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prices. We empirically assess efficiency gains in volatility estimation when using range-based estimators as opposed to … simple daily ranges and explore the use of these more efficient volatility measures as predictors of daily ranges. The array … forecasts are produced by a realized range based HAR model with a GARCH volatility-of-volatility component. …
Persistent link: https://www.econbiz.de/10010461231
volatility of the Standard and Poors 500 index among recent extensions of the heterogeneous autoregressive model. While we find …, improvements achieved by the inclusion of implied volatility turn out to be insignificant. …
Persistent link: https://www.econbiz.de/10011430242
The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
Persistent link: https://www.econbiz.de/10011303289
The sum of squared intraday returns provides an unbiased and almost error-free measure of ex-post volatility. In this … paper we develop a nonlinear Autoregressive Fractionally Integrated Moving Average (ARFIMA) model for realized volatility …, which accommodates level shifts, day-of-the-week effects, leverage effects and volatility level effects. Applying the model …
Persistent link: https://www.econbiz.de/10011335205
improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … conjunction with a variety of volatility models for returns on the Standard & Poor's 100 stock index. We consider two so …
Persistent link: https://www.econbiz.de/10011326944
Many recent modelling advances in finance topics ranging from the pricing of volatility-based derivative products to … number of recent papers have addressed volatility predictability, some from the perspective of the usefulness of jumps in … forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …
Persistent link: https://www.econbiz.de/10009771770
obtained from discrete time models by comparing them with high-frequency ex post estimates (e.g. realised volatility) based on … illustration provides an example of where an explanatory model outperforms realised volatility ex post. -- Financial variability … ; financial volatility ; forecasting ; explanatory modelling ; exchange rates …
Persistent link: https://www.econbiz.de/10003829997
A practice that has become widespread is that of comparing forecasts of financial return variability obtained from discrete time models against high frequency estimates based on continuous time theory. In explanatory financial return variability modelling this raises several methodological and...
Persistent link: https://www.econbiz.de/10013132293
The last decade has seen substantial advances in the measurement, modeling and forecasting of volatility which has … centered around the realized volatility literature. To date, most of the focus has been on the daily and monthly frequency …, with little attention on longer horizons such as the quarterly frequency. In finance applications, forecasts of volatility …
Persistent link: https://www.econbiz.de/10013132557
such as the realized volatility and squared overnight returns, are confronted with those from ARFIMA realized volatility …
Persistent link: https://www.econbiz.de/10013105936