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Harnessing the decomposed realized measures for volatility forecasting : evidence from the US stock market

Lu, Botao; Ma, Feng; Wang, Jiqian; Ding, Hui; Wahab, M. … - In: International review of economics & finance : IREF 72 (2021), pp. 672-689

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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

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High-frequency predictability of housing market movements of the United States : the role of economic sentiment

Balcilar, Mehmet; Bouri, Elie; Gupta, Rangan; Kyei, … - In: The journal of behavioral finance : a publication of … 22 (2021) 4, pp. 490-498

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Linking U.S. state-level housing market returns, and the consumption-(dis)aggregate wealth ratio

Balcilar, Mehmet; Gupta, Rangan; Sousa, Ricardo M.; … - In: International review of economics & finance : IREF 71 (2021), pp. 779-810

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Bitcoin prices and the realized volatility of US sectoral stock returns

Bouri, Elie; Salisu, Afees A.; Gupta, Rangan - 2022

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The role of oil futures intraday information on predicting US stock market volatility

Tang, Yusui; Xiao, Xiao; Wahab, M. I. M.; Ma, Feng - In: Journal of management science and engineering 6 (2021) 1, pp. 64-74

This study investigates the role of oil futures price information on forecasting the US stock market volatility using … futures realized volatility. In particular, the multivariate HAR model outperforms the univariate model. Accordingly …, considering the contemporaneous connection is useful to predict the US stock market volatility. Furthermore, these findings are …

Persistent link: https://www.econbiz.de/10013206077

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

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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

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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

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Jump tail risk premium and predicting US and Japanese credit spreads

Ubukata, Masato - In: Empirical economics : a journal of the Institute for … 57 (2019) 1, pp. 79-104

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