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Forecasting crude oil demand using a hybrid SVR and Markov approach

Xu, Wei; Wang, Jue; Ma, Jian - In: Business intelligence in economic forecasting : …, (pp. 235-247). 2010

Persistent link: https://www.econbiz.de/10003994067

Parallel aspect-oriented sentiment analysis for sales forecasting with big data

Lau, Raymond Yiu Keung; Zhang, Wenping; Xu, Wei - In: Production and operations management : the flagship … 27 (2018) 10, pp. 1775-1794

Persistent link: https://www.econbiz.de/10011970061

Moment matching machine learning methods for risk management of large variable annuity portfolios

Xu, Wei; Chen, Yuehuan; Coleman, Conrad; Coleman, Thomas F. - In: Journal of economic dynamics & control 87 (2018), pp. 1-20

Persistent link: https://www.econbiz.de/10011973875

Link prediction combining network structure and topic distribution in large-scale directed network

Zhu, Yingqiu; Huang, Danyang; Xu, Wei; Zhang, Bo - In: Journal of organizational computing and electronic commerce 30 (2020) 2, pp. 169-185

Persistent link: https://www.econbiz.de/10012264456

Topic sentiment mining for sales performance prediction in e-commerce

Yuan, Hui; Xu, Wei; Li, Qian; Lau, Raymond - In: Big data analytics in operations and supply chain management, (pp. 553-576). 2018

Persistent link: https://www.econbiz.de/10011965518

Network-based prediction of financial cross-sector risk spillover in China : a deep learning approach

Tang, Pan; Xu, Wei; Wang, Haosen - In: The North American journal of economics and finance : a … 72 (2024), pp. 1-23

Persistent link: https://www.econbiz.de/10014534833

Does Numerical Information Matter for Predicting Default Rates? --- Evidence from a P2P Lending Platform

Ma, Long; Peng, Yuchao; Wei, Xu - 2022

Using 2012 to 2014 data from the Lending Club, this paper investigates the impact of numerical information in descriptive texts on the ex post default rate in online P2P lending. We find that that borrowers providing numerical information with higher density are less likely to default. However,...

Persistent link: https://www.econbiz.de/10013404228