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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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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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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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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
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Energy insecurity in Asia : a multi-dimensional analysis
Thai-Ha Le; Youngho, Chang; Taghizadeh-Hesary, Farhad; … - In: Economic modelling 83 (2019), pp. 84-95
Persistent link: https://www.econbiz.de/10012205541
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Which types of commodity price information are more useful for predicting US stock market volatility?
Liang, Chao; Ma, Feng; Li, Ziyang; Li, Yan - In: Economic modelling 93 (2020), pp. 642-650
Persistent link: https://www.econbiz.de/10012430321