fut.20354

Ehrmann, 2011, Stocks, bonds, money markets and exchange rates: measuring international financial transmission, J. Appl. Econ., 26, 948, 10.1002/jae.1173

Engle, 1982, Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773

Engle, 2006, A multiple indicators model for volatility using intra-daily data, J. Econ., 131, 3, 10.1016/j.jeconom.2005.01.018

Engle, 1990, Meteor showers or heat waves? Heteroskedastic intra-daily volatility in the foreign exchange market, Econometrica, 58, 525, 10.2307/2938189

Engle, 2012, Volatility spillovers in East Asian financial markets: a MEM-based approach, Rev. Econ. Stat., 94, 222, 10.1162/REST_a_00167

Evans, 2011, Intraday jumps and US macroeconomic news announcements, J. Bank. Financ., 35, 2511, 10.1016/j.jbankfin.2011.02.018

Fleming, 1999, Heat waves, meteor showers, and trading volume: an analysis of volatility spillovers in the U.S. Treasury market, 82

Hakim, 2010, Modelling the interactions across international stock, bond and foreign exchange markets, Appl. Econ., 42, 825, 10.1080/00036840701720994

Han, 2014, Asymptotic theory for the QMLE in GARCH-X models with stationary and non-stationary covariates, J. Bus. Econ. Stat., 32, 416, 10.1080/07350015.2014.897954

Hansen, 2012, Realized GARCH: a joint model for returns and realized measures of volatility, J. Appl. Econ., 27, 877, 10.1002/jae.1234

Huang, 2005, The relative contribution of jumps to total price variation, J. Financ. Econ., 3, 456

Ito, 1987, The intra-daily exchange rate dynamics and monetary policy after the G5 agreement, J. Jpn. Int. Econ., 1, 275, 10.1016/0889-1583(87)90012-8

Ito, 1987, News from the U.S. and Japan which moves the Yen/Dollar exchange rate?, J. Monet. Econ., 19, 255, 10.1016/0304-3932(87)90049-3

Kawakatsu, 2006, Matrix exponential GARCH, J. Econ., 134, 95, 10.1016/j.jeconom.2005.06.023

Kroner, 1998, Modeling asymmetric comovements of asset returns, Rev. Financ. Stud., 11, 817, 10.1093/rfs/11.4.817

Melvin, 2003, The global transmission of volatility in the foreign exchange market, Rev. Econ. Stat., 85, 670, 10.1162/003465303322369803

Patton, 2013, Does anything beat 5-minute RV? A comparison of realized measures across multiple asset classes

Savva, C., Osborn, D.R., and Gill, L. 2005. Volatility, spillover effects and correlations in US and major european markets. Unpublished Manuscript, University of Manchester.

Shephard, 2010, Realising the future: forecasting with high-frequency-based volatility (HEAVY) models, J. Appl. Econ., 25, 197, 10.1002/jae.1158