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The Effects of COVID-19 on Chinese Stock Markets: An EGARCH Approach
SSRN Electronic Journal, 2020Coronavirus disease 2019 (COVID-19), the disease caused by the novel coronavirus SARS-CoV-2, has greatly affected financial markets, economies and societies worldwide.
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Estimating EGARCH-M models: Science or art?
The Quarterly Review of Economics and Finance, 1998Abstract This paper shows that the EGARCH-M model should be estimated with caution. Regardless of the assumption made regarding the conditional error distribution, the EGARCH-M model is sensitive to the choice of starting values and the degree of computer precision.
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The Comparison between IABC with EGARCH in Foreign Exchange Rate Forecasting
2014Foreign exchange rate forecasting catches many researchers interests in recent years. Problems of the foreign exchange rate forecasting model selection and the improvement on forecasting accuracy are not easy to be solved. In this paper, the forecasting results obtained by conventional time-series models and by the Inter-active Artificial Bee Colony ...
Jui-Fang Chang +3 more
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Option pricing using EGARCH models [PDF]
Various empirical studies have shown that the time-varying volatility of asset returns can be described by GARCH (generalised autoregressive conditional heteroskedasticity) models. The corresponding GARCH option pricing model of Duan (1995) is capable of depicting the smile-effect which often can be found in option prices.
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The effects of COVID-19 on Chinese stock markets: an EGARCH approach
Economic and Political Studies, 2021Kerry Liu
exaly
EGARCH Option Pricing with Assymetries in the Mean Equation [PDF]
Black's option pricing model systematically misprices actual option premiums. The biases of Black's model may result from assuming non-stochastic volatility and normality. A generalized autoregressive conditional heteracedastic(GARCH) option pricing model relaxes the assumptions of Black's model This paper uses an asymmetric ARCH-type models.
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Forecasting Volatilities and Correlations with EGARCH Models
The Journal of Derivatives, 1993Robert Cumby +2 more
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