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A multivariate skew-garch model
2005Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad news.
DE LUCA, GIOVANNI +2 more
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GO‐GARCH: a multivariate generalized orthogonal GARCH model
Journal of Applied Econometrics, 2002AbstractMultivariate GARCH specifications are typically determined by means of practical considerations such as the ease of estimation, which often results in a serious loss of generality. A new type of multivariate GARCH model is proposed, in which potentially large covariance matrices can be parameterized with a fairly large degree of freedom while ...
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2003
When modeling multivariate economic and financial time series using vector autoregressive (VAR) models, squared residuals often exhibit significant serial correlation. For univariate time series, Chapter 7 indicates that the time series may be conditionally heteroskedastic, and GARCH models have been proved to be very successful at modeling the serial ...
Eric Zivot, Jiahui Wang
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When modeling multivariate economic and financial time series using vector autoregressive (VAR) models, squared residuals often exhibit significant serial correlation. For univariate time series, Chapter 7 indicates that the time series may be conditionally heteroskedastic, and GARCH models have been proved to be very successful at modeling the serial ...
Eric Zivot, Jiahui Wang
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EMPIRICAL LIKELIHOOD FOR GARCH MODELS
Econometric Theory, 2006Summary: This paper develops an empirical likelihood approach for regular generalized autoregressive conditional heteroskedasticity (GARCH) models and GARCH models with unit roots. For regular GARCH models, it is shown that the log empirical likelihood ratio statistic asymptotically follows a \(\chi^2\) distribution.
Chan, NH, Ling, SQ
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Dynamic Factor Multivariate GARCH Model
SSRN Electronic Journal, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Santos, André A. P. +1 more
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2003
Previous chapters have concentrated on modeling and predicting the conditional mean, or the first order moment, of a univariate time series, and are rarely concerned with the conditional variance, or the second order moment, of a time series. However, it is well known that in financial markets large changes tend to be followed by large changes, and ...
Eric Zivot, Jiahui Wang
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Previous chapters have concentrated on modeling and predicting the conditional mean, or the first order moment, of a univariate time series, and are rarely concerned with the conditional variance, or the second order moment, of a time series. However, it is well known that in financial markets large changes tend to be followed by large changes, and ...
Eric Zivot, Jiahui Wang
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2011
Time series data exhibits complex behavior including path-dependency and non-linearity. It is important to employ flexible methods, such as a mixture of GARCH models, to allow for possible changes in the nature of this complex behavior. This work proposes a novel flexible fuzzy GARCH model that attempts to capture complex data behavior.
Almeida, R.J. +3 more
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Time series data exhibits complex behavior including path-dependency and non-linearity. It is important to employ flexible methods, such as a mixture of GARCH models, to allow for possible changes in the nature of this complex behavior. This work proposes a novel flexible fuzzy GARCH model that attempts to capture complex data behavior.
Almeida, R.J. +3 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
2015
In this study, wavelet based GARCH-Extreme Value Theory (EVT) is proposed to model financial return series to forecast daily value-at-risk. Wavelets based GARCH-EVT is hybrid model combining the wavelet analysis and EVT. Proposed model contains three stages.
ALTUN, Emrah, TATLİDİL, Hüseyin
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In this study, wavelet based GARCH-Extreme Value Theory (EVT) is proposed to model financial return series to forecast daily value-at-risk. Wavelets based GARCH-EVT is hybrid model combining the wavelet analysis and EVT. Proposed model contains three stages.
ALTUN, Emrah, TATLİDİL, Hüseyin
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