Degiannakis, Stavros (2004): Forecasting Realized Intra-day Volatility and Value at Risk: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model. Published in: Applied Financial Economics No. 14 (2004): pp. 1333-1342.
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Abstract
Predicting the one-step-ahead volatility is of great importance in measuring and managing investment risk more accurately. Taking into consideration the main characteristics of the conditional volatility of asset returns, I estimate an asymmetric Autoregressive Conditional Heteroscedasticity (ARCH) model. The model is extended to also capture i) the skewness and excess kurtosis that the asset returns exhibit and ii) the fractional integration of the conditional variance. The model, which takes into consideration both the fractional integration of the conditional variance as well as the skewed and leptokurtic conditional distribution of innovations, produces the most accurate one-day-ahead volatility forecasts. The study recommends to portfolio managers and traders that extended ARCH models generate more accurate volatility forecasts of stock returns.
Item Type: | MPRA Paper |
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Original Title: | Forecasting Realized Intra-day Volatility and Value at Risk: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model |
Language: | English |
Keywords: | ARCH models, Fractional Integration, Intra-Day Volatility, Long Memory, Skewed-t Distribution, Value-at-Risk, Volatility Forecasting. |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C52 - Model Evaluation, Validation, and Selection C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods G - Financial Economics > G1 - General Financial Markets > G15 - International Financial Markets |
Item ID: | 80488 |
Depositing User: | Dr. Stavros Degiannakis |
Date Deposited: | 30 Jul 2017 12:28 |
Last Modified: | 28 Sep 2019 21:22 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/80488 |