教育背景

1993.09-1996.08，香港科技大学概率论与数理统计专业，哲学（数学）博士学位

1992.09-1993.09，中国科公司数学研究所，博士研究生

1986.09-1989.01，哈尔滨工业大学数学专业，理学硕士学位

1978.03-1982.01，齐齐哈尔大学（原齐齐哈尔师范公司）数学专业，理学学士学位

 

工作经历

2001.06-至今，太阳成集团tyc122cc，教授

1998.05-2001.06，太阳成集团tyc122cc，副教授

1996.09-1998.05，中国科公司数学研究所，博士后

1989.02-1992.07，齐齐哈尔大学数学系，讲师

1982.02-1986.07，齐齐哈尔大学数学系，助教

 

研究方向

金融随机分析、金融高频数据分析、随机过程的统计推断

 

荣誉奖励

1. 金融风险测度理论研究，高等公司科学研究优秀成果奖（自然科学）二等奖，第1获奖人，中华人民共和国教育部，2016年2月

2. 政府特殊津贴，中华人民共和国国务院，2016年12月

3. 新世纪人才支持计划，中华人民共和国教育部，2005年11月

科研项目

1. 倒向随机微分方程、非线性数学期望及其应用研究，国家自然科学基金面上项目，10771214，主持，2008.01---2010.12

2. 基于高频数据的股市极端风险测度及其防范研究, 国家自然科学基金面上项目，71071155, 主持，2011.01---2013.12

3. 国家自然科学基金(71271210):金融资产配置中面板数据动态因子模型研究(2013.1-2016.12)

4. 非对称随机波动建模及其在金融风险管理中的应用研究，国家自然科学基金面上项目71471173，主持， 2015.01-2018.12

5. 基于非结构化数据的个人信用评价，国家自然科学基金面上项目，71873137，主持， 2019.01-2022.12

6. 面向中小微企业金融信息服务的网络结构数据建模及应用，国家自然科学基金面上项目， 72271232，主持， 2023.01-2026.12

7. 基于高频数据的中国金融市场微观结构研究，教育部人文社科重点研究基地重大项目，07JJD910244，主持，200801-2010.12.

8. 金融风险测度与管理若干前沿问题研究，教育部人文社科重点研究基地重大项目，14JJD910002，主持，2015.01-2017.12.

 

教改项目

1. 面向学科发展前沿、引导创新型学习——统计学专业基础理论课程教学改革，太阳成集团122cc官网入口优秀教学成果二等奖（第一获奖人），2012。

科研发表

1. Liang, W., Fan, X*, Wu, B., & Zhang, B*. (2025). Network-Assisted High-Dimensional Factor Model Estimation. Journal of Business & Economic Statistics, 1–30. https://doi.org/10.1080/07350015.2025.2548851   

2. Hu Wei, Huang Danyang, Zhang Bo(2025), "Pseudo-Likelihood Ratio Screening based on Network Data with Applications" Annals of Applied Statistics，2025, Vol. 19, No. 3, 2517-2538

3. Zhao Yuzhou, Fan Xinyan, Zhang Bo(2025)，Network Assisted Approximate Factor Model Estimation, Statistica Sinica, https//doi:10.5705/ss.202024.0170

4. Liang Wanwan, Wu Ben, Fan Xinyan * Zhang Bo * (2025). Multi-Network Assisted Clustering Using a Grouped Factor Model ， Statistic and computing. 35, 187 . https://doi.org/10.1007/s11222-025-10719-2

5. Ding Y, Zhu X, Pan R*, Zhang B* (2025). "Network Vector Autoregression with Time-Varying Nodal Influence", Computational Economics, 2025,1-27.

6. Ding Y, Deng J and Zhang B (2025). An improved Spectral Clustering Method for Large-Scale Sparse Networks. Statistics and Its Interface，18（18），57-66.

7. Liang W, Wu B* and Zhang B* (2024) "Modeling volatility for high-frequency data with rounding error: a nonparametric Bayesian approach". Statistics and Computing, 34, 23 (2024). https://doi.org/10.1007/s11222-023-10341-0.

8. Gao W, Wu B* and Zhang B* (2024). "High-frequency volatility estimation and prediction with a novel Bayesian LGI model", Electronic Journal of Statistics, 18(2): 3497-3534 .

9. Deng J, Huang D, Zhang B (2024), "Distributed Pseudo-Likelihood Method for Community Detection in Large-Scale Networks". Transactions on Knowledge Discovery from Data, 18(7). https://dl.acm.org/doi/10.1145/3657300.

10. Deng J, Ding Y, Zhu Y, Huang D*, Jing B, Zhang B* (2024)."Subsampling Spectral Clustering for Stochastic Block Models in Large-Scale Networks"，Computational Statistics and Data Analysis.189(1), 107835.

11. Deng J, Huang D, Chang X, Zhang B(2024) "Subsampling-based modified Bayesian information criterion for large-scale stochastic block models," Electronic Journal of Statistics,18(2), 4724-4766.

12. Zhu Y, Huang D*, Zhang B* (2025), "A Wasserstein distance-based spectral clustering method for transaction data analysis", Expert Systems with Applications, 260, 125418,https://doi.org/10.1016/j.eswa.2024.125418.

13. Liang W, Wu B, Fan X, Jing B, Zhang B*(2023) "High-dimensional volatility matrix  estimation with the cross-sectional dependent and heavy-tailed microstructural noises"，Journal of Systems Science & Complexity, 36(5), 2125–2154.

14. Ding Y, Pan R*, Zhang Y, Zhang B* (2023), "A Matrix Completion Bootstrap Method for Estimating Scale-Free Network Degree Distribution", Knowledge-Based Systems. 277, 110803

15. Huang D, Hu W*, Jing B, Zhang B* (2023), "Grouped Spatial Autoregressive Model", Computational Statistics and Data Analysis. 178(2),107601.

16. Zhu Y, Deng Q, Huang D*, Jing B, Zhang B* (2021). "Clustering based on Kolmogorov–Smirnov statistic with application to bank card transaction data". Journal of the Royal Statistical Society: Series C, 70（3）June: 558-578.

17. Hu W, Huang D*, Jing B, Zhang B* (2021). "Crawling Subsampling for Multivariate Spatial Autoregressive Model in Large-Scale Networks". Electronic Journal of Statistics, 15( 2), 3678-3707.

18. Zhu Y, Huang D*, Xu W, Zhang B. (2020). "Link prediction combining network structure and topic distribution in large-scale directed network". Journal of Organizational Computing and Electronic Commerce, 30(2), 169-185.

19. Fang G, Zhang B* and Chen K (2020), "Estimation of Dynamic Mixed Double Factors Model in High Dimensional Panel Data"，Soft Computing, 24(4), 2527-2541.

20. Qian Y, Ralescu D A, Zhang B* (2019). "The analysis of factors affecting global gold price". Resources Policy, 64, 101478..

21. Zhou S, Zhou J, Zhang B* (2019). "High-dimensional generalized linear models incorporating graphical structure among predictors". Electronic Journal of Statistics, 13(2), 3161-3194.

22. Zhou S, Zhou J, Zhang B (2019), "Overlapping group lasso for high-dimensional generalized linear models"，Communications in Statistics - Theory and Methods.   48(19),  4903-4917

23. Wu H., Jiang Y., Ma Y., & Zhang B. (2018). "Credit spread index of fixed income securities in China". Soft Computing, 22(17), 5625-5630.

24. Yu C, Zhao X & Zhang B (2017), "Nonparametric Estimation of Jump Characteristics under Market Microstructure Noise", Communications in Statistics  Simulation and Computation 46(5), 3575-3587.

25. Zhang B, Bi T (2016), Intraday Serial Correlation, Volatility and Jump: Evidence From China's Stock Market, Communication in Statistics Simulation and Computation, 45 (4)1226–1239.

26. Yu C, Fang Y, Li Z, Zhang B, Zhao X(2014), "Non-Parametric Estimation Of High-Frequency Spot Volatility for Brownian Semimartingale with Jumps", Journal of Time Series Analysis, 35(6),  572–591.

27. Ma Y，Zhang B and Jiang Y (2014)，"Measure Systemic Risk Of Chinese Listed Banks Based On Mes Multifactor Model." In Proceedings of the 6th International Conference on Financial Risk and Corporate Finance Management 294-302，Qingdao，2014.

28. Jiang H，Zhang B*(2013), "Dynamical Memory Control Based on Projection Technique for Online Regression", Soft Computing, 17(4), 587-596. 

29. Jing B, Kong X, Liu Z and Zhang B(2013), "Evaluating The Hedging Error in Price Processes with Jumps Present"，Statistics and its Interface, 6(4), 413–425.

30. Zou X, Wei Q, and Zhang B (2012) "Empirical Research on M&A and Performance of Private Enterprises in China", Quality and Quantity 46(2), 639-651.

31. Xu J, Shang H and Zhang B*(2011) "A Girsanov Type Theorem Under G Framework", Stochastic Analysis and Applications, 29(3), 386-406.

32. Bi T, Zhang B* and Xu R (2011)，"Dynamics of intraday serial correlation in China’s stock market", Communication in Statistics – Simulation and Computation, 40(10),1637-1650.

33. Zhang B, Xu J and Kannan D (2010), "Extension and Application of Ito’s Formula under G-Framework",  Stochastic Analysis and Applications，28(2), 322-349.  

34. Xu J and Zhang B* (2010), "Martingale property and capacity under G-framework", Electronic Journal of Probability, 15, 2041-2068.

35. Zhang B and Bi T (2010) "Intraday serial correlation, realized volatility and trading volume in China's stock market returns." In Proceedings of the First International Conference on Uncertainty Theory, Urumuchi & Kashi, China, August 12-19, 2010.

36. Li B and Zhang B* (2009), "On A Class of Quadratic Growth RBSDE with Jumps and Its Application", Stochastic Models 25(3). 483 – 507.

37. Ding Y and Zhang B* (2009), "Optimal Portfolio of Safety-First Models"，Journal of Statistical Planning and Inference，139(9),2952-2962.

38. Xu J and Zhang B* (2009), "Martingale Characterization of G-Brownian Motion", Stochastic Processes and their Applications, 119(1), 232-248.

39. Ding Y and Zhang B* (2009). "Risky Asset Pricing Based on Safety First Funds Management", Quantitative Finance, 9(3), 353-361.

40. Jing B, Kong X, Liu Z, Zhang B. (2009). "Stochastic regression and its application to hedging in finance". Science in China Series A: Mathematics, 52(6), 1365-1372.

41. Xu M, Zhang B (2009). "Explicit Martingale Representations for Brownian Polynomials and Their Paths Fitting" In Recent Advance in Statistics Application and Related Areas, Conference Proceedings for 2009 international Institute of Applied Statistics Studies, Qingdao China.

42. Zhang B, Tian J and Zhong Y (2008), "Realized Volatility and Forecasting: Based on High Frequency Data of Equity Market of China."In Proceeding Of The Seventh International Conference On Information And Management Sciences Volume: 7, 304-312.

43. Zhang B, Xu J. and Kannan D (2007). "A Backward Stochastic Differential Equation Model in  Life Insurance"，Dynamic Systems and Applications 16(2)，327-336. 

44. Zhao X，Zhang B*,Mao Z (2007), "Optimal Dividend Payment Strategy under Stochastic Interest Force",  Quality and Quantity 41(6), 927-936.

45. Xu J, Kannan D, and Zhang B (2007). "Optimal Dynamic Control for Defined Benefit Pension Plans with Stochastic Benefit Outgo",  Stochastic Analysis and Applications，25(1),201-236

46. Zhang B, Zhang J, Kannan D (2005) , "Nonlinear Stochastic Difference Equations Driven by Martingales", Stochastic Analysis and Applications, 23(6), 1277 – 1304.

47. Zhang B, Xue F(2004), Stability of Stochastic Evolution Equations in Hilbert Spaces, Dynamics of Continuous, Discrete and Impulsive systems, Series: A, Mathematical Analysis, 11(1). 31-40.

48. Zhang J, Zhang B(2004), "Asymptotic Flatness of Stochastic Flow on Manifolds", Journal of Mathematical Research with Applications, 24(2)，191~197.

49. Zhang B and Kannan D (2002), "Discrete-time Martingales with Spatial Parameters", Stochastic Analysis and Applications 20(5), 1101 – 1131.

50. Kannan D, Zhang B (2002), "A Discrete-Time Ito’s Formula", Stochastic Analysis and Applications, 20(5), 1133 – 1140.

51. Zhang B, Zhang J(2002), "Stability of Stochastic Volterra Equations with Anticipating Kernel", Journal of Mathematical Research with Applications, 22(2),167-176.

52. Tsoi A , Zhang B (2000),"Retarded Jump-Diffusion Equations and Stability", Communications in Applied Analysis, 4(4), 495-510.

53. Zhang B， Kannan D (2000)，"A Numerical Analysis of Stochastic Neural Network", Neural Parallel, and Scientific Computations, 8, 209-242.

54. Tsoi A H, Zhang B (1997), "Practical stability of Ito type nonlinear stochastic differential systems and related control problems", Dynamical Systems and Applications, 6(1), 107-124.

55. Tsoi A H, Zhang B (1997), "Weak exponential stability of stochastic differential equations", Stochastic Analysis and Applications, 15(4), 643-649.

56. 贺钰淇，吴奔，张波(2025)，"宏观经济政策下的高频股指跳跃建模"，《计量经济学报》,5(x)（forthcoming）.

57. 朱映秋,郑畅,张波*(2025), "金融时间序列的自适应贝叶斯在线变点检测"，《统计研究》, 42(1),145-160.

58. 朱映秋,黄丹阳,张波(2024), "基于高斯混合模型的分布因子聚类方法", 《统计研究》, 41(6), 147-160.

59. 高维清，吴奔，张波*(2023)，"通货膨胀率的非平稳时间序列预测和结构性断点诊断: 以中美等国为例"，《计量经济学报》, 3(1): 108-127.

60. 高维清，吴奔*，张波*(2022)，"金融高频高维数据的波动率矩阵估计：基于GARCH-Ito分组因子模型"，《中国科学数学》 52（11），1333-1360.

61. 朱映秋，张波*(2021)，"基于已实现波动率的上证综指异常时序检测"，《系统工程理论与实践》，41(3): 625-635.

62. 张波，范超（2020），"具有核化函数的部分线性模型及其应用"，《统计研究》，37(1)，110-128.

63. 吴奔，张波*，赵丽丽 (2019)，"不规则时间序列波动率建模：高频与低频的统一"，《系统工程理论与实践》，39(1): 36-48.

64. 张波，刘晓倩 (2019), "基于Fused惩罚的稀疏主成分分析",《统计研究》， 36(4): 119-128.

65. 王荣欣, 张波, 邓军* (2018). "波动性传导, 市场板块差异与股票流动性——基于高频交易量价结合的新角度"，《国际金融研究》, (4)10, 76-85. 

66. 吴奔,  张波 (2017). "交易信息, 跳跃发现与波动率估计". 《统计研究》, 34(8), 109-119.

67. 徐美萍，张波 (2017)，"稳定分布中偏度参数的一个新估计"，《中国科学数学》，43（4） ，423-434.

68. 张波、蒋远营 (2017), "基于中国股票高频交易数据的随机波动建模与应用", 《统计研究》， 34（3），107-117.

69. 赵丽丽，张波* (2017)，"基于改进ICA模型的高维波动率估计"，《数理统计与管理》，36(1),38-50.

70. 吴奔，张波(2015)，"Hawkes过程分支比估计：一种简单的非参数方法" ，《统计研究》， 32(3): 92-99.

71. 方国斌，张波*(2014)，"金融资产配置中的因子面板随机波动模型"，《统计研究》，31(3): 90-98.

72. 徐静，张波 (2006)，"给付确定型养老金计划的动态最优控制"，《自然科学进展》，16(09):1174-1180.

73. 张波，张景肖 (2003)，"具有马氏转换的离散随机系统的性能分析"《自然科学进展》，13(11):1141-1146.

74. 张波 (2000)，"补偿Levy流的实践稳定性"，《数学学报》, 43(6),1127-1134.

75. 叶以宁，张波 (1994)，"Lorentz序列空间的装球值问题",《数学学报》，37(5) 611-620.

 

著作教材

1. Zhang Bo，Stochastic Differential Equations—Models and Applications，Global-Link Publishing Company, Hong Kong, September 2010

2. 张波、余超、毕涛著，《高频金融数据建模：理论、方法与应用》，清华大学出版社，2015年10月

3. 张波、商豪、邓军编著，《应用随机过程（第6版）》，太阳成集团122cc官网入口出版社，2023年10月

4. 张波、张景肖、肖宇谷编著，《应用随机过程（第2版）》，普通高等教育“十五”国家级规划教材，清华大学出版社，2019年11月

5. 张波、张伦传编，《实变函数论（第2版）》，清华大学出版社，2017年2月

 

教学课程

1. 本科课程：概率论、随机过程、实变函数

2. 研究生课程：高等概率论、高等统计学、随机过程、随机分析

 

社会兼职

1. 2009-2025, Associate Editor, Communication in Statistics, Theory and Methods. Print ISSN: 0361-0926 Online ISSN: 1532-415X

2. 2009-2025, Associate Editor, Communication in Statistics, Simulation and Computation. Print ISSN: 0361-0918 Online ISSN: 1532-4141