A5103139903- Financial Risk and Volatility Modeling
- Innovative Educational Techniques
- Technology and Human Factors in Education and Health
- Financial Markets and Investment Strategies
- Impulse Buying and Technology Impacts
- Market Dynamics and Volatility
- Materials Engineering and Processing
University of Nottingham Ningbo China
2024
Abstract We investigate the impact of macroeconomic variables on bond risk premia prediction via machine learning techniques. On basis Chinese treasury bonds from March 2006 to December 2022, we show that adding factors improves return forecasts and generates higher economic benefits investors. This is achieved when nonlinear relationship between returns modelled methods. Furthermore, importance determinants changes along yield curve. Our study sheds new light information contained in for...
This study explores the application of artificial intelligence-based teaching supervision systems in vocational education, addressing challenges traditional and supervision. The system leverages real-time monitoring, behavior recognition, data analysis to enhance quality management efficiency. A case demonstrates significant improvements student engagement, discipline, personalized learning outcomes, with classroom interaction rates increasing by 25% discipline issues decreasing 40%. Despite...