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Research note: Forecasting film-induced tourism : the Dolphin Tale case
Corton, Maria Luisa; Ebrahimpour, Maling - In: Tourism economics : the business and finance of tourism … 20 (2014) 6, pp. 1349-1356
Persistent link: https://www.econbiz.de/10010509233
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Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine
Zhang, Wen; Wu, Zhibin - In: Journal of forecasting 41 (2022) 3, pp. 615-632
Persistent link: https://www.econbiz.de/10013166168
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Day ahead forecast of complex seasonal natural gas data to enhance procurement efficiency
Naim, Iram; Mahara, Tripti; Khan, Sharfuddin Ahmed - In: International journal of procurement management 13 (2020) 6, pp. 831-852
Persistent link: https://www.econbiz.de/10012515821
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Design of methods for long-term forecasting of development trends in the russian economy (methodology and model toolkit)
Suvorov, Nikolaj V.; Treshchina, S. V.; Beleckij, Ju. V. - In: Studies on Russian economic development 31 (2020) 6, pp. 636-646
Persistent link: https://www.econbiz.de/10012418002
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Limitation of ARIMA models in financial and monetary economics
Petrică, Andreea-Cristina; Stancu, Stelian; Tindeche, … - In: Theoretical and applied economics : GAER review 23 (2016) 4, pp. 19-42
Persistent link: https://www.econbiz.de/10011597578
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Revisiting the holt-winters’ additive method for better forecasting
Hansun, Seng; Charles, Vincent; Indrati, Christiana Rini; … - In: International journal of enterprise information systems … 15 (2019) 2, pp. 43-57
Persistent link: https://www.econbiz.de/10012035863
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Empirical study on Shanghai Composite Index forecast based on ARIMA model
Haijian, Wu; Li, Qianqian - In: Journal of world economic research 6 (2017) 6, pp. 71-74
Persistent link: https://www.econbiz.de/10011882633
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Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model
Zhang, Gaojun; Wu, Jinfeng; Pan, Bing; Li, Junyi; Ma, Minjie - In: Tourism economics : the business and finance of tourism … 23 (2017) 7, pp. 1496-1514
Persistent link: https://www.econbiz.de/10011772704
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Using conditional asymmetry to predict commodity futures prices
Dias, Fabio S. - In: International Journal of Financial Markets and … 8 (2021) 2, pp. 185-203
Persistent link: https://www.econbiz.de/10012598664
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Improving the accuracy: volatility modeling and forecasting using high-frequency data and the variational component
Kumar, Manish - In: Journal of industrial engineering and management : JIEM 3 (2010) 1, pp. 199-220
In this study, we predict the daily volatility of the S&P CNX NIFTY market index of India using the basic "heterogeneous autoregressive" (HAR) and its variant. In doing so, we estimated several HAR and Log form of HAR models using different regressor. The different regressors were obtained by...
Persistent link: https://www.econbiz.de/10011899155