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Curto, J. D., Tomás, J. A. & Pinto, J. C. (2009). A new approach to bad news effects on volatility: the Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH). Portuguese Economic Journal. 8 (1), 23-36
J. J. Curto et al., "A new approach to bad news effects on volatility: the Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH)", in Portuguese Economic Journal, vol. 8, no. 1, pp. 23-36, 2009
@article{curto2009_1765601345914,
author = "Curto, J. D. and Tomás, J. A. and Pinto, J. C.",
title = "A new approach to bad news effects on volatility: the Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH)",
journal = "Portuguese Economic Journal",
year = "2009",
volume = "8",
number = "1",
doi = "10.1007/s10258-009-0037-9",
pages = "23-36",
url = "http://link.springer.com/article/10.1007%2Fs10258-009-0037-9"
}
TY - JOUR TI - A new approach to bad news effects on volatility: the Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH) T2 - Portuguese Economic Journal VL - 8 IS - 1 AU - Curto, J. D. AU - Tomás, J. A. AU - Pinto, J. C. PY - 2009 SP - 23-36 SN - 1617-982X DO - 10.1007/s10258-009-0037-9 UR - http://link.springer.com/article/10.1007%2Fs10258-009-0037-9 AB - In this paper, using daily data for six major international stock market indexes and a modified EGARCH specification, the links between stock market returns, volatility and trading volume are investigated in a new nonlinear conditional variance framework with multiple regimes and volume effects. Volatility forecast comparisons, using the Harvey-Newbold test for multiple forecasts encompassing, seem to demonstrate that the MSV-EGARCH complex threshold structure is able to correctly fit GARCH-type dynamics of the series under study and dominates competing standard asymmetric models in several of the considered stock indexes. ER -
Português