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Pricing options by simulation using realized volatility

Allen, David E.; McAleer, Michael; Scharth, Marcel - 2009

Persistent link: https://www.econbiz.de/10003869596

Cointegrated dynamics for a generalized long memory process : application to interest rates

Asai, Manabu; Peiris, Shelton; McAleer, Michael; Allen, … - In: Journal of time series econometrics 12 (2020) 1, pp. 1-18

Persistent link: https://www.econbiz.de/10012258310

Do we need stochastic volatility and generalised autoregressive conditional heteroscedasticity? : Comparing squared end-of-day returns on ftse

Allen, David E.; McAleer, Michael - In: Risks : open access journal 8 (2020) 1/12, pp. 1-20

The paper examines the relative performance of Stochastic Volatility (SV) and Generalised Autoregressive Conditional Heteroscedasticity (GARCH) (1,1) models fitted to ten years of daily data for FTSE. As a benchmark, we used the realized volatility (RV) of FTSE sampled at 5 min intervals taken...

Persistent link: https://www.econbiz.de/10012203997

Asymmetry and leverage in conditional volatility models

McAleer, Michael - 2014

The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or...

Persistent link: https://www.econbiz.de/10010405194