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Time-varying NoVaS versus GARCH : point prediction, volatility estimation and prediction intervals

Chen, Jie; Politis, Dimitris N. - In: Journal of time series econometrics 12 (2020) 2, pp. 1-36

Persistent link: https://www.econbiz.de/10012300649

Range-based volatility estimation and forecasting

Benčík, Daniel - 2014

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

Conditional correlation models of autoregressive conditional heteroscedasticity with nonstationary GARCH equations

Amado, Cristina; Teräsvirta, Timo - In: Journal of business & economic statistics : JBES ; a … 32 (2014) 1, pp. 69-87

Persistent link: https://www.econbiz.de/10010380478

Revisiting the auto-regressive integrated moving average approach to modelling volatility using Bahrain all share index daily returns

Doblas, Mark P.; Natarajan, Vinodh Kesavaraj; Sankar, … - In: Middle East journal of management : MEJM 10 (2023) 6, pp. 619-636

Persistent link: https://www.econbiz.de/10014424552

Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models

Yildirim, Hakan; Bekun, Festus Victor - In: Future Business Journal 9 (2023), pp. 1-8

market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …

Persistent link: https://www.econbiz.de/10014382180

Modelling and forecasting unbiased extreme value volatility estimator : A study based on exchange rates with economic significance analysis

Kumar, Dilip - In: The journal of prediction markets 13 (2019) 1, pp. 3-28

Persistent link: https://www.econbiz.de/10012607570

Forecasting stock return volatility : realized volatility-type or duration-based estimators

Fei, Tianlun; Liu, Xiaoquan; Wen, Conghua - In: Journal of forecasting 42 (2023) 7, pp. 1594-1621

Persistent link: https://www.econbiz.de/10014432725

DCC- and DECO-HEAVY : multivariate GARCH models based on realized variances and correlations

Bauwens, Luc; Xu, Yongdeng - In: International journal of forecasting 39 (2023) 2, pp. 938-955

Persistent link: https://www.econbiz.de/10014465168

Determinism and non-linear behaviour of log-return and conditional volatility : empirical analysis for 26 stock markets

Dhifaoui, Zouhaier - In: South Asian journal of macroeconomics and public finance 11 (2022) 1, pp. 69-94

Persistent link: https://www.econbiz.de/10013256597

Capturing the stock market volatility : a study of sectoral indices in India using symmetric GARCH models

Khera, Aastha; Goyal, Anisha; Yadav, Miklesh Prasad - In: International journal of management practice : IJMP 15 (2022) 6, pp. 820-833

Persistent link: https://www.econbiz.de/10013415146

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