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Predicting stock market movements with a time-varying consumption-aggregate wealth ratio
Chang, Tsangyao; Gupta, Rangan; Majumdar, Anandamayee; … - In: International review of economics & finance : IREF 59 (2019), pp. 458-467
Persistent link: https://www.econbiz.de/10012203261
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Oil-price uncertainty and international stock returns : dissecting quantile-based predictability and spillover effects using more than a century of data
Balcilar, Mehmet; Gupta, Rangan; Pierdzioch, Christian - 2022
Persistent link: https://www.econbiz.de/10013166706
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Time-varying evidence of predictability of financial stress in the United States over a century : the role of inequality
Balcilar, Mehmet; Berisha, Edmond; Gupta, Rangan; … - In: Structural change and economic dynamics : SC+ED 57 (2021), pp. 87-92
Persistent link: https://www.econbiz.de/10012648494
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Terror attacks and stock-market fluctuations : evidence based on a nonparametric causality-in-quantiles test for the G7 countries
Balcilar, Mehmet; Gupta, Rangan; Pierdzioch, Christian; … - In: The European journal of finance 24 (2018) 4/6, pp. 333-346
Persistent link: https://www.econbiz.de/10012244323
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On exchange-rate movements and gold-price fluctuations : evidence for gold-producing countries from a nonparametric causality-in-quantiles test
Balcilar, Mehmet; Gupta, Rangan; Pierdzioch, Christian - In: International economics and economic policy : IEEP 14 (2017) 4, pp. 691-700
Persistent link: https://www.econbiz.de/10011878130
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Do terror attacks affect the dollar-pound exchange rate? : a nonparametric causality-in-quantiles analysis
Balcilar, Mehmet; Gupta, Rangan; Pierdzioch, Christian; … - In: The North American journal of economics and finance : a … 41 (2017), pp. 44-56
Persistent link: https://www.econbiz.de/10011878932
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Uncertainty and forecastability of regional output growth in the UK : evidence from machine learning
Balcilar, Mehmet; Gabauer, David; Gupta, Rangan; … - In: Journal of forecasting 41 (2022) 6, pp. 1049-1064
Persistent link: https://www.econbiz.de/10013465678
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Uncertainty and forecastability of regional output growth in the UK: Evidence from machine learning
Balcilar, Mehmet; Gabauer, David; Gupta, Rangan; … - In: Journal of Forecasting 41 (2022) 6, pp. 1049-1064
Utilizing a machine learning technique known as random forests, we study whether regional output growth uncertainty helps to improve the accuracy of forecasts of regional output growth for 12 regions of the UK using monthly data for the period from 1970 to 2020. We use a stochastic volatility...
Persistent link: https://www.econbiz.de/10013382237
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Machine learning predictions of housing market synchronization across US states : the role of uncertainty
Gupta, Rangan; Marfatia, Hardik A.; Pierdzioch, Christian; … - In: The journal of real estate finance and economics 64 (2022) 4, pp. 523-545
Persistent link: https://www.econbiz.de/10013170484
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Forecasting realized volatility of international REITs : the role of realized skewness and realized kurtosis
Bonato, Matteo; Cepni, Oguzhan; Gupta, Rangan; … - In: Journal of forecasting 41 (2022) 2, pp. 303-315
Persistent link: https://www.econbiz.de/10012817752