A Simple Long Memory Model of Realized Volatility
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Preprint
- 1 January 2004
- preprint
- Published by Elsevier in SSRN Electronic Journal
Abstract
In the present work we propose a new realized volatility model to directly model and forecast the time series behavior of volatility. The purpose is to obtain aKeywords
This publication has 28 references indexed in Scilit:
- Parametric and Nonparametric Volatility MeasurementPublished by National Bureau of Economic Research ,2002
- Consistent High‐precision Volatility from High‐frequency DataEconomic Notes, 2001
- The Distribution of Realized Exchange Rate VolatilityJournal of the American Statistical Association, 2001
- A STOCHASTIC CASCADE MODEL FOR FX DYNAMICSInternational Journal of Theoretical and Applied Finance, 2000
- Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate ForecastsInternational Economic Review, 1998
- ”Direct” causal cascade in the stock marketZeitschrift für Physik B Condensed Matter, 1998
- Heterogeneous Information Arrivals and Return Volatility Dynamics: Uncovering the Long‐Run in High Frequency ReturnsThe Journal of Finance, 1997
- Modelling Short-Term Volatility with GARCH and HARCH ModelsSSRN Electronic Journal, 1997
- Turbulent cascades in foreign exchange marketsNature, 1996
- A long memory property of stock market returns and a new modelJournal of Empirical Finance, 1993