2019
DOI: 10.1007/s40815-019-00651-9
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Fuzzy Model Applied in Risk Perception and Price Forecasts…

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Cited by 2 publications
(2 citation statements)
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“…Some typical models sought in previous studies include the ARIMA model, VAR model and VECM model. Over the past decade, computational power has becoming much more affordable, and the interest among researchers in building machine learning models aiming at offering good forecasts in economics and finance has been well documented (Ge, Jiang, He, Zhu, & Zhang, 2020;Yang & Wang, 2019), including, of course, forecasts of commodity prices for the agricultural market (Abreham, 2019;Ali, Deo, Downs, & Maraseni, 2018;Antwi, Gyamfi, Kyei, Gill, & Adam, 2022;Ayankoya, Calitz, & Greyling, 2016;Degife & Sinamo, 2019;Deina et al, 2021;Dias & Rocha, 2019;Fang, Guan, Wu, & Heravi, 2020;Filippi et al, 2019;G omez, Salvador, Sanz, & Casanova, 2021;Handoyo & Chen, 2020;Harris, 2017;Huy, Thac, Thu, Nhat, & Ngoc, 2019;Jiang, He, & Zeng, 2019;Khamis & Abdullah, 2014;Kohzadi, Boyd, Kermanshahi, & Kaastra, 1996;Kouadio et al, 2018;Li, Chen, Li, Wang, & Xu, 2020, Li, Li, Liu, Zhu, & Wei, 2020Lopes, 2018;Mayabi, 2019;de Melo, J unior, & Milioni, 2004;Melo, Milioni, & Nascimento J unior, 2007;Moreno et al, 2018;Naveena et al, 2017;Rasheed, Younis, Ahmad, Qadir, & Kashif, 2021;dos Reis Filho, Correa, Freire, & Rezende, 2020;Ribeiro & Oliveira, 2011;Ribeiro, Ribeiro, Reynoso-Meza, & dos Santos Coelho, 2019;Ribeiro & dos Santos Coelho, 2020;RL & Mishra, 2021;…”
Section: Introductionmentioning
confidence: 99%
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“…Some typical models sought in previous studies include the ARIMA model, VAR model and VECM model. Over the past decade, computational power has becoming much more affordable, and the interest among researchers in building machine learning models aiming at offering good forecasts in economics and finance has been well documented (Ge, Jiang, He, Zhu, & Zhang, 2020;Yang & Wang, 2019), including, of course, forecasts of commodity prices for the agricultural market (Abreham, 2019;Ali, Deo, Downs, & Maraseni, 2018;Antwi, Gyamfi, Kyei, Gill, & Adam, 2022;Ayankoya, Calitz, & Greyling, 2016;Degife & Sinamo, 2019;Deina et al, 2021;Dias & Rocha, 2019;Fang, Guan, Wu, & Heravi, 2020;Filippi et al, 2019;G omez, Salvador, Sanz, & Casanova, 2021;Handoyo & Chen, 2020;Harris, 2017;Huy, Thac, Thu, Nhat, & Ngoc, 2019;Jiang, He, & Zeng, 2019;Khamis & Abdullah, 2014;Kohzadi, Boyd, Kermanshahi, & Kaastra, 1996;Kouadio et al, 2018;Li, Chen, Li, Wang, & Xu, 2020, Li, Li, Liu, Zhu, & Wei, 2020Lopes, 2018;Mayabi, 2019;de Melo, J unior, & Milioni, 2004;Melo, Milioni, & Nascimento J unior, 2007;Moreno et al, 2018;Naveena et al, 2017;Rasheed, Younis, Ahmad, Qadir, & Kashif, 2021;dos Reis Filho, Correa, Freire, & Rezende, 2020;Ribeiro & Oliveira, 2011;Ribeiro, Ribeiro, Reynoso-Meza, & dos Santos Coelho, 2019;Ribeiro & dos Santos Coelho, 2020;RL & Mishra, 2021;…”
Section: Introductionmentioning
confidence: 99%
“…Some typical models sought in previous studies include the ARIMA model, VAR model and VECM model. Over the past decade, computational power has becoming much more affordable, and the interest among researchers in building machine learning models aiming at offering good forecasts in economics and finance has been well documented (Ge, Jiang, He, Zhu, & Zhang, 2020; Yang & Wang, 2019), including, of course, forecasts of commodity prices for the agricultural market (Abreham, 2019; Ali, Deo, Downs, & Maraseni, 2018; Antwi, Gyamfi, Kyei, Gill, & Adam, 2022; Ayankoya, Calitz, & Greyling, 2016; Bayona-Oré, Cerna, & Hinojoza, 2021; Degife & Sinamo, 2019; Deina et al. , 2021; Dias & Rocha, 2019; Fang, Guan, Wu, & Heravi, 2020; Filippi et al.…”
Section: Introductionmentioning
confidence: 99%