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A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting
Jun Zhang, Yue
;
Zhang, Han
;
Gupta, Rangan
(
Springer
,
2023-04-10
)
Analysing the impact of Brexit on global uncertainty using functional linear regression with point of impact: the role of currency and equity markets
Mangisa, Siphumlile
;
Das, Sonali
;
Gupta, Rangan
(
World Scientific Publishing
,
2022-06
)
Are real interest rates a monetary phenomenon? Evidence from 700 years of data
Plakandaras, Vasilios
;
Gupta, Rangan
;
Karmakar, Sayar
;
Wohar, Mark
(
Elsevier
,
2023-10
)
Business applications and state-level stock market realized volatility : a forecasting experiment
Bonato, Matteo
;
Cepni, Oguzhan
;
Gupta, Rangan
;
Pierdzioch, Christian
(
Wiley
,
2024
)
Climate risks and forecastability of the weekly state-level economic conditions of the United States
Cepni, Oguzhan
;
Gupta, Rangan
;
Liao, Wenting
;
Ma, Jun
(
Wiley
,
2024-03
)
Climate risks and predictability of the trading volume of gold : evidence from an INGARCH model
Karmakar, Sayar
;
Gupta, Rangan
;
Cepni, Oguzhan
;
Rognone, Lavinia
(
Elsevier
,
2023-05
)
Climate risks and state-level stock market realized volatility
Bonato, Matteo
;
Cepni, Oguzhan
;
Gupta, Rangan
;
Pierdzioch, Christian
(
Elsevier
,
2023-11
)
Contagious diseases and gold : over 700 years of evidence from quantile regressions
Bouri, Elie
;
Gupta, Rangan
;
Nel, Jacobus
;
Shiba, Sisa
(
Elsevier
,
2022-12
)
Do US economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach
Gupta, Rangan
;
Pierdzioch, Christian
(
SpringerOpen
,
2023-01
)
Economic disasters and inequality : a note
Ćorić, Bruno
;
Gupta, Rangan
(
Springer
,
2023-10
)
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Gupta, Rangan (49)
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SDG-08: Decent work and economic growth (50)
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Generalized autoregressive conditional heteroskedasticity (GARCH) (5)
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