个人简介

简介 牛红丽，理学博士，2016年06月毕业于北京交通大学数学系，主要研究领域为金融物理学、金融市场建模、金融统计、神经网络预测等，在国内外期刊发表学术论文20余篇，主持了中国博士后科学基金，中央高校基本科研业务费项目，教育部人文社科研究项目。 教育经历 2011/09-2016/06 北京交通大学 理学院 理学博士 2013/09-2014/08 The University of Kiel (Germany) 访问学者 2007/09-2011/06 北京交通大学 理学院 理学学士

研究领域

金融物理学、金融统计、金融时间序列分析、神经网络预测

主要科研项目 主持项目： 2018.03-2020.12 教育部人文社科规划项目“ 应用改进的渗流模型研究股票价格波动的统计规律性质” 2017.08-2018.12 中国博士后面上基金项目（一等）“应用3D渗流系统研究金融市场价格波动”。 2018.07-2020.06 主持研究型教学示范课程建设项目一项 2015.01-2016.06 北京交通大学优秀博士生创新项目III类“随机交互金融价格模型及统计分析”。 2014.01-2014.12 北京交通大学优秀博士生创新项目“有限程选举交互系统在金融市场的应用”。 参与项目： 2018.03-2021.12 教育部人文社科规划项目“结构突变下农产品期货市场风险传染与系统性风险测度研究” 2018.05-2021.06 北京市哲学社科规划项目“多目标下京津冀能源行业与环境优化模型与调控策略研究” 2018.01-2020.12 国家自然科学基金项目“多重不确定扰动下能源-环境系统建模及优化路径研究—以京津冀为例” 2013.01-2016.12 国家自然科学基金项目“经济物理领域中的金融时间序列回程间隙与波动相关性的预测系统、随机模型和统计分析” 2012.01-2012.12 中央高校基本科研业务项目“云计算环境下的认证安全研究”

近期论文

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代表性著作 第一作者与通讯作者论文： [1] Hongli Niu, Weiqing Wang, Junhuan Zhang, Recurrence duration statistics and time-dependent intrinsic correlation analysis of trading volumes: A study of Chinese stock indices, Physica A 514 (2019) 838-854. [2] Hongli Niu，Jun Wang, Return volatility duration analysis of NYMEX energy futures and spot, Energy 140 (2017) 837-849. (SCI期刊) [3] Hongli Niu, Jun Wang, Quantifying complexity of financial short-term time series by composite multiscale entropy measure, Commun. Nonlinear Sci. Numer. Simulat. 22 (2015) 375-382. (SCI期刊) [4]Hongli Niu, Jun Wang, Multifractal and Recurrence Behaviors of Continuum Percolation-Based Financial Price Dynamics, Nonlinear Dynamics 83 (2016) 513-528. (SCI期刊) [5] Hongli Niu, Jun Wang, Volatility clustering and long memory of financial time series and financial price model, Digit. Signal Process. 23 (2013) 489–498. (SCI期刊) [6]Hongli Niu, Jun Wang, Financial time series prediction by a random data-time effective RBF neural network, Soft Comput. 18 (2014) 497–508. (SCI期刊) [7] Hongli Niu, Jun Wang, Yunfan Lu, Fluctuation behaviors of financial return volatility duration, Phys. A 448 （2016）30-40. (SCI期刊) [8] Hongli Niu, Jun Wang, Complex dynamic behaviors of oriented percolation-based financial time series and Hang Seng index, Chaos, Solitons & Fractals 52 (2013) 36–44. (SCI期刊) [9] Hongli Niu, Jun Wang, Entropy and Recurrence Measures of a Financial Dynamic System by an Interacting Voter System, Entropy 27 (2015) 2590-2605. (SCI期刊) [10] Hongli Niu, Jun Wang, Nonlinear analysis on cross correlation of financial time series by continuum percolation system, Int. J. of Bifurcation and Chaos 26 (2016) 1630004. (SCI期刊) [11] Hongli Niu, Jun Wang, Phase and multifractality analyses of random price time series by finite-range interacting biased voter system, Comput. Stat. 29 (2014) 1045-1063. (SCI期刊) [12] Hongli Niu, Jun Wang, Power-law scaling behavior analysis of financial time series model by voter interacting dynamic system, J. Appli. Stat. 40 (2013) 2188–2203. (SCI期刊) [13] Jun Wang, Huopo Pan, Yiduan Wang, Hongli Niu*, Complex System Analysis on Voter Stochastic System and Jump Time Effective Neural Network of Stock Market, Int. J. Comput. Intel. Syst. 8 (2015) 787-795. (SCI期刊) [13] 牛红丽, 王军, 基于选举模型理论研究股市特性, 北京交通大学报 36 (2012) 138-144. 非第一作者论文 [1] Haiyan Mo, Jun Wang, Hongli Niu, Exponent Back Propagation Neural Network Forecasting for Financial Cross-Correlation Relationship, Expert Systems With Applications, 2016, 53: 106116 [2] Yunfan Lu, Jun Wang, Hongli Niu, Nonlinear Multi-Analysis of Agent-Based Financial Market Dynamics by Epidemic System, Chaos 25 (2015) 103103. [3] Yunfan Lu, Jun Wang, Hongli Niu, Agent-based financial dynamics model from stochastic interacting epidemic system and complexity analysis, Phys. Lett. A 379 (2015) 1023–1031. [4] Ge Yang, Jun Wang, Hongli Niu,Complexity multiscale asynchrony measure and behavior for interacting financial dynamics，Physics Letters A 380 (2016) 2931-2942. [5] Di Xiao, Jun Wang, Hongli Niu, Volatility Analysis of Financial Agent-Based Market Dynamics from Stochastic Contact System, Computational Economics 48 (2016) 607-625. [6] Jie Wang, Jun Wang, Wen Fang, Hongli Niu, Financial Time Series Prediction Using Elman Recurrent Random Neural Networks, Comput. Intel. Neuosc. 2016. [7] Shaolin Tian, Jun Wang, Hongli Niu, Optimal Impulse Control Stochastic System with Poisson Process, Journal of Convergence Information Technology 8 (2013) [8] 田绍琳, 王军, 牛红丽, 受控于Poisson过程的脉冲型随机控制问题，哈尔滨工业大学学报 4 (2013). [10] Yiduan Wang, Yao Qin, Hongli Niu, Jun Wang, Analysis and Modelling of Stock Market Relative Fluctuation by Percolation System, J. Inf. Com. Sci. 9 (2012) 771–779.