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Uncertainty analysis-forecasting system based on decomposition-ensemble framework for PM2.5 concentration forecasting in China

Qu, Zongxi; Hao, Xiaogang; Zhao, Fazhen; Niu, Chunhua - In: Journal of forecasting 42 (2023) 8, pp. 2027-2044

Persistent link: https://www.econbiz.de/10014432836

DeepVaR : a framework for portfolio risk assessment leveraging probabilistic deep neural networks

Fatouros, Georgios; Makridis, Georgios; Kotios, Dimitrios; … - In: Digital finance : smart data analytics, investment … 5 (2023) 1, pp. 29-56

Persistent link: https://www.econbiz.de/10014251567

Hedging the portfolio of raw materials and the commodity under the mark-to-market risk

Fu, Junhui; Zhang, Wei-guo; Yao, Zheng; Zhang, Xili - In: Economic modelling 29 (2012) 4, pp. 1070-1075

Persistent link: https://www.econbiz.de/10009667441

The impact of financial enterprises’ excessive financialization risk assessment for risk control based on data mining and machine learning

Song, Yuegang; Wu, Ruibing - In: Computational economics 60 (2022) 4, pp. 1245-1267

Persistent link: https://www.econbiz.de/10013445743

Assessing asset tail risk with artificial intelligence : the application of artificial neural network

Becker, Ying L.; Guo, Lin; Nurmamatov, Odilbek - In: Advances in Pacific Basin business, economics, and finance 8 (2020), pp. 23-52

Persistent link: https://www.econbiz.de/10012601378

Assessing asset-liability risk with neural networks

Cheridito, Patrick; Ery, John; Wüthrich, Mario V. - In: Risks : open access journal 8 (2020) 1/16, pp. 1-17

We introduce a neural network approach for assessing the risk of a portfolio of assets and liabilities over a given time period. This requires a conditional valuation of the portfolio given the state of the world at a later time, a problem that is particularly challenging if the portfolio...

Persistent link: https://www.econbiz.de/10012203982

Analysis of internet financial risks based on deep learning and BP neural network

Liu, Zixian; Du, Guansan; Zhou, Shuai; Lu, Haifeng; Ji, Han - In: Computational economics 59 (2022) 4, pp. 1481-1499

Persistent link: https://www.econbiz.de/10013261996

Market modeling, forecasting and risk analysis with historical consistent neural networks

Zimmermann, Hans-Georg; Grothmann, Ralph; Tietz, Christoph - In: Operations research proceedings 2010 : selected papers …, (pp. 531-536). 2011

Persistent link: https://www.econbiz.de/10009298330

Forecasting core business transformation risk using the optimal rough set and the neural network

Wang, Delu; Song, Xuefeng; Yin, Wenying; Yuan, Jingying - In: Journal of forecasting 34 (2015) 6, pp. 472-477

Persistent link: https://www.econbiz.de/10011343610

Fitting an uncertain productivity learning process using an artificial neural network approach

Chen, Toly - In: Computational and mathematical organization theory 24 (2018) 3, pp. 422-439

Persistent link: https://www.econbiz.de/10011885564