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Structural breaks and GARCH models of stock return volatility : the case of South Africa
Babikir, Ali; Gupta, Rangan; Mwabutwa, Chance; … - In: Economic modelling 29 (2012) 6, pp. 2435-2443
Persistent link: https://www.econbiz.de/10009673703
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Energy-related uncertainty and international stock market volatility
Salisu, Afees A.; Ogbonna, Ahamuefula Ephraim; Gupta, Rangan - 2023
Persistent link: https://www.econbiz.de/10014443108
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Geopolitical risks, returns, and volatility in emerging stock markets : evidence from a panel GARCH model
Bouras, Christos; Christou, Christina; Gupta, Rangan; … - In: Emerging markets, finance and trade : EMFT 55 (2019) 8, pp. 1841-1856
Persistent link: https://www.econbiz.de/10012210912
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Differences of opinion and stock market volatility : evidence from a nonparametric causality-in-quantiles approach
Balcilar, Mehmet; Demirer, Rıza; Gupta, Rangan; Wohar, … - In: Journal of economics and finance 42 (2018) 2, pp. 339-351
Persistent link: https://www.econbiz.de/10012031009
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Risk spillover between the US and the remaining G7 stock markets using time-varying copulas with Markov switching : evidence from over a century of data
Ji, Qiang; Liu, Bing-Yue; Cuñado Eizaguirre, Juncal; … - In: The North American journal of economics and finance : a … 51 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012658792
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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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Forecasting volatility of commodity, currency, and stock markets : evidence from Markov switching multifractal models
Liu, Ruipeng; Segnon, Mawuli; Cepni, Oguzhan; Gupta, Rangan - 2023
Persistent link: https://www.econbiz.de/10014448138
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Modeling and forecasting crude oil price volatility : evidence from historical and recent data
Lux, Thomas; Segnon, Mawuli; Gupta, Rangan - 2015
heteroscedasticity (GARCH)-type models to forecast oil price volatility over the time periods from January 02, 1875 to December 31, 1895 … indicate that none of our volatility models can uniformly outperform other models across all six different loss functions …
Persistent link: https://www.econbiz.de/10010488966
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Forecasting the volatility of the Dow Jones Islamic Stock Market Index : long memory vs. regime switching
Nasr, Adnen Ben; Lux, Thomas; Ajmi, Ahdi Noomen; Gupta, … - In: International review of economics & finance : IREF 45 (2016), pp. 559-571
Persistent link: https://www.econbiz.de/10011626589
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Forecasting the volatility of the dow jones islamic stock market index : long memory vs. regime switching
Nasr, Adnen Ben; Lux, Thomas; Ajmi, Ahdi Noomen; Gupta, … - 2014
traditional asset classes, and estimation results and forecasting performance for various volatility models are also in line with … properties of the Dow Jones Islamic Stock Market Index (DJIM) and explore its volatility dynamics using a number of up …
Persistent link: https://www.econbiz.de/10010348307