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Modeling and Forecasting Carbon Dioxide Emission Allowance Spot Price Volatility: Multifractal vs. GARCH-type Volatility Models
Segnon, Mawuli; Lux, Thomas; Gupta, Rangan - 2015
price volatility, and compares their forecasting performance to the standard GARCH, fractionally integrated GARCH (FIGARCH …) and the two-state Markov-switching GARCH (MS-GARCH) models via three loss functions (the mean squared error, the mean … criteria and forecast horizons, while MS-GARCH mostly comes out as the least successful model. Applying various VaR backtesting …
Persistent link: https://www.econbiz.de/10011306665
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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 … outperformed by other models, with long memory GARCH-type models coming out second best. …
Persistent link: https://www.econbiz.de/10010491278
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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 … outperformed by other models, with long memory GARCH-type models coming out second best. …
Persistent link: https://www.econbiz.de/10010488966
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Modeling and forecasting carbon dioxide emission allowance spot price volatility : multifractal vs. GARCH-type volatility models
Segnon, Mawuli; Lux, Thomas; Gupta, Rangan - 2015
price volatility, and compares their forecasting performance to the standard GARCH, fractionally integrated GARCH (FIGARCH …) and the two-state Markov-switching GARCH (MS-GARCH) models via three loss functions (the mean squared error, the mean … criteria and forecast horizons, while MS-GARCH mostly comes out as the least successful model. Applying various VaR backtesting …
Persistent link: https://www.econbiz.de/10011296114
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Jumps in geopolitical risk and the cryptocurrency market : the singularity of bitcoin
Bouri, Elie; Gupta, Rangan; Xuan Vinh Vo - In: Defence and peace economics 33 (2022) 2, pp. 150-161
Persistent link: https://www.econbiz.de/10013167286
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Real-time forecast of DSGE models with time-varying volatility in GARCH form
Ivashchenko, Sergey; Ҫekin, Semih Emre; Gupta, Rangan - 2022
Persistent link: https://www.econbiz.de/10012800653
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Bitcoin mining activity and volatility dynamics in the power market
Karmakar, Sayar; Demirer, Rıza; Gupta, Rangan - In: Economics letters 209 (2021), pp. 1-6
Persistent link: https://www.econbiz.de/10013209321
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Unemployment fluctuations and currency returns in the United Kingdom : Evidence from over one and a half century of data
Bathia, Deven; Demirer, Rıza; Gupta, Rangan; Kotzé, Kevin - In: Journal of multinational financial management 61 (2021), pp. 1-14
Persistent link: https://www.econbiz.de/10012887858
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Forecasting crude oil price volatility and value-at-risk : evidence from historical and recent data
Lux, Thomas; Segnon, Mawuli; Gupta, Rangan - In: Energy economics 56 (2016), pp. 117-133
Persistent link: https://www.econbiz.de/10011663878
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Time-varying correlations between trade balance and stock prices in the United States over the period 1792 to 2013
Antonakakis, Nikolaos; Gupta, Rangan; Tiwari, Aviral Kumar - In: Journal of economics and finance 42 (2018) 4, pp. 795-806
Persistent link: https://www.econbiz.de/10012031147