Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/5540
Author(s): Curto, J. D.
Tomás, J. A.
Pinto, J. C.
Date: 2009
Title: A new approach to bad news effects on volatility: The Multiple-Sign-Volume sensitive regime EGARCH model (MSV-EGARCH)
Volume: 8
Number: 1
Pages: 23 - 36
Reference: 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. https://dx.doi.org/10.1007/s10258-009-0037-9
ISSN: 1617-982X
DOI (Digital Object Identifier): 10.1007/s10258-009-0037-9
Keywords: Conditional heteroskedasticity
Multiple regimes
Trading volume
Estimation
Técnicas de previsão -- Forecasting techniques
Abstract: 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.
Peerreviewed: yes
Access type: Open Access
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica

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