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High frequency vs. daily resolution : the economic value of forecasting volatility models 2nd ed
Lilla, Francesca - 2017
Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011674479
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High frequency vs. daily resolution : the economic value of forecasting volatility models
Lilla, Francesca - 2016
Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many limitations. HF data feature microstructure problem,...
Persistent link: https://www.econbiz.de/10011730304
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Stock index volatility forecasting with high frequency data
Hol Uspensky, Eugenie; Koopman, Siem Jan - 2002
Volatility (SV) and Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models which are both extended to include … outperforms the GARCH model. …
Persistent link: https://www.econbiz.de/10011326944
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Comparing and evaluating Bayesian predictive distributions of assets returns
Geweke, John; Amisano, Gianni - 2008
Bayesian inference in a time series model provides exact, out-of-sample predictive distributions that fully and coherently incorporate parameter uncertainty. This study compares and evaluates Bayesian predictive distributions from alternative models, using as an illustration five alternative...
Persistent link: https://www.econbiz.de/10011605015
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Back to the future betas : empirical asset pricing of US and Southeast Asian markets
French, Jordan - In: International Journal of Financial Studies : open … 4 (2016) 3, pp. 1-13
(GARCH) models, of differing lag and parameter terms, to forecast the variance of the market used in the denominator of the … squared forecast error (MSE) were used to compare the forecasting ability of the ex-ante GARCH models, Artificial Neural …
Persistent link: https://www.econbiz.de/10011526799
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Testing volatility in Nigeria stock market using GARCH models
Atoi, Ngozi V. - In: CBN journal of applied statistics 5 (2014) 2, pp. 65-93
validate this result. The last twenty eight days out-of-sample forecast adjudged Power-GARCH (1, 1, 1) in student's t error …
Persistent link: https://www.econbiz.de/10011489480
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Asymmetric volatility effects in risk management: an empirical analysis using a stock index futures
Benavides, Guillermo - 2020
In this research paper ARCH-type models and option implied volatilities (IV) are applied in order to estimate the Value-at-Risk (VaR) of a stock index futures portfolio for several time horizons. The relevance of the asymmetries in the estimated volatility estimation is considered. The empirical...
Persistent link: https://www.econbiz.de/10012292347
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Regular variation of popular GARCH processes allowing for distributional asymmetry
Prono, Todd - 2017 - First version: August 2017
Linear GARCH(1,1) and threshold GARCH(1,1) processes are established as regularly varying, meaning their heavy tails … considered a stylized fact for many financial returns assumed to follow GARCH-type processes. The result in this note aids in … establishing the asymptotic properties of certain GARCH estimators proposed in the literature …
Persistent link: https://www.econbiz.de/10011803123
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Volatility forecasting : downside risk, jumps and leverage effect
Audrino, Francesco; Hu, Yujia - In: Econometrics : open access journal 4 (2016) 1, pp. 1-24
We provide empirical evidence of volatility forecasting in relation to asymmetries present in the dynamics of both return and volatility processes. Using recently-developed methodologies to detect jumps from high frequency price data, we estimate the size of positive and negative jumps and...
Persistent link: https://www.econbiz.de/10011504739
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The Information Content of High-Frequency Data for Estimating Equity Return Models and Forecasting Risk
Dobrev, Dobrislav - 2011
We demonstrate that the parameters controlling skewness and kurtosis in popular equity return models estimated at daily frequency can be obtained almost as precisely as if volatility is observable by simply incorporating the strong information content of realized volatility measures extracted...
Persistent link: https://www.econbiz.de/10013128339