乔高秀 副教授

硕士生导师

个人信息Personal Information


教师英文名称:Gaoxiu Qiao

学历:博士研究生毕业

办公地点:西南交通大学数学学院 & 金融大数据研究院 30436

毕业院校:西南财经大学

学科:统计学

所在单位:数学学院

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论文成果

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主要成果列表(标“*”为通讯作者)

   

         Gaoxiu Qiao*, Xuekun Ma, Gongyue Jiang, Lu Wang. Crude oil volatility index forecasting: new evidence based on positive and negative jumps from Chinese stock market. International Review of Economics and Finance, 2024, DOI:10.1016/j.iref.2024.02.053.

        Gaoxiu Qiao*, Gongyue Jiang. VIX futures pricing based on high-frequency VIX: A hybrid approach combining SVR with parametric models. Journal of Futures Markets, 2023,  43(9), 1238-1260.

       Gaoxiu Qiao,Yangli Cao, Feng Ma*, Weiping Li. Liquidity and realized covariance forecasting: a hybrid method with model uncertainty. Empirical Economics, 2023, 64, 437-463.

Gaoxiu Qiao*, Gongyue Jiang, Jiyu Yang. VIX term structure forecasting: New evidence based on the realized semi-variances. International Review of Financial Analysis, 2022, 82, 102199.         

 Gongyue Jiang, Gaoxiu Qiao*, Feng Ma, Lu Wang. Directly pricing VIX futures with observable dynamic jumps based on high-frequency VIX. Journal of Futures Markets, 2022, 42(8), 1518-1548.

Yan Chen, Gaoxiu Qiao*, Feipeng Zhang. Oil price volatility forecasting: Threshold effect from stock market volatility. Technological Forecasting and Social Change, 2022, 180, 121704.

Gaoxiu Qiao*, Xuekun Ma, Gongyue Jiang, Yijun Pan, Synthesized jumps and VIX forecasting: Spillover effects from Chinese stock market. Applied Economics Letters, 2023, DOI: 10.1080/13504851.2023.2205090.

Jikai WangKai Feng, Gaoxiu Qiao*, A Hybrid Deep Learning Model for Bitcoin Price Prediction: Data Decomposition and Feature Selection. Applied Economics, 2023, DOI: 10.1080/00036846.2023.2276093

Wenwen Liu, Yiming Gui, Gaoxiu Qiao*. Dynamics lead-lag relationship of jumps among Chinese stock index and futures market during the Covid-19 epidemic. Research in International Business and Finance, 2022, 61, 101669.

Wenwen Liu, Chang Zhang, Gaoxiu Qiao, Lei Xu*. Impact of network investor sentiment and news arrival on jumps. The North American Journal of Economics and Finance, 2022, 62, 101780. 

Gaoxun Zhang, Gaoxiu Qiao*. Out-of-sample realized volatility forecasting: does the support vector regression compete combination methods. Applied Economics, 2021, 53(19), 2192-2205.

Gaoxiu Qiao, Jiyu Yang, Weiping Li. VIX forecasting based on GARCH-type model with observable dynamic jumps: a new perspective. North American Journal of Economics and Finance, 2020, 53, 101186.

Gaoxiu Qiao*, Yuxin Teng, Yanyan Xu, Lu Wang. The cross-market dynamic effects of liquidity on volatility: evidence from Chinese stock index and futures markets. Applied Economics, 2020, 52(1): 85-99.

Gaoxiu Qiao*, Yuxin Teng, Weiping Li, Wenwen Liu. Improving volatility forecasting based on Chinese volatility index information: Evidence from CSI 300 index and futures markets. North American Journal of Economics and Finance, 2019, 49: 133-151.

Yanyan Xu, Dengshi Huang, Feng Ma*,Gaoxiu Qiao. Liquidity and realized range-based volatility forecasting: Evidence from China.Physica A:Statistical Mechanics and its Applications, 2019, 525, 1102-1113.

Yanyan Xu, Dengshi Huang, Feng Ma*,Gaoxiu Qiao. The heterogeneous impact of liquidity on volatility in Chinese stock index futures market.Physica A:Statistical Mechanics and its Applications, 2019, 517, 73-85.

Gaoxiu Qiao*, Pengfei Zhao, Weiping, Li. Time varying price discovery of the New Third Board market in China: does the market-making system help. Applied Economics, 2019, 51(45): 4902-4919. 

Qiang Liu, Gaoxiu Qiao*.The evolving nature of intraday price discovery in the Chinese CSI 300 index futures market. Empirical Economics, Empirical Economics, 2017, 52(4), 1569-1585.

Weiping Li,Gaoxiu Qiao*. Volatility and returns of the New Third Board market in China.The Journal of Finance and Data Science, 2016, 2, 225-243; (The 29th Australasian Finance and Banking Conference, 2016).

Qiang Liu, Shuxin Guo, Gaoxiu Qiao*. VIX forecasting and variance risk premium: a new GARCH approach. North American Journal of Economics and Finance, 2015(34), 314-322.

Gaoxiu Qiao, Qiang Yao*. Weak convergence of equity derivatives pricing with default risk. Statistics and Probability Letters, 2015(103), 46-56.

苏乐怡,乔高秀*,马学堃,蒋龚月. 股票市场冲击与原油波动率指数预测:基于时变状态转移概率模型的研究. 数学的实践与认识, 录用.

王云润,乔高秀*. 基于集成学习的已实现波动预测与偏度信息含量研究. 重庆理工大学学报(自然科学), 2022, 36(4), 243-253.

曹杨丽,乔高秀*.  流动性视角下股指期货与股市已实现协方差预测:基于窗口平均支持向量回归方法. 数学的实践与认识, 2021, 51(11), 33-46.

康成宇,乔高秀*基于动态规划和Black-Litterman模型混合方法的资产配置. 重庆理工大学学报(自然科学),2021, 35(11): 269-277.

罗君,乔高秀,王璐股灾背景下沪深股市波动率的结构转换特征分析. 统计与决策,2018, (10), 167-170. 

王璐,黄登仕,乔高秀,马元慧. 美国股市会影响金砖国家股市之间的相关性吗——线性和非线性条件Granger 因果检验. 系统工程,2018, 36(5), 13-22.

王璐,黄登仕,乔高秀,陈怡翔. 突变结构下国际石油价格对中国股市影响的局部相关性. 系统工程,2016, (10),17-25.

刘文文,乔高秀市场微观结构下高频交易流动性研究--基于我国商品期货市场的实证研究. 系统工程,2016, (1),17-25. 

乔高秀*,刘强,张茂军沪深300股指期货上市对现货市场连续波动和跳跃波动的影响. 中国管理科学,2014 (10),9-18.

刘文文,乔高秀,我国股指期货市场价格发现功能和波动溢出效应研究:基于VECM-DCC-MVGARCH模型,武汉金融,2014, (8),17-22.

乔高秀*,刘强沪深300股指期货定价偏差影响因素及非线性调整特征. 投资研究,2013 (10),83-97.

乔高秀*,潘席龙跳扩散模型下考虑不同违约回收率的可转债定价. 系统工程,2013 (3),1-7.

乔高秀*,刘强沪深300股指期货与现货市场价格波动与波动溢出效应:基于十五个月高频数据的实证研究. 投资研究,2012 (8),132-144.

李洋,乔高秀沪深300股指期货连续波动与跳跃波动:基于已实现波动率的实证研究. 中国管理科学,2012, (S1),451-458.