Ming Taylor
Ming Taylor
(Ming Fang) Assistant Professor of Accounting, MT School of Management
PhD Program Co-Director
PhD Program Co-Director
4015 Central Avenue Building (CAB)
Education
Ph.D.; Rensselaer Polytechnic Institute; Accounting; 2015
M.S.; Johns Hopkins University; Applied Mathematics and Statistics; 2010
M.S.; Tsinghua University; Management Science and Engineering; 2008
B.A.; Tsinghua University; Finance; 2006
M.S.; Johns Hopkins University; Applied Mathematics and Statistics; 2010
M.S.; Tsinghua University; Management Science and Engineering; 2008
B.A.; Tsinghua University; Finance; 2006
Awards & Honors
2023 The British Accounting Review Best Paper Award for 2022, The British Accounting and Finance Association
2021 MTSM Faculty Research Award , MTSM, NJIT
2020 Faculty Fellowship Program in Israel, Jewish National Fund
2018 Vernon Zimmerman Best Paper Award, 30th Asian-Pacific Conference on international accounting issues
2018 Leir Research Prize 1st Place, NJIT
2021 MTSM Faculty Research Award , MTSM, NJIT
2020 Faculty Fellowship Program in Israel, Jewish National Fund
2018 Vernon Zimmerman Best Paper Award, 30th Asian-Pacific Conference on international accounting issues
2018 Leir Research Prize 1st Place, NJIT
Teaching Interests
Financial Accounting, Management Accounting, Financial Statement Analysis, Corporate Finance
Past Courses
ACCT 115: FUND OF FINANCIAL ACCOUNTING
ACCT 115: FUNDAMENTALS OF FINANCIAL ACCOUNTING
ACCT 117: PRINCIPLES OF FIN ACCOUNTNG
ACCT 325: INTERMEDIATE ACCOUNTING I
ACCT 335: MANAGERIAL ACCOUNTING II
ACCT 615: MANAGEMENT ACCOUNTING
ACCT 640: BIG DATA ANALYTICS FOR ACCOUNTING
BDS 791: DOCTORAL SEMINAR
ACCT 115: FUNDAMENTALS OF FINANCIAL ACCOUNTING
ACCT 117: PRINCIPLES OF FIN ACCOUNTNG
ACCT 325: INTERMEDIATE ACCOUNTING I
ACCT 335: MANAGERIAL ACCOUNTING II
ACCT 615: MANAGEMENT ACCOUNTING
ACCT 640: BIG DATA ANALYTICS FOR ACCOUNTING
BDS 791: DOCTORAL SEMINAR
Research Interests
Earnings Management, Financial Reporting, Fraud and Regulation, Tax Avoidance
Behavioral Accounting, Social Networks, Corporate Innovation, Emerging Markets
Journal Article
Fang, Ming, & Hasan, Iftakhar, & Sharma, Zenu, & Yan, An (2022). Firm Social Networks, Trust, and Security Issuance. The European Journal of Finance, 28(4-5), 514-549.
Taylor, Stephen M., & Taylor, Ming Fang, & Udinn, Ajim (2022). The Network Structure of Overnight Index Swap Rates. Finance Research Letters, 14; Part B,
Fang, Ming, & Francis, Bill, & Hasan, Iftekhar, & Wu, Qiang (2022). External Social Networks and Earnings Management. British Accounting Review, 54(2),
Taylor, Stephen M., & Taylor, Ming Fang (2021). A Machine Learning Based Asset Pricing Factor Model Extension. Economics Letters, 204,
Yan, Zhipeng, & Zhao, Yan, & Fang, Ming (2020). Immediate and Subsequent Market Responses to Earnings Announcements. China Accounting and Finance Review, 22(2), 35-53.
Taylor, Stephen M., & Taylor, Ming Fang, & Udinn, Ajim (2022). The Network Structure of Overnight Index Swap Rates. Finance Research Letters, 14; Part B,
Fang, Ming, & Francis, Bill, & Hasan, Iftekhar, & Wu, Qiang (2022). External Social Networks and Earnings Management. British Accounting Review, 54(2),
Taylor, Stephen M., & Taylor, Ming Fang (2021). A Machine Learning Based Asset Pricing Factor Model Extension. Economics Letters, 204,
Yan, Zhipeng, & Zhao, Yan, & Fang, Ming (2020). Immediate and Subsequent Market Responses to Earnings Announcements. China Accounting and Finance Review, 22(2), 35-53.
SHOW MORE
Taylor, Stephen M., & Kuo, Lilian, & Fang, Ming (2020). Sector Categorization Using Gradient Boosted Trees Trained On Fundamental Firm Data. Algorithmic Finance, 8(3-4), 91-99.
Taylor, Stephen M., & Fang, Ming, & El-rayes, Nesreen, & Smith, Michael (2020). Predicting Employee Attrition using Tree-based Models. International Journal of Organizational Analysis, 28(6), 1273-1291.
Ali, Yassmin, & Fang, Ming, & Soto, Pablo, & Taylor, Stephen M., & Wang, Xun (2019). Social Security Benefit Valuation, Risk, and Optimal. Risk, 7(4),
Wu, Deming, & Fang, Ming, & Wang, Qiang (2018). An Empirical Study of Bank Stress Testing for Auto Loans. Journal of Financial Stability, 39, 79-89.
Taylor, Stephen M., & Fang, Ming (2018). Unbiased Weighted Variance and Skewness Estimators for Overlapping Returns. Swiss Journal of Economics and Statistics, 154(21),
Taylor, Stephen M., & Fang, Ming, & El-rayes, Nesreen, & Smith, Michael (2020). Predicting Employee Attrition using Tree-based Models. International Journal of Organizational Analysis, 28(6), 1273-1291.
Ali, Yassmin, & Fang, Ming, & Soto, Pablo, & Taylor, Stephen M., & Wang, Xun (2019). Social Security Benefit Valuation, Risk, and Optimal. Risk, 7(4),
Wu, Deming, & Fang, Ming, & Wang, Qiang (2018). An Empirical Study of Bank Stress Testing for Auto Loans. Journal of Financial Stability, 39, 79-89.
Taylor, Stephen M., & Fang, Ming (2018). Unbiased Weighted Variance and Skewness Estimators for Overlapping Returns. Swiss Journal of Economics and Statistics, 154(21),
COLLAPSE