Similar Search Results

Narrow search

Forecasting the Artificial Intelligence index returns : a hybrid approach

Zhang, Yue-jun; Zhang, Han; Gupta, Rangan - 2021

Persistent link: https://www.econbiz.de/10012692569

Interpreting the movement of oil prices : driven by fundamentals or bubbles?

Zhang, Yue-jun; Yao, Ting - In: Economic modelling 55 (2016), pp. 226-240

Persistent link: https://www.econbiz.de/10011642513

Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?

Zhang, Yue-jun; Lin, Jia-Juan - In: International review of financial analysis 66 (2019), pp. 1-11

Persistent link: https://www.econbiz.de/10012209039

Forecasting crude oil prices with shrinkage methods : can nonconvex penalty and Huber loss help?

Xing, Li-Min; Zhang, Yue-jun - In: Energy economics 110 (2022), pp. 1-19

Persistent link: https://www.econbiz.de/10013349910

A new hybrid method with data-characteristic-driven analysis for artificial intelligence and robotics index return forecasting

Zhang, Yue-jun; Zhang, Han; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-23

Forecasting returns for the Artificial Intelligence and Robotics Index is of great significance for financial market stability, and the development of the artificial intelligence industry. To provide investors with a more reliable reference in terms of artificial intelligence index investment,...

Persistent link: https://www.econbiz.de/10014289091