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Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree
Chen, Fu-Hsiang; Chi, Der-Jang; Wang, Yi-Cheng - In: Economic modelling 46 (2015), pp. 1-10
Persistent link: https://www.econbiz.de/10011434701
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High-dimensional covariance forecasting based on principal component analysis of high-frequency data
Jian, Zhihong; Deng, Pingjun; Zhu, Zhican - In: Economic modelling 75 (2018), pp. 422-431
Persistent link: https://www.econbiz.de/10012101548
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Modelling the implied volatility surface based on Shanghai 50ETF options
Wang, Jinzhong; Chen, Shijiang; Tao, Qizhi; Zhang, Ting - In: Economic modelling 64 (2017), pp. 295-301
Persistent link: https://www.econbiz.de/10011761005
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On the stochastic elasticity of variance diffusions
Kim, Jeong-Hoon; Yoon, Ji-Hun; Lee, Jungwoo; Choi, Sun-Yong - In: Economic modelling 51 (2015), pp. 263-268
Persistent link: https://www.econbiz.de/10011475989
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What determines volatility smile in China?
Li, Pengshi; Xian, Aichuan; Lin, Yan - In: Economic modelling 96 (2021), pp. 326-335
Persistent link: https://www.econbiz.de/10012745422
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Equity market information and credit risk signaling : a quantile cointegrating regression approach
Gatfaoui, Hayette - In: Economic modelling 64 (2017), pp. 48-59
Persistent link: https://www.econbiz.de/10011756467
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Financial stability and economic performance
Creel, Jérôme; Hubert, Paul; Labondance, Fabien - In: Economic modelling 48 (2015), pp. 25-40
Persistent link: https://www.econbiz.de/10011452339
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Improving forecast accuracy of financial vulnerability : PLS factor model approach
Kim, Hyeongwoo; Ko, Kyunghwan - In: Economic modelling 88 (2020), pp. 341-355
Persistent link: https://www.econbiz.de/10012417239
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Forecasting gold futures market volatility using macroeconomic variables in the United States
Fang, Libing; Yu, Honghai; Xiao, Wen - In: Economic modelling 72 (2018), pp. 249-259
Persistent link: https://www.econbiz.de/10012100333
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Ratings based inference and credit risk : detecting likely-to-fail banks with the PC-Mahalanobis Method
Pompella, Maurizio; Dicanio, Antonio - In: Economic modelling 67 (2017), pp. 34-44
Persistent link: https://www.econbiz.de/10011813761