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Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence
Wang, Jiqian; Huang, Yisu; Ma, Feng; Chevallier, Julien - In: Energy economics 91 (2020), pp. 1-13
Persistent link: https://www.econbiz.de/10012518664
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A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market : evidence from over a century of data
Salisu, Afees A.; Gupta, Rangan; Ogbonna, Ahamuefula E. - In: International journal of finance & economics : IJFE 27 (2022) 1, pp. 384-400
Persistent link: https://www.econbiz.de/10012814585
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Trading and non-trading period realized market volatility : does it matter for forecasting the volatility of US stocks?
Lyócsa, Štefan; Todorova, Neda - In: International journal of forecasting 36 (2020) 2, pp. 628-645
Persistent link: https://www.econbiz.de/10012415313
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Effect of uncertainty on U.S. stock returns and volatility : evidence from over eighty years of high-frequency data
Gupta, Rangan; Marfatia, Hardik A.; Olson, Eric - In: Applied economics letters 27 (2020) 16, pp. 1305-1311
Persistent link: https://www.econbiz.de/10012267127
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Do oil-price shocks predict the realized variance of U.S. REITs?
Bonato, Matteo; Çepni, Oğuzhan; Gupta, Rangan; … - In: Energy economics 104 (2021), pp. 1-19
Persistent link: https://www.econbiz.de/10013364407
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Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? : a quantile machine-learning approach
Gupta, Rangan; Pierdzioch, Christian - In: Financial innovation : FIN 9 (2023), pp. 1-22
Persistent link: https://www.econbiz.de/10014288917
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Model uncertainty and forecast combination in high-dimensional multivariate volatility prediction
Amendola, Alessandra; Storti, Giuseppe - In: Journal of forecasting 34 (2015) 2, pp. 83-91
Persistent link: https://www.econbiz.de/10011305317
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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
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Conditional heteroskedasticity in the volatility of asset returns
Ding, Yashuang - 2021
Persistent link: https://www.econbiz.de/10013262866