Xinyuan Tao
Xinyuan Tao
Assistant Professor of Finance, MT School of Management
CAB 4028
Education
Ph.D.; SUNY College at Buffalo; Finance; 2018
M.S.; SUNY College at Buffalo; Finance; 2012
B.S.; Tongji Universiry; Finance; 2011
M.S.; SUNY College at Buffalo; Finance; 2012
B.S.; Tongji Universiry; Finance; 2011
2025 Spring Courses
BDS 725 - INDEPENDENT STUDY I
FIN 600 - CORPORATE FINANCE I
FIN 725 - INDEPENDENT STUDY
BDS 790A - DOCTORAL DISSERTATION & RES
FIN 490 - INDEPENDENT STUDY IN FINANCE
BDS 792B - PRE-DOCTORAL RESEARCH
FIN 600 - CORPORATE FINANCE I
FIN 725 - INDEPENDENT STUDY
BDS 790A - DOCTORAL DISSERTATION & RES
FIN 490 - INDEPENDENT STUDY IN FINANCE
BDS 792B - PRE-DOCTORAL RESEARCH
Teaching Interests
Investment
Corporate Finance
Past Courses
FIN 218: FINANCIAL MARKETS AND INSTITUTIONS
FIN 218: FINANCL MARKETS & INSTITUTIONS
FIN 315: FUND OF CORPORATE FINANCE
FIN 315: FUNDAMENTALS OF CORPORATE FINANCE
FIN 600: CORPORATE FINANCE I
FIN 218: FINANCL MARKETS & INSTITUTIONS
FIN 315: FUND OF CORPORATE FINANCE
FIN 315: FUNDAMENTALS OF CORPORATE FINANCE
FIN 600: CORPORATE FINANCE I
Research Interests
Asset pricing
Market frictions
Behavioral finance
Journal Article
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2024. “The network factor of equity pricing: a signed graph laplacian approach.” Journal of Financial Econometrics .
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2024. “The network factor of equity pricing: a signed graph laplacian approach.” Journal of Financial Econometrics .
Xinyuan Tao, Xuewu Wang, Shaoqing Zhang. 2023. “Managerial Strategic Earnings Disclosure via Social Media: Evidence from 18 Million Corporate Tweets.” Journal of Behavioral Finance.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention based dynamic graph neural network for asset pricing.” Global Finance Journal, vol. 58.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention based dynamic graph neural network for asset pricing.” Global Finance Journal, vol. 58.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2024. “The network factor of equity pricing: a signed graph laplacian approach.” Journal of Financial Econometrics .
Xinyuan Tao, Xuewu Wang, Shaoqing Zhang. 2023. “Managerial Strategic Earnings Disclosure via Social Media: Evidence from 18 Million Corporate Tweets.” Journal of Behavioral Finance.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention based dynamic graph neural network for asset pricing.” Global Finance Journal, vol. 58.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention based dynamic graph neural network for asset pricing.” Global Finance Journal, vol. 58.
SHOW MORE
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention based dynamic graph neural network for asset pricing..” Global finance journal, vol. 58.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention Based Dynamic Graph Neural Network for Asset Pricing.” Global Finance Journal, vol. 58, no. November 2023.
Xinyuan Tao, Bo Wang, Junbo Wang, Chunchi Wu. 2022. “Economic Policy Uncertainty and the Cross-Section of Corporate Bond Returns.” Journal of Fixed Income.
Chia-Ching Chou , Winston Lin, Chieh Lee, Zhuang Qian , Xinyuan Tao. 2022. “Operational Values of Information Technology and Green Initiatives: The Stochastic Production Frontier Approach.” International Journal of Applied Decision Sciences.
Chia-Ching Chou, Chieh Lee, Xinyuan Tao, Zhuang Qian, Zhasmina TachevaInternational Journal of Management and Decision Making. 2022. “The Effects of Use of Multiple Social Media Platforms on Firm Performance: An Empirical Study.” International Journal of Management and Decision Making.
Hai Lin, Xinyuan Tao, Chunchi Wu. “Forecasting earnings with combination of analyst forecasts.” Journal of Empirical Finance.
Ajim Uddiin, Xinyuan Tao, Chia-Ching Chou, Dantong Yu. 2022. “Are missing values important for earnings forecasts? A machine learning perspective.” Quantitative Finance , vol. 22, no. 6, pp. 1113-1132 .
Ajim Uddiin, Xinyuan Tao, C C Chou, Dantong Yu. 2022. “Are missing values important for earnings forecast? a machine learning perspective..” Quantitative finance, vol. 22, no. 6, pp. 1113-1132.
Ajim Uddiin, Xinyuan Tao, Chia Ching Chou, Dantong Yu. 2022. “Are missing values important for earnings forecasts? A machine learning perspective.” Quantitative Finance, vol. 22, no. 6, pp. 1113-1132.
Chia-Ching Chou, Chieh Lee, Zhuang Qian, Xinyuan Tao. “Business Value of Social Media Adoption: A Comparison between the U.S. and Taiwan.” International Journal of Management and Decision Making.
Xinyuan Tao, Chunchi Wu. 2021. “Rating Labels and Style Investing: Evidence from Moody’s Rating Recalibration.” Financial Management.
Chia-Ching Chou, Winston Lin, Chieh Lee, Xinyuan Tao, Zhuang Qian . 2021. “The Impacts of Information Technology and E-commerce on Operational Performances: A Two- stage Dynamic Partial Adjustment Approach.” Journal of Industrial and Production Engineering.
Hai Lin, Xinyuan Tao, Junbo Wang, Chunchi Wu. 2020. “Credit Spreads, Business Conditions and Expected Corporate Bond Returns.” Journal of Risk and Financial Management .
Hai Lin, Xinyuan Tao, Junbo Wang, Chunchi Wu. 2020. “Further evidence of momentum in corporate bond returns.” Advances in Pacific Basin Business, Economics and Finance.
Ajim Uddiin, Xinyuan Tao, Dantong Yu. 2023. “Attention Based Dynamic Graph Neural Network for Asset Pricing.” Global Finance Journal, vol. 58, no. November 2023.
Xinyuan Tao, Bo Wang, Junbo Wang, Chunchi Wu. 2022. “Economic Policy Uncertainty and the Cross-Section of Corporate Bond Returns.” Journal of Fixed Income.
Chia-Ching Chou , Winston Lin, Chieh Lee, Zhuang Qian , Xinyuan Tao. 2022. “Operational Values of Information Technology and Green Initiatives: The Stochastic Production Frontier Approach.” International Journal of Applied Decision Sciences.
Chia-Ching Chou, Chieh Lee, Xinyuan Tao, Zhuang Qian, Zhasmina TachevaInternational Journal of Management and Decision Making. 2022. “The Effects of Use of Multiple Social Media Platforms on Firm Performance: An Empirical Study.” International Journal of Management and Decision Making.
Hai Lin, Xinyuan Tao, Chunchi Wu. “Forecasting earnings with combination of analyst forecasts.” Journal of Empirical Finance.
Ajim Uddiin, Xinyuan Tao, Chia-Ching Chou, Dantong Yu. 2022. “Are missing values important for earnings forecasts? A machine learning perspective.” Quantitative Finance , vol. 22, no. 6, pp. 1113-1132 .
Ajim Uddiin, Xinyuan Tao, C C Chou, Dantong Yu. 2022. “Are missing values important for earnings forecast? a machine learning perspective..” Quantitative finance, vol. 22, no. 6, pp. 1113-1132.
Ajim Uddiin, Xinyuan Tao, Chia Ching Chou, Dantong Yu. 2022. “Are missing values important for earnings forecasts? A machine learning perspective.” Quantitative Finance, vol. 22, no. 6, pp. 1113-1132.
Chia-Ching Chou, Chieh Lee, Zhuang Qian, Xinyuan Tao. “Business Value of Social Media Adoption: A Comparison between the U.S. and Taiwan.” International Journal of Management and Decision Making.
Xinyuan Tao, Chunchi Wu. 2021. “Rating Labels and Style Investing: Evidence from Moody’s Rating Recalibration.” Financial Management.
Chia-Ching Chou, Winston Lin, Chieh Lee, Xinyuan Tao, Zhuang Qian . 2021. “The Impacts of Information Technology and E-commerce on Operational Performances: A Two- stage Dynamic Partial Adjustment Approach.” Journal of Industrial and Production Engineering.
Hai Lin, Xinyuan Tao, Junbo Wang, Chunchi Wu. 2020. “Credit Spreads, Business Conditions and Expected Corporate Bond Returns.” Journal of Risk and Financial Management .
Hai Lin, Xinyuan Tao, Junbo Wang, Chunchi Wu. 2020. “Further evidence of momentum in corporate bond returns.” Advances in Pacific Basin Business, Economics and Finance.
COLLAPSE
Conference Proceeding
“A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation”
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023.
“A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation”
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023.
“A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation”
ACM, November 2023.
“Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion”
ACM, 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
ACM, 2022.
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023.
“A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation”
4th ACM International Conference on AI in Finance: ICAIF'23, November 2023.
“A Fast Non-Linear Coupled Tensor Completion Algorithm for Financial Data Integration and Imputation”
ACM, November 2023.
“Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion”
ACM, 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
ACM, 2022.
SHOW MORE
“Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion”
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022.
“Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion”
November 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
November 2022.
“Attention Based Dynamic Graph Learning Framework for Asset Pricing”
ACM, 2021.
“Attention Based Dynamic Graph Learning Framework for Asset Pricing”
30th ACM International Conference on Information & Knowledge Management, CIKM-2021, October (4th Quarter/Autumn) 2021.
“Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast”
IEEE, 2020.
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
3th ACM International Conference on AI in Finance: ICAIF'22, November 2022.
“Machine Learning for Earnings Prediction: A Nonlinear Tensor Approach for Data Integration and Completion”
November 2022.
“Temporal Bipartite Graph Neural Networks for Bond Prediction”
November 2022.
“Attention Based Dynamic Graph Learning Framework for Asset Pricing”
ACM, 2021.
“Attention Based Dynamic Graph Learning Framework for Asset Pricing”
30th ACM International Conference on Information & Knowledge Management, CIKM-2021, October (4th Quarter/Autumn) 2021.
“Nonlinear Tensor Completion Using Domain Knowledge: An Application in Analysts' Earnings Forecast”
IEEE, 2020.
COLLAPSE