Chinese Journal of Management Science ›› 2023, Vol. 31 ›› Issue (2): 51-62.doi: 10.16381/j.cnki.issn1003-207x.2020.1136
• Articles • Previous Articles Next Articles
YANG Kun1, WEI Yu2, LI Shou-wei1, HE Jian-min1
Received:
2020-06-14
Revised:
2020-09-23
Online:
2023-02-20
Published:
2023-02-28
Contact:
魏宇
E-mail:weiyusy@126.com
CLC Number:
YANG Kun, WEI Yu, LI Shou-wei, HE Jian-min. Does Geopolitical Risk Drive China’s Crude Oil Futures Market? A Wavelet-based Nonparametric Causality-in-Quantiles Test[J]. Chinese Journal of Management Science, 2023, 31(2): 51-62.
[1]Li Xiafei, Wei Yu. The dependence and risk spillover between crude oil market and China stock market: New evidence from a variational mode decomposition-based copula method[J]. Energy Economics, 2018, 74: 565-581. [2]Ji Qiang, Liu Bingyue, Fan Ying. Risk dependence of CoVaR and structural change between oil prices and exchange rates: A time-varying copula model[J]. Energy Economics, 2019, 77: 80-92. [3]Ji Qiang, Bahloul W, Geng Jiangbo, et al. Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective[J]. Research in International Business and Finance, 2020, 52: 101114. [4]刘映琳, 刘永辉, 鞠卓. 国际原油价格波动对中国商品期货的影响——基于多重相关性结构断点的分析[J]. 中国管理科学, 2019, 27(2): 31-40.Liu Yinglin, Liu Yonghui, Ju Zhuo. The impact of international crude oil price fluctuation on Chinese commodity futures: Based on the correlation structure breakpoint model[J]. Chinese Journal of Management Science, 2019, 27(2): 31-40. [5]Liu Zhenhua, Ding Zhihua, Zhai Pengxiang, et al. Revisiting the integration of China into the world crude oil market: The role of structural breaks[J]. Frontiers in Energy Research, 2019, 7: 1-17. [6]Yang Jian, Zhou Yinggang. Return and volatility transmission between China’s and international crude oil futures markets: A first look[J]. Journal of Futures Markets, 2020, 40(6): 860-884. [7]张礼卿. 地缘政治风险加大, 国际原油价格大起大落[J]. 国际金融研究, 2019(1): 11.Zhang Liqing. The international crude oil price fluctuates wildly as geopolitical risk increases[J]. Studies of International Finance, 2019(1): 11. [8]Cunado J, Gupta R, Lau C K M, et al. Time-varying impact of geopolitical risks on oil prices[J]. Defence and Peace Economics, 2019: 1-15. [9]Liu Jing, Ma Feng, Tang Yingkai, et al. Geopolitical risk and oil volatility: a new insight[J]. Energy Economics, 2019, 84: 104548. [10]Park C, Park S. Rare disaster risk and exchange rates: An empirical investigation of South Korean exchange rates under tension between the two Koreas[J]. Finance Research Letters, 2019: 101314. [11]Gozgor G, Lau C K M, Sheng X, et al. The role of uncertainty measures on the returns of gold[J]. Economics Letters, 2019, 185: 108680. [12]Aysan A F, Demir E, Gozgor G, et al. Effects of the geopolitical risks on Bitcoin returns and volatility[J]. Research in International Business and Finance, 2019, 47: 511-518. [13]Gupta R, Suleman T, Wohar M E. The role of time-varying rare disaster risks in predicting bond returns and volatility[J]. Review of Financial Economics, 2019, 37(3): 327-340. [14]Caldara D, Iacoviello M. Measuring geopolitical risk[J]. FRB International Finance Discussion Paper, 2018, (1222). [15]Antonakakis N, Gupta R, Kollias C, et al. Geopolitical risks and the oil-stock nexus over 1899-2016[J]. Finance Research Letters, 2017, 23: 165-173. [16]Demirer R, Gupta R, Ji Qiang, et al. Geopolitical risks and the predictability of regional oil returns and volatility[J]. OPEC Energy Review, 2019, 43(3): 342-361. [17]Bouoiyour J, Selmi R, Hammoudeh S, et al. What are the categories of geopolitical risks that could drive oil prices higher? Acts or threats?[J]. Energy Economics, 2019, 84: 104523. [18]Plakandaras V, Gupta R, Wong W K. Point and density forecasts of oil returns: The role of geopolitical risks[J]. Resources Policy, 2019, 62: 580-587. [19]Mei Dexiang, Ma Feng, Liao Yin, et al. Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models[J]. Energy Economics, 2020, 86: 104624. [20]Alqahtani A, Taillard M. Global energy and geopolitical risk: Behavior of oil markets[J]. International Journal of Energy Sector Management, 2019, 14(2): 358-371. [21]Aloui C, Hamida H B. Oil-stock Nexus in an Oil-rich country: does geopolitical risk matter in terms of investment horizons?[J]. Defence and Peace Economics, 2019: 1-21. [22]Li Boying, Chang Chunping, Chu Yin, et al. Oil prices and geopolitical risks: what implications are offered via multi-domain investigations?[J]. Energy & Environment, 2020, 31(3): 492-516. [23]王鹏, 魏宇. 经典金融理论的困境与金融物理学研究的兴起[J]. 管理科学学报, 2014, 17(9): 40-55.Wang Peng, Wei Yu. Dilemma of classical financial theory and the rising of econophysics[J]. Journal of Management Sciences in China, 2014, 17(9): 40-55. [24]杨子晖, 陈里璇, 陈雨恬. 经济政策不确定性与系统性金融风险的跨市场传染——基于非线性网络关联的研究[J]. 经济研究, 2020, 55(1): 65-81.Yang Zihui, Chen Lixuan, Chen Yutian. Cross-market contagion of economic policy uncertainty and systemic financial risk: A nonlinear network connectedness analysis[J]. Economic Research Journal, 2020, 55(1): 65-81. [25]张大永, 姬强. 中国原油期货动态风险溢出研究[J]. 中国管理科学, 2018, 26(11): 42-49.Zhang Dayong, Ji Qiang. Studies on the dynamic risk spillovers for China’s crude oil futures[J]. Chinese Journal of Management Science, 2018, 26(11): 42-49. [26]宫锡强. 财政教育支出对城乡居民收入差距的影响研究——基于十分位点的分层省级数据分析[J]. 云南财经大学学报, 2020, 36(4): 64-71.Gong Xiqiang. Research on the influence of fiscal education expenditure on urban-rural income gap: Stratified provincial data analysis based on decile score[J]. Journal of Yunnan University of Finance and Economics, 2020, 36(4): 64-71. [27]赵秋成, 马洪旭. 靠“关系”还是靠“学历”?——私营企业员工薪酬中的亲属关联效应和文凭效应研究[J]. 云南财经大学学报, 2020, 36(4): 101-112.Zhao Qiucheng, Ma Hongxu. Depending on “guanxi” or on “education”? A study on the effect of kinship and diploma in the compensation of employees in private enterprises[J]. Journal of Yunnan University of Finance and Economics, 2020, 36(4): 101-112. [28]Nishiyama Y, Hitomi K, Kawasaki Y, et al. A consistent nonparametric test for nonlinear causality: specification in time series regression[J]. Journal of Econometrics, 2011, 165(1): 112-127. [29]Jeong K, Hrdle W K, Song S. A consistent nonparametric test for causality in quantile[J]. Econometric Theory, 2012, 28(4): 861-887. [30]Balcilar M, Gupta R, Kyei C, et al. Does economic policy uncertainty predict exchange rate returns and volatility? Evidence from a nonparametric causality-in-quantiles test[J]. Open Economies Review, 2016, 27(2): 229-250. [31]Balcilar M, Bekiros S, Gupta R. The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method[J]. Empirical Economics, 2017, 53(3): 879-889. [32]Das D, Kumar S B, Tiwari A K, et al. On the relationship of gold, crude oil, stocks with financial stress: a causality-in-quantiles approach[J]. Finance Research Letters, 2018, 27: 169-174. [33]Demirer R, Gupta R, Suleman T, et al. Time-varying rare disaster risks, oil returns and volatility[J]. Energy Economics, 2018, 75: 239-248. [34]Jena S K, Tiwari A K, Hammoudeh S, et al. Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests[J]. Energy Economics, 2019, 78: 615-628. [35]Jiang Yonghong, Feng Qidi, Mo Bin, et al. Visiting the effects of oil price shocks on exchange rates: Quantile-on-quantile and causality-in-quantiles approaches[J]. The North American Journal of Economics and Finance, 2020, 52: 101161. [36]Brandt M W, Gao L. Macro fundamentals or geopolitical events? A textual analysis of news events for crude oil[J]. Journal of Empirical Finance, 2019, 51: 64-94. [37]王书平, 朱艳云. 基于多尺度分析的小麦价格预测研究[J]. 中国管理科学, 2016, 24(5): 85-91.Wang Shuping, Zhu Yanyun. Forecasting of wheat price based on multi-scale analysis[J]. Chinese Journal of Management Science, 2016, 24(5): 85-91. [38]黄书培, 安海忠, 高湘昀, 等. 供给与需求驱动型原油价格变动对股票市场的多时间尺度影响研究[J]. 中国管理科学, 2018, 26(11): 62-73.Huang Shupei, An Haizhong, Gao Xiangyun, et al. Multiscale impacts of oil price fluctuations driven by the demand and supply on the stock market[J]. Chinese Journal of Management Science, 2018, 26(11): 62-73. [39]Wang Gangjin, Xie Chi, Chen Shou. Multiscale correlation networks analysis of the US stock market: a wavelet analysis[J]. Journal of Economic Interaction and Coordination, 2017, 12(3): 561-594. [40]Chen Xiuwen, Sun Xiaolei, Wang Jun. Dynamic spillover effect between oil prices and economic policy uncertainty in BRIC countries: a wavelet-based approach[J]. Emerging Markets Finance and Trade, 2019, 55(12): 2703-2717. [41]Dai Xingyu, Wang Qunwei, Zha Donglan, et al. Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: a wavelet-based vine-copula approach[J]. Energy Economics, 2020, 88: 104774. [42]Liu Chang, Li Jianping, Sun Xiaolei, et al. Multi-scale interactions between Turkish lira exchange rates and sovereign CDS in Europe and Asia[J]. Applied Economics Letters, 2020: 1-9. [43]胡亚楠. 短期资本流动与宏观经济波动[J]. 云南财经大学学报, 2019(8): 24-33.Hu Yanan. Short-term capital flow and macroeconomic fluctuation[J]. Journal of Yunnan University of Finance and Economics, 2019(8): 24-33. [44]淳伟德, 陈王, 潘攀. 典型事实约束下的上海燃油期货市场动态VaR测度研究[J]. 中国管理科学, 2013, 21(2): 24-31.Chun Weide, Chen Wang, Pan Pan. A study on dynamic VaR predicting models for oil futures market of Shanghai[J]. Chinese Journal of Management Science, 2013, 21(2): 24-31. [45]隋新, 何建敏, 李亮. 时变视角下基于MODWT的沪深300指数现货与期货市场间波动溢出效应[J]. 系统工程, 2015, 33(1): 31-38.Sui Xin, He Jianmin, Li Liang. The volatility spillover effects between HS 300 stock index future and spot market based on MODWT from a time-varying perspective[J]. Systems Engineering, 2015, 33(1): 31-38. [46]瞿慧, 程思逸. 考虑成分股联跳与宏观信息发布的沪深300指数已实现波动率模型研究[J]. 中国管理科学, 2017, 24(12): 10-19.Qu Hui, Cheng Siyi. The role of cojumps and macro announcements in forecasting the realized volatility of Chinese CSI 300 index[J]. Chinese Journal of Management Science, 2017, 24(12): 10-19. [47]Barndorff-Nielsen O E, Shephard N. Power and bipower variation with stochastic volatility and jumps[J]. Journal of Financial Econometrics, 2004, 2(1): 1-37. [48]Huang Xin, Tauchen G. The relative contribution of jumps to total price variance[J]. Journal of Financial Econometrics, 2005, 3(4): 456-499. [49]Corsi F, Pirino D, Reno R. Threshold bipower variation and the impact of jumps on volatility forecasting[J]. Journal of Econometrics, 2010, 159(2): 276-288. [50]马锋, 魏宇, 黄登仕. 基于符号收益和跳跃变差的高频波动率模型[J]. 管理科学学报, 2017, 20(10): 31-43.Ma Feng, Wei Yu, Huang Dengshi. Forecasting the realized volatility based on the signed return and signed jump variation[J]. Journal of Management Sciences in China, 2017, 20(10): 31-43. [51]Andrews D W K. Tests for parameter instability and structural change with unknown change point[J]. Econometrica, 1993,61(4): 821-856. [52]Koenker R, Machado J A F. Goodness of fit and related inference processes for quantile regression[J]. Journal of the American Statistical Association, 1999, 94(448): 1296-1310. [53]Chuang Chiachang, Kuan Chungming, Lin Hsinyi. Causality in quantiles and dynamic stock return-volume relations[J]. Journal of Banking & Finance, 2009, 33(7): 1351-1360. [54]Plakandaras V, Gogas P, Papadimitriou T. The effects of geopolitical uncertainty in forecasting financial markets: a machine learning approach[J]. Algorithms, 2019, 12(1): 1. [55]万谍, 杨晓光. 价格跳跃前大中小单的行为特征和信息含量[J]. 管理科学学报, 2019, 22(10): 37-54.Wan Die, Yang Xiaoguang. Behavioral characteristics and informativeness of large, medium and small orders before price jumps[J]. Journal of Management Sciences in China, 2019, 22(10): 37-54. [56]Balcilar M, Bonato M, Demirer R, et al. The effect of investor sentiment on gold market return dynamics: Evidence from a nonparametric causality-in-quantiles approach[J]. Resources Policy, 2017, 51: 77-84. [57]Gkillas K, Gupta R, Lau C K M, et al. Jumps beyond the realms of cricket: India’s performance in One Day Internationals and stock market movements[J]. Journal of Applied Statistics, 2019, 47(6): 1109-1127. |
[1] | Ranran Guo,Wuyi Ye,Xiaoquan Liu,Baiqi Miao. The Tail Dependence Between Commodity Futures Portfolios:Based on qpr-MIDAS Model [J]. Chinese Journal of Management Science, 2024, 32(10): 11-19. |
[2] | Xintao Han,Xiaomin Zhang,Xing Liu. The Optimal Monetary Policy Choice in Cooperation with Macro-Prudential Management: Based on China’s DSGE Analysis [J]. Chinese Journal of Management Science, 2024, 32(10): 1-10. |
[3] | Sicong Cheng,Tianyi Wang. Overnight Information and Option Pricing Model [J]. Chinese Journal of Management Science, 2024, 32(9): 1-10. |
[4] | Xinyu Wu,Haibin Xie,Chaoqun Ma. Economic Policy Uncertainty and Renminbi Exchange Rate Volatility: Evidence from CARR-MIDAS Model [J]. Chinese Journal of Management Science, 2024, 32(8): 1-14. |
[5] | Nan Xie,Haitao He,Yanju Zhou,Zongrun Wang. Research on Supply Chain Financial Decision Based on the Analysis of Central Government Project Subsidy under the Background of Rural Revitalization Subsidy [J]. Chinese Journal of Management Science, 2024, 32(8): 214-229. |
[6] | Xiaojian Yu,Guopeng Liu,Jianlin Liu,Weilin Xiao. Stock Index Prediction Based on LSTM Network and Text Sentiment Analysis [J]. Chinese Journal of Management Science, 2024, 32(8): 25-35. |
[7] | Xuanming Ni,Tiantian Zheng,Huimin Zhao,Kangping Wu. Asset Pricing Based on the Optimal Idiosyncratic Return Factor [J]. Chinese Journal of Management Science, 2024, 32(8): 50-60. |
[8] | Wenhua Yu,Xiangyang Ren,Kun Yang,Yu Wei. Asymmetric Effects of Infectious Diseases-related Uncertainty on the Volatility of Commodity Futures [J]. Chinese Journal of Management Science, 2024, 32(5): 254-264. |
[9] | Yi Cai,Zhenpeng Tang,Junchuang Wu,Xiaoxu Du,Kaijie Chen. Research on the Application of GWO-SVR Algorithm in the Prediction of Reverse Mixed Data in Stock Market and Investment Strategy [J]. Chinese Journal of Management Science, 2024, 32(5): 73-80. |
[10] | Zhongfei Li,Qi Zhou. An Industry Allocation Model Based on BL Model and Complex Network [J]. Chinese Journal of Management Science, 2024, 32(4): 1-13. |
[11] | Xuetong Zhang,Weiguo Zhang,Chao Wang. Tail Risks in Developed and Emerging Markets——Test of Spillover, Contagion and Contagion Determinants [J]. Chinese Journal of Management Science, 2024, 32(4): 14-25. |
[12] | Haiyuan Yin,Wenjuan Kou. Investor Sentiment Based on Naive Bayes Method and Its Impact on Stock Idiosyncratic Risk [J]. Chinese Journal of Management Science, 2024, 32(4): 38-47. |
[13] | Xiaoyan Wang,Shenggang Yang,Kekun Zhang. Ultimate Ownership Structure and Entrusted Loan Behavior of Enterprises [J]. Chinese Journal of Management Science, 2024, 32(4): 48-57. |
[14] | Aizhong Li,Ruoen Ren,Jichang Dong. Graph Network Risk Perception and Sparse Low-rank Portfolio Management Strategy [J]. Chinese Journal of Management Science, 2024, 32(4): 58-65. |
[15] | Xinyu Wu,Xiaoqing Jiang,Xindan Li,Chaoqun Ma. The Pricing of SSE 50 ETF Options with Realized EGARCH-FHS Model [J]. Chinese Journal of Management Science, 2024, 32(3): 105-115. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||
|