Xiaojie Xu

North Carolina State University — United States

Economics, Econometrics and Finance · Social Sciences

72h-index13.4kcitations218works58.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Market Dynamics and Volatility(56), Forecasting Techniques and Applications(30), Energy Load and Power Forecasting(25), Stock Market Forecasting Methods(25), Monetary Policy and Economic Impact(24)

Publications218 total

A Bayesian-Optimized Gaussian Process Framework for Carbon Market Price Forecasting: An Application to Fujian’s Emissions Trading Scheme
Journal of Transition Economics and Finance·2025
Forecasting the Chinese energy security index price: A Gaussian process regression-based machine learning framework enhanced by Bayesian optimisation and cross-validation
Ironmaking & Steelmaking Processes Products and Applications·2025· 1 cited
Forecasts of share prices for China with machine learning
International Journal of Financial Engineering·2025· 4 cited
Real-Time Self-Adaptive SMPC for Non-IID Vehicular Data in Intelligent Transportation Systems
2025
EG-DAG: Efficient Federated Learning Framework Based on Guided Directed Acyclic Graph
2025
Forecasting China’s producer price index for production materials via Gaussian process regression within a Bayesian inference framework
Advances in Computational Intelligence·2025· 4 cited
Predicting the Trading Volume of the Thermal Coal Futures Through Gaussian Process Regressions
Journal of Uncertain Systems·2025· 9 cited
Forecasting Residential Property Prices in Jiaxing City, China: A Hybrid Machine Learning Framework Integrating Gaussian Process Regressions and Bayesian Optimization
Journal of Uncertain Systems·2025· 6 cited
Bayesian Gaussian Process Predictions of Chongqing Carbon Market Prices
Journal of Environmental Assessment Policy and Management·2025· 14 cited
LATE AND EARLY INDICA RICE’S PRICE FORECASTS THROUGH NEURAL NETWORKS
International Journal of Big Data Mining for Global Warming·2025· 36 cited
Predictive Modeling of Peanut Oil Prices Utilizing a Gaussian Process Regression-Based Machine Learning Framework
Advances in Data Science and Adaptive Analysis·2025· 39 cited
Predictions of Residential Property Prices for Ningbo City of Zhejiang Province in China Using Machine Learning
Advances in Data Science and Adaptive Analysis·2025· 8 cited
Forecasts of composite real estate price indices through gaussian process regressions
Discrete Mathematics Algorithms and Applications·2025· 9 cited
Machine Learning Heating Oil Price Forecasts
New Mathematics and Natural Computation·2025· 13 cited
Predicting the Producer Price Index (PPI) in China Using Gaussian Process Regression Frameworks Parameterized through Bayesian Inference
Journal of Transition Economics and Finance·2025· 10 cited
Forecasts of wholesale food price indices through Gaussian process regressions
International Journal of Mathematics for Industry·2025· 36 citedOpen Access
FORECASTS OF WHOLESALE SOYBEAN OIL PRICE INDICES VIA GAUSSIAN PROCESS REGRESSIONS
International Journal of Big Data Mining for Global Warming·2025· 33 cited
Rental price index forecasts of residential properties using Gaussian process regressions
Journal of Financial Management of Property and Construction·2025· 23 cited
High-Frequency CSI300 Spot and Futures Price Predictions via the Neural Network
Journal of Uncertain Systems·2025· 49 cited
Contemporaneous causal orderings among prices of retail properties: evidence from Chinese cities through vector error-correction modeling and directed acyclic graphs
Journal of Financial Management of Property and Construction·2025· 110 cited
page 1 of 11Next →

Frequent Co-authors

Yun Zhang(25), Bingzi Jin(15), Jacek Gondzio(2), Csaba Mészáros(2), Yun Zhang(2), Yinyu Ye(2), Erling D. Andersen(1), K. O. Kortanek(1), Erling D. Anderson(1), Pi-Fang Hung(1), Ibrahim Olanrewaju Alade(1)