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jianping Li

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.

    Cited by:

    1. Sun, Jingyun & Zhao, Panpan & Sun, Shaolong, 2022. "A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting," Resources Policy, Elsevier, vol. 77(C).
    2. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    3. Rui Luo & Jinpei Liu & Piao Wang & Zhifu Tao & Huayou Chen, 2024. "A multisource data‐driven combined forecasting model based on internet search keyword screening method for interval soybean futures price," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 366-390, March.
    4. Lili Pan & Lin Wang & Qianqian Feng, 2022. "A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    5. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    6. Yuyao Feng & Guowen Li & Xiaolei Sun & Jianping Li, 2022. "Identification of tourists’ dynamic risk perception—the situation in Tibet," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    7. Jujie Wang & Zhenzhen Zhuang & Liu Feng, 2022. "Intelligent Optimization Based Multi-Factor Deep Learning Stock Selection Model and Quantitative Trading Strategy," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    8. Wuyue An & Lin Wang & Yu‐Rong Zeng, 2023. "Text‐based soybean futures price forecasting: A two‐stage deep learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 312-330, March.
    9. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    10. Junshu Jiang & Jordan Richards & Raphael Huser & David Bolin, 2024. "The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency," Papers 2408.06661, arXiv.org.
    11. Xiaoqian Zhu & Yinghui Wang & Jianping Li, 2022. "What drives reputational risk? Evidence from textual risk disclosures in financial statements," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    12. Jiang, He & Hu, Weiqiang & Xiao, Ling & Dong, Yao, 2022. "A decomposition ensemble based deep learning approach for crude oil price forecasting," Resources Policy, Elsevier, vol. 78(C).
    13. Wuyue An & Lin Wang & Dongfeng Zhang, 2023. "Comprehensive commodity price forecasting framework using text mining methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1865-1888, November.
    14. Xu Gong & Keqin Guan & Qiyang Chen, 2022. "The role of textual analysis in oil futures price forecasting based on machine learning approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1987-2017, October.
    15. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
    16. Li, Hengyun & Gao, Huicai & Song, Haiyan, 2023. "Tourism forecasting with granular sentiment analysis," Annals of Tourism Research, Elsevier, vol. 103(C).
    17. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.

  2. Yinhong Yao & Jianping Li, 2022. "Operational risk assessment of third-party payment platforms: a case study of China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.

    Cited by:

    1. Huosong Xia & Yangmei Gao & Justin Zuopeng Zhang, 2023. "Understanding the adoption context of China’s digital currency electronic payment," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    2. Ine Zeeland & Jo Pierson, 2024. "Changing the whole game: effects of the COVID-19 pandemic's accelerated digitalization on European bank staff's data protection capabilities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-28, December.

  3. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.

    Cited by:

    1. Liu, Longlong & Zhou, Suyu & Jie, Qian & Du, Pei & Xu, Yan & Wang, Jianzhou, 2024. "A robust time-varying weight combined model for crude oil price forecasting," Energy, Elsevier, vol. 299(C).
    2. Wang, Jujie & Xu, Wenjie & Zhang, Yue & Dong, Jian, 2022. "A novel air quality prediction and early warning system based on combined model of optimal feature extraction and intelligent optimization," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    3. Yang, Dongchuan & Guo, Ju-e & Li, Yanzhao & Sun, Shaolong & Wang, Shouyang, 2023. "Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach," Energy, Elsevier, vol. 263(PA).
    4. Wang, Kai-Hua & Zhao, Yan-Xin & Su, Yun Hsuan & Lobonţ, Oana-Ramona, 2023. "Energy security and CO2 emissions: New evidence from time-varying and quantile-varying aspects," Energy, Elsevier, vol. 273(C).
    5. Zheng, Peijun & Zhou, Heng & Liu, Jiang & Nakanishi, Yosuke, 2023. "Interpretable building energy consumption forecasting using spectral clustering algorithm and temporal fusion transformers architecture," Applied Energy, Elsevier, vol. 349(C).
    6. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).

  4. Chunbing Bao & Jie Wan & Dengsheng Wu & Jianping Li, 2021. "Aggregating risk matrices under a normative framework," Journal of Risk Research, Taylor & Francis Journals, vol. 24(8), pages 999-1015, August.

    Cited by:

    1. Natalia Trusova & Natalia Zakharova & Andrii Lysenko & Inna Kohut, 2022. "Risk-orientated management in the sustainable economic system of united agricultural enterprises," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 347-372.

  5. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).

    Cited by:

    1. Gök, Remzi & Bouri, Elie & Gemici, Eray, 2023. "Volatility spillovers between sovereign CDS and futures markets in various volatility states: Evidence from an emerging economy around the pandemic," Research in International Business and Finance, Elsevier, vol. 66(C).
    2. Huang, Wei-Qiang & Liu, Peipei, 2023. "Cross-market risk spillovers among sovereign CDS, stock, foreign exchange and commodity markets: An interacting network perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).
    3. Lu Yang & Lei Yang & Xue Cui, 2023. "Sovereign default network and currency risk premia," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    4. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    5. Yang, Lu & Hamori, Shigeyuki, 2023. "Modeling the global sovereign credit network under climate change," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. He, Zhipeng & Zhang, Shuguang, 2024. "Risk contagion and diversification among sovereign CDS, stock, foreign exchange and commodity markets: Fresh evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 62(PB).
    7. Reinhold Heinlein & Gabriella D. Legrenzi & Scott M. R. Mahadeo & Gabriella Deborah Legrenzi, 2024. "Exchange Rates and Sovereign Risk: A Nonlinear Approach Based on Local Gaussian Correlations," CESifo Working Paper Series 11019, CESifo.
    8. Liu, Peipei & Huang, Wei-Qiang, 2022. "Modelling international sovereign risk information spillovers: A multilayer network approach," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    9. Ozcan Ceylan, 2023. "Analysis of Dynamic Connectedness among Sovereign CDS Premia," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 9(1), pages 33-47, June.
    10. Baptista Palazzi, Rafael & Van Huellen, Sophie, 2024. "Can Fuel Policies Tame Exchange Rate Volatility? Fuel Policy Legacy in Brazil," 2024 Annual Meeting, July 28-30, New Orleans, LA 343668, Agricultural and Applied Economics Association.
    11. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).

  6. Jianping Li & Xiaoqian Zhu & Dengsheng Wu, 2021. "China’s publications: fewer but better," Nature, Nature, vol. 592(7855), pages 507-507, April.

    Cited by:

    1. Fatimah, Alfariany & Britteon, Philip & Turner, Alex J & Anselmi, Laura & Gillibrand, Stephanie & Wilson, Paul & Sutton, Matt & Lau, Yiu-Shing, 2023. "Evaluating whole system reforms: A structured approach for selecting multiple outcomes," Health Policy, Elsevier, vol. 138(C).

  7. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).

    Cited by:

    1. Hao-Lin Shao & Ying-Hui Shao & Yan-Hong Yang, 2021. "New insights into price drivers of crude oil futures markets: Evidence from quantile ARDL approach," Papers 2110.02693, arXiv.org.
    2. Cai, Yifei & Chang, Hao-Wen & Chang, Tsangyao, 2023. "Evaluating time-varying granger causality between US-China political relation changes and China stock market," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    4. Yahong Jiang & Qunqi Wu & Min Li & Yulei Gu & Jun Yang, 2023. "What Is Affecting the Popularity of New Energy Vehicles? A Systematic Review Based on the Public Perspective," Sustainability, MDPI, vol. 15(18), pages 1-29, September.
    5. Asadi, Mehrad & Balcilar, Mehmet & Sheikh, Umaid A. & Roubaud, David & Ghasemi, Hamid Reza, 2023. "Are there inextricable connections among automobile stocks, crude oil, steel, and the US dollar?," Energy Economics, Elsevier, vol. 128(C).
    6. Wang, Kai-Hua & Su, Chi-Wei & Xiao, Yidong & Liu, Lu, 2022. "Is the oil price a barometer of China's automobile market? From a wavelet-based quantile-on-quantile regression perspective," Energy, Elsevier, vol. 240(C).
    7. Adriana AnaMaria Davidescu & Eduard Mihai Manta & Razvan Gabriel Hapau & Mihaela Gruiescu & Oana Mihaela Vacaru (Boita), 2023. "Exploring the Contagion Effect from Developed to Emerging CEE Financial Markets," Mathematics, MDPI, vol. 11(3), pages 1-50, January.
    8. Ibrahim Mohamed Ali Ali, 2023. "Income inequality, economic growth, and structural changes in Egypt: new insights from quantile cointegration approach," Economic Change and Restructuring, Springer, vol. 56(1), pages 379-407, February.
    9. Özen Ercan & Hodžić Sabina & Yildirim Ahmet Eren, 2022. "The Linkage Between Fiscal Policy and Non-Performing Household Loans in Turkey," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 113-124, December.
    10. Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2022. "The growth of oil futures in China: Evidence of market maturity through global crises," Energy Economics, Elsevier, vol. 114(C).
    11. Gritli, Mohamed Ilyes & Charfi, Fatma Marrakchi, 2023. "The determinants of oil consumption in Tunisia: Fresh evidence from NARDL approach and asymmetric causality test," Energy, Elsevier, vol. 284(C).
    12. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    13. Wang, Kai-Hua & Zhao, Yan-Xin & Su, Yun Hsuan & Lobonţ, Oana-Ramona, 2023. "Energy security and CO2 emissions: New evidence from time-varying and quantile-varying aspects," Energy, Elsevier, vol. 273(C).
    14. Ren, Xiaohang & An, Yaning & Jin, Chenglu, 2023. "The asymmetric effect of geopolitical risk on China's crude oil prices: New evidence from a QARDL approach," Finance Research Letters, Elsevier, vol. 53(C).
    15. Niu, Zibo & Wang, Chenlu & Zhang, Hongwei, 2023. "Forecasting stock market volatility with various geopolitical risks categories: New evidence from machine learning models," International Review of Financial Analysis, Elsevier, vol. 89(C).
    16. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    17. Zhang, Wenwen & Chiu, Yi-Bin, 2023. "Country risks, government subsidies, and Chinese renewable energy firm performance: New evidence from a quantile regression," Energy Economics, Elsevier, vol. 119(C).

  8. Feng, Qianqian & Sun, Xiaolei & Hao, Jun & Li, Jianping, 2021. "Predictability dynamics of multifactor-influenced installed capacity: A perspective of country clustering," Energy, Elsevier, vol. 214(C).

    Cited by:

    1. Wang, Jujie & Xu, Wenjie & Zhang, Yue & Dong, Jian, 2022. "A novel air quality prediction and early warning system based on combined model of optimal feature extraction and intelligent optimization," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    2. Jujie Wang & Zhenzhen Zhuang & Liu Feng, 2022. "Intelligent Optimization Based Multi-Factor Deep Learning Stock Selection Model and Quantitative Trading Strategy," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    3. Li, Yi & Liu, Tianya & Xu, Jinpeng, 2023. "Analyzing the economic, social, and technological determinants of renewable and nonrenewable electricity production in China: Findings from time series models," Energy, Elsevier, vol. 282(C).
    4. Liu, Bingchun & Huo, Xiankai, 2024. "Prediction of Photovoltaic power generation and analyzing of carbon emission reduction capacity in China," Renewable Energy, Elsevier, vol. 222(C).
    5. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
    6. Liu, Ling & Wang, Jujie, 2021. "Super multi-step wind speed forecasting system with training set extension and horizontal–vertical integration neural network," Applied Energy, Elsevier, vol. 292(C).

  9. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).

    Cited by:

    1. Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    2. Xie, Qiwei & Cheng, Lu & Liu, Ranran & Zheng, Xiaolong & Li, Jingyu, 2023. "COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 52(C).
    3. Martin Eling & Kwangmin Jung, 2022. "Heterogeneity in cyber loss severity and its impact on cyber risk measurement," Risk Management, Palgrave Macmillan, vol. 24(4), pages 273-297, December.

  10. Xin Long Xu & Jianping Li & Dengsheng Wu & Xi Zhang, 2021. "The intellectual capital efficiency and corporate sustainable growth nexus: comparison from agriculture, tourism and renewable energy sector," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16038-16056, November.

    Cited by:

    1. Lujing Liu & Jiyue Zhang & Jian Xu & Yiqun Wang, 2022. "Intellectual Capital and Financial Performance of Chinese Manufacturing SMEs: An Analysis from the Perspective of Different Industry Types," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    2. Guangchun Jin & Jian Xu, 2022. "Does Intellectual Capital Affect Financial Leverage of Chinese Agricultural Companies? Exploring the Role of Firm Profitability," Sustainability, MDPI, vol. 14(5), pages 1-14, February.
    3. Jan Polcyn, 2022. "Determining Value Added Intellectual Capital (VAIC) Using the TOPSIS-CRITIC Method in Small and Medium-Sized Farms in Selected European Countries," Sustainability, MDPI, vol. 14(6), pages 1-20, March.
    4. Xiyuan Yu & Wenli Liu & Lingli Qing & Di Zhang, 2023. "Improving Farm Cooperatives’ Performance and Sustainability: A Study of Agricultural Managers’ Competencies Based on the Grounded Theory and the fsQCA Methods," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    5. Dongmei Shi & Lili Ren & Hongyu Li & Haizhen Zhang & Rufei Zhang, 2023. "Analysis of the Spatial Differentiation and Promotion Potential for Agricultural Eco-Efficiency—Evidence of Pollution’s Strong Disposability," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    6. Md. Sohel Rana & Syed Zabid Hossain, 2023. "Intellectual Capital, Firm Performance, and Sustainable Growth: A Study on DSE-Listed Nonfinancial Companies in Bangladesh," Sustainability, MDPI, vol. 15(9), pages 1-23, April.
    7. Jinsong Zhang & Yiding Wang, 2022. "How to Improve the Corporate Sustainable Development?—The Importance of the Intellectual Capital and the Role of the Investor Confidence," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    8. Behnam Pourahmadi & Joanna Kalkowska, 2022. "Characterizing the Relationship between Growth and Development in the Context of Strategic Management via Systems Thinking: A Systematic Literature Review," Sustainability, MDPI, vol. 14(9), pages 1-20, May.
    9. Ahmed Jinjiri Bala & Aminu Hassan & Muhammad Liman Muhammad, 2024. "Do board characteristics matter in the relationship between intellectual capital efficiency and firm value? Evidence from the Nigerian oil and gas downstream sector," Future Business Journal, Springer, vol. 10(1), pages 1-24, December.
    10. Maria-Isabel Sanchez-Segura & Roxana González-Cruz & Fuensanta Medina-Dominguez & German-Lenin Dugarte-Peña, 2022. "Valuable Business Knowledge Asset Discovery by Processing Unstructured Data," Sustainability, MDPI, vol. 14(20), pages 1-24, October.

  11. Suo, Weilan & Wang, Lin & Li, Jianping, 2021. "Probabilistic risk assessment for interdependent critical infrastructures: A scenario-driven dynamic stochastic model," Reliability Engineering and System Safety, Elsevier, vol. 214(C).

    Cited by:

    1. Naseh Moghanlou, Lida & Di Maio, Francesco & Zio, Enrico, 2024. "Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    2. Bellè, Andrea & Zeng, Zhiguo & Duval, Carole & Sango, Marc & Barros, Anne, 2022. "Modeling and vulnerability analysis of interdependent railway and power networks: Application to British test systems," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Rose, Rodrigo L. & Puranik, Tejas G. & Mavris, Dimitri N. & Rao, Arjun H., 2022. "Application of structural topic modeling to aviation safety data," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    4. Vargas, Paola & Tien, Iris, 2023. "Impacts of 5G on cyber-physical risks for interdependent connected smart critical infrastructure systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    5. Caetano, Henrique O. & N., Luiz Desuó & Fogliatto, Matheus S.S. & Maciel, Carlos D., 2024. "Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    6. Lin Wang & Yuping Xing, 2022. "Risk Assessment of a Coupled Natural Gas and Electricity Market Considering Dual Interactions: A System Dynamics Model," Energies, MDPI, vol. 16(1), pages 1-18, December.
    7. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    8. Feng, Jian Rui & Yu, Guanghui & Zhao, Mengke & Zhang, Jiaqing & Lu, Shouxiang, 2022. "Dynamic risk assessment framework for industrial systems based on accidents chain theory: The case study of fire and explosion risk of UHV converter transformer," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    9. Yibo Dong & Jin Liu & Jiaqi Ren & Zhe Li & Weili Li, 2023. "Protecting Infrastructure Networks: Solving the Stackelberg Game with Interval-Valued Intuitionistic Fuzzy Number Payoffs," Mathematics, MDPI, vol. 11(24), pages 1-18, December.
    10. Lilli, Giordano & Sanavia, Matteo & Oboe, Roberto & Vianello, Chiara & Manzolaro, Mattia & De Ruvo, Pasquale Luca & Andrighetto, Alberto, 2024. "A semi-quantitative risk assessment of remote handling operations on the SPES Front-End based on HAZOP-LOPA," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    11. Jayaraman, Deepan & Ramu, Palaniappan, 2023. "L-moments and Bayesian inference for probabilistic risk assessment with scarce samples that include extremes," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    12. Å arÅ«nienÄ—, Inga & MartiÅ¡auskas, Linas & KrikÅ¡tolaitis, RiÄ ardas & Augutis, Juozas & Setola, Roberto, 2024. "Risk assessment of critical infrastructures: A methodology based on criticality of infrastructure elements," Reliability Engineering and System Safety, Elsevier, vol. 243(C).

  12. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).

    Cited by:

    1. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. Khalfaoui, Rabeh & Baumöhl, Eduard & Sarwar, Suleman & Výrost, Tomáš, 2021. "Connectedness between energy and nonenergy commodity markets: Evidence from quantile coherency networks," Resources Policy, Elsevier, vol. 74(C).
    3. Bouri, Elie & Lei, Xiaojie & Xu, Yahua & Zhang, Hongwei, 2023. "Connectedness in implied higher-order moments of precious metals and energy markets," Energy, Elsevier, vol. 263(PB).
    4. Zheng, Chengli & Su, Kuangxi & Yao, Yinhong, 2021. "Hedging futures performance with denoising and noise-assisted strategies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    5. Wang, Xiaoxuan & Gao, Xiangyun & Wu, Tao & Sun, Xiaotian, 2022. "Dynamic multiscale analysis of causality among mining stock prices," Resources Policy, Elsevier, vol. 77(C).
    6. Lin, Guancen & Lin, Aijing & Mi, Yujia & Gu, Danlei, 2023. "Measurement of information transfer based on phase increment transfer entropy," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    7. Agyei, Samuel Kwaku & Umar, Zaghum & Bossman, Ahmed & Teplova, Tamara, 2023. "Dynamic connectedness between global commodity sectors, news sentiment, and sub-Saharan African equities," Emerging Markets Review, Elsevier, vol. 56(C).
    8. Dhifaoui, Zouhaier & Khalfaoui, Rabeh & Abedin, Mohammad Zoynul & Shi, Baofeng, 2022. "Quantifying information transfer among clean energy, carbon, oil, and precious metals: A novel transfer entropy-based approach," Finance Research Letters, Elsevier, vol. 49(C).
    9. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.

  13. Liu, Mingxi & Li, Guowen & Li, Jianping & Zhu, Xiaoqian & Yao, Yinhong, 2021. "Forecasting the price of Bitcoin using deep learning," Finance Research Letters, Elsevier, vol. 40(C).

    Cited by:

    1. Bouteska, Ahmed & Abedin, Mohammad Zoynul & Hajek, Petr & Yuan, Kunpeng, 2024. "Cryptocurrency price forecasting – A comparative analysis of ensemble learning and deep learning methods," International Review of Financial Analysis, Elsevier, vol. 92(C).
    2. Lili Pan & Lin Wang & Qianqian Feng, 2022. "A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    3. Chenlu Dang & Fan Wang & Zimo Yang & Hongxia Zhang & Yufeng Qian, 2022. "RETRACTED ARTICLE: Evaluating and forecasting the risks of small to medium-sized enterprises in the supply chain finance market using blockchain technology and deep learning model," Operations Management Research, Springer, vol. 15(3), pages 662-675, December.
    4. Samuka Mohanty & Rajashree Dash, 2022. "Neural Network-Based Bitcoin Pricing Using a New Mutated Climb Monkey Algorithm with TOPSIS Analysis for Sustainable Development," Mathematics, MDPI, vol. 10(22), pages 1-23, November.
    5. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    6. Naseh Majidi & Mahdi Shamsi & Farokh Marvasti, 2022. "Algorithmic Trading Using Continuous Action Space Deep Reinforcement Learning," Papers 2210.03469, arXiv.org.
    7. Kui Wang & Jie Wan & Gang Li & Hao Sun, 2022. "A Hybrid Algorithm-Level Ensemble Model for Imbalanced Credit Default Prediction in the Energy Industry," Energies, MDPI, vol. 15(14), pages 1-18, July.
    8. Goodell, John W. & Ben Jabeur, Sami & Saâdaoui, Foued & Nasir, Muhammad Ali, 2023. "Explainable artificial intelligence modeling to forecast bitcoin prices," International Review of Financial Analysis, Elsevier, vol. 88(C).
    9. Liu, Qingfu & Tao, Zhenyi & Tse, Yiuman & Wang, Chuanjie, 2022. "Stock market prediction with deep learning: The case of China," Finance Research Letters, Elsevier, vol. 46(PA).
    10. Jinghua Wang & Geoffrey M. Ngene & Yan Shi & Ann Nduati Mungai, 2023. "An Investigation of the Predictability of Uncertainty Indices on Bitcoin Returns," JRFM, MDPI, vol. 16(10), pages 1-12, October.
    11. Hajek, Petr & Hikkerova, Lubica & Sahut, Jean-Michel, 2023. "How well do investor sentiment and ensemble learning predict Bitcoin prices?," Research in International Business and Finance, Elsevier, vol. 64(C).
    12. Wei Liu & Yoshihisa Suzuki & Shuyi Du, 2024. "Forecasting the Stock Price of Listed Innovative SMEs Using Machine Learning Methods Based on Bayesian optimization: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 2035-2068, May.
    13. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    14. Liu, Yujun & Li, Zhongfei & Nekhili, Ramzi & Sultan, Jahangir, 2023. "Forecasting cryptocurrency returns with machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
    15. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
    16. Samuka Mohanty & Rajashree Dash, 2023. "A New Dual Normalization for Enhancing the Bitcoin Pricing Capability of an Optimized Low Complexity Neural Net with TOPSIS Evaluation," Mathematics, MDPI, vol. 11(5), pages 1-28, February.

  14. Yao, Yinhong & Li, Jianping & Sun, Xiaolei, 2021. "Measuring the risk of Chinese Fintech industry: evidence from the stock index," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. Yao, Yinhong & Li, Jingyu & Chen, Wei, 2024. "Multiscale extreme risk spillovers among the Chinese mainland, Hong Kong, and London stock markets: Comparing the impacts of three Stock Connect programs," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1217-1233.
    2. HOROBEȚ Alexandra & MNOHOGHITNEI Irina & BELAȘCU Lucian & CROITORU Ionuț Marius, 2023. "Esg Reporting And Capital Market Investors: Insights From The Global Technology And Fintech Industries," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 18(2), pages 178-195, August.
    3. Xin Li & Xiujuan Tian, 2022. "Research on SMEs’ Reputation Mechanism and Default Risk Based on Investors’ Financial Participation," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
    4. Choudhary, Priya & Thenmozhi, M., 2024. "Fintech and financial sector: ADO analysis and future research agenda," International Review of Financial Analysis, Elsevier, vol. 93(C).
    5. Yinhong Yao & Jianping Li, 2022. "Operational risk assessment of third-party payment platforms: a case study of China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
    6. Marcelo Brutti Righi & Fernanda Maria Muller & Marlon Ruoso Moresco, 2022. "A risk measurement approach from risk-averse stochastic optimization of score functions," Papers 2208.14809, arXiv.org, revised May 2023.

  15. Xiaolei Sun & Qianqian Feng & Jianping Li, 2021. "Understanding country risk assessment: a historical review," Applied Economics, Taylor & Francis Journals, vol. 53(37), pages 4329-4341, August.

    Cited by:

    1. Jeremy K. Nguyen & Adam Karg & Abbas Valadkhani & Heath McDonald, 2022. "Predicting individual event attendance with machine learning: a ‘step-forward’ approach," Applied Economics, Taylor & Francis Journals, vol. 54(27), pages 3138-3153, June.
    2. Alin Opreana & Simona Vinerean & Diana Marieta Mihaiu & Liliana Barbu & Radu-Alexandru Șerban, 2023. "Fuzzy Analytic Network Process with Principal Component Analysis to Establish a Bank Performance Model under the Assumption of Country Risk," Mathematics, MDPI, vol. 11(14), pages 1-38, July.

  16. Chang Liu & Jianping Li & Xiaolei Sun & Jianming Chen, 2021. "Multi-scale interactions between Turkish lira exchange rates and sovereign CDS in Europe and Asia," Applied Economics Letters, Taylor & Francis Journals, vol. 28(7), pages 599-607, April.

    Cited by:

    1. Huang, Wei-Qiang & Liu, Peipei, 2023. "Cross-market risk spillovers among sovereign CDS, stock, foreign exchange and commodity markets: An interacting network perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).

  17. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.

    Cited by:

    1. Alberto Baccini & Cristina Re, 2023. "Who are the gatekeepers of economics? Geographic diversity, gender composition, and interlocking editorship of journal boards," Papers 2304.04242, arXiv.org, revised Jan 2024.
    2. Basile, Vincenzo & Sorooshian, Shahryar & Pizzichini, Lucia, 2024. "A scientometrics-based journal Management framework: A strategic move," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    3. Shuo Xu & Mengjia An & Xin An, 2021. "Do scientific publications by editorial board members have shorter publication delays and then higher influence?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6697-6713, August.

  18. Hao, Jun & Li, Jianping & Wu, Dengsheng & Sun, Xiaolei, 2020. "Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model," International Journal of Production Economics, Elsevier, vol. 230(C).

    Cited by:

    1. Chen, Linlin & Han, Shuihua & Ye, Zhen & Xia, Senmao, 2023. "The optimisation of the location of front distribution centre: A spatio-temporal joint perspective," International Journal of Production Economics, Elsevier, vol. 263(C).
    2. Zhou, Rui & Bhuiyan, Tanveer Hossain & Medal, Hugh R. & Sherwin, Michael D. & Yang, Dong, 2022. "A stochastic programming model with endogenous uncertainty for selecting supplier development programs to proactively mitigate supplier risk," Omega, Elsevier, vol. 107(C).
    3. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).

  19. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).

    Cited by:

    1. Huang, Wei-Qiang & Liu, Peipei, 2023. "Cross-market risk spillovers among sovereign CDS, stock, foreign exchange and commodity markets: An interacting network perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    3. Bondatti, Massimiliano & Rillo, Giovanni, 2022. "Commodity tail-risk and exchange rates," Finance Research Letters, Elsevier, vol. 47(PA).
    4. He, Zhipeng & Zhang, Shuguang, 2024. "Risk contagion and diversification among sovereign CDS, stock, foreign exchange and commodity markets: Fresh evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 62(PB).
    5. Yang, Lu, 2023. "Oil price bubbles: The role of network centrality on idiosyncratic sovereign risk," Resources Policy, Elsevier, vol. 82(C).
    6. Yihong Ma & Simon Cottrell & Sarath Delpachitra & Xiao Yu & Ping Jiang & Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, , vol. 44(5), pages 277-300, September.
    7. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2023. "Systemwide directional connectedness from Crude Oil to sovereign credit risk," Journal of Commodity Markets, Elsevier, vol. 30(C).
    8. Xie, Qiwei & Cheng, Lu & Liu, Ranran & Zheng, Xiaolong & Li, Jingyu, 2023. "COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 52(C).
    9. Yihong Ma, Simon Cottrell, Sarath Delpachitra, Xiao Yu, Ping Jiang, and Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    10. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    11. Wang, Haiyang, 2023. "Liquidity of corporate bonds and credit spread," Finance Research Letters, Elsevier, vol. 55(PB).
    12. Shuting Liu & Qifa Xu & Cuixia Jiang, 2021. "Systemic risk of China’s commercial banks during financial turmoils in 2010-2020: A MIDAS-QR based CoVaR approach," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1600-1609, October.
    13. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
    14. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    15. Cheuathonghua, Massaporn & de Boyrie, Maria E. & Pavlova, Ivelina & Wongkantarakorn, Jutamas, 2022. "Extreme risk spillovers from commodity indexes to sovereign CDS spreads of commodity dependent countries: A VAR quantile analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).

  20. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.

    Cited by:

    1. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    2. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    3. Han, Chen & Wu, Chengliang & Wei, Lu, 2023. "The impact of the disclosure characteristics of the application material on the successful listing of companies on China’s Science and Technology Innovation Board," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    4. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    5. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    6. Liu, Mingxi & Li, Guowen & Li, Jianping & Zhu, Xiaoqian & Yao, Yinhong, 2021. "Forecasting the price of Bitcoin using deep learning," Finance Research Letters, Elsevier, vol. 40(C).
    7. Uddin, Gazi Salah & Luo, Tianqi & Yahya, Muhammad & Jayasekera, Ranadeva & Rahman, Md Lutfur & Okhrin, Yarema, 2023. "Risk network of global energy markets," Energy Economics, Elsevier, vol. 125(C).
    8. Li, Jing & Li, Nan & Xia, Tongshui & Guo, Jinjin, 2023. "Textual analysis and detection of financial fraud: Evidence from Chinese manufacturing firms," Economic Modelling, Elsevier, vol. 126(C).
    9. Senave, Elseline & Jans, Mieke J. & Srivastava, Rajendra P., 2023. "The application of text mining in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).

  21. Jianping Li & Guowen Li & Xiaoqian Zhu & Yanzhen Yao, 2020. "Identifying the influential factors of commodity futures prices through a new text mining approach," Quantitative Finance, Taylor & Francis Journals, vol. 20(12), pages 1967-1981, December.

    Cited by:

    1. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    2. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    3. Qinkai Chen, 2021. "Stock Movement Prediction with Financial News using Contextualized Embedding from BERT," Papers 2107.08721, arXiv.org.

  22. Sun, Xiaolei & Chen, Xiuwen & Wang, Jun & Li, Jianping, 2020. "Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

    Cited by:

    1. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    2. Yingce Yang & Junjie Guo & Ruihong He, 2023. "The Asymmetric Impact of the Oil Price and Disaggregate Shocks on Economic Policy Uncertainty: Evidence From China," SAGE Open, , vol. 13(2), pages 21582440231, June.
    3. Ouyang, Zisheng & Zhou, Xuewei & Wang, Gang-jin & Liu, Shuwen & Lu, Min, 2024. "Multilayer networks in the frequency domain: Measuring volatility connectedness among Chinese financial institutions," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 909-928.
    4. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    5. Yuan, Di & Li, Sufang & Li, Rong & Zhang, Feipeng, 2022. "Economic policy uncertainty, oil and stock markets in BRIC: Evidence from quantiles analysis," Energy Economics, Elsevier, vol. 110(C).
    6. Adeniyi Adeosun, Opeoluwa & Anagreh, Suhaib & Tabash, Mosab I. & Adedokun, Adebayo, 2023. "Revisiting the connectedness between oil prices and uncertainty indicators in BRICS countries," Resources Policy, Elsevier, vol. 86(PA).
    7. Liu, Xiaojun & Wang, Yunyuan & Du, Wanying & Ma, Yong, 2022. "Economic policy uncertainty, oil price volatility and stock market returns: Evidence from a nonlinear model," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    8. Tunc, Ahmet & Kocoglu, Mustafa & Aslan, Alper, 2022. "Time-varying characteristics of the simultaneous interactions between economic uncertainty, international oil prices and GDP: A novel approach for Germany," Resources Policy, Elsevier, vol. 77(C).
    9. Chen, Ying & Zhu, Xuehong & Li, Hailing, 2022. "The asymmetric effects of oil price shocks and uncertainty on non-ferrous metal market: Based on quantile regression," Energy, Elsevier, vol. 246(C).
    10. Cao, Yan & Cheng, Sheng & Li, Xinran, 2024. "Co-movements between heterogeneous crude oil and food markets: Does temperature change really matter?," Research in International Business and Finance, Elsevier, vol. 67(PB).
    11. Jiang, Qisheng & Cheng, Sheng, 2021. "How the fiscal and monetary policy uncertainty of China respond to global oil price volatility: A multi-regime-on-scale approach," Resources Policy, Elsevier, vol. 72(C).
    12. Yan Ding & Yue Liu & Pierre Failler, 2022. "The Impact of Uncertainties on Crude Oil Prices: Based on a Quantile-on-Quantile Method," Energies, MDPI, vol. 15(10), pages 1-35, May.
    13. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    14. Nong, Huifu & Liu, Hongxiao, 2023. "Measuring the frequency and quantile connectedness between policy categories and global oil price," Resources Policy, Elsevier, vol. 83(C).
    15. Cao, Yan & Cheng, Sheng & Li, Xinran, 2023. "How economic policy uncertainty affects asymmetric spillovers in food and oil prices: Evidence from wavelet analysis," Resources Policy, Elsevier, vol. 86(PB).
    16. Lien, Donald & Zhang, Jiewen & Yu, Xiaojian, 2022. "Effects of economic policy uncertainty: A regime switching connectedness approach," Economic Modelling, Elsevier, vol. 113(C).
    17. Ma, Qiang & Zhang, Mei & Ali, Sher & Kirikkaleli, Dervis & Khan, Zeeshan, 2021. "Natural resources commodity prices volatility and economic performance: Evidence from China pre and post COVID-19," Resources Policy, Elsevier, vol. 74(C).
    18. Avik Sinha & Arshian Sharif & Arnab Adhikari & Ankit Sharma, 2022. "Dependence structure between Indian financial market and energy commodities: a cross-quantilogram based evidence," Annals of Operations Research, Springer, vol. 313(1), pages 257-287, June.
    19. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    20. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    21. Dutta, Anupam & Bouri, Elie & Saeed, Tareq, 2021. "News-based equity market uncertainty and crude oil volatility," Energy, Elsevier, vol. 222(C).
    22. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    23. Zhang, Feng & Huang, Yongming & Nan, Xiaoli, 2022. "The price volatility of natural resource commodity and global economic policy uncertainty: Evidence from US economy," Resources Policy, Elsevier, vol. 77(C).
    24. Rabeh Khalfaoui & Sakiru Adebola Solarin & Adel Al-Qadasi & Sami Ben Jabeur, 2022. "Dynamic causality interplay from COVID-19 pandemic to oil price, stock market, and economic policy uncertainty: evidence from oil-importing and oil-exporting countries," Post-Print hal-03797569, HAL.
    25. Aimer, Najmi & Lusta, Abdulmula, 2022. "Asymmetric effects of oil shocks on economic policy uncertainty," Energy, Elsevier, vol. 241(C).
    26. Hasan, Md. Bokhtiar & Kabir Hassan, M. & Gider, Zeynullah & Tahsin Rafia, Humaira & Rashid, Mamunur, 2023. "Searching hedging instruments against diverse global risks and uncertainties," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    27. Ouyang, Zisheng & Zhou, Xuewei, 2023. "Multilayer networks in the frequency domain: Measuring extreme risk connectedness of Chinese financial institutions," Research in International Business and Finance, Elsevier, vol. 65(C).
    28. Vamsidhar Ambatipudi & Dilip Kumar, 2022. "Economic Policy Uncertainty Versus Sector Volatility: Evidence from India Using Multi-scale Wavelet Granger Causality Analysis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 184-210, June.
    29. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    30. Liang, Ruibin & Cheng, Sheng & Cao, Yan & Li, Xinran, 2024. "Multi-scale impacts of oil shocks on travel and leisure stocks: A MODWT-Bayesian TVP model with shrinkage approach," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    31. Jiang, Yonghong & Ao, Zhiming & Mo, Bin, 2023. "The risk spillover between China’s economic policy uncertainty and commodity markets: Evidence from frequency spillover and quantile connectedness approaches," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    32. Su, Hui & Zhou, Na & Wu, Qiaosheng & Bi, Zhiwei & Wang, Yuli, 2023. "Investigating price fluctuations in copper futures: Based on EEMD and Markov-switching VAR model," Resources Policy, Elsevier, vol. 82(C).
    33. Song, Yuegang & Zhang, Xiaoyu & Hu, Guoheng, 2023. "Relationships among geopolitical risk, trade policy uncertainty, and crude oil import prices: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    34. Pham Thi, Thuy Dung & Do, Hai Dung & Paramaiah, Ch & Duong, Nam Tien & Pham, Van Kien & Shamansurova, Zilola, 2023. "Sustainable economic performance and natural resource price volatility in the post-covid-pandemic: Evidence using GARCH models in Chinese context," Resources Policy, Elsevier, vol. 86(PA).
    35. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    36. Zhu, Huiming & Chen, Weiyan & Hau, Liya & Chen, Qitong, 2021. "Time-frequency connectedness of crude oil, economic policy uncertainty and Chinese commodity markets: Evidence from rolling window analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    37. Hao, Jun & Feng, Qianqian & Yuan, Jiaxin & Sun, Xiaolei & Li, Jianping, 2022. "A dynamic ensemble learning with multi-objective optimization for oil prices prediction," Resources Policy, Elsevier, vol. 79(C).
    38. Sheng Cheng & Wei Liu & Qisheng Jiang & Yan Cao, 2023. "Multi–Scale Risk Connectedness Between Economic Policy Uncertainty of China and Global Oil Prices in Time–Frequency Domains," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1593-1616, April.
    39. Hau, Liya & Zhu, Huiming & Yu, Yang & Yu, Dongwei, 2022. "Time-frequency coherence and quantile causality between trade policy uncertainty and rare earth prices: Evidence from China and the US," Resources Policy, Elsevier, vol. 75(C).

  23. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).

    Cited by:

    1. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Wan, Siyu & Lee, Yoong Hon & Sarma, Vengadeshvaran J., 2023. "Is Fintech good for green finance? Empirical evidence from listed banks in China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1273-1291.
    3. Chao, Xiangrui & Ran, Qin & Chen, Jia & Li, Tie & Qian, Qian & Ergu, Daji, 2022. "Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions," International Review of Financial Analysis, Elsevier, vol. 80(C).
    4. Parthajit Kayal & Moinak Maiti, 2023. "Examining the asymmetric information flow between pairs of gold, silver, and oil: a transfer entropy approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    5. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    6. Wang, Xiaoting & Hou, Siyuan & Kyaw, Khine & Xue, Xupeng & Liu, Xueqin, 2023. "Exploring the determinants of Fintech Credit: A comprehensive analysis," Economic Modelling, Elsevier, vol. 126(C).
    7. Chi-Ming Ho, 2023. "Research on interaction of innovation spillovers in the AI, Fin-Tech, and IoT industries: considering structural changes accelerated by COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-29, December.
    8. Tan, Changchun & Mo, Lingyu & Wu, Xiaomeng & Zhou, Peng, 2024. "Fintech development and corporate credit risk: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 92(C).
    9. Wang, Yi-Ran & Ma, Chao-Qun & Ren, Yi-Shuai, 2022. "A model for CBDC audits based on blockchain technology: Learning from the DCEP," Research in International Business and Finance, Elsevier, vol. 63(C).
    10. Abakah, Emmanuel Joel Aikins & Nasreen, Samia & Tiwari, Aviral Kumar & Lee, Chien-Chiang, 2023. "U.S. leveraged loan and debt markets: Implications for optimal portfolio and hedging," International Review of Financial Analysis, Elsevier, vol. 87(C).
    11. Kong, Hyeongwoo & Yun, Wonje & Kim, Woo Chang, 2023. "Tracking customer risk aversion," Finance Research Letters, Elsevier, vol. 54(C).
    12. Christian Haddad & Lars Hornuf, 2021. "The Impact of Fintech Startups on Financial Institutions' Performance and Default Risk," CESifo Working Paper Series 9050, CESifo.
    13. Ding, Lei & Xue, Peng, 2023. "Incentives or disincentives? Intellectual property protection and FinTech innovation - Evidence from Chinese cities," Finance Research Letters, Elsevier, vol. 58(PB).
    14. Zhou, Yang & Xie, Chi & Wang, Gang-Jin & Zhu, You & Uddin, Gazi Salah, 2023. "Analysing and forecasting co-movement between innovative and traditional financial assets based on complex network and machine learning," Research in International Business and Finance, Elsevier, vol. 64(C).
    15. Zhao, Yang & Goodell, John W. & Wang, Yong & Abedin, Mohammad Zoynul, 2023. "Fintech, macroprudential policies and bank risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Ahmad Alaassar & Anne-Laure Mention & Tor Helge Aas, 2022. "Ecosystem dynamics: exploring the interplay within fintech entrepreneurial ecosystems," Small Business Economics, Springer, vol. 58(4), pages 2157-2182, April.
    17. Wang, Haijun & Mao, Kunyuan & Wu, Wanting & Luo, Haohan, 2023. "Fintech inputs, non-performing loans risk reduction and bank performance improvement," International Review of Financial Analysis, Elsevier, vol. 90(C).
    18. Chen, Ning & Li, Shaofang & Lu, Shuai, 2023. "The extreme risk connectedness of the global financial system: G7 and BRICS evidence," Journal of Multinational Financial Management, Elsevier, vol. 69(C).
    19. Chaudhry, Sajid M. & Ahmed, Rizwan & Huynh, Toan Luu Duc & Benjasak, Chonlakan, 2022. "Tail risk and systemic risk of finance and technology (FinTech) firms," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Chen, Yuxuan & Chiu, Junmao & Chung, Huimin, 2022. "Givers or Receivers? Return and volatility spillovers between Fintech and the Traditional Financial Industry," Finance Research Letters, Elsevier, vol. 46(PB).
    21. Osoro, Jared & Cheruiyot, Kiplangat Josea, 2023. "Fintech and bank stability in a small-open economy context: The case of Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 69, Kenya Bankers Association (KBA).
    22. Pandey, Dharen Kumar & Hassan, M.Kabir & Kumari, Vineeta & Zaied, Younes Ben & Rai, Varun Kumar, 2024. "Mapping the landscape of FinTech in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 67(PA).
    23. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    24. Choudhary, Priya & Thenmozhi, M., 2024. "Fintech and financial sector: ADO analysis and future research agenda," International Review of Financial Analysis, Elsevier, vol. 93(C).
    25. Rim El Khoury & Nohad Nasrallah & Khaled Hussainey & Rima Assaf, 2023. "Spillover analysis across FinTech, ESG, and renewable energy indices before and during the Russia–Ukraine war: International evidence," Post-Print hal-04564870, HAL.
    26. Bu, Ya & Du, Xin & Li, Hui & Yu, Xinghui & Wang, Yuting, 2023. "Research on the FinTech risk early warning based on the MS-VAR model: An empirical analysis in China," Global Finance Journal, Elsevier, vol. 58(C).
    27. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    28. Jia Guo & Lixuan Chen & Ge Gao & Sijia Guo & Xiuting Li, 2022. "Simulation Model-Based Research on the Technology Support System for China’s Real Estate Financial Risk Management," Sustainability, MDPI, vol. 14(20), pages 1-12, October.
    29. Banerjee, Ameet Kumar & Pradhan, H.K. & Sensoy, Ahmet & Goodell, John W., 2024. "Assessing the US financial sector post three bank collapses: Signals from fintech and financial sector ETFs," International Review of Financial Analysis, Elsevier, vol. 91(C).
    30. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    31. Avani Raval & Rajesh Desai, 2024. "Reviews and directions of FinTech research: bibliometric–content analysis approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1115-1134, September.
    32. Liu, Mingxi & Li, Guowen & Li, Jianping & Zhu, Xiaoqian & Yao, Yinhong, 2021. "Forecasting the price of Bitcoin using deep learning," Finance Research Letters, Elsevier, vol. 40(C).
    33. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
    34. Duan, Kun & Liu, Yang & Yan, Cheng & Huang, Yingying, 2023. "Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis," Energy Economics, Elsevier, vol. 127(PA).
    35. Son, Bumho & Jang, Huisu, 2023. "Economics of blockchain-based securities settlement," Research in International Business and Finance, Elsevier, vol. 64(C).
    36. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022. "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    37. Xiaoqian Zhu & Yinghui Wang & Jianping Li, 2022. "What drives reputational risk? Evidence from textual risk disclosures in financial statements," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    38. Curcio, Domenico & D’Amico, Simona & Gianfrancesco, Igor & Vioto, Davide, 2024. "Understanding the impact of the financial technology revolution on systemic risk: Evidence from US and EU diversified financials," Research in International Business and Finance, Elsevier, vol. 69(C).
    39. Chen, Wen & Wu, Weili & Zhang, Tonghui, 2023. "Fintech development, firm digitalization, and bank loan pricing," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    40. Thair A. Kaddumi & Hafez Baker & Mahmoud Daoud Nassar & Qais A-Kilani, 2023. "Does Financial Technology Adoption Influence Bank’s Financial Performance: The Case of Jordan," JRFM, MDPI, vol. 16(9), pages 1-17, September.
    41. Nan, Shijing & Wang, Minna & You, Wanhai & Guo, Yawei, 2023. "Making text count: Identifying systemic risk spillover channels in the Chinese banking sector using annual reports text," Finance Research Letters, Elsevier, vol. 55(PA).
    42. LIU, Nian & GU, Xinhua & LEI, Chun Kwok, 2022. "The equilibrium effects of digital technology on banking, production, and employment," Finance Research Letters, Elsevier, vol. 49(C).
    43. Cheng, Aijun, 2023. "Evaluating Fintech industry's risks: A preliminary analysis based on CRISP-DM framework," Finance Research Letters, Elsevier, vol. 55(PB).
    44. Debao Dai & Mingzhu Fu & Liang Ye & Wei Shao, 2023. "Can Digital Inclusive Finance Help Small- and Medium-Sized Enterprises Deleverage in China?," Sustainability, MDPI, vol. 15(8), pages 1-19, April.
    45. Chen, Yan & Wang, Gang-Jin & Zhu, You & Xie, Chi & Uddin, Gazi Salah, 2023. "Quantile connectedness and the determinants between FinTech and traditional financial institutions: Evidence from China," Global Finance Journal, Elsevier, vol. 58(C).
    46. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    47. Ruihui Pu & Deimante Teresiene & Ina Pieczulis & Jie Kong & Xiao-Guang Yue, 2021. "The Interaction between Banking Sector and Financial Technology Companies: Qualitative Assessment—A Case of Lithuania," Risks, MDPI, vol. 9(1), pages 1-22, January.
    48. Ebrahim Mohammed Al-Matari & Mahfoudh Hussein Mgammal & Mushari Hamdan Alosaimi & Talal Fawzi Alruwaili & Sultan Al-Bogami, 2022. "Fintech, Board of Directors and Corporate Performance in Saudi Arabia Financial Sector: Empirical Study," Sustainability, MDPI, vol. 14(17), pages 1-23, August.
    49. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    50. Moinak Maiti & Parthajit Kayal, 2022. "Asymmetric Information Flow between Exchange Rate, Oil, and Gold: New Evidence from Transfer Entropy Approach," JRFM, MDPI, vol. 16(1), pages 1-14, December.

  24. Yao, Xiaoyang & Le, Wei & Sun, Xiaolei & Li, Jianping, 2020. "Financial stress dynamics in China: An interconnectedness perspective," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 217-238.

    Cited by:

    1. Liu, Min & Guo, Tongji & Ping, Weiying & Luo, Liangqing, 2023. "Sustainability and stability: Will ESG investment reduce the return and volatility spillover effects across the Chinese financial market?," Energy Economics, Elsevier, vol. 121(C).
    2. Sheikh, Umaid A. & Asadi, Mehrad & Roubaud, David & Hammoudeh, Shawkat, 2024. "Global uncertainties and Australian financial markets: Quantile time-frequency connectedness," International Review of Financial Analysis, Elsevier, vol. 92(C).
    3. Priya Malhotra & Pankaj Sinha, 2024. "Balanced Funds in India Amid COVID-19 Crisis: Spreader of Financial Contagion?," IIM Kozhikode Society & Management Review, , vol. 13(1), pages 7-24, January.
    4. Hao Dong & Yingrong Zheng & Na Li, 2023. "Analysis of Systemic Risk Scenarios and Stabilization Effect of Monetary Policy under the COVID-19 Shock and Pharmaceutical Economic Recession," Sustainability, MDPI, vol. 15(1), pages 1-32, January.
    5. Ghosh, Indranil & Jana, Rabin K. & David, Roubaud & Grebinevych, Oksana & Wanke, Peter & Tan, Yong, 2024. "Modelling financial stress during the COVID-19 pandemic: Prediction and deeper insights," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 680-698.
    6. Gaies, Brahim & Chaâbane, Najeh & Bouzouita, Nesrine, 2024. "Navigating the storm: Time-frequency quantile dependence and non-linear causality between crypto-currency market volatility and financial instability," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 43-70.
    7. Yishuai Tian & Yifan Wu, 2024. "Systemic Financial Risk Forecasting: A Novel Approach with IGSA-RBFNN," Mathematics, MDPI, vol. 12(11), pages 1-31, May.
    8. Mohammed, Kamel Si & Obeid, Hassan & Oueslati, Karim & Kaabia, Olfa, 2023. "Investor sentiments, economic policy uncertainty, US interest rates, and financial assets: Examining their interdependence over time," Finance Research Letters, Elsevier, vol. 57(C).
    9. Xuan Lv & Menggang Li & Yingjie Zhang, 2022. "Financial Stability and Economic Activity in China: Based on Mixed-Frequency Spillover Method," Sustainability, MDPI, vol. 14(19), pages 1-22, October.
    10. Altınkeski, Buket Kırcı & Cevik, Emrah Ismail & Dibooglu, Sel & Kutan, Ali M., 2022. "Financial stress transmission between the U.S. and the Euro Area," Journal of Financial Stability, Elsevier, vol. 60(C).
    11. Qiao, Xingzhi & Zhu, Huiming & Zhang, Zhongqingyang & Mao, Weifang, 2022. "Time-frequency transmission mechanism of EPU, investor sentiment and financial assets: A multiscale TVP-VAR connectedness analysis," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).

  25. Sun, Xiaolei & Wang, Jun & Yao, Yanzhen & Li, Jingyu & Li, Jianping, 2020. "Spillovers among sovereign CDS, stock and commodity markets: A correlation network perspective," International Review of Financial Analysis, Elsevier, vol. 68(C).

    Cited by:

    1. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    2. Liu, Xueyong & Chen, Zhihua & Chen, Zhensong & Yao, Yinhong, 2022. "The time-varying spillover effect of China’s stock market during the COVID-19 pandemic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    3. Wu, Tao & Gao, Xiangyun & An, Sufang & Liu, Siyao, 2021. "Time-varying pattern causality inference in global stock markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Zhang, Hongwei & Jin, Chen & Bouri, Elie & Gao, Wang & Xu, Yahua, 2023. "Realized higher-order moments spillovers between commodity and stock markets: Evidence from China," Journal of Commodity Markets, Elsevier, vol. 30(C).
    5. Huang, Wei-Qiang & Liu, Peipei, 2023. "Cross-market risk spillovers among sovereign CDS, stock, foreign exchange and commodity markets: An interacting network perspective," International Review of Financial Analysis, Elsevier, vol. 90(C).
    6. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    7. Bouri, Elie & Lei, Xiaojie & Jalkh, Naji & Xu, Yahua & Zhang, Hongwei, 2021. "Spillovers in higher moments and jumps across US stock and strategic commodity markets," Resources Policy, Elsevier, vol. 72(C).
    8. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    9. J. Alsubaiei, Bader & Calice, Giovanni & Vivian, Andrew, 2021. "Sovereign CDS and mutual funds: Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    10. Wen, Danyan & Wang, Yudong, 2021. "Volatility linkages between stock and commodity markets revisited: Industry perspective and portfolio implications," Resources Policy, Elsevier, vol. 74(C).
    11. Sawsen Bouker & Faysal Mansouri, 2022. "Sovereign contagion risk measure across financial markets in the eurozone: a bivariate copulas and Markov Regime Switching ARMA based approaches," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(2), pages 615-711, May.
    12. Chuangxia Huang & Xian Zhao & Renli Su & Xiaoguang Yang & Xin Yang, 2022. "Dynamic network topology and market performance: A case of the Chinese stock market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1962-1978, April.
    13. Muzi Chen & Nan Li & Lifen Zheng & Difang Huang & Boyao Wu, 2024. "Dynamic Correlation of Market Connectivity, Risk Spillover and Abnormal Volatility in Stock Price," Papers 2403.19363, arXiv.org.
    14. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    15. Ying Wang & Hongwei Zhang & Wang Gao & Cai Yang, 2023. "Spillover effects from news to travel and leisure stocks during the COVID-19 pandemic: Evidence from the time and frequency domains," Tourism Economics, , vol. 29(2), pages 460-487, March.
    16. Choi, Sun-Yong, 2022. "Dynamic volatility spillovers between industries in the US stock market: Evidence from the COVID-19 pandemic and Black Monday," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    17. Chen, Muzi & Li, Nan & Zheng, Lifen & Huang, Difang & Wu, Boyao, 2022. "Dynamic correlation of market connectivity, risk spillover and abnormal volatility in stock price," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    18. Wang, Peijin & Zhang, Hongwei & Yang, Cai & Guo, Yaoqi, 2021. "Time and frequency dynamics of connectedness and hedging performance in global stock markets: Bitcoin versus conventional hedges," Research in International Business and Finance, Elsevier, vol. 58(C).
    19. Pengxiang Zhai & Fei Wu & Qiang Ji & Duc Khuong Nguyen, 2024. "From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 551-580, January.
    20. Huang, Jianbai & Dong, Xuesong & Zhang, Hongwei & Liu, Jia & Gao, Wang, 2022. "Dynamic and frequency-domain spillover among within and cross-country policy uncertainty, crude oil and gold market: Evidence from US and China," Resources Policy, Elsevier, vol. 78(C).
    21. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    22. Chen, Wang & Ho, Kung-Cheng & Yang, Lu, 2020. "Network structures and idiosyncratic contagion in the European sovereign credit default swap market," International Review of Financial Analysis, Elsevier, vol. 72(C).
    23. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    24. Ballester, Laura & López, Jesúa & Pavía, Jose M., 2023. "European systemic credit risk transmission using Bayesian networks," Research in International Business and Finance, Elsevier, vol. 65(C).
    25. Cynthia Sari DEWI & Florentina KURNIASARI & Helena DEWI & Eko ENDARTO & Nurhuda NIZAR, 2021. "Return Spillover Between The U.S., Japanese, And Indonesian Stock Market During Covid-19," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 11(5), pages 196-207, October.
    26. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    27. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    28. Cheuathonghua, Massaporn & de Boyrie, Maria E. & Pavlova, Ivelina & Wongkantarakorn, Jutamas, 2022. "Extreme risk spillovers from commodity indexes to sovereign CDS spreads of commodity dependent countries: A VAR quantile analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    29. Qian Wang & Yu Wei & Yifeng Zhang & Yuntong Liu, 2023. "Evaluating the Safe-Haven Abilities of Bitcoin and Gold for Crude Oil Market: Evidence During the COVID-19 Pandemic," Evaluation Review, , vol. 47(3), pages 391-432, June.

  26. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).

    Cited by:

    1. Fei Su & Lili Zhai & Yunyan Zhou & Zixi Zhuang & Feifan Wang, 2024. "Risk contagion in financial markets: A systematic review using bibliometric methods," Australian Economic Papers, Wiley Blackwell, vol. 63(1), pages 163-199, March.
    2. Elgammal, Mohammed M. & Ahmed, Walid M.A. & Alshami, Abdullah, 2021. "Price and volatility spillovers between global equity, gold, and energy markets prior to and during the COVID-19 pandemic," Resources Policy, Elsevier, vol. 74(C).
    3. Qi, Haozhi & Wu, Tiantian & Chen, Hao & Lu, Xiuling, 2023. "Time-frequency connectedness and cross-quantile dependence between carbon emission trading and commodity markets: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    4. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    5. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    6. Kumar, Satish & Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Hille, Erik, 2021. "Time-varying dependence structure between oil and agricultural commodity markets: A dependence-switching CoVaR copula approach," Resources Policy, Elsevier, vol. 72(C).
    7. Yuting Gong & Xueqin Wang & Mo Zhu & Ying‐En Ge & Wenming Shi, 2023. "Maximum utility portfolio construction in the forward freight agreement markets: Evidence from a multivariate skewed t copula," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(1), pages 69-89, January.
    8. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    9. Hassan, Aminu & Ibrahim, Masud Usman & Bala, Ahmed Jinjiri, 2024. "Vulnerability of a developing stock market to openness: One-way return and volatility transmissions," International Review of Financial Analysis, Elsevier, vol. 93(C).
    10. Ki-Hong Choi & Seong-Min Yoon, 2020. "Asymmetric Dependence between Oil Prices and Maritime Freight Rates: A Time-Varying Copula Approach," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    11. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    12. Zehri, Chokri, 2021. "Stock market comovements: Evidence from the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
    13. Yao, Yinhong & Li, Jingyu & Chen, Wei, 2024. "Multiscale extreme risk spillovers among the Chinese mainland, Hong Kong, and London stock markets: Comparing the impacts of three Stock Connect programs," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1217-1233.
    14. Luo, Changqing & Liu, Lan & Wang, Da, 2021. "Multiscale financial risk contagion between international stock markets: Evidence from EMD-Copula-CoVaR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    15. Dai, Yun-Shi & Dai, Peng-Fei & Zhou, Wei-Xing, 2023. "Tail dependence structure and extreme risk spillover effects between the international agricultural futures and spot markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    16. Tian, Maoxi & Guo, Fei & Niu, Rong, 2022. "Risk spillover analysis of China’s financial sectors based on a new GARCH copula quantile regression model," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    17. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The asymmetric relationship between Baltic Dry Index and commodity spot prices: evidence from nonparametric causality-in-quantiles test," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 217-237, June.
    18. Ding, Shusheng & Cui, Tianxiang & Zhang, Yongmin, 2022. "Futures volatility forecasting based on big data analytics with incorporating an order imbalance effect," International Review of Financial Analysis, Elsevier, vol. 83(C).
    19. Shanghui Jia & Xinhui Chen & Liyan Han & Jiayu Jin, 2023. "Global climate change and commodity markets: A hedging perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(10), pages 1393-1422, October.
    20. Wang, Ningli & You, Wanhai, 2023. "New insights into the role of global factors in BRICS stock markets: A quantile cointegration approach," Economic Systems, Elsevier, vol. 47(2).
    21. Bai, Xiwen, 2021. "Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach," Energy, Elsevier, vol. 235(C).
    22. Li, Jingyu & Liu, Ranran & Yao, Yanzhen & Xie, Qiwei, 2022. "Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19," Resources Policy, Elsevier, vol. 77(C).
    23. Xuewei Zhou & Zisheng Ouyang & Rangan Gupta & Qiang Ji, 2024. "Time-Varying Multilayer Networks Analysis of Frequency Connectedness in Commodity Futures Markets," Working Papers 202422, University of Pretoria, Department of Economics.
    24. Feng, Yusen & Wang, Gang-Jin & Zhu, You & Xie, Chi, 2023. "Systemic risk spillovers and the determinants in the stock markets of the Belt and Road countries," Emerging Markets Review, Elsevier, vol. 55(C).
    25. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    26. Farid, Saqib & Naeem, Muhammad Abubakr & Paltrinieri, Andrea & Nepal, Rabindra, 2022. "Impact of COVID-19 on the quantile connectedness between energy, metals and agriculture commodities," Energy Economics, Elsevier, vol. 109(C).
    27. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Impacts of COVID-19 outbreak, macroeconomic and financial stress factors on price spillovers among green bond," International Review of Financial Analysis, Elsevier, vol. 81(C).
    28. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    29. Cui, Jinxin & Maghyereh, Aktham, 2023. "Higher-order moment risk connectedness and optimal investment strategies between international oil and commodity futures markets: Insights from the COVID-19 pandemic and Russia-Ukraine conflict," International Review of Financial Analysis, Elsevier, vol. 86(C).
    30. Tian, Maoxi & Alshater, Muneer M. & Yoon, Seong-Min, 2022. "Dynamic risk spillovers from oil to stock markets: Fresh evidence from GARCH copula quantile regression-based CoVaR model," Energy Economics, Elsevier, vol. 115(C).
    31. Yang, Jialin & Ge, Ying-En & Li, Kevin X., 2022. "Measuring volatility spillover effects in dry bulk shipping market," Transport Policy, Elsevier, vol. 125(C), pages 37-47.
    32. Abuzayed, Bana & Al-Fayoumi, Nedal, 2021. "Risk spillover from crude oil prices to GCC stock market returns: New evidence during the COVID-19 outbreak," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    33. Jiang, Kunliang & Ye, Wuyi, 2022. "Does the asymmetric dependence volatility affect risk spillovers between the crude oil market and BRICS stock markets?," Economic Modelling, Elsevier, vol. 117(C).
    34. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    35. Xu, Yingying, 2021. "Risk spillover from energy market uncertainties to the Chinese carbon market," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    36. Yimiao Gu & Zhenxi Chen & Qingyang Gu, 2022. "Determinants and international influences of the Chinese freight market," Empirical Economics, Springer, vol. 62(5), pages 2601-2618, May.
    37. Zhu, Pengfei & Tang, Yong & Wei, Yu & Lu, Tuantuan, 2021. "Multidimensional risk spillovers among crude oil, the US and Chinese stock markets: Evidence during the COVID-19 epidemic," Energy, Elsevier, vol. 231(C).
    38. Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
    39. Shuting Liu & Qifa Xu & Cuixia Jiang, 2021. "Systemic risk of China’s commercial banks during financial turmoils in 2010-2020: A MIDAS-QR based CoVaR approach," Applied Economics Letters, Taylor & Francis Journals, vol. 28(18), pages 1600-1609, October.
    40. Wang, Qunwei & Liu, Mengmeng & Xiao, Ling & Dai, Xingyu & Li, Matthew C. & Wu, Fei, 2022. "Conditional sovereign CDS in market basket risk scenario: A dynamic vine-copula analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    41. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.

  27. Xiuwen Chen & Xiaolei Sun & Jianping Li, 2020. "How does economic policy uncertainty react to oil price shocks? A multi-scale perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 27(3), pages 188-193, February.

    Cited by:

    1. Claudiu Albulescu, 2020. "Do COVID-19 and crude oil prices drive the US economic policy uncertainty?," Papers 2003.07591, arXiv.org.
    2. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    3. Elsayed, Ahmed H. & Gozgor, Giray & Lau, Chi Keung Marco, 2022. "Risk transmissions between bitcoin and traditional financial assets during the COVID-19 era: The role of global uncertainties," International Review of Financial Analysis, Elsevier, vol. 81(C).
    4. Dai, Xingyu & Dai, Peng-Fei & Wang, Qunwei & Ouyang, Zhi-Yi, 2023. "The impact of energy-exporting countries’ EPUs on China’s energy futures investors: Risk preference, investment position and investment horizon," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Aharon, David Y. & Demir, Ender & Lau, Chi Keung Marco & Zaremba, Adam, 2022. "Twitter-Based uncertainty and cryptocurrency returns," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. Wu, Wanshan & Tiwari, Aviral Kumar & Gozgor, Giray & Leping, Huang, 2021. "Does economic policy uncertainty affect cryptocurrency markets? Evidence from Twitter-based uncertainty measures," Research in International Business and Finance, Elsevier, vol. 58(C).
    7. Jiang, Yonghong & Wu, Lanxin & Tian, Gengyu & Nie, He, 2021. "Do cryptocurrencies hedge against EPU and the equity market volatility during COVID-19? – New evidence from quantile coherency analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    8. Bergsli, Lykke Øverland & Lind, Andrea Falk & Molnár, Peter & Polasik, Michał, 2022. "Forecasting volatility of Bitcoin," Research in International Business and Finance, Elsevier, vol. 59(C).
    9. Bai, Lan & Wei, Yu & Wei, Guiwu & Li, Xiafei & Zhang, Songyun, 2021. "Infectious disease pandemic and permanent volatility of international stock markets: A long-term perspective," Finance Research Letters, Elsevier, vol. 40(C).
    10. Çepni, Oğuzhan & Gül, Selçuk & Hacıhasanoğlu, Yavuz Selim & Yılmaz, Muhammed Hasan, 2020. "Global uncertainties and portfolio flow dynamics of the BRICS countries," Research in International Business and Finance, Elsevier, vol. 54(C).
    11. Disli, Mustafa & Nagayev, Ruslan & Salim, Kinan & Rizkiah, Siti K. & Aysan, Ahmet F., 2021. "In search of safe haven assets during COVID-19 pandemic: An empirical analysis of different investor types," Research in International Business and Finance, Elsevier, vol. 58(C).
    12. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2024. "Bitcoin market reactions to large price swings of international stock markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 72-88.
    13. Diniz-Maganini, Natalia & Diniz, Eduardo H. & Rasheed, Abdul A., 2021. "Bitcoin’s price efficiency and safe haven properties during the COVID-19 pandemic: A comparison," Research in International Business and Finance, Elsevier, vol. 58(C).
    14. Jiang, Qisheng & Cheng, Sheng, 2021. "How the fiscal and monetary policy uncertainty of China respond to global oil price volatility: A multi-regime-on-scale approach," Resources Policy, Elsevier, vol. 72(C).
    15. Umar, Muhammad & Shahzad, Fakhar & Ullah, Irfan & Fanghua, Tong, 2023. "A comparative analysis of cryptocurrency returns and economic policy uncertainty pre- and post-Covid-19," Research in International Business and Finance, Elsevier, vol. 65(C).
    16. Syed Faisal Hasssan Bukhari & Waqar Yasir & Christian Espinosa Méndez & Zia Mustafa, 2023. "Sectoral Comparison of Herding During Global Financial Crisis and Covid-19: Comparative Analysis of Shariah Compliant and Conventional Stocks," Journal of Economic Impact, Science Impact Publishers, vol. 5(3), pages 202-210.
    17. Ozili, Peterson K, 2022. "Sources of Economic Policy Uncertainty in Nigeria: Implications for Africa," MPRA Paper 112075, University Library of Munich, Germany.
    18. Qi, Songqiao & Sun, Tianmin, 2024. "Resource curse in OPEC with varied levels of financial regulations and constraints: The role of oil price shocks and digital finance," Resources Policy, Elsevier, vol. 91(C).
    19. Wang, Yilei & Cheng, Sheng & Cao, Yan, 2022. "How does economic policy uncertainty respond to the global oil price fluctuations? Evidence from BRICS countries," Resources Policy, Elsevier, vol. 79(C).
    20. Nguyen, Thanh Pham Thien & Nghiem, Son & Tripe, David, 2021. "Does oil price aggravate the impact of economic policy uncertainty on bank performance in India?," Energy Economics, Elsevier, vol. 104(C).
    21. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg) & Hu, Yang & Oxley, Les, 2024. "Bitcoin forks: What drives the branches?," Research in International Business and Finance, Elsevier, vol. 69(C).
    22. Salim Hamza Ringim & Abdulkareem Alhassan & Hasan Güngör & Festus Victor Bekun, 2022. "Economic Policy Uncertainty and Energy Prices: Empirical Evidence from Multivariate DCC-GARCH Models," Energies, MDPI, vol. 15(10), pages 1-18, May.
    23. Ben Nouir, Jihed & Ben Haj Hamida, Hayet, 2023. "How do economic policy uncertainty and geopolitical risk drive Bitcoin volatility?," Research in International Business and Finance, Elsevier, vol. 64(C).
    24. Ahsan, Tanveer & Al-GAMRH, Bakr & Mirza, Sultan Sikandar, 2022. "Economic policy uncertainty and sustainable financial growth: Does business strategy matter?," Finance Research Letters, Elsevier, vol. 46(PB).
    25. Ngo Thai Hung, 2021. "Directional Spillover Effects Between BRICS Stock Markets and Economic Policy Uncertainty," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 429-448, September.
    26. Mokni, Khaled & Youssef, Manel & Ajmi, Ahdi Noomen, 2022. "COVID-19 pandemic and economic policy uncertainty: The first test on the hedging and safe haven properties of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 60(C).
    27. Ahmad, Shakil, 2021. "Does COVID-19 effects the United States crude oil imports price?," Economic Consultant, Roman I. Ostapenko, vol. 33(1), pages 57-67.
    28. Qamruzzaman, Md & Karim, Salma & Jahan, Ishrat, 2022. "Nexus between economic policy uncertainty, foreign direct investment, government debt and renewable energy consumption in 13 top oil importing nations: Evidence from the symmetric and asymmetric inves," Renewable Energy, Elsevier, vol. 195(C), pages 121-136.
    29. Ruixin Su & Jianguo Du & Fakhar Shahzad & Xingle Long, 2020. "Unveiling the Effect of Mean and Volatility Spillover between the United States Economic Policy Uncertainty and WTI Crude Oil Price," Sustainability, MDPI, vol. 12(16), pages 1-12, August.
    30. Guo, Xiaochun & Lu, Fengbin & Wei, Yunjie, 2021. "Capture the contagion network of bitcoin – Evidence from pre and mid COVID-19," Research in International Business and Finance, Elsevier, vol. 58(C).
    31. Hou, Deshuai & Chan, Kam C. & Dong, Manru & Yao, Qiuge, 2022. "The impact of economic policy uncertainty on a firm’s green behavior: Evidence from China," Research in International Business and Finance, Elsevier, vol. 59(C).
    32. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Financial stress, economic policy uncertainty, and oil price uncertainty," Energy Economics, Elsevier, vol. 104(C).
    33. Mokni, Khaled, 2021. "When, where, and how economic policy uncertainty predicts Bitcoin returns and volatility? A quantiles-based analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 65-73.
    34. He, Huizi & Sun, Mei & Gao, Cuixia & Li, Xiuming, 2021. "Detecting lag linkage effect between economic policy uncertainty and crude oil price: A multi-scale perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    35. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "The differential influence of social media sentiment on cryptocurrency returns and volatility during COVID-19," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 307-317.
    36. Rasool Dehghanzadeh Shahabad & Mehmet Balcilar, 2022. "Modelling the Dynamic Interaction between Economic Policy Uncertainty and Commodity Prices in India: The Dynamic Autoregressive Distributed Lag Approach," Mathematics, MDPI, vol. 10(10), pages 1-21, May.
    37. Ullah, Subhan & Attah-Boakye, Rexford & Adams, Kweku & Zaefarian, Ghasem, 2022. "Assessing the influence of celebrity and government endorsements on bitcoin’s price volatility," Journal of Business Research, Elsevier, vol. 145(C), pages 228-239.
    38. Gholipour, Hassan F. & Tajaddini, Reza & Farzanegan, Mohammad Reza & Yam, Sharon, 2021. "Responses of REITs index and commercial property prices to economic uncertainties: A VAR analysis," Research in International Business and Finance, Elsevier, vol. 58(C).
    39. Umar, Zaghum & Polat, Onur & Choi, Sun-Yong & Teplova, Tamara, 2022. "Dynamic connectedness between non-fungible tokens, decentralized finance, and conventional financial assets in a time-frequency framework," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    40. Liu, Jiatong, 2023. "Time-frequency correlations and extreme spillover effects between carbon markets and NFTs: The roles of EPU and COVID-19," Finance Research Letters, Elsevier, vol. 54(C).
    41. Jang, Soomi & Choi, Heeick & Kim, Hyung Tae (Ted), 2023. "Firm-level political risk and external financing choices," Finance Research Letters, Elsevier, vol. 58(PA).
    42. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Alhomaidi, Asem, 2023. "How do sectoral Islamic equity markets react to geopolitical risk, economic policy uncertainty, and oil price shocks?," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    43. Xie, Qiwei & Liu, Ranran & Qian, Tao & Li, Jingyu, 2021. "Linkages between the international crude oil market and the Chinese stock market: A BEKK-GARCH-AFD approach," Energy Economics, Elsevier, vol. 102(C).
    44. Qiu, Leiju & Li, Tianyu & He, Qing & Zhao, Daxuan, 2021. "Policy uncertainty and overseas property purchases: Evidence from China," Research in International Business and Finance, Elsevier, vol. 58(C).
    45. Shi, Yangyan & Feng, Yu & Zhang, Qi & Shuai, Jing & Niu, Jiangxin, 2023. "Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries," Energy, Elsevier, vol. 262(PA).
    46. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    47. Bas, Tugba & Malki, Issam & Sivaprasad, Sheeja, 2024. "Connectedness between central bank digital currency index, financial stability and digital assets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    48. Alam, Ahmed W. & Farjana, Ashupta & Houston, Reza, 2023. "Firm investment steering through state-level policy uncertainty," Finance Research Letters, Elsevier, vol. 58(PC).
    49. Mokni, Khaled & Ajmi, Ahdi Noomen & Bouri, Elie & Vo, Xuan Vinh, 2020. "Economic policy uncertainty and the Bitcoin-US stock nexus," Journal of Multinational Financial Management, Elsevier, vol. 57.

  28. Li, Jianping & Feng, Yuyao & Li, Guowen & Sun, Xiaolei, 2020. "Tourism companies' risk exposures on text disclosure," Annals of Tourism Research, Elsevier, vol. 84(C).

    Cited by:

    1. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    2. Vu Quang Trinh & Neelu Seetaram & Kiet Tuan Duong & Xuan Vinh Vo, 2023. "Collusive behaviour, risk and performance of tourism firms," Tourism Economics, , vol. 29(8), pages 2103-2128, December.
    3. Alicia Orea-Giner & Laura Fuentes-Moraleda & Teresa Villacé-Molinero & Ana Muñoz-Mazón & Jorge Calero-Sanz, 2022. "Does the Implementation of Robots in Hotels Influence the Overall TripAdvisor Rating? A Text Mining Analysis from the Industry 5.0 Approach," Post-Print hal-04039195, HAL.
    4. Yuyao Feng & Guowen Li & Xiaolei Sun & Jianping Li, 2022. "Identification of tourists’ dynamic risk perception—the situation in Tibet," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    5. Salisu, Afees A. & Akanni, Lateef O. & Vo, Xuan Vinh, 2021. "Volatility spillovers and hedging effectiveness between health and tourism stocks: Empirical evidence from the US," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 150-159.
    6. Mohammad Rashed Hasan Polas & Ratul Kumar Saha & Mosab I. Tabash, 2022. "How does tourist perception lead to tourist hesitation? Empirical evidence from Bangladesh," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3659-3686, March.
    7. Xue, Lan & Leung, Xi Y. & Ma, Shihan (David), 2022. "What makes a good “guest”: Evidence from Airbnb hosts' reviews," Annals of Tourism Research, Elsevier, vol. 95(C).
    8. Dewally, Michaël & Gordon, Rachel, 2022. "Financial impact of partnerships on hospitality firms," Annals of Tourism Research, Elsevier, vol. 95(C).
    9. Xin Long Xu & Jianping Li & Dengsheng Wu & Xi Zhang, 2021. "The intellectual capital efficiency and corporate sustainable growth nexus: comparison from agriculture, tourism and renewable energy sector," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16038-16056, November.
    10. Hadjielias, Elias & Christofi, Michael & Christou, Prokopis & Hadjielia Drotarova, Maria, 2022. "Digitalization, agility, and customer value in tourism," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    11. Fu, Tong & Yang, Yang & Zhang, Hongru & Mao, Zhenxing (Eddie), 2023. "Risk culture as a blessing in tourism development: Long-run effects of epidemic disasters," Annals of Tourism Research, Elsevier, vol. 103(C).
    12. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    13. Xin Long Xu & Chao Sun & Yi Li & Nidi Zhou, 2020. "The Effects of Environmental Management and Debt Financing on Sustainable Financial Growth in the Tourism Industry," SAGE Open, , vol. 10(3), pages 21582440209, August.
    14. Salisu, Afees A. & Vo, Xuan Vinh & Lawal, Adedoyin, 2021. "Hedging oil price risk with gold during COVID-19 pandemic," Resources Policy, Elsevier, vol. 70(C).
    15. Woo, Linda & Mun, Sung Gyun & Seo, Kwanglim, 2024. "Building resilience to crisis through slack resources: A longitudinal analysis of US hotels," Annals of Tourism Research, Elsevier, vol. 106(C).
    16. Abdulsalam Abidemi Sikiru & Afees A. Salisu, 2023. "Hedging against risks associated with travel and tourism stocks during COVID‐19 pandemic: The role of gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1872-1882, April.
    17. Haoke Ding & Yinghua Ren & Wanhai You, 2022. "Does uncertainty granger-causes visitor arrivals? evidence from the MF-VAR model," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4193-4215, December.

  29. Xiuwen Chen & Jianping Li & Xiaolei Sun & Dengsheng Wu, 2019. "Early identification of intellectual structure based on co-word analysis from research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 349-369, October.

    Cited by:

    1. Xiaojun Mai & Fauziah Sheikh Ahmad & Jiayi Xu, 2023. "A Comprehensive Bibliometric Analysis of Live Streaming Commerce: Mapping the Research Landscape," SAGE Open, , vol. 13(4), pages 21582440231, December.
    2. Luis Javier Cabeza-Ramírez & Fernando J. Fuentes-García & Guzmán A. Muñoz-Fernandez, 2021. "Exploring the Emerging Domain of Research on Video Game Live Streaming in Web of Science: State of the Art, Changes and Trends," IJERPH, MDPI, vol. 18(6), pages 1-27, March.
    3. Haoye Sun & Thorsten Teichert, 2024. "Scarcity in today´s consumer markets: scoping the research landscape by author keywords," Management Review Quarterly, Springer, vol. 74(1), pages 93-120, February.
    4. Yang Bai & Hongxiu Li & Yong Liu, 2021. "Visualizing research trends and research theme evolution in E-learning field: 1999–2018," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1389-1414, February.
    5. Jane Cho, 2020. "Intellectual structure evolution of open access research observed through correlation index of keyword centrality," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2617-2635, December.
    6. Mariana-Daniela González-Zamar & Emilio Abad-Segura & Eloy López-Meneses & José Gómez-Galán, 2020. "Managing ICT for Sustainable Education: Research Analysis in the Context of Higher Education," Sustainability, MDPI, vol. 12(19), pages 1-25, October.

  30. Lu Wei & Guowen Li & Xiaoqian Zhu & Jianping Li, 2019. "Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(3), pages 1519-1552, September.

    Cited by:

    1. Blum, Avinoam & Raviv, Alon, 2023. "The effects of the financial crisis and Basel III on banks’ risk disclosure: A textual analysis," Finance Research Letters, Elsevier, vol. 53(C).
    2. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
    3. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    5. Yuyao Feng & Guowen Li & Xiaolei Sun & Jianping Li, 2022. "Identification of tourists’ dynamic risk perception—the situation in Tibet," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    6. Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    7. Qing L. Burke & Terry D. Warfield, 2021. "Bank interest rate risk management and valuation of earnings," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 4287-4337, September.
    8. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    10. Yu Zhao & Huaming Du & Qing Li & Fuzhen Zhuang & Ji Liu & Gang Kou, 2022. "A Comprehensive Survey on Enterprise Financial Risk Analysis from Big Data Perspective," Papers 2211.14997, arXiv.org, revised May 2023.
    11. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
    12. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    13. Liu, Mingxi & Li, Guowen & Li, Jianping & Zhu, Xiaoqian & Yao, Yinhong, 2021. "Forecasting the price of Bitcoin using deep learning," Finance Research Letters, Elsevier, vol. 40(C).
    14. Lu Wei & Chen Han & Yinhong Yao, 2022. "The Bias Analysis of Oil and Gas Companies’ Credit Ratings Based on Textual Risk Disclosures," Energies, MDPI, vol. 15(7), pages 1-12, March.
    15. Xiaoqian Zhu & Yinghui Wang & Jianping Li, 2022. "What drives reputational risk? Evidence from textual risk disclosures in financial statements," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    16. Li, Jianping & Feng, Yuyao & Li, Guowen & Sun, Xiaolei, 2020. "Tourism companies' risk exposures on text disclosure," Annals of Tourism Research, Elsevier, vol. 84(C).
    17. Senave, Elseline & Jans, Mieke J. & Srivastava, Rajendra P., 2023. "The application of text mining in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 50(C).
    18. Jianping Li & Yinhong Yao & Yuanjie Xu & Jingyu Li & Lu Wei & Xiaoqian Zhu, 2019. "Consumer’s risk perception on the Belt and Road countries: evidence from the cross-border e-commerce," Electronic Commerce Research, Springer, vol. 19(4), pages 823-840, December.

  31. Qiang Ji & Jianping Li & Xiaolei Sun, 2019. "New Challenge and Research Development in Global Energy Financialization," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(12), pages 2669-2672, September.

    Cited by:

    1. Qiao, Sen & Guo, Zi Xin & Tao, Zhang & Ren, Zheng Yu, 2023. "Analyzing the network structure of risk transmission among renewable, non-renewable energy and carbon markets," Renewable Energy, Elsevier, vol. 209(C), pages 206-217.
    2. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    3. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    4. Xin-Long Xu & Hsing Hung Chen, 2020. "Exploring the relationships between environmental management and financial sustainability in the energy industry: Linear and nonlinear effects," Energy & Environment, , vol. 31(7), pages 1281-1300, November.
    5. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    6. Wang, Zuyi & Kim, Man-Keun, 2022. "Price bubbles in oil & gas markets and their transfer," Resources Policy, Elsevier, vol. 79(C).
    7. Nie, Hongguang & Zhou, Ting & Lu, Haiyan & Huang, Shupeng, 2021. "Evaluation of the efficiency of Chinese energy-saving household appliance subsidy policy: An economic benefit perspective," Energy Policy, Elsevier, vol. 149(C).
    8. Lin, Boqiang & Wang, Yao, 2020. "Analyzing the elasticity and subsidy to reform the residential electricity tariffs in China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 189-206.
    9. Nazim Hajiyev & Manafova Mansura & Elena Sverdlikova & Roman Safronov & Tatyana Vityutina, 2021. "Oligopoly Trends in Energy Markets: Causes, Crisis of Competition, and Sectoral Development Strategies," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 392-400.
    10. Kliber, Agata & Łęt, Blanka, 2022. "Degree of connectedness and the transfer of news across the oil market and the European stocks," Energy, Elsevier, vol. 239(PC).
    11. Hu, Min & Zhang, Dayong & Ji, Qiang & Wei, Lijian, 2020. "Macro factors and the realized volatility of commodities: A dynamic network analysis," Resources Policy, Elsevier, vol. 68(C).

  32. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019. "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, vol. 30(C), pages 420-425.

    Cited by:

    1. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    2. Lv, Fei & Yang, Chen & Fang, Libing, 2020. "Do the crude oil futures of the Shanghai International Energy Exchange improve asset allocation of Chinese petrochemical-related stocks?," International Review of Financial Analysis, Elsevier, vol. 71(C).
    3. Mbarki, Imen & Khan, Muhammad Arif & Karim, Sitara & Paltrinieri, Andrea & Lucey, Brian M., 2023. "Unveiling commodities-financial markets intersections from a bibliometric perspective," Resources Policy, Elsevier, vol. 83(C).
    4. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    5. Ji, Qiang & Bahloul, Walid & Geng, Jiang-Bo & Gupta, Rangan, 2020. "Trading behaviour connectedness across commodity markets: Evidence from the hedgers’ sentiment perspective," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    7. Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
    8. Chen, Yu-Lun & Mo, Wan-Shin, 2023. "Determinants and dynamic interactions of trader positions in the gold futures market," Journal of Commodity Markets, Elsevier, vol. 31(C).
    9. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    10. Lili Pan & Lin Wang & Qianqian Feng, 2022. "A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    11. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2020. "The effects of investor emotions sentiments on crude oil returns: A time and frequency dynamics analysis," International Economics, Elsevier, vol. 162(C), pages 110-124.
    12. Luo, Jiawen & Ji, Qiang & Klein, Tony & Todorova, Neda & Zhang, Dayong, 2020. "On realized volatility of crude oil futures markets: Forecasting with exogenous predictors under structural breaks," Energy Economics, Elsevier, vol. 89(C).
    13. Xia, Tongshui & Yao, Chen-Xi & Geng, Jiang-Bo, 2020. "Dynamic and frequency-domain spillover among economic policy uncertainty, stock and housing markets in China," International Review of Financial Analysis, Elsevier, vol. 67(C).
    14. Shen, Yiran & Sun, Xiaolei & Ji, Qiang & Zhang, Dayong, 2023. "Climate events matter in the global natural gas market," Energy Economics, Elsevier, vol. 125(C).
    15. Zhao, Wan-Li & Fan, Ying & Ji, Qiang, 2022. "Extreme risk spillover between crude oil price and financial factors," Finance Research Letters, Elsevier, vol. 46(PA).
    16. Li, Songsong & Zhang, Weiqian & Zhang, Wei, 2023. "Dynamic time-frequency connectedness and risk spillover between geopolitical risks and natural resources," Resources Policy, Elsevier, vol. 82(C).
    17. Song, Yingjie & Ji, Qiang & Du, Ya-Juan & Geng, Jiang-Bo, 2019. "The dynamic dependence of fossil energy, investor sentiment and renewable energy stock markets," Energy Economics, Elsevier, vol. 84(C).
    18. Atri, Hanen & Kouki, Saoussen & Gallali, Mohamed imen, 2021. "The impact of COVID-19 news, panic and media coverage on the oil and gold prices: An ARDL approach," Resources Policy, Elsevier, vol. 72(C).
    19. Lang, Qiaoqi & Lu, Xinjie & Ma, Feng & Huang, Dengshi, 2022. "Oil futures volatility predictability: Evidence based on Twitter-based uncertainty," Finance Research Letters, Elsevier, vol. 47(PA).
    20. Zhifang He & Jiaqi Chen & Fangzhao Zhou & Guoqing Zhang & Fenghua Wen, 2022. "Oil price uncertainty and the risk‐return relation in stock markets: Evidence from oil‐importing and oil‐exporting countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1154-1172, January.
    21. Thobekile Qabhobho & Anokye M. Adam & Anthony Adu-Asare Idun & Emmanuel Asafo-Adjei & Ebenezer Boateng, 2023. "Exploring the Time-varying Connectedness and Contagion Effects among Exchange Rates of BRICS, Energy Commodities, and Volatilities," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 272-283, March.
    22. Jingjian, Si & Xiangyun, Gao & Jinsheng, Zhou & Anjian, Wang & Xiaotian, Sun & Yiran, Zhao & Hongyu, Wei, 2023. "The impact of oil price shocks on energy stocks from the perspective of investor attention," Energy, Elsevier, vol. 278(PB).
    23. Lin, Boqiang & Su, Tong, 2020. "Does oil price have similar effects on the exchange rates of BRICS?," International Review of Financial Analysis, Elsevier, vol. 69(C).
    24. Sourav Prasad & Sabyasachi Mohapatra & Molla Ramizur Rahman & Amit Puniyani, 2022. "Investor Sentiment Index: A Systematic Review," IJFS, MDPI, vol. 11(1), pages 1-27, December.
    25. Ben Osman, Myriam & Galariotis, Emilios & Guesmi, Khaled & Hamdi, Haykel & Naoui, Kamel, 2024. "Are markets sentiment driving the price bubbles in the virtual?," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 272-285.
    26. Ji, Qiang & Bouri, Elie & Kristoufek, Ladislav & Lucey, Brian, 2021. "Realised volatility connectedness among Bitcoin exchange markets," Finance Research Letters, Elsevier, vol. 38(C).
    27. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    28. Chen, Yu-Lun & Mo, Wan-Shin & Qin, Rong-Ling & Yang, J. Jimmy, 2023. "Return spillover across China's financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    29. Xie, Qiwei & Cheng, Lu & Liu, Ranran & Zheng, Xiaolong & Li, Jingyu, 2023. "COVID-19 and risk spillovers of China's major financial markets: Evidence from time-varying variance decomposition and wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 52(C).
    30. Jun Hao & Xiaolei Sun & Qianqian Feng, 2020. "A Novel Ensemble Approach for the Forecasting of Energy Demand Based on the Artificial Bee Colony Algorithm," Energies, MDPI, vol. 13(3), pages 1-25, January.
    31. Wang, Lu & Ma, Feng & Niu, Tianjiao & Liang, Chao, 2021. "The importance of extreme shock: Examining the effect of investor sentiment on the crude oil futures market," Energy Economics, Elsevier, vol. 99(C).
    32. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    33. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    34. Tsai, I-Chun & Chen, Han-Bo & Lin, Che-Chun, 2024. "The ability of energy commodities to hedge the dynamic risk of epidemic black swans," Resources Policy, Elsevier, vol. 89(C).
    35. Fen Li & Zhehao Huang & Junhao Zhong & Khaldoon Albitar, 2020. "Do Tense Geopolitical Factors Drive Crude Oil Prices?," Energies, MDPI, vol. 13(16), pages 1-20, August.
    36. Guo, Kun & Kang, Yuxin & Ma, Dandan & Lei, Lei, 2024. "How do climate risks impact the contagion in China's energy market?," Energy Economics, Elsevier, vol. 133(C).
    37. Chen, Rongda & Wei, Bo & Jin, Chenglu & Liu, Jia, 2021. "Returns and volatilities of energy futures markets: Roles of speculative and hedging sentiments," International Review of Financial Analysis, Elsevier, vol. 76(C).
    38. Zhang, Yue-Jun & Yan, Xing-Xing, 2020. "The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 750-768.
    39. Wu, Xi & Wang, Yudong, 2021. "How does corporate investment react to oil prices changes? Evidence from China," Energy Economics, Elsevier, vol. 97(C).
    40. Cuilin Li & Ya-Juan Du & Qiang Ji & Jiang-bo Geng, 2019. "Multiscale Market Integration and Nonlinear Granger Causality between Natural Gas Futures and Physical Markets," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    41. Li, Jingyu & Liu, Ranran & Yao, Yanzhen & Xie, Qiwei, 2022. "Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19," Resources Policy, Elsevier, vol. 77(C).
    42. Tiantian Liu & Shigeyuki Hamori, 2021. "Does Investor Sentiment Affect Clean Energy Stock? Evidence from TVP-VAR-Based Connectedness Approach," Energies, MDPI, vol. 14(12), pages 1-21, June.
    43. Su, Chi-Wei & Khan, Khalid & Tao, Ran & Nicoleta-Claudia, Moldovan, 2019. "Does geopolitical risk strengthen or depress oil prices and financial liquidity? Evidence from Saudi Arabia," Energy, Elsevier, vol. 187(C).
    44. Feng, Qianqian & Sun, Xiaolei & Liu, Chang & Li, Jianping, 2021. "Spillovers between sovereign CDS and exchange rate markets: The role of market fear," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    45. Chen, Xian & Li, Yang & Xiao, Jihong & Wen, Fenghua, 2020. "Oil shocks, competition, and corporate investment: Evidence from China," Energy Economics, Elsevier, vol. 89(C).
    46. Zhou, Wei & Rao, Wanying & Lu, Shuai, 2020. "Market stability analysis after the circuit breaker for the CSI 300 energy index," Finance Research Letters, Elsevier, vol. 34(C).
    47. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    48. Sun, Chuanwang & Min, Jialin & Sun, Jiacheng & Gong, Xu, 2023. "The role of China's crude oil futures in world oil futures market and China's financial market," Energy Economics, Elsevier, vol. 120(C).
    49. Chen, Rongda & Wang, Shengnan & Ye, Mengya & Jin, Chenglu & Ren, He & Chen, Shu, 2022. "Cross-Market Investor Sentiment of Energy Futures and Return Comovements," Finance Research Letters, Elsevier, vol. 49(C).
    50. José, Barrales-Ruíz & Pino, Gabriel, 2024. "On the effect of short-run and long-run US economic expectations on oil and gold volatilities," Resources Policy, Elsevier, vol. 91(C).
    51. Zhang, Yue-Jun & Lin, Jia-Juan, 2019. "Can the VAR model outperform MRS model for asset allocation in commodity market under different risk preferences of investors?," International Review of Financial Analysis, Elsevier, vol. 66(C).
    52. Zhu, Zhaobo & Ji, Qiang & Sun, Licheng & Zhai, Pengxiang, 2020. "Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry," International Review of Financial Analysis, Elsevier, vol. 70(C).
    53. Fasanya, Ismail & Adekoya, Oluwasegun & Oyewole, Oluwatomisin & Adegboyega, Soliu, 2022. "Investor sentiment and energy futures predictability: Evidence from Feasible Quasi Generalized Least Squares," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    54. Zou, Yingchao & Yu, Lean & Tso, Geoffrey K.F. & He, Kaijian, 2020. "Risk forecasting in the crude oil market: A multiscale Convolutional Neural Network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    55. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    56. Gu, Fu & Wang, Jiqiang & Guo, Jianfeng & Fan, Ying, 2020. "Dynamic linkages between international oil price, plastic stock index and recycle plastic markets in China," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 167-179.
    57. Xu Zhang & Xian Yang & Jianping Li & Jun Hao, 2023. "Contemporaneous and noncontemporaneous idiosyncratic risk spillovers in commodity futures markets: A novel network topology approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 705-733, June.
    58. Zhang, Yunhan & Li, Yan & Zhao, Wanli & Ji, Qiang, 2024. "Climate risk performance and returns integration of Chinese listed energy companies," Energy Economics, Elsevier, vol. 129(C).

  33. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

    Cited by:

    1. Acheampong, Albert & Elshandidy, Tamer, 2021. "Does soft information determine credit risk? Text-based evidence from European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    2. Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    3. Dimitris Anastasiou & Apostolos Katsafados, 2023. "Bank deposits and textual sentiment: When an European Central Bank president's speech is not just a speech," Manchester School, University of Manchester, vol. 91(1), pages 55-87, January.
    4. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    5. Han, Chen & Wu, Chengliang & Wei, Lu, 2023. "The impact of the disclosure characteristics of the application material on the successful listing of companies on China’s Science and Technology Innovation Board," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    6. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    7. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    8. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    9. Ming-Fu Hsu & Chingho Chang & Jhih‐Hong Zeng, 2022. "Automated text mining process for corporate risk analysis and management," Risk Management, Palgrave Macmillan, vol. 24(4), pages 386-419, December.
    10. Ming-Fu Hsu & Ying-Shao Hsin & Fu-Jiing Shiue, 2022. "Business analytics for corporate risk management and performance improvement," Annals of Operations Research, Springer, vol. 315(2), pages 629-669, August.
    11. Li, Jianping & Feng, Yuyao & Li, Guowen & Sun, Xiaolei, 2020. "Tourism companies' risk exposures on text disclosure," Annals of Tourism Research, Elsevier, vol. 84(C).

  34. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.

    Cited by:

    1. Vukovic, Darko B. & Lapshina, Kseniya A. & Maiti, Moinak, 2021. "Wavelet coherence analysis of returns, volatility and interdependence of the US and the EU money markets: Pre & post crisis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    2. Wen, Shigang & Li, Jianping & Huang, Chuangxia & Zhu, Xiaoqian, 2023. "Extreme risk spillovers among traditional financial and FinTech institutions: A complex network perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 190-202.
    3. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. Shi, Qing & Sun, Xiaoqi & Jiang, Yile, 2022. "Concentrated commonalities and systemic risk in China's banking system: A contagion network approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    5. Wang, Ze & Gao, Xiangyun & Huang, Shupei & Sun, Qingru & Chen, Zhihua & Tang, Renwu & Di, Zengru, 2022. "Measuring systemic risk contribution of global stock markets: A dynamic tail risk network approach," International Review of Financial Analysis, Elsevier, vol. 84(C).
    6. Yao, Yinhong & Li, Jianping & Sun, Xiaolei, 2021. "Measuring the risk of Chinese Fintech industry: evidence from the stock index," Finance Research Letters, Elsevier, vol. 39(C).
    7. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    8. Xue Cui & Lu Yang, 2024. "Systemic risk and idiosyncratic networks among global systemically important banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 58-75, January.
    9. Ren, Yinghua & Zhao, Wanru & You, Wanhai & Zhai, Kaikai, 2021. "Multiscale and partial correlation networks analysis of risk connectedness in global equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    10. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    11. Deng, Chao & Su, Xiaojian & Wang, Gangjin & Peng, Cheng, 2022. "The existence of flight-to-quality under extreme conditions: Evidence from a nonlinear perspective in Chinese stocks and bonds' sectors," Economic Modelling, Elsevier, vol. 113(C).
    12. Wang, Gang-Jin & Chen, Yang-Yang & Si, Hui-Bin & Xie, Chi & Chevallier, Julien, 2021. "Multilayer information spillover networks analysis of China’s financial institutions based on variance decompositions," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 325-347.
    13. Ying-Ying Shen & Zhi-Qiang Jiang & Jun-Chao Ma & Gang-Jin Wang & Wei-Xing Zhou, 2022. "Sector connectedness in the Chinese stock markets," Empirical Economics, Springer, vol. 62(2), pages 825-852, February.
    14. Su, Zhi & Xu, Fuwei, 2021. "Dynamic identification of systemically important financial markets in the spread of contagion: A ripple network based collective spillover effect approach," Journal of Multinational Financial Management, Elsevier, vol. 60(C).
    15. Chen, Wang & Ho, Kung-Cheng & Yang, Lu, 2020. "Network structures and idiosyncratic contagion in the European sovereign credit default swap market," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Xin Yang & Shan Chen & Hong Liu & Xiaoguang Yang & Chuangxia Huang, 2023. "Jump volatility spillover network based measurement of systemic importance of Chinese financial institutions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1201-1213, April.

  35. Wei, Lu & Li, Guowen & Zhu, Xiaoqian & Sun, Xiaolei & Li, Jianping, 2019. "Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures," Energy Economics, Elsevier, vol. 80(C), pages 452-460.

    Cited by:

    1. Blum, Avinoam & Raviv, Alon, 2023. "The effects of the financial crisis and Basel III on banks’ risk disclosure: A textual analysis," Finance Research Letters, Elsevier, vol. 53(C).
    2. Liu, Chang & Sun, Xiaolei & Wang, Jun & Li, Jianping & Chen, Jianming, 2021. "Multiscale information transmission between commodity markets: An EMD-Based transfer entropy network," Research in International Business and Finance, Elsevier, vol. 55(C).
    3. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. Ji, Qiang & Li, Jianping & Sun, Xiaolei, 2019. "Measuring the interdependence between investor sentiment and crude oil returns: New evidence from the CFTC's disaggregated reports," Finance Research Letters, Elsevier, vol. 30(C), pages 420-425.
    5. Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    6. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    7. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    8. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    9. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    10. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
    11. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    12. Li, Guowen & Jing, Zhongbo & Li, Jingyu & Feng, Yuyao, 2023. "Drivers of risk correlation among financial institutions: A study based on a textual risk disclosure perspective," Economic Modelling, Elsevier, vol. 128(C).
    13. Liu, Mingxi & Li, Guowen & Li, Jianping & Zhu, Xiaoqian & Yao, Yinhong, 2021. "Forecasting the price of Bitcoin using deep learning," Finance Research Letters, Elsevier, vol. 40(C).
    14. Lu Wei & Chen Han & Yinhong Yao, 2022. "The Bias Analysis of Oil and Gas Companies’ Credit Ratings Based on Textual Risk Disclosures," Energies, MDPI, vol. 15(7), pages 1-12, March.
    15. Li, Jianping & Feng, Yuyao & Li, Guowen & Sun, Xiaolei, 2020. "Tourism companies' risk exposures on text disclosure," Annals of Tourism Research, Elsevier, vol. 84(C).
    16. Düsterhöft, Maximilian & Schiemann, Frank & Walther, Thomas, 2023. "Let’s talk about risk! Stock market effects of risk disclosure for European energy utilities," Energy Economics, Elsevier, vol. 125(C).

  36. Jianping Li & Yinhong Yao & Yuanjie Xu & Jingyu Li & Lu Wei & Xiaoqian Zhu, 2019. "Consumer’s risk perception on the Belt and Road countries: evidence from the cross-border e-commerce," Electronic Commerce Research, Springer, vol. 19(4), pages 823-840, December.

    Cited by:

    1. Chuanmin Mi & Yijing Wang & Lin Xiao, 2021. "Prediction on transaction amounts of China’s CBEC with improved GM (1, 1) models based on the principle of new information priority," Electronic Commerce Research, Springer, vol. 21(1), pages 125-146, March.
    2. Zi Hui Yin & Chang Hwan Choi, 2023. "The effects of China’s cross-border e-commerce on its exports: a comparative analysis of goods and services trade," Electronic Commerce Research, Springer, vol. 23(1), pages 443-474, March.
    3. Shugang Li & Fang Liu & Yuqi Zhang & Boyi Zhu & He Zhu & Zhaoxu Yu, 2022. "Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review," Mathematics, MDPI, vol. 10(19), pages 1-26, September.

  37. Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2019. "Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-15, March.

    Cited by:

    1. Xin Long Xu & Chao Sun & Yi Li & Nidi Zhou, 2020. "The Effects of Environmental Management and Debt Financing on Sustainable Financial Growth in the Tourism Industry," SAGE Open, , vol. 10(3), pages 21582440209, August.

  38. Wu, Dengsheng & Li, Jing & Lu, Xiaoli & Li, Jianping, 2018. "Journal editorship index for assessing the scholarly impact of academic institutions: An empirical analysis in the field of economics," Journal of Informetrics, Elsevier, vol. 12(2), pages 448-460.

    Cited by:

    1. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    2. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.
    3. Yundong Xie & Qiang Wu & Xingchen Li, 2019. "Editorial team scholarly index (ETSI): an alternative indicator for evaluating academic journal reputation," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1333-1349, September.

  39. Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "A fuzzy mapping framework for risk aggregation based on risk matrices," Journal of Risk Research, Taylor & Francis Journals, vol. 21(5), pages 539-561, May.

    Cited by:

    1. He, Kaijian & Tso, Geoffrey K.F. & Zou, Yingchao & Liu, Jia, 2018. "Crude oil risk forecasting: New evidence from multiscale analysis approach," Energy Economics, Elsevier, vol. 76(C), pages 574-583.
    2. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.

  40. Li, Jianping & Yao, Xiaoyang & Sun, Xiaolei & Wu, Dengsheng, 2018. "Determining the fuzzy measures in multiple criteria decision aiding from the tolerance perspective," European Journal of Operational Research, Elsevier, vol. 264(2), pages 428-439.

    Cited by:

    1. Wu, Yunna & Zhang, Ting & Xu, Chuanbo & Zhang, Xiaoyu & Ke, Yiming & Chu, Han & Xu, Ruhang, 2019. "Location selection of seawater pumped hydro storage station in China based on multi-attribute decision making," Renewable Energy, Elsevier, vol. 139(C), pages 410-425.
    2. He, Kaijian & Tso, Geoffrey K.F. & Zou, Yingchao & Liu, Jia, 2018. "Crude oil risk forecasting: New evidence from multiscale analysis approach," Energy Economics, Elsevier, vol. 76(C), pages 574-583.
    3. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.
    4. Ruixin Su & Jianguo Du & Fakhar Shahzad & Xingle Long, 2020. "Unveiling the Effect of Mean and Volatility Spillover between the United States Economic Policy Uncertainty and WTI Crude Oil Price," Sustainability, MDPI, vol. 12(16), pages 1-12, August.

  41. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.

    Cited by:

    1. Harkin, Sean M. & Mare, Davide S. & Crook, Jonathan N., 2017. "Average Pay in Banks: Do Agency Problems and Bank Performance Matter?," MPRA Paper 81249, University Library of Munich, Germany.
    2. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    3. Davide Salvatore Mare & Dieter Gramlich, 2021. "Risk exposures of European cooperative banks: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 1-23, January.
    4. Wei, Lu & Miao, Xiyuan & Jing, Haozhe & Liu, Zhidong & Xie, Zezhong, 2023. "Bank risk aggregation based on the triple perspectives of bank managers, credit raters, and financial analysts," Finance Research Letters, Elsevier, vol. 57(C).
    5. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Cullen F. Goenner, 2024. "Robust lessons learned from bank failures during the Great Financial Crisis," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 449-498, February.
    7. Peter Backé & Sandra Dvorsky, 2018. "Enlargement of the euro area toward CESEE: progress and perspectives," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q3-18, pages 43-56.
    8. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    9. Mehrzad Azmi Shabestari & Kevin Moffitt & Bharat Sarath, 2020. "Did the banking sector foresee the financial crisis? Evidence from risk factor disclosures," Review of Quantitative Finance and Accounting, Springer, vol. 55(2), pages 647-669, August.
    10. Xin Long Xu & Chao Sun & Yi Li & Nidi Zhou, 2020. "The Effects of Environmental Management and Debt Financing on Sustainable Financial Growth in the Tourism Industry," SAGE Open, , vol. 10(3), pages 21582440209, August.

  42. Wu, Dengsheng & Yuan, Lili & Li, Ruoyun & Li, Jianping, 2018. "Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index," Journal of Informetrics, Elsevier, vol. 12(4), pages 1312-1326.

    Cited by:

    1. Long, Ruyin & Ren, Yuan & Wu, Meifen, 2022. "Differential decomposition of total-factor energy efficiency in Chinese coal mining cities considering environmental constraints: A dynamic and static perspective," Resources Policy, Elsevier, vol. 79(C).
    2. Fang Yao & Kai Zhao & Xiaoyu Xu & Wenfei Liu, 2022. "Can Corruption Facilitate Industrial Structure Upgrade in China? The Moderating Role of Government-Business Relationships," SAGE Open, , vol. 12(3), pages 21582440221, September.
    3. Shaoqi Sun & Yuanli Xie & Yunmei Li & Kansheng Yuan & Lifa Hu, 2022. "Analysis of Dynamic Evolution and Spatial-Temporal Heterogeneity of Carbon Emissions at County Level along “The Belt and Road”—A Case Study of Northwest China," IJERPH, MDPI, vol. 19(20), pages 1-20, October.
    4. Xu, Aiting & Qiu, Keyang & Zhu, Yuhan, 2023. "The measurements and decomposition of innovation inequality: Based on Industry − University − Research perspective," Journal of Business Research, Elsevier, vol. 157(C).
    5. Francis Mensah & Guoqing Shi & Qingnian Yu & Emmanuel Bosompem Boadi & Francis Akorful Andam & Nicholas Anarfi Bofah, 2022. "The Impact of Resettlement in Urban Market Redevelopment on Income Inequality, Its Determinants, and Implications for the Resettled Population: Applying the Kejetia New Market Exemplar, Ghana," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    6. Wang, You & Gong, Xu, 2022. "Analyzing the difference evolution of provincial energy consumption in China using the functional data analysis method," Energy Economics, Elsevier, vol. 105(C).
    7. Benna Da & Yunhua Wu & Wuyuntana Bao, 2024. "Analysis of Spatial Distribution and Spillover Effects of Fertilizer Application Intensity in Inner Mongolia, China," Sustainability, MDPI, vol. 16(11), pages 1-23, May.
    8. Fernanda Morillo, 2019. "Collaboration and impact of research in different disciplines with international funding (from the EU and other foreign sources)," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 807-823, August.

  43. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.

    Cited by:

    1. Wei Quan & Philippe Mongeon & Maxime Sainte-Marie & Rongying Zhao & Vincent Larivière, 2019. "On the development of China’s leadership in international collaborations," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 707-721, August.
    2. Anna Sworowska-Baranowska, 2021. "Science-Nonscience Research Partnership in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 96-113.
    3. Duanhong Zhang & Wenjia Ding & Yang Wang & Siwen Liu, 2022. "Exploring the Role of International Research Collaboration in Building China’s World-Class Universities," Sustainability, MDPI, vol. 14(6), pages 1-17, March.
    4. Mingchun Cao & Ilan Alon, 2020. "Intellectual Structure of the Belt and Road Initiative Research: A Scientometric Analysis and Suggestions for a Future Research Agenda," Sustainability, MDPI, vol. 12(17), pages 1-40, August.
    5. Yang Liu & Jinyuan Ma & Huanyu Song & Ziniu Qian & Xiao Lin, 2021. "Chinese Universities’ Cross-Border Research Collaboration in the Social Sciences and Its Impact," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    6. Hou, Lei & Pan, Yueling & Zhu, Jonathan J.H., 2021. "Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Wu, Dengsheng & Yuan, Lili & Li, Ruoyun & Li, Jianping, 2018. "Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index," Journal of Informetrics, Elsevier, vol. 12(4), pages 1312-1326.
    8. Xiuwen Chen & Jianping Li & Xiaolei Sun & Dengsheng Wu, 2019. "Early identification of intellectual structure based on co-word analysis from research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 349-369, October.
    9. Marginson, Simon, 2021. "National modernisation and global science in China," International Journal of Educational Development, Elsevier, vol. 84(C).
    10. Qinwei Cao & Manqing Tan & Peng Xie & Jian Huang, 2022. "Can emerging economies take advantage of their population size to gain international academic recognition? Evidence from key universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 927-957, February.
    11. Lipeng Fan & Yuefen Wang & Shengchun Ding & Binbin Qi, 2020. "Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1179-1196, November.
    12. Kyungkook Kim & Keun Tae Cho, 2021. "A Review of Global Collaboration on COVID-19 Research during the Pandemic in 2020," Sustainability, MDPI, vol. 13(14), pages 1-23, July.

  44. Jianping Li & Yanzhen Yao & Yibing Chen & Cheng-Few Lee, 2018. "Option prices and stock market momentum: evidence from China," Quantitative Finance, Taylor & Francis Journals, vol. 18(9), pages 1517-1529, September.

    Cited by:

    1. Yu, Xiao-Jian & Wang, Zi-Ling & Xiao, Wei-Lin, 2020. "Is the nonlinear hedge of options more effective?—Evidence from the SSE 50 ETF options in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Li, Bo & Liu, Zhenya & Teka, Hanen & Wang, Shixuan, 2023. "The evolvement of momentum effects in China: Evidence from functional data analysis," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Yibing Chen & Cheng-Few Lee & John Lee & Jow-Ran Chang, 2018. "Alternative Methods to Estimate Implied Variance: Review and Comparison," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-28, December.
    4. Zaremba, Adam & Mikutowski, Mateusz & Szczygielski, Jan Jakub & Karathanasopoulos, Andreas, 2021. "The alpha momentum effect in commodity markets," Energy Economics, Elsevier, vol. 93(C).
    5. Da Dong & Qingfu Liu & Pingping Tao & Zhiliang Ying, 2021. "The pricing mechanism between ETF option and spot markets in China," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1286-1300, August.
    6. Junshu Jiang & Jordan Richards & Raphael Huser & David Bolin, 2024. "The Efficient Tail Hypothesis: An Extreme Value Perspective on Market Efficiency," Papers 2408.06661, arXiv.org.
    7. Chen, Zhonglu & Liang, Chao & Umar, Muhammad, 2021. "Is investor sentiment stronger than VIX and uncertainty indices in predicting energy volatility?," Resources Policy, Elsevier, vol. 74(C).

  45. Jianping Li & Chunbing Bao & Dengsheng Wu, 2018. "How to Design Rating Schemes of Risk Matrices: A Sequential Updating Approach," Risk Analysis, John Wiley & Sons, vol. 38(1), pages 99-117, January.

    Cited by:

    1. Karar, Ahmed Noaman & Labib, Ashraf & Jones, Dylan, 2024. "A resilience-based maintenance optimisation framework using multiple criteria and Knapsack methods," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    2. F. Acebes & J. M. González-Varona & A. López-Paredes & J. Pajares, 2024. "Beyond probability-impact matrices in project risk management: A quantitative methodology for risk prioritisation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    3. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.
    4. Wei, Lu & Jing, Haozhe & Huang, Jie & Deng, Yuqi & Jing, Zhongbo, 2023. "Do textual risk disclosures reveal corporate risk? Evidence from U.S. fintech corporations," Economic Modelling, Elsevier, vol. 127(C).
    5. Žužek Tena & Rihar Lidija & Berlec Tomaž & Kušar Janez, 2020. "Standard Project Risk Analysis Approach," Business Systems Research, Sciendo, vol. 11(2), pages 149-158, October.
    6. Hasibuan, Abdul Muis & Gregg, Daniel & Stringer, Randy, 2020. "Accounting for diverse risk attitudes in measures of risk perceptions: A case study of climate change risk for small-scale citrus farmers in Indonesia," Land Use Policy, Elsevier, vol. 95(C).
    7. Alex de Lima Teodoro da Penha & Samuel Vinícius Bonato & Joana Baleeiro Passos & Eduardo da Silva Fernandes & Cínthia Kulpa & Carla Schwengber ten Caten, 2024. "Navigating the Urgency: An Open Innovation Project of Protective Equipment Development from a Quadruple Helix Perspective," Sustainability, MDPI, vol. 16(4), pages 1-32, February.
    8. Vicki Bier, 2020. "The Role of Decision Analysis in Risk Analysis: A Retrospective," Risk Analysis, John Wiley & Sons, vol. 40(S1), pages 2207-2217, November.

  46. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.

    Cited by:

    1. Johnstone, David & Havyatt, David, 2022. "Sophistry and high electricity prices in Australia," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 88(C).
    2. Ajjima Jiravichai & Ruth Banomyong, 2022. "A Proposed Methodology for Literature Review on Operational Risk Management in Banks," Risks, MDPI, vol. 10(5), pages 1-18, May.
    3. Martin Eling & Kwangmin Jung, 2022. "Heterogeneity in cyber loss severity and its impact on cyber risk measurement," Risk Management, Palgrave Macmillan, vol. 24(4), pages 273-297, December.
    4. Berlinger, Edina & Lilla Keresztúri, Judit & Lublóy, Ágnes & Vőneki Tamásné, Zsuzsanna, 2022. "Press freedom and operational losses: The monitoring role of the media," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).

  47. Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian & Wei, Lu, 2017. "Expected default based score for identifying systemically important banks," Economic Modelling, Elsevier, vol. 64(C), pages 589-600.

    Cited by:

    1. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    3. Alexey Vasilenko, 2018. "Systemic Risk and Financial Fragility in the Chinese Economy: A Dynamic Factor Model Approach," Bank of Russia Working Paper Series wps30, Bank of Russia.
    4. Zhang, Xuan & Ouyang, Ruolan & Liu, Ding & Xu, Liao, 2020. "Determinants of corporate default risk in China: The role of financial constraints," Economic Modelling, Elsevier, vol. 92(C), pages 87-98.
    5. Zhang, Xuan & Zhao, Yang & Yao, Xiao, 2022. "Forecasting corporate default risk in China," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1054-1070.
    6. Curcio, Domenico & D’Amico, Simona & Gianfrancesco, Igor & Vioto, Davide, 2024. "Understanding the impact of the financial technology revolution on systemic risk: Evidence from US and EU diversified financials," Research in International Business and Finance, Elsevier, vol. 69(C).
    7. Cheng, Aijun, 2023. "Evaluating Fintech industry's risks: A preliminary analysis based on CRISP-DM framework," Finance Research Letters, Elsevier, vol. 55(PB).

  48. Yong Shi & Zhiguang Shan & Jianping Li & Yufei Fang, 2017. "How China Deals with Big Data," Annals of Data Science, Springer, vol. 4(4), pages 433-440, December.

    Cited by:

    1. Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.
    2. Sanjay Kumar, 2020. "Monitoring Novel Corona Virus (COVID-19) Infections in India by Cluster Analysis," Annals of Data Science, Springer, vol. 7(3), pages 417-425, September.
    3. Atanu Bhattacharjee, 2020. "Estimation of Treatment Effect with Missing Observations for Three Arms and Three Periods Crossover Clinical Trials," Annals of Data Science, Springer, vol. 7(3), pages 447-460, September.
    4. Hossein Hassani & Xu Huang & Emmanuel Silva & Mansi Ghodsi, 2020. "Deep Learning and Implementations in Banking," Annals of Data Science, Springer, vol. 7(3), pages 433-446, September.
    5. B. Shravan Kumar & Vadlamani Ravi & Rishabh Miglani, 2021. "Predicting Indian Stock Market Using the Psycho-Linguistic Features of Financial News," Annals of Data Science, Springer, vol. 8(3), pages 517-558, September.
    6. Braznev Sarkar & Malay Bhattacharyya, 2021. "Spectral Algorithms for Streaming Graph Analysis: A Survey," Annals of Data Science, Springer, vol. 8(4), pages 667-681, December.

  49. Jianping Li & Yongjia Xie & Dengsheng Wu & Yuanping Chen, 2017. "Underestimating or overestimating the distribution inequality of research funding? The influence of funding sources and subdivision," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 55-74, July.

    Cited by:

    1. Qianqian Jin & Hongshu Chen & Ximeng Wang & Tingting Ma & Fei Xiong, 2022. "Exploring funding patterns with word embedding-enhanced organization–topic networks: a case study on big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5415-5440, September.
    2. Osinga, Sjoukje A. & Paudel, Dilli & Mouzakitis, Spiros A. & Athanasiadis, Ioannis N., 2022. "Big data in agriculture: Between opportunity and solution," Agricultural Systems, Elsevier, vol. 195(C).
    3. Wu, Dengsheng & Yuan, Lili & Li, Ruoyun & Li, Jianping, 2018. "Decomposing inequality in research funding by university-institute sub-group: A three-stage nested Theil index," Journal of Informetrics, Elsevier, vol. 12(4), pages 1312-1326.
    4. Xiuwen Chen & Jianping Li & Xiaolei Sun & Dengsheng Wu, 2019. "Early identification of intellectual structure based on co-word analysis from research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 349-369, October.

  50. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    3. Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    4. Xiaodong Guo & Chen Hao & Shuwen Niu, 2020. "Analysis of Oil Import Risk and Strategic Petroleum Reserve: The Case of China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    5. Yang, Yang & Liu, Zhen & Saydaliev, Hayot Berk & Iqbal, Sajid, 2022. "Economic impact of crude oil supply disruption on social welfare losses and strategic petroleum reserves," Resources Policy, Elsevier, vol. 77(C).
    6. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    7. Yuan, Meng & Zhang, Haoran & Wang, Bohong & Huang, Liqiao & Fang, Kai & Liang, Yongtu, 2020. "Downstream oil supply security in China: Policy implications from quantifying the impact of oil import disruption," Energy Policy, Elsevier, vol. 136(C).
    8. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).
    9. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    10. An, Qier & Wang, Lang & Qu, Debin & Zhang, Hujun, 2018. "Dependency network of international oil trade before and after oil price drop," Energy, Elsevier, vol. 165(PA), pages 1021-1033.
    11. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024. "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, vol. 184(C).
    12. Hao, Jun & Li, Jianping & Wu, Dengsheng & Sun, Xiaolei, 2020. "Portfolio optimisation of material purchase considering supply risk – A multi-objective programming model," International Journal of Production Economics, Elsevier, vol. 230(C).
    13. Wang, Jun & Sun, Xiaolei & Li, Jianping, 2020. "How do sovereign credit default swap spreads behave under extreme oil price movements? Evidence from G7 and BRICS countries," Finance Research Letters, Elsevier, vol. 34(C).
    14. Shao, Yanmin & Qiao, Han & Wang, Shouyang, 2017. "What determines China's crude oil importing trade patterns? Empirical evidences from 55 countries between 1992 and 2015," Energy Policy, Elsevier, vol. 109(C), pages 854-862.
    15. Wei, Lu & Li, Guowen & Zhu, Xiaoqian & Sun, Xiaolei & Li, Jianping, 2019. "Developing a hierarchical system for energy corporate risk factors based on textual risk disclosures," Energy Economics, Elsevier, vol. 80(C), pages 452-460.
    16. Lu, Hongfang & Xu, FengYing & Liu, Hongxiao & Wang, Jun & Campbell, Daniel E. & Ren, Hai, 2019. "Emergy-based analysis of the energy security of China," Energy, Elsevier, vol. 181(C), pages 123-135.
    17. Gong, Xu & Sun, Yi & Du, Zhili, 2022. "Geopolitical risk and China's oil security," Energy Policy, Elsevier, vol. 163(C).
    18. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    19. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    20. Tao, Miaomiao & Poletti, Stephen & Sheng, Mingyue Selena & Wen, Le, 2024. "Nexus between carbon, stock, and energy markets in New Zealand: An analysis of causal domains," Energy, Elsevier, vol. 299(C).
    21. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    22. Kumar, Sourabh & Barua, Mukesh Kumar, 2022. "A modeling framework and analysis of challenges faced by the Indian petroleum supply chain," Energy, Elsevier, vol. 239(PE).
    23. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    24. Zhang, Jing, 2019. "Oil and gas trade between China and countries and regions along the ‘Belt and Road’: A panoramic perspective," Energy Policy, Elsevier, vol. 129(C), pages 1111-1120.

  51. Zhao, Yang & Li, Jianping & Yu, Lean, 2017. "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 9-16.

    Cited by:

    1. Jen-Yu Lee & Tien-Thinh Nguyen & Hong-Giang Nguyen & Jen-Yao Lee, 2022. "Towards Predictive Crude Oil Purchase: A Case Study in the USA and Europe," Energies, MDPI, vol. 15(11), pages 1-15, May.
    2. Chao Liang & Yin Liao & Feng Ma & Bo Zhu, 2022. "United States Oil Fund volatility prediction: the roles of leverage effect and jumps," Empirical Economics, Springer, vol. 62(5), pages 2239-2262, May.
    3. Thakur, Jagruti & Hesamzadeh, Mohammad Reza & Date, Paresh & Bunn, Derek, 2023. "Pricing and hedging wind power prediction risk with binary option contracts," Energy Economics, Elsevier, vol. 126(C).
    4. Shao, Zhen & Zheng, Qingru & Yang, Shanlin & Gao, Fei & Cheng, Manli & Zhang, Qiang & Liu, Chen, 2020. "Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM," Energy Economics, Elsevier, vol. 86(C).
    5. Jha, Nimish & Kumar Tanneru, Hemanth & Palla, Sridhar & Hussain Mafat, Iradat, 2024. "Multivariate analysis and forecasting of the crude oil prices: Part I – Classical machine learning approaches," Energy, Elsevier, vol. 296(C).
    6. Yuanrong Wang & Yinsen Miao & Alexander CY Wong & Nikita P Granger & Christian Michler, 2023. "Domain-adapted Learning and Interpretability: DRL for Gas Trading," Papers 2301.08359, arXiv.org, revised Sep 2023.
    7. Tang, Ling & Wu, Yao & Yu, Lean, 2018. "A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting," Energy, Elsevier, vol. 157(C), pages 526-538.
    8. Liyang Tang, 2020. "Application of Nonlinear Autoregressive with Exogenous Input (NARX) neural network in macroeconomic forecasting, national goal setting and global competitiveness assessment," Papers 2005.08735, arXiv.org.
    9. Apostolos Ampountolas & Titus Nyarko Nde & Paresh Date & Corina Constantinescu, 2021. "A Machine Learning Approach for Micro-Credit Scoring," Risks, MDPI, vol. 9(3), pages 1-20, March.
    10. Miguel Ángel Rodríguez López & Diego Rodríguez Rodríguez, 2024. "La aplicación de datos masivos en economía de la energía: una revisión," Working Papers 2024-08, FEDEA.
    11. Aziz Ezzat, Ahmed, 2020. "Turbine-specific short-term wind speed forecasting considering within-farm wind field dependencies and fluctuations," Applied Energy, Elsevier, vol. 269(C).
    12. Lean Yu & Yueming Ma, 2021. "A Data-Trait-Driven Rolling Decomposition-Ensemble Model for Gasoline Consumption Forecasting," Energies, MDPI, vol. 14(15), pages 1-26, July.
    13. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    14. Zhang, Pinyi & Ci, Bicong, 2020. "Deep belief network for gold price forecasting," Resources Policy, Elsevier, vol. 69(C).
    15. Omer Berat Sezer & Mehmet Ugur Gudelek & Ahmet Murat Ozbayoglu, 2019. "Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019," Papers 1911.13288, arXiv.org.
    16. Li, Jingjing & Tang, Ling & Wang, Shouyang, 2020. "Forecasting crude oil price with multilingual search engine data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    17. Lili Pan & Lin Wang & Qianqian Feng, 2022. "A Bibliometric Analysis of Risk Management in Foreign Direct Investment: Insights and Implications," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    18. Sharifzadeh, Mahdi & Sikinioti-Lock, Alexandra & Shah, Nilay, 2019. "Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression," Renewable and Sustainable Energy Reviews, Elsevier, vol. 108(C), pages 513-538.
    19. Kim, A. & Yang, Y. & Lessmann, S. & Ma, T. & Sung, M.-C. & Johnson, J.E.V., 2020. "Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 217-234.
    20. Cheng, Xian & Wu, Peng & Liao, Stephen Shaoyi & Wang, Xuelian, 2023. "An integrated model for crude oil forecasting: Causality assessment and technical efficiency," Energy Economics, Elsevier, vol. 117(C).
    21. Zhang, Hong & Nguyen, Hoang & Bui, Xuan-Nam & Pradhan, Biswajeet & Mai, Ngoc-Luan & Vu, Diep-Anh, 2021. "Proposing two novel hybrid intelligence models for forecasting copper price based on extreme learning machine and meta-heuristic algorithms," Resources Policy, Elsevier, vol. 73(C).
    22. Sen, Abhibasu & Dutta Choudhury, Karabi, 2024. "Forecasting the Crude Oil prices for last four decades using deep learning approach," Resources Policy, Elsevier, vol. 88(C).
    23. Jian Ni & Yue Xu, 2023. "Forecasting the Dynamic Correlation of Stock Indices Based on Deep Learning Method," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 35-55, January.
    24. Huang, Lili & Wang, Jun, 2018. "Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network," Energy, Elsevier, vol. 151(C), pages 875-888.
    25. Abdollahi, Hooman & Ebrahimi, Seyed Babak, 2020. "A new hybrid model for forecasting Brent crude oil price," Energy, Elsevier, vol. 200(C).
    26. Radosław Puka & Bartosz Łamasz & Marek Michalski, 2021. "Effectiveness of Artificial Neural Networks in Hedging against WTI Crude Oil Price Risk," Energies, MDPI, vol. 14(11), pages 1-26, June.
    27. Sun, Shaolong & Sun, Yuying & Wang, Shouyang & Wei, Yunjie, 2018. "Interval decomposition ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 76(C), pages 274-287.
    28. Safari, Ali & Davallou, Maryam, 2018. "Oil price forecasting using a hybrid model," Energy, Elsevier, vol. 148(C), pages 49-58.
    29. Mst. Shapna Akter & Hossain Shahriar & Reaz Chowdhury & M. R. C. Mahdy, 2022. "Forecasting the Risk Factor of Frontier Markets: A Novel Stacking Ensemble of Neural Network Approach," Future Internet, MDPI, vol. 14(9), pages 1-23, August.
    30. Jiangwei Liu & Xiaohong Huang, 2021. "Forecasting Crude Oil Price Using Event Extraction," Papers 2111.09111, arXiv.org.
    31. Junyong Wu & Chen Shi & Meiyang Shao & Ran An & Xiaowen Zhu & Xing Huang & Rong Cai, 2019. "Reactive Power Optimization of a Distribution System Based on Scene Matching and Deep Belief Network," Energies, MDPI, vol. 12(17), pages 1-24, August.
    32. Guo, Jingjun & Zhao, Zhengling & Sun, Jingyun & Sun, Shaolong, 2022. "Multi-perspective crude oil price forecasting with a new decomposition-ensemble framework," Resources Policy, Elsevier, vol. 77(C).
    33. Nikseresht, Ali & Amindavar, Hamidreza, 2024. "Energy demand forecasting using adaptive ARFIMA based on a novel dynamic structural break detection framework," Applied Energy, Elsevier, vol. 353(PA).
    34. Feng, Qianqian & Sun, Xiaolei & Hao, Jun & Li, Jianping, 2021. "Predictability dynamics of multifactor-influenced installed capacity: A perspective of country clustering," Energy, Elsevier, vol. 214(C).
    35. Hong, Ying-Yi & Satriani, Thursy Rienda Aulia, 2020. "Day-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network," Energy, Elsevier, vol. 209(C).
    36. Liwen Ling & Dabin Zhang & Shanying Chen & Amin W. Mugera, 2020. "Can online search data improve the forecast accuracy of pork price in China?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 671-686, July.
    37. Bhatia, Kushagra & Mittal, Rajat & Varanasi, Jyothi & Tripathi, M.M., 2021. "An ensemble approach for electricity price forecasting in markets with renewable energy resources," Utilities Policy, Elsevier, vol. 70(C).
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    1. Dengsheng Wu & Xiaoqian Zhu & Jie Wan & Chunbing Bao & Jianping Li, 2019. "A Multiobjective Optimization Approach for Selecting Risk Response Strategies of Software Project: From the Perspective of Risk Correlations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 339-364, January.

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    1. Christian Schlögl & Sandra Boric & Gerhard Reichmann, 2024. "Publication and citation patterns of Austrian researchers in operations research and other sub-disciplines of business administration as indexed in Web of Science and Scopus," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(3), pages 711-736, September.
    2. Liao, Huchang & Tang, Ming & Li, Zongmin & Lev, Benjamin, 2019. "Bibliometric analysis for highly cited papers in operations research and management science from 2008 to 2017 based on Essential Science Indicators," Omega, Elsevier, vol. 88(C), pages 223-236.
    3. Rosa Maria Arnaldo Valdés & Serhat Burmaoglu & Vincenzo Tucci & Luiz Manuel Braga da Costa Campos & Lucia Mattera & Víctor Fernando Gomez Comendador, 2019. "Flight Path 2050 and ACARE Goals for Maintaining and Extending Industrial Leadership in Aviation: A Map of the Aviation Technology Space," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    4. Xiuwen Chen & Jianping Li & Xiaolei Sun & Dengsheng Wu, 2019. "Early identification of intellectual structure based on co-word analysis from research grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 349-369, October.

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    1. Lee, Chi-Chuan & Lee, Chien-Chiang & Ning, Shao-Lin, 2017. "Dynamic relationship of oil price shocks and country risks," Energy Economics, Elsevier, vol. 66(C), pages 571-581.
    2. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    3. Shen, Yiran & Liu, Chang & Sun, Xiaolei & Guo, Kun, 2023. "Investor sentiment and the Chinese new energy stock market: A risk–return perspective," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 395-408.
    4. Wang, Yue & Zhang, Zhenke & Xu, Minghui, 2023. "Evolution pattern of African countries' oil trade under the changing in the global oil market," Energy, Elsevier, vol. 284(C).
    5. Hasan Dinçer & Serhat Yüksel & Seçil Şenel, 2018. "Analyzing the Global Risks for the Financial Crisis after the Great Depression Using Comparative Hybrid Hesitant Fuzzy Decision-Making Models: Policy Recommendations for Sustainable Economic Growth," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    6. İhsan Pençe & Adnan Kalkan & Melike Şişeci Çeşmeli, 2019. "Estimation of the Country Ranking Scores on the Global Innovation Index 2016 Using the Artificial Neural Network Method," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-16, June.
    7. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M., 2020. "The (in)efficiency of NYMEX energy futures: A multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    8. Raphael Semet & Thierry Roncalli & Lauren Stagnol, 2021. "ESG and Sovereign Risk: What is Priced in by the Bond Market and Credit Rating Agencies?," Papers 2110.06617, arXiv.org.
    9. Radosław Puka & Bartosz Łamasz & Marek Michalski, 2021. "Effectiveness of Artificial Neural Networks in Hedging against WTI Crude Oil Price Risk," Energies, MDPI, vol. 14(11), pages 1-26, June.
    10. Lee, Chi-Chuan & Lee, Chien-Chiang, 2019. "Oil price shocks and Chinese banking performance: Do country risks matter?," Energy Economics, Elsevier, vol. 77(C), pages 46-53.
    11. Zhou, Na & Wu, Qiaosheng & Hu, Xiangping & Xu, Deyi & Wang, Xiaolin, 2020. "Evaluation of Chinese natural gas investment along the Belt and Road Initiative using super slacks-based measurement of efficiency method," Resources Policy, Elsevier, vol. 67(C).
    12. Zhang, Zhengyong & Shahzad, Syed Jawad Hussain & Bouri, Elie, 2022. "Tail risk transmission from commodity prices to sovereign risk of emerging economies," Resources Policy, Elsevier, vol. 78(C).
    13. Husaini, Dzul Hadzwan & Lean, Hooi Hooi, 2021. "Asymmetric impact of oil price and exchange rate on disaggregation price inflation," Resources Policy, Elsevier, vol. 73(C).
    14. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    15. Bouri, Elie & Shahzad, Syed Jawad Hussain & Raza, Naveed & Roubaud, David, 2018. "Oil volatility and sovereign risk of BRICS," Energy Economics, Elsevier, vol. 70(C), pages 258-269.
    16. Bouri, Elie & Kachacha, Imad & Roubaud, David, 2020. "Oil market conditions and sovereign risk in MENA oil exporters and importers," Energy Policy, Elsevier, vol. 137(C).
    17. Chien‐Chiang Lee & Chi‐Chuan Lee & Donald Lien, 2019. "Do country risk and financial uncertainty matter for energy commodity futures?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 366-383, March.
    18. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    19. Ehouman, Yao Axel, 2021. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters: Evidence using a copula approach," International Economics, Elsevier, vol. 168(C), pages 76-97.
    20. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    21. Albaity, Mohamed & Shah, Syed Faisal & Al-Tamimi, Hussein A.Hassan & Rahman, Mahfuzur & Thangavelu, Shanmugam, 2023. "Country risk and bank returns: Evidence from MENA countries," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    22. Yao Axel Ehouman, 2021. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters : Evidence using a Copula Approach," Post-Print hal-03348410, HAL.
    23. Bouri, Elie & Jalkh, Naji & Roubaud, David, 2019. "Commodity volatility shocks and BRIC sovereign risk: A GARCH-quantile approach," Resources Policy, Elsevier, vol. 61(C), pages 385-392.
    24. Su, Kuangxi & Yao, Yinhong & Zheng, Chengli & Xie, Wenzhao, 2023. "A novel hybrid strategy for crude oil future hedging based on the combination of three minimum-CVaR models," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 35-50.
    25. Zhang, Jing, 2019. "Oil and gas trade between China and countries and regions along the ‘Belt and Road’: A panoramic perspective," Energy Policy, Elsevier, vol. 129(C), pages 1111-1120.
    26. Elie Bouri, 2019. "The Effect of Jumps in the Crude Oil Market on the Sovereign Risks of Major Oil Exporters," Risks, MDPI, vol. 7(4), pages 1-15, December.
    27. Yao Axel Ehouman, 2020. "Dependence structure between oil price volatility and sovereign credit risk of oil exporters: Evidence using a Copula Approach," EconomiX Working Papers 2020-31, University of Paris Nanterre, EconomiX.

  55. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.

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    2. Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2019. "Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-15, March.
    3. Paulusch, Joachim & Schlütter, Sebastian, 2022. "Sensitivity-implied tail-correlation matrices," Journal of Banking & Finance, Elsevier, vol. 134(C).
    4. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    5. Chim M. Lau & Ulrike Schaede, 2020. "Of substitutes and complements: trade credit versus bank loans in Japan, 1980–2012," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 305-326, July.
    6. Wei, Lu & Li, Guowen & Li, Jianping & Zhu, Xiaoqian, 2019. "Bank risk aggregation with forward-looking textual risk disclosures," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    7. Božović, Miloš & Ivanović, Jelena, 2017. "Adverse risk interaction: An integrated approach," Economic Modelling, Elsevier, vol. 65(C), pages 67-74.
    8. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    9. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).
    10. M. Andrea Arias-Serna & Jean-Michel Loubes & Francisco J. Caro-Lopera, 2020. "Risk Measures Estimation Under Wasserstein Barycenter," Papers 2008.05824, arXiv.org.
    11. M. Andrea Arias-Serna & Jean Michel Loubes & Francisco J. Caro-Lopera, 2022. "Multi-Variate Risk Measures under Wasserstein Barycenter," Risks, MDPI, vol. 10(9), pages 1-15, September.
    12. Mejdoub, Hanène & Ben Arab, Mounira, 2018. "Impact of dependence modeling of non-life insurance risks on capital requirement: D-Vine Copula approach," Research in International Business and Finance, Elsevier, vol. 45(C), pages 208-218.

  56. Dengsheng Wu & Minglu Li & Xiaoqian Zhu & Hongfang Song & Jianping Li, 2015. "Ranking the research productivity of business and management institutions in Asia–Pacific region: empirical research in leading ABS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1253-1272, November.

    Cited by:

    1. Yongjia Xie & Dengsheng Wu & Yuanping Chen & Wenbin Jiao & Jianping Li, 2017. "A Data-Driven Dynamic Programming Model for Research Position Demand Forecasting," Annals of Data Science, Springer, vol. 4(1), pages 19-30, March.
    2. Qiong Jia & Liyuan Wei & Xiaotong Li, 2019. "Visualizing Sustainability Research in Business and Management (1990–2019) and Emerging Topics: A Large-Scale Bibliometric Analysis," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
    3. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    4. Lili Yuan & Yanni Hao & Minglu Li & Chunbing Bao & Jianping Li & Dengsheng Wu, 2018. "Who are the international research collaboration partners for China? A novel data perspective based on NSFC grants," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 401-422, July.
    5. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 521-542, April.
    6. Dengsheng Wu & Yongjia Xie & Qianzhi Dai & Jianping Li, 2016. "A Systematic Overview of Operations Research/Management Science Research in Mainland China: Bibliometric Analysis of the Period 2001–2013," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-26, December.
    7. Mehdi Rhaiem & Nabil Amara, 2020. "Determinants of research efficiency in Canadian business schools: evidence from scholar-level data," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 53-99, October.
    8. Wu, Dengsheng & Li, Jing & Lu, Xiaoli & Li, Jianping, 2018. "Journal editorship index for assessing the scholarly impact of academic institutions: An empirical analysis in the field of economics," Journal of Informetrics, Elsevier, vol. 12(2), pages 448-460.

  57. Jianping Li & Xiaolei Sun & Fei Wang & Dengsheng Wu, 2015. "Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach," Annals of Operations Research, Springer, vol. 234(1), pages 57-76, November.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    2. Iliopoulou, Christina & Kepaptsoglou, Konstantinos & Schinas, Orestis, 2018. "Energy supply security for the Aegean islands: A routing model with risk and environmental considerations," Energy Policy, Elsevier, vol. 113(C), pages 608-620.
    3. Ali Cheaitou & Pierre Cariou, 2019. "Greening of maritime transportation: a multi-objective optimization approach," Annals of Operations Research, Springer, vol. 273(1), pages 501-525, February.
    4. Lean Yu & Zebin Yang & Ling Tang, 2016. "Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 423-451, March.

  58. Zhu, Xiaoqian & Xie, Yongjia & Li, Jianping & Wu, Dengsheng, 2015. "Change point detection for subprime crisis in American banking: From the perspective of risk dependence," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 18-28.

    Cited by:

    1. Li, Jingyu & Yao, Yanzhen & Li, Jianping & Zhu, Xiaoqian, 2019. "Network-based estimation of systematic and idiosyncratic contagion: The case of Chinese financial institutions," Emerging Markets Review, Elsevier, vol. 40(C), pages 1-1.
    2. Günsür, Başak Tanyeri & Bulut, Emre, 2022. "Investor reactions to major events in the sub-prime mortgage crisis," Finance Research Letters, Elsevier, vol. 47(PB).
    3. Yang Lei & Qiang Zhou & Waiman Cheung & Xiling Cui & Ling Peng, 2023. "Market reaction to the announcement of online sales channel investment in enterprises: Evidence from a relatively stable market environment," Electronic Commerce Research, Springer, vol. 23(2), pages 973-1005, June.
    4. Li, Jingyu & Li, Jianping & Zhu, Xiaoqian, 2020. "Risk dependence between energy corporations: A text-based measurement approach," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 33-46.
    5. Jianping Li & Lu Wei & Cheng-Few Lee & Xiaoqian Zhu & Dengsheng Wu, 2018. "Financial statements based bank risk aggregation," Review of Quantitative Finance and Accounting, Springer, vol. 50(3), pages 673-694, April.
    6. Li, Boyan & Diao, Xundi, 2023. "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).

  59. Yuying Yang & Chang Liu & Xiaolei Sun & Jianping Li, 2015. "Spillover effect of international crude oil market on tanker market," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(4/5/6), pages 257-277.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. He, Zhifang, 2020. "Dynamic impacts of crude oil price on Chinese investor sentiment: Nonlinear causality and time-varying effect," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 131-153.
    3. Jamal Bouoiyour & Refk Selmi, 2016. "The responses of BRICS Equities to China's Slowdown: A Multi-Scale Causality Analysis," Working papers of CATT hal-01880323, HAL.
    4. Ki-Hong Choi & Seong-Min Yoon, 2020. "Asymmetric Dependence between Oil Prices and Maritime Freight Rates: A Time-Varying Copula Approach," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    5. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    6. Khalfaoui, Rabeh, 2018. "Oil–gold time varying nexus: A time–frequency analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 86-104.
    7. Liu, Xueyong & An, Haizhong & Huang, Shupei & Wen, Shaobo, 2017. "The evolution of spillover effects between oil and stock markets across multi-scales using a wavelet-based GARCH–BEKK model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 374-383.
    8. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    9. Yu, Lean & Li, Jingjing & Tang, Ling & Wang, Shuai, 2015. "Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach," Energy Economics, Elsevier, vol. 51(C), pages 300-311.
    10. Zhang, Weiping & Zhuang, Xintian & Wu, Dongmei, 2020. "Spatial connectedness of volatility spillovers in G20 stock markets: Based on block models analysis," Finance Research Letters, Elsevier, vol. 34(C).
    11. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    12. Shi, Wenming & Gong, Yuting & Yin, Jingbo & Nguyen, Son & Liu, Qian, 2022. "Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model," Energy, Elsevier, vol. 254(PB).
    13. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.

  60. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.

    Cited by:

    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. Dahl, Roy Endre & Lorentzen, Sindre & Oglend, Atle & Osmundsen, Petter, 2016. "Pro-Cyclical Petroleum Investments and Cost Overruns in Norway by Roy Endré Dahl, Sindre Lorentzen, Atle Oglend, and Petter Osmundsen," UiS Working Papers in Economics and Finance 2016/7, University of Stavanger.
    3. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    4. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    5. Brutschin, Elina & Fleig, Andreas, 2018. "Geopolitically induced investments in biofuels," Energy Economics, Elsevier, vol. 74(C), pages 721-732.
    6. Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    7. Zheng, Shuxian & Zhou, Xuanru & Zhao, Pei & Xing, Wanli & Han, Yawen & Hao, Hongchang & Luo, Wenbo, 2022. "Impact of countries’ role on trade prices from a nickel chain perspective: Based on complex network and panel regression analysis," Resources Policy, Elsevier, vol. 78(C).
    8. İhsan Pençe & Adnan Kalkan & Melike Şişeci Çeşmeli, 2019. "Estimation of the Country Ranking Scores on the Global Innovation Index 2016 Using the Artificial Neural Network Method," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-16, June.
    9. Xiaodong Guo & Chen Hao & Shuwen Niu, 2020. "Analysis of Oil Import Risk and Strategic Petroleum Reserve: The Case of China," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
    10. Zhu, Bo & Liu, Jiahao & Lin, Renda & Chevallier, Julien, 2021. "Cross-border systemic risk spillovers in the global oil system: Does the oil trade pattern matter?," Energy Economics, Elsevier, vol. 101(C).
    11. Fen Li & Cunyi Yang & Zhenghui Li & Pierre Failler, 2021. "Does Geopolitics Have an Impact on Energy Trade? Empirical Research on Emerging Countries," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    12. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    13. Jiang, Wei & Zhang, Yanyu & Wang, Kai-Hua, 2024. "Analyzing the connectedness among geopolitical risk, traditional energy and carbon markets," Energy, Elsevier, vol. 298(C).
    14. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    15. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    16. Long Zhang & Wuliyasu Bai, 2020. "Risk Assessment of China’s Natural Gas Importation: A Supply Chain Perspective," SAGE Open, , vol. 10(3), pages 21582440209, July.
    17. Liu, Chang & Sun, Xiaolei & Chen, Jianming & Li, Jianping, 2016. "Statistical properties of country risk ratings under oil price volatility: Evidence from selected oil-exporting countries," Energy Policy, Elsevier, vol. 92(C), pages 234-245.
    18. Dahl, Roy Endré & Lorentzen, Sindre & Oglend, Atle & Osmundsen, Petter, 2017. "Pro-cyclical petroleum investments and cost overruns in Norway," Energy Policy, Elsevier, vol. 100(C), pages 68-78.
    19. Guo, Kun & Luan, Liyuan & Cai, Xiaoli & Zhang, Dayong & Ji, Qiang, 2024. "Energy trade stability of China: Policy options with increasing climate risks," Energy Policy, Elsevier, vol. 184(C).
    20. Kamyk, Jarosław & Kot-Niewiadomska, Alicja & Galos, Krzysztof, 2021. "The criticality of crude oil for energy security: A case of Poland," Energy, Elsevier, vol. 220(C).
    21. Henriques, Carla Oliveira & Lima, Alexandre & Nguyen, Duc Khuong & Neves, Maria Elisabete, 2024. "Assessing the vulnerability of oil-dependent countries in Europe," Energy Economics, Elsevier, vol. 133(C).
    22. Muñoz, Beatriz & García-Verdugo, Javier & San-Martín, Enrique, 2015. "Quantifying the geopolitical dimension of energy risks: A tool for energy modelling and planning," Energy, Elsevier, vol. 82(C), pages 479-500.
    23. Matallah, Siham, 2022. "Economic diversification and governance challenges in MENA oil exporters: A comparative analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    24. Zhang, Hongwei & Wang, Ying & Yang, Cai & Guo, Yaoqi, 2021. "The impact of country risk on energy trade patterns based on complex network and panel regression analyses," Energy, Elsevier, vol. 222(C).
    25. Pavlović, Darko & Banovac, Eraldo & Vištica, Nikola, 2018. "Defining a composite index for measuring natural gas supply security - The Croatian gas market case," Energy Policy, Elsevier, vol. 114(C), pages 30-38.
    26. van Moerkerk, Mike & Crijns-Graus, Wina, 2016. "A comparison of oil supply risks in EU, US, Japan, China and India under different climate scenarios," Energy Policy, Elsevier, vol. 88(C), pages 148-158.
    27. Vivoda, Vlado, 2019. "LNG import diversification and energy security in Asia," Energy Policy, Elsevier, vol. 129(C), pages 967-974.
    28. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    29. Zhong, Weiqiong & An, Haizhong & Shen, Lei & Dai, Tao & Fang, Wei & Gao, Xiangyun & Dong, Di, 2017. "Global pattern of the international fossil fuel trade: The evolution of communities," Energy, Elsevier, vol. 123(C), pages 260-270.
    30. Gong, Chengzhu & Gong, Nianjiao & Qi, Rui & Yu, Shiwei, 2020. "Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights," Resources Policy, Elsevier, vol. 67(C).
    31. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2022. "Linkage dynamics of sovereign credit risk and financial markets: A bibliometric analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    32. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    33. Xi, Xian & Zhou, Jinsheng & Gao, Xiangyun & Liu, Donghui & Zheng, Huiling & Sun, Qingru, 2019. "Impact of changes in crude oil trade network patterns on national economy," Energy Economics, Elsevier, vol. 84(C).
    34. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    35. Kharrazi, Ali & Fath, Brian D., 2016. "Measuring global oil trade dependencies: An application of the point-wise mutual information method," Energy Policy, Elsevier, vol. 88(C), pages 271-277.
    36. Li, Yingli & Huang, Jianbai & Zhang, Hongwei, 2022. "The impact of country risks on cobalt trade patterns from the perspective of the industrial chain," Resources Policy, Elsevier, vol. 77(C).
    37. Ali Nowrouzi & Mostafa Panahi & Hamidreza Ghaffarzadeh & Abtin Ataei, 2019. "Iran’s gas export portfolio risk analysis based on the development of dependency risk framework," Energy & Environment, , vol. 30(4), pages 629-640, June.
    38. Sato, Masahiro & Kharrazi, Ali & Nakayama, Hirofumi & Kraines, Steven & Yarime, Masaru, 2017. "Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience," Energy Policy, Elsevier, vol. 105(C), pages 41-52.
    39. Kamonphorn Kanchana & Hironobu Unesaki, 2015. "Assessing Energy Security Using Indicator-Based Analysis: The Case of ASEAN Member Countries," Social Sciences, MDPI, vol. 4(4), pages 1-47, December.

  61. Sun, Xiaolei & Li, Jianping & Wang, Yongfeng & Clark, Woodrow W., 2014. "China's Sovereign Wealth Fund Investments in overseas energy: The energy security perspective," Energy Policy, Elsevier, vol. 65(C), pages 654-661.

    Cited by:

    1. Alkis Theonas Pitelis & Christos Pitelis, 2016. "New Roles that Key Developing Countries Will Have in the Provision of Finance for Europe," Working papers wpaper138, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    2. Salman Bahoo & M. Kabir Hassan & Andrea Paltrinieri & Ashraf Khan, 2019. "A model of the Islamic sovereign wealth fund," Islamic Economic Studies, Emerald Group Publishing Limited, vol. 27(1), pages 2-22, August.
    3. Bahoo, Salman & Alon, Ilan & Paltrinieri, Andrea, 2020. "Sovereign wealth funds: Past, present and future," International Review of Financial Analysis, Elsevier, vol. 67(C).
    4. Shiteng Xu & Jeff Gow & Youzhi Chen & Yahua Zhang & Zhibin Huang, 2019. "The Determinants Of Outward Foreign Direct Investment Strategies Of Chinese Energy Firms," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(04), pages 1019-1036, September.
    5. Oliver McPherson‐Smith, 2021. "Diversification, Khashoggi, and Saudi Arabia’s Public Investment Fund," Global Policy, London School of Economics and Political Science, vol. 12(2), pages 190-203, April.
    6. Megginson, William L. & Gao, Xuechen, 2020. "The state of research on sovereign wealth funds," Global Finance Journal, Elsevier, vol. 44(C).
    7. Gippner, Olivia & Torney, Diarmuid, 2017. "Shifting policy priorities in EU-China energy relations: Implications for Chinese energy investments in Europe," Energy Policy, Elsevier, vol. 101(C), pages 649-658.
    8. Ciarlone, Alessio & Miceli, Valeria, 2016. "Escaping financial crises? Macro evidence from sovereign wealth funds' investment behaviour," Emerging Markets Review, Elsevier, vol. 27(C), pages 169-196.
    9. Biancone, Paolo Pietro & Radwan, Maha, 2018. "Sharia-Compliant financing for public utility infrastructure," Utilities Policy, Elsevier, vol. 52(C), pages 88-94.
    10. Liedtke, Stephan, 2017. "Chinese energy investments in Europe: An analysis of policy drivers and approaches," Energy Policy, Elsevier, vol. 101(C), pages 659-669.
    11. K.S.Reddy, 2019. "Pot the ball? Sovereign wealth funds’ outward FDI in times of global financial market turbulence: A yield institutions-based view," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 19(4), pages 129-139.
    12. Peng, Benhong & Zhao, Yinyin & Elahi, Ehsan & Wan, Anxia, 2022. "Pathway and key factor identification of third-party market cooperation of China's overseas energy investment projects," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    13. Kamiński, Tomasz, 2017. "Sovereign Wealth Fund investments in Europe as an instrument of Chinese energy policy," Energy Policy, Elsevier, vol. 101(C), pages 733-739.
    14. LIU Kerry, 2018. "Government Ownership In Listed Firms Around The World," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 13(2), pages 131-146, August.
    15. Li, Huajiao & Fang, Wei & An, Haizhong & Gao, Xiangyun & Yan, Lili, 2016. "Holding-based network of nations based on listed energy companies: An empirical study on two-mode affiliation network of two sets of actors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 224-232.
    16. Li, Huajiao & An, Haizhong & Fang, Wei & Wang, Yue & Zhong, Weiqiong & Yan, Lili, 2017. "Global energy investment structure from the energy stock market perspective based on a Heterogeneous Complex Network Model," Applied Energy, Elsevier, vol. 194(C), pages 648-657.
    17. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
    18. Wang, Kai-Hua & Su, Chi-Wei & Umar, Muhammad, 2021. "Geopolitical risk and crude oil security: A Chinese perspective," Energy, Elsevier, vol. 219(C).
    19. Jos? Miguel Asensio & Alessandro Fiorini & Juan Pablo Jimenez Navarro, 2018. "Chinese foreign direct investments in the EU energy sector," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 0(2), pages 207-229.
    20. Alvaro Cuervo-Cazurra & Anna Grosman & Geoffrey T. Wood, 2023. "Cross-country variations in sovereign wealth funds’ transparency," Journal of International Business Policy, Palgrave Macmillan, vol. 6(3), pages 306-329, September.
    21. Reddy, K.S. & Xie, En, 2017. "Cross-border mergers and acquisitions by oil and gas multinational enterprises: Geography-based view of energy strategy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 961-980.

  62. Sun, Xiaolei & Tang, Ling & Yang, Yuying & Wu, Dengsheng & Li, Jianping, 2014. "Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance," Economic Modelling, Elsevier, vol. 42(C), pages 287-295.

    Cited by:

    1. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. Ngo Thai Hung, 2020. "Identifying the Dynamic Connectedness between Propane and Oil Prices: Evidence from Wavelet Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 315-326.
    3. Hofmann, Erik & Solakivi, Tomi & Töyli, Juuso & Zinn, Martin, 2018. "Oil price shocks and the financial performance patterns of logistics service providers," Energy Economics, Elsevier, vol. 72(C), pages 290-306.
    4. Sun, Xiaolei & Chen, Xiuwen & Wang, Jun & Li, Jianping, 2020. "Multi-scale interactions between economic policy uncertainty and oil prices in time-frequency domains," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    5. Bai, Xiwen, 2021. "Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach," Energy, Elsevier, vol. 235(C).
    6. Vamsidhar Ambatipudi & Dilip Kumar, 2022. "Economic Policy Uncertainty Versus Sector Volatility: Evidence from India Using Multi-scale Wavelet Granger Causality Analysis," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 184-210, June.
    7. Shi, Wenming & Gong, Yuting & Yin, Jingbo & Nguyen, Son & Liu, Qian, 2022. "Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model," Energy, Elsevier, vol. 254(PB).
    8. Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017. "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, vol. 21(C), pages 214-221.
    9. Skantzouri, Efthymia Nefeli & Sambracos, Evangelos, 2018. "Freight Rate Volatility and Vessels Size in Tankers’ Sector," MPRA Paper 97896, University Library of Munich, Germany, revised 25 Nov 2019.
    10. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A copula-GARCH approach for analyzing dynamic conditional dependency structure between liquefied petroleum gas freight rate, product price arbitrage and crude oil price," Energy Economics, Elsevier, vol. 78(C), pages 412-427.
    11. Siddiqui, Atiq W. & Basu, Rounaq, 2020. "An empirical analysis of relationships between cyclical components of oil price and tanker freight rates," Energy, Elsevier, vol. 200(C).
    12. Chen, Feier & Miao, Yuqi & Tian, Kang & Ding, Xiaoxu & Li, Tingyi, 2017. "Multifractal cross-correlations between crude oil and tanker freight rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 344-354.

  63. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.

    Cited by:

    1. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    2. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    3. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Le, TN-Lan & Leyva-de la Hiz, Dante I., 2021. "Markov-switching dependence between artificial intelligence and carbon price: The role of policy uncertainty in the era of the 4th industrial revolution and the effect of COVID-19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 163(C).

  64. Jianping Li & Jichuang Feng & Xiaolei Sun & Minglu Li, 2012. "Risk Integration Mechanisms And Approaches In Banking Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1183-1213.

    Cited by:

    1. Marwan Alzoubi & Ayman Abdalmajeed Alsmadi & Hamad kasasbeh, 2022. "Systemically Important Bank: A Bibliometric Analysis for the Period of 2002 to 2022," SAGE Open, , vol. 12(4), pages 21582440221, December.
    2. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    3. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.
    4. M. Andrea Arias-Serna & Jean-Michel Loubes & Francisco J. Caro-Lopera, 2020. "Risk Measures Estimation Under Wasserstein Barycenter," Papers 2008.05824, arXiv.org.
    5. Chen, Rongda & Li, Cong & Wang, Weijin & Wang, Ze, 2014. "Empirical analysis on future-cash arbitrage risk with portfolio VaR," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 398(C), pages 210-216.
    6. Enrico Bernardi & Silvia Romagnoli, 2016. "Distorted Copula-Based Probability Distribution of a Counting Hierarchical Variable: A Credit Risk Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 285-310, March.

  65. Tang, Ling & Yu, Lean & Wang, Shuai & Li, Jianping & Wang, Shouyang, 2012. "A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 93(C), pages 432-443.

    Cited by:

    1. Ni, Dan & Zhang, Ning & Gao, Bo & Li, Zhong & Yang, Minguan, 2020. "Dynamic measurements on unsteady pressure pulsations and flow distributions in a nuclear reactor coolant pump," Energy, Elsevier, vol. 198(C).
    2. Sun, Jingyun & Zhao, Panpan & Sun, Shaolong, 2022. "A new secondary decomposition-reconstruction-ensemble approach for crude oil price forecasting," Resources Policy, Elsevier, vol. 77(C).
    3. Niu, Wente & Sun, Yuping & Zhang, Xiaowei & Lu, Jialiang & Liu, Hualin & Li, Qiaojing & Mu, Ying, 2023. "An ensemble transfer learning strategy for production prediction of shale gas wells," Energy, Elsevier, vol. 275(C).
    4. Wang, Deyun & Luo, Hongyuan & Grunder, Olivier & Lin, Yanbing, 2017. "Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction," Renewable Energy, Elsevier, vol. 113(C), pages 1345-1358.
    5. Shen, Meng & Lu, Yujie & Wei, Kua Harn & Cui, Qingbin, 2020. "Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    6. Ding, Yishan, 2018. "A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting," Energy, Elsevier, vol. 154(C), pages 328-336.
    7. Jindai Zhang & Jinlou Zhao, 2022. "Trend- and Periodicity-Trait-Driven Gasoline Demand Forecasting," Energies, MDPI, vol. 15(10), pages 1-15, May.
    8. Xiong, Tao & Bao, Yukun & Hu, Zhongyi, 2013. "Beyond one-step-ahead forecasting: Evaluation of alternative multi-step-ahead forecasting models for crude oil prices," Energy Economics, Elsevier, vol. 40(C), pages 405-415.
    9. Wang, Xin & Sun, Mei, 2021. "A novel prediction model of multi-layer symbolic pattern network: Based on causation entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 575(C).
    10. Fu, Sibao & Li, Yongwu & Sun, Shaolong & Li, Hongtao, 2019. "Evolutionary support vector machine for RMB exchange rate forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 692-704.
    11. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
    12. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    13. Leung, Philip C.M. & Lee, Eric W.M., 2013. "Estimation of electrical power consumption in subway station design by intelligent approach," Applied Energy, Elsevier, vol. 101(C), pages 634-643.
    14. Zhu, Jiaming & Wu, Peng & Chen, Huayou & Liu, Jinpei & Zhou, Ligang, 2019. "Carbon price forecasting with variational mode decomposition and optimal combined model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 140-158.
    15. Sun, Shaolong & Wang, Shouyang & Wei, Yunjie, 2019. "A new multiscale decomposition ensemble approach for forecasting exchange rates," Economic Modelling, Elsevier, vol. 81(C), pages 49-58.
    16. Jihong Xiao & Xuehong Zhu & Chuangxia Huang & Xiaoguang Yang & Fenghua Wen & Meirui Zhong, 2019. "A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 287-310, January.
    17. Piotr Bórawski & Aneta Bełdycka-Bórawska & Bogdan Klepacki & Lisa Holden & Tomasz Rokicki & Andrzej Parzonko, 2024. "Changes in Gross Nuclear Electricity Production in the European Union," Energies, MDPI, vol. 17(14), pages 1-31, July.
    18. Shao, Zhen & Chao, Fu & Yang, Shan-Lin & Zhou, Kai-Le, 2017. "A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 123-136.
    19. Ding, Song & Tao, Zui & Zhang, Huahan & Li, Yao, 2022. "Forecasting nuclear energy consumption in China and America: An optimized structure-adaptative grey model," Energy, Elsevier, vol. 239(PA).
    20. Jin, Jiahuan & Ma, Mingyu & Jin, Huan & Cui, Tianxiang & Bai, Ruibin, 2023. "Container terminal daily gate in and gate out forecasting using machine learning methods," Transport Policy, Elsevier, vol. 132(C), pages 163-174.
    21. Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
    22. Xue-hua Zhao & Xu Chen, 2015. "Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2913-2926, June.
    23. Safari, Ali & Davallou, Maryam, 2018. "Oil price forecasting using a hybrid model," Energy, Elsevier, vol. 148(C), pages 49-58.
    24. Tang, Ling & Yu, Lean & He, Kaijian, 2014. "A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 128(C), pages 1-14.
    25. Baratsas, Stefanos G. & Niziolek, Alexander M. & Onel, Onur & Matthews, Logan R. & Floudas, Christodoulos A. & Hallermann, Detlef R. & Sorescu, Sorin M. & Pistikopoulos, Efstratios N., 2022. "A novel quantitative forecasting framework in energy with applications in designing energy-intelligent tax policies," Applied Energy, Elsevier, vol. 305(C).
    26. Wang, Delu & Tian, Cuicui & Mao, Jinqi & Chen, Fan, 2023. "Forecasting coal demand in key coal consuming industries based on the data-characteristic-driven decomposition ensemble model," Energy, Elsevier, vol. 282(C).
    27. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    28. Wang, Minggang & Tian, Lixin & Zhou, Peng, 2018. "A novel approach for oil price forecasting based on data fluctuation network," Energy Economics, Elsevier, vol. 71(C), pages 201-212.
    29. Gaojun Zhang & Jinfeng Wu & Bing Pan & Junyi Li & Minjie Ma & Muzi Zhang & Jian Wang, 2017. "Improving daily occupancy forecasting accuracy for hotels based on EEMD-ARIMA model," Tourism Economics, , vol. 23(7), pages 1496-1514, November.
    30. Zhu, Bangzhu & Huang, Liqing & Yuan, Lili & Ye, Shunxin & Wang, Ping, 2020. "Exploring the risk spillover effects between carbon market and electricity market: A bidimensional empirical mode decomposition based conditional value at risk approach," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 163-175.
    31. Quande Qin & Huangda He & Li Li & Ling-Yun He, 2020. "A Novel Decomposition-Ensemble Based Carbon Price Forecasting Model Integrated with Local Polynomial Prediction," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1249-1273, April.
    32. Tascikaraoglu, A. & Erdinc, O. & Uzunoglu, M. & Karakas, A., 2014. "An adaptive load dispatching and forecasting strategy for a virtual power plant including renewable energy conversion units," Applied Energy, Elsevier, vol. 119(C), pages 445-453.
    33. Sun, Shaolong & Lu, Hongxu & Tsui, Kwok-Leung & Wang, Shouyang, 2019. "Nonlinear vector auto-regression neural network for forecasting air passenger flow," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 54-62.
    34. Li, Jianping & Li, Guowen & Liu, Mingxi & Zhu, Xiaoqian & Wei, Lu, 2022. "A novel text-based framework for forecasting agricultural futures using massive online news headlines," International Journal of Forecasting, Elsevier, vol. 38(1), pages 35-50.
    35. Lv, You & Liu, Jizhen & Yang, Tingting & Zeng, Deliang, 2013. "A novel least squares support vector machine ensemble model for NOx emission prediction of a coal-fired boiler," Energy, Elsevier, vol. 55(C), pages 319-329.
    36. Asit Kumar Das & Debahuti Mishra & Kaberi Das & Pradeep Kumar Mallick & Sachin Kumar & Mikhail Zymbler & Hesham El-Sayed, 2022. "Prophesying the Short-Term Dynamics of the Crude Oil Future Price by Adopting the Survival of the Fittest Principle of Improved Grey Optimization and Extreme Learning Machine," Mathematics, MDPI, vol. 10(7), pages 1-33, March.
    37. Hajirahimi, Zahra & Khashei, Mehdi, 2022. "Series Hybridization of Parallel (SHOP) models for time series forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    38. Yutao Qi & Zhanao Zhou & Lingling Yang & Yining Quan & Qiguang Miao, 2019. "A Decomposition-Ensemble Learning Model Based on LSTM Neural Network for Daily Reservoir Inflow Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4123-4139, September.
    39. Ke Yan & Yuting Dai & Meiling Xu & Yuchang Mo, 2019. "Tunnel Surface Settlement Forecasting with Ensemble Learning," Sustainability, MDPI, vol. 12(1), pages 1-11, December.
    40. Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
    41. Lean Yu & Zebin Yang & Ling Tang, 2016. "Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 423-451, March.
    42. Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020. "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, vol. 87(C).
    43. Sun, Shaolong & Qiao, Han & Wei, Yunjie & Wang, Shouyang, 2017. "A new dynamic integrated approach for wind speed forecasting," Applied Energy, Elsevier, vol. 197(C), pages 151-162.
    44. Manickavasagam, Jeevananthan & Visalakshmi, S. & Apergis, Nicholas, 2020. "A novel hybrid approach to forecast crude oil futures using intraday data," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    45. Yu, Lean & Zhao, Yaqing & Tang, Ling & Yang, Zebin, 2019. "Online big data-driven oil consumption forecasting with Google trends," International Journal of Forecasting, Elsevier, vol. 35(1), pages 213-223.
    46. Xie, Wen-Jie & Wei, Na & Zhou, Wei-Xing, 2023. "An interpretable machine-learned model for international oil trade network," Resources Policy, Elsevier, vol. 82(C).
    47. Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
    48. Jiang, Ping & Yang, Hufang & Li, Hongmin & Wang, Ying, 2021. "A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity," Energy, Elsevier, vol. 219(C).
    49. Yuebing Xu & Jing Zhang & Zuqiang Long & Yan Chen, 2018. "A Novel Dual-Scale Deep Belief Network Method for Daily Urban Water Demand Forecasting," Energies, MDPI, vol. 11(5), pages 1-15, April.
    50. Qin, Quande & Xie, Kangqiang & He, Huangda & Li, Li & Chu, Xianghua & Wei, Yi-Ming & Wu, Teresa, 2019. "An effective and robust decomposition-ensemble energy price forecasting paradigm with local linear prediction," Energy Economics, Elsevier, vol. 83(C), pages 402-414.
    51. Ling Tang & Shuai Wang & Kaijian He & Shouyang Wang, 2015. "A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting," Annals of Operations Research, Springer, vol. 234(1), pages 111-132, November.
    52. Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2020. "Predicting Primary Energy Consumption Using Hybrid ARIMA and GA-SVR Based on EEMD Decomposition," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    53. Zhu, Bangzhu & Han, Dong & Wang, Ping & Wu, Zhanchi & Zhang, Tao & Wei, Yi-Ming, 2017. "Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression," Applied Energy, Elsevier, vol. 191(C), pages 521-530.
    54. Yu, Lean & Zhao, Yang & Tang, Ling, 2014. "A compressed sensing based AI learning paradigm for crude oil price forecasting," Energy Economics, Elsevier, vol. 46(C), pages 236-245.
    55. Anqiang Huang & Xinjun Liu & Changrui Rao & Yi Zhang & Yifan He, 2022. "A New Container Throughput Forecasting Paradigm under COVID-19," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    56. Wang, Shanyong & Wang, Jing & Lin, Shoufu & Li, Jun, 2020. "How and when does information publicity affect public acceptance of nuclear energy?," Energy, Elsevier, vol. 198(C).

  66. Jianping Li & Xiaolei Sun & Wan He & Ling Tang & Weixuan Xu, 2009. "Modeling Dynamic Correlations And Spillover Effects Of Country Risk: Evidence From Russia And Kazakhstan," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 803-818.

    Cited by:

    1. Bigerna, Simona & Bollino, Carlo Andrea & Polinori, Paolo, 2021. "Oil import portfolio risk and spillover volatility," Resources Policy, Elsevier, vol. 70(C).
    2. Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    3. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    4. Jianping Li & Xiaolei Sun & Fei Wang & Dengsheng Wu, 2015. "Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach," Annals of Operations Research, Springer, vol. 234(1), pages 57-76, November.
    5. Stan Lipovetsky & Igor Mandel, 2017. "Coefficients of Structural Association," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 285-313, March.
    6. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    7. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    8. Liu, Chang & Sun, Xiaolei & Chen, Jianming & Li, Jianping, 2016. "Statistical properties of country risk ratings under oil price volatility: Evidence from selected oil-exporting countries," Energy Policy, Elsevier, vol. 92(C), pages 234-245.
    9. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo & Simshauer, Paul, 2022. "Renewable energy and portfolio volatility spillover effects of GCC oil exporting countries," MPRA Paper 114164, University Library of Munich, Germany.

  67. Jianping Li & Jichuang Feng & Jianming Chen, 2009. "A Piecewise-Defined Severity Distribution-Based Loss Distribution Approach To Estimate Operational Risk: Evidence From Chinese National Commercial Banks," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 727-747.

    Cited by:

    1. Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2019. "Should the Advanced Measurement Approach for Operational Risk be Discarded? Evidence from the Chinese Banking Industry," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-15, March.
    2. Lu Wei & Jianping Li & Xiaoqian Zhu, 2018. "Operational Loss Data Collection: A Literature Review," Annals of Data Science, Springer, vol. 5(3), pages 313-337, September.
    3. Jianping Li & Xiaoqian Zhu & Cheng-Few Lee & Dengsheng Wu & Jichuang Feng & Yong Shi, 2015. "On the aggregation of credit, market and operational risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 161-189, January.
    4. Yinhong Yao & Jianping Li, 2022. "Operational risk assessment of third-party payment platforms: a case study of China," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-20, December.
    5. Wang, Zongrun & Wang, Wuchao & Chen, Xiaohong & Jin, Yanbo & Zhou, Yanju, 2012. "Using BS-PSD-LDA approach to measure operational risk of Chinese commercial banks," Economic Modelling, Elsevier, vol. 29(6), pages 2095-2103.
    6. Xu, Chi & Zheng, Chunling & Wang, Donghua & Ji, Jingru & Wang, Nuan, 2019. "Double correlation model for operational risk: Evidence from Chinese commercial banks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 327-339.

  68. Jianping Li & Zhenyu Chen & Liwei Wei & Weixuan Xu & Gang Kou, 2007. "Feature Selection Via Least Squares Support Feature Machine," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(04), pages 671-686.

    Cited by:

    1. E. Martinez-De-Pison & J. Fernandez-Ceniceros & A. V. Pernia-Espinoza & F. J. Martinez-De-Pison & Andres Sanz-Garcia, 2016. "Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(05), pages 1211-1234, September.

Chapters

  1. Jianping Li & Yanzhen Yao & Yibing Chen & Cheng Few Lee, 2020. "Option Price and Stock Market Momentum in China," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 103, pages 3619-3647, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Kai Biehl & Franziska Disslbacher & Michael Ertl & Georg Feigl & Julia Hofmann & Markus Marterbauer & Patrick Mokre & Reinhold Russinger & Matthias Schnetzer & Jana Schultheiss & Tobias Schweitzer & T, 2020. "Der österreichische Sozialstaat in der Covid-19-Krise," Wirtschaft und Gesellschaft - WuG, Kammer für Arbeiter und Angestellte für Wien, Abteilung Wirtschaftswissenschaft und Statistik, vol. 46(4), pages 487-500.

  2. Xiaoqian Zhu & Jianping Li & Dengsheng Wu, 2020. "Simultaneously Capturing Multiple Dependence Features in Bank Risk Integration: A Mixture Copula Framework," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 38, pages 1485-1518, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Zhu, Xiaoqian & Wei, Lu & Li, Jianping, 2021. "A two-stage general approach to aggregate multiple bank risks," Finance Research Letters, Elsevier, vol. 40(C).

  3. Jianping Li & Mingxi Liu & Cheng Few Lee & Dengsheng Wu, 2020. "Support Vector Machines Based Methodology for Credit Risk Analysis," World Scientific Book Chapters, in: Cheng Few Lee & John C Lee (ed.), HANDBOOK OF FINANCIAL ECONOMETRICS, MATHEMATICS, STATISTICS, AND MACHINE LEARNING, chapter 20, pages 791-822, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. Ana López-Cheda & Yingwei Peng & María Amalia Jácome, 2023. "Rejoinder on: Nonparametric estimation in mixture cure models with covariates," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 32(2), pages 513-520, June.

  4. J. Li, 2015. "What Is the Impact of Capital Controls?," Palgrave Macmillan Books, in: Economic Management in a Volatile Environment, chapter 3, pages 49-72, Palgrave Macmillan.

    Cited by:

    1. Dorow, Max & Hastenteufel, Jessica & Weber, Susanne Theresia, 2023. "Auswirkungen der Digitalisierung auf das Controlling und die Rolle der Controller:innen," IU Discussion Papers - Business & Management 4 (Juni 2023), IU International University of Applied Sciences.

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