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Lv Dayong, Sr.

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Personal Details

First Name:Dayong
Middle Name:
Last Name:Lv
Suffix:Sr.
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RePEc Short-ID:pda638
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Affiliation

(90%) Shanghai Lixin University of Accounting and Finance

Shanghai, China
http://www.lixin.edu.cn/
RePEc:edi:shluccn (more details at EDIRC)

(10%) Antai College of Economics and Management
Shanghai Jiao Tong University

Shanghai, China
http://www.acem.sjtu.edu.cn/
RePEc:edi:acsjtcn (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Chengyu Li & Dayong Lv & Qingsong Ruan & Xiaokun Wei, 2025. "Green Bond Investment, Redemption Risk, and Fund Performance: Evidence From Chinese Bond Mutual Funds," International Review of Finance, International Review of Finance Ltd., vol. 25(4), December.
  2. Dayong Lv & Yaping Zhou & Yan Jiang, 2025. "Quote Limits Rule and Stock Market Efficiency: Evidence From a Regression Discontinuity Design," International Review of Finance, International Review of Finance Ltd., vol. 25(4), December.
  3. Jie Wu & Mi Zhou & Dayong Lv, 2025. "ETF ownership and stock price crash risk: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 32(6), pages 757-762, March.
  4. Lv, Dayong & Ye, Qi & Jiang, Yan & Wei, Xiaokun, 2025. "Enhanced judicial independence and bond credit spreads: Evidence from the establishment of circuit courts," Research in International Business and Finance, Elsevier, vol. 79(C).
  5. Ruan, Qingsong & Li, Chengyu & Lv, Dayong & Wei, Xiaokun, 2025. "Going Green: Effect of green bond issuance on corporate debt financing costs," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).
  6. Ruan, Qingsong & Lv, Dayong & Wei, Xiaokun, 2024. "High-speed rail and local government financing cost: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).
  7. Qingsong Ruan & Jiarui Zhang & Dayong Lv, 2024. "Forecasting exchange rate volatility: is economic policy uncertainty better?," Applied Economics, Taylor & Francis Journals, vol. 56(13), pages 1526-1544, March.
  8. Xue Ding & Mengling Qin & Linsen Yin & Dayong Lv & Yao Bai, 2023. "Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China," SAGE Open, , vol. 13(4), pages 21582440231, November.
  9. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
  10. Yaping Zhou & Xundi Diao & Dayong Lv, 2023. "Role of OTC options in stock price efficiency: Evidence from the Chinese market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4629-4655, December.
  11. Yaping Zhou & Dayong Lv, 2023. "Aggregate Investor Sentiment and Time-Varying Price Discovery: Evidence from the Options Market," Economic Analysis Letters, Anser Press, vol. 2(2), pages 1-6, May.
  12. Zhu, Minchen & Lv, Dayong & Wu, Wenfeng, 2022. "Market stabilization fund and stock price crash risk: Evidence from the post-crash period," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
  13. Haoyue Zhang & Dayong Lv & Wenfeng Wu, 2022. "Why do bank‐affiliated mutual funds perform better in China?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(5), pages 4755-4782, December.
  14. Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong & Wu, Youyi, 2022. "Transportation infrastructure and bond issuance credit spread: Evidence from the Chinese high-speed rail construction," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 30-47.
  15. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
  16. Cao, Zhiqi & Lv, Dayong & Sun, Zhenzhen, 2021. "Stock price manipulation, short-sale constraints, and breadth-return relationship," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
  17. Ruan, Qingsong & Zhou, Mi & Yin, Linsen & Lv, Dayong, 2021. "Hedging effectiveness of Chinese Treasury bond futures: New evidence based on nonlinear analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
  18. Dayong Lv & Wenfeng Wu, 2020. "Margin trading and price efficiency: information content or price‐adjustment speed?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2889-2918, September.
  19. Ruan, Qingsong & Wang, Zilin & Zhou, Yaping & Lv, Dayong, 2020. "A new investor sentiment indicator (ISI) based on artificial intelligence: A powerful return predictor in China," Economic Modelling, Elsevier, vol. 88(C), pages 47-58.
  20. Zhou, Yaping & Lu, Baoqun & Lv, Dayong & Ruan, Qingsong, 2019. "The informativeness of options-trading activities: Non-linear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  21. Dayong Lv & Wenfeng Wu, 2019. "Are margin traders informed?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(5), pages 3105-3131, December.
  22. Lv, Dayong & Wu, Wenfeng, 2019. "Margin-trading volatility and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 179-196.
  23. Ruan, Qingsong & Yang, Haiquan & Lv, Dayong & Zhang, Shuhua, 2018. "Cross-correlations between individual investor sentiment and Chinese stock market return: New perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 243-256.
  24. Ruan, Qingsong & Zhang, Manqian & Lv, Dayong & Yang, Haiquan, 2018. "SAD and stock returns revisited: Nonlinear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1009-1022.
  25. Dayong Lv & Qingsong Ruan, 2018. "Asymmetric effect of margin-trading activities on price crashes: evidence from Chinese stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 25(13), pages 900-904, July.

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. Jie Wu & Mi Zhou & Dayong Lv, 2025. "ETF ownership and stock price crash risk: evidence from China," Applied Economics Letters, Taylor & Francis Journals, vol. 32(6), pages 757-762, March.

    Cited by:

    1. Ye, Yilin, 2025. "Monetary policy uncertainty, inefficient investment, and stock price crash risk," Finance Research Letters, Elsevier, vol. 85(PC).

  2. Ruan, Qingsong & Li, Chengyu & Lv, Dayong & Wei, Xiaokun, 2025. "Going Green: Effect of green bond issuance on corporate debt financing costs," The North American Journal of Economics and Finance, Elsevier, vol. 75(PA).

    Cited by:

    1. Zhang, Fan & Li, Shaodong, 2025. "Green innovation, executives’ environmental awareness, and corporate value chain upgrading," Finance Research Letters, Elsevier, vol. 86(PD).
    2. Zhang, Yao & Guo, Xuemeng, 2025. "Crowding out or catalyzing? The dual role of local government debt in corporate green technology innovation," Finance Research Letters, Elsevier, vol. 86(PF).
    3. Wang, Zheng & Liu, Hongchao, 2025. "Can intelligent transformation enhance corporate green innovation performance?," Finance Research Letters, Elsevier, vol. 81(C).
    4. Junying Chen & Yuxin Luo & Junzhi Fang, 2025. "Spatial-Temporal Evolution and Driving Factors of the Synergistic Development of Green Finance and Low-Carbon Innovation," Sustainability, MDPI, vol. 17(18), pages 1-32, September.
    5. Ayaydın Hacıömeroğlu, Hande & Danışoğlu, Seza & Güner, Z. Nuray & Şahin, Baki Cem, 2026. "Here's the Greenium eclipsed by market-wide illiquidity in the municipal bond market," International Review of Financial Analysis, Elsevier, vol. 109(C).
    6. Chen, Lusi & Li, Shinan & She, Zhili, 2025. "A study on the impact of artificial intelligence applications on corporate green technological innovation: A mechanism analysis from multiple perspectives," International Review of Economics & Finance, Elsevier, vol. 103(C).
    7. Cheng Liu & Siyuan Dong & Xinyi Gao, 2026. "Environmental Background Officials and Focal Firms' Green Innovation: New Perspectives of Supply Chain Geography," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 33(4), pages 4826-4845, July.
    8. Tao, Chenlu & Cheng, Baodong & Liao, Zhilin & Wei, Zhuoran & Chen, Fawei & Yu, Chang, 2025. "The impact of carbon emissions trading policy on green innovation of export enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 88(C), pages 1922-1938.
    9. Dutordoir, Marie & Li, Shuyu & Neto, João Quariguasi Frota, 2025. "When green is no longer a win - new evidence on the shareholder value effects of green bond offerings11The authors would like to thank Konstantinos Bozos, Samit Gupta, Antony Potter, Hai-Anh Tran, and participants at the 2023 British Academy of Manag," International Review of Financial Analysis, Elsevier, vol. 107(C).
    10. Yang, Chen & Hu, Zongyi, 2026. "Data element resource supply and enterprise green innovation quality," International Review of Financial Analysis, Elsevier, vol. 109(C).
    11. Choudhary, Shamsher & Ali, Amjad & Audi, Marc, 2026. "The Relations between Internal Controls, Corporate Governance, and the Credibility of Post-Issuance Disclosures of Green Finance: Evidence using Issuer-Level Panel Data," MPRA Paper 128864, University Library of Munich, Germany.
    12. Chengyu Li & Dayong Lv & Qingsong Ruan & Xiaokun Wei, 2025. "Green Bond Investment, Redemption Risk, and Fund Performance: Evidence From Chinese Bond Mutual Funds," International Review of Finance, International Review of Finance Ltd., vol. 25(4), December.

  3. Ruan, Qingsong & Lv, Dayong & Wei, Xiaokun, 2024. "High-speed rail and local government financing cost: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).

    Cited by:

    1. Lv, Dayong & Ye, Qi & Jiang, Yan & Wei, Xiaokun, 2025. "Enhanced judicial independence and bond credit spreads: Evidence from the establishment of circuit courts," Research in International Business and Finance, Elsevier, vol. 79(C).

  4. Qingsong Ruan & Jiarui Zhang & Dayong Lv, 2024. "Forecasting exchange rate volatility: is economic policy uncertainty better?," Applied Economics, Taylor & Francis Journals, vol. 56(13), pages 1526-1544, March.

    Cited by:

    1. Yang, Lu, 2025. "Economic policy uncertainty and foreign exchange market implied volatility: A complex partial wavelet coherence approach," Journal of International Money and Finance, Elsevier, vol. 156(C).
    2. Hongcheng Ding & Xuanze Zhao & Ruiting Deng & Shamsul Nahar Abdullah & Deshinta Arrova Dewi, 2024. "EUR-USD Exchange Rate Forecasting Based on Information Fusion with Large Language Models and Deep Learning Methods," Papers 2408.13214, arXiv.org, revised Jun 2025.
    3. Wang, Jie & Hu, Jiukai & Yu, Bo, 2025. "Risk spillover effects among Chinese policy, economy and financial markets: Evidence from mixed-frequency data," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 2263-2277.
    4. Wang, Tianxiang & Huo, Peiyun, 2026. "Can trade policy uncertainty facilitate industrial chain localization?," Finance Research Letters, Elsevier, vol. 87(C).

  5. Xue Ding & Mengling Qin & Linsen Yin & Dayong Lv & Yao Bai, 2023. "Research on FinTech Talent Evaluation Index System and Recruitment Strategy: Evidence From Shanghai in China," SAGE Open, , vol. 13(4), pages 21582440231, November.

    Cited by:

    1. Zhang, Yujin & Ye, Shujun & Liu, Jie & Zhang, Lulu & Li, Jiayi, 2025. "Can digital transformation of commercial banks reduce green credit risks?," International Review of Financial Analysis, Elsevier, vol. 99(C).

  6. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

    Cited by:

    1. Jiang, Wei & Jiang, Nana & Wang, Ke-Liang, 2025. "The local effects and neighborhood effects of high-speed railway on urban entrepreneurial vitality: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    2. Chen, Yu & Zhao, Changyi & Chen, Shan & Chen, Wenqing & Wan, Kunyang & Wei, Jia, 2023. "Riding the green rails: Exploring the nexus between high-speed trains, green innovation, and carbon emissions," Energy, Elsevier, vol. 282(C).
    3. Ruan, Qingsong & Lv, Dayong & Wei, Xiaokun, 2024. "High-speed rail and local government financing cost: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).
    4. Yan Jiang & Lun Yang & Xiaokun Wei & Xiaodong Zhang, 2024. "The Impact of Government Digital Transformation on Land Use Efficiency: Evidence from China," Land, MDPI, vol. 13(12), pages 1-26, December.
    5. Li, Zhaohua & Pang, Suqin & Zhu, Zhiyun, 2024. "The impact of pilot free trade zones on entrepreneurship: Evidence from a quasi-natural experiment in China," Socio-Economic Planning Sciences, Elsevier, vol. 92(C).

  7. Yaping Zhou & Xundi Diao & Dayong Lv, 2023. "Role of OTC options in stock price efficiency: Evidence from the Chinese market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4629-4655, December.

    Cited by:

    1. Gebka, Bartosz & Jin, Han & Kallinterakis, Vasileios & Karaa, Rabaa & Slim, Skander, 2026. "Herding and informed trading: Evidence from Chinese equity markets," Journal of Economic Behavior & Organization, Elsevier, vol. 241(C).

  8. Zhu, Minchen & Lv, Dayong & Wu, Wenfeng, 2022. "Market stabilization fund and stock price crash risk: Evidence from the post-crash period," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).

    Cited by:

    1. Li, Peiran & Yuan, Xianghui & Jin, Liwei & Yuan, Jin, 2024. "Pay inequality for stability? Investment preference of the national team intervention in Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    2. Liu, Xiao & Zhang, Yabin & Wang, Zhenguo & Rao, Qiao & Yang, Mengmeng, 2026. "Does innovative monetary policy drive stock market performance? Evidence from SFISF in China," Economic Analysis and Policy, Elsevier, vol. 91(C), pages 1626-1652.
    3. Yang, Zheng & Yang, Xingquan & Ren, Xiaoyi, 2025. "The supply chain financing role of government's stock purchase rescue policy: Stock market stabilization funds and trade credit financing of Chinese listed firms," Pacific-Basin Finance Journal, Elsevier, vol. 90(C).
    4. Pang, Xiaochuan & Zhu, Shushang & Cui, Xueting & Ma, Jiali, 2023. "Systemic risk of optioned portfolio: Controllability and optimization," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    5. Wang, Qi & Wang, Sipeng, 2025. "Equity ETFs, corporate governance and stock price crash risk," Finance Research Letters, Elsevier, vol. 83(C).

  9. Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong & Wu, Youyi, 2022. "Transportation infrastructure and bond issuance credit spread: Evidence from the Chinese high-speed rail construction," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 30-47.

    Cited by:

    1. Lu, Xiao & Zhou, Ze-Jia & Feng, Chenchen, 2025. "Exploration of credit spreads and information disclosure quality of corporate bonds under economic policy uncertainty," Finance Research Letters, Elsevier, vol. 82(C).
    2. Zhu, Ruoyu & Tan, Kehu & Xin, Xiaohui, 2024. "Does the opening of high-speed rail inhibit corporate zombification?," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 372-389.
    3. Ruan, Qingsong & Lv, Dayong & Wei, Xiaokun, 2024. "High-speed rail and local government financing cost: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).
    4. Yan, Xintong & Xiao, Daibo & Chan, Hokai & Zeng, Guoxiong & Wei, Renxing, 2025. "Impact of high-speed rail operation, ESG performance, and financial performance of listed tourism companies," Finance Research Letters, Elsevier, vol. 77(C).
    5. Lihua Zhang & Tian Gan & Jiachen Fan, 2023. "Do industrial robots affect the labour market? Evidence from China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 31(3), pages 787-817, July.
    6. Liu, Mengsha & Jiang, Yan & Wei, Xiaokun & Ruan, Qingsong & Lv, Dayong, 2023. "Effect of high-speed rail on entrepreneurial activities: Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    7. Wei, Xiaokun & Jiang, Yan & Gan, Tian & Zou, Honghui, 2025. "One click into capital: The impact of digital government on venture capital," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    8. Gan, Tian & Jiang, Yan & Wu, Xi & Zhang, Mingxin, 2023. "Oil price uncertainty and the cost of debt: Evidence from the Chinese bond market," Journal of Asian Economics, Elsevier, vol. 87(C).
    9. Du, Kunkai & Liu, Jun & Wang, Kunlun & Zhao, Qicheng, 2025. "Enterprise digital transformation and bond credit spreads: From the perspective of risk premium," Economic Analysis and Policy, Elsevier, vol. 88(C), pages 2079-2097.
    10. Lara-Galera, Antonio & de Albornoz, Vicente Alcaraz-Carrillo & Molina-Millán, Juan & Muñoz-Medina, Belén, 2025. "Spread valuation and risk on transport infrastructure loans," Economics of Transportation, Elsevier, vol. 41(C).
    11. Zheng, Lei & Liu, Ying, 2025. "Digital economy, agricultural loans, and urban–rural income gap," Finance Research Letters, Elsevier, vol. 77(C).
    12. Yu, Qianlong & Chen, Dandan & Wang, Xiaoping & Peng, Weilai, 2024. "The impact of penalty interest provisions on the issuance costs of perpetual bonds," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 935-943.
    13. Yang, Xiaotong & Zhang, Yuan & Zhu, Bing & Shen, Liding, 2025. "Does distance matter? Geographic proximity to EPBs and corporate environmental investment: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 92(C).
    14. Lv, Dayong & Ye, Qi & Jiang, Yan & Wei, Xiaokun, 2025. "Enhanced judicial independence and bond credit spreads: Evidence from the establishment of circuit courts," Research in International Business and Finance, Elsevier, vol. 79(C).
    15. Guo, Hongling & Wan, Guochao & Wu, Xilinan & Song, Xueqian, 2025. "Network effects of high-speed railways on corporate bond yield spreads: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 105(C).

  10. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).

    Cited by:

    1. Pengbo Wan & Ghulam Mujtaba & Saira Ashfaq & Song Liangrong & Rana Muhammad Nasir, 2025. "Are rare earth stocks efficient? Novel insights using asymmetric MF-DFA," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-17, December.
    2. Filippo di Pietro & Antonio A. Golpe & Jose Carlos Vides, 2026. "When the Tail Wags the Dog: A Time‐Varying FCVAR Analysis of Bitcoin Market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 46(3), pages 529-544, March.
    3. Shen, Na & Chen, Jiayi, 2023. "Asymmetric multifractal spectrum distribution based on detrending moving average cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
    4. Yang, Zixiu & Fantazzini, Dean, 2022. "Using crypto assets pricing methods to build technical oscillators for short-term bitcoin trading," MPRA Paper 115508, University Library of Munich, Germany.
    5. Hyeonoh Kim & Eojin Yi & Jooyoung Jeon & Taeyoung Park & Kwangwon Ahn, 2024. "After the Split: Market Efficiency of Bitcoin Cash," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 411-427, July.
    6. Esther Cabezas-Rivas & Felipe S'anchez-Coll & Isaac Tormo-Xaixo, 2023. "Chance or Chaos? Fractal geometry aimed to inspect the nature of Bitcoin," Papers 2309.00390, arXiv.org.
    7. Mingnan Li & Viktor Manahov & John Ashton, 2025. "The impact of cryptocurrency heists on Bitcoin's market efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2912-2929, July.
    8. Turker Acikgoz, 2026. "The Multifractal Nature of Cross-Correlations between Emerging Market Equities and Financial Assets: An Econophysics Perspective," Computational Economics, Springer;Society for Computational Economics, vol. 67(5), pages 3607-3634, May.
    9. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.

  11. Cao, Zhiqi & Lv, Dayong & Sun, Zhenzhen, 2021. "Stock price manipulation, short-sale constraints, and breadth-return relationship," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).

    Cited by:

    1. Yi, Shangkun & Wang, Jian & Wang, Xiaoting & Feng, Hongrui, 2022. "CEO political connection and stock sentiment beta: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    2. Can Huang & Yuqiang Cao & Meiting Lu & Yaowen Shan & Yizhou Zhang, 2023. "Messages in online stock forums and stock price synchronicity: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(3), pages 3011-3041, September.
    3. Gao, Shenghao & Liu, Jinzhao & Zhang, Qi & Zhou, Jun, 2023. "Stock hyping before auction-style SEOs: Are primary market investors misled?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 123-140.
    4. Li, Zhibing & Liu, Jia & Liu, Jie & Liu, Xiaoyu & Wu, Chonglin, 2025. "Investor attention and stock price manipulation: Evidence from daily quasi-natural experiments," Journal of Banking & Finance, Elsevier, vol. 179(C).
    5. Wang, Zhuo & Wang, Ziyue & Wu, Ke, 2023. "The role of anchoring on investors’ gambling preference: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    6. Liping Li & Qisheng Chen & Ximeng Jia & Jin Chen & Enrique Herrera-Viedma, 2024. "The collusion behavior of venture capitalists and entrepreneurs based on “guanxi”: evidence from China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.

  12. Ruan, Qingsong & Zhou, Mi & Yin, Linsen & Lv, Dayong, 2021. "Hedging effectiveness of Chinese Treasury bond futures: New evidence based on nonlinear analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).

    Cited by:

    1. Congxiao Chen & Wenya Chen & Li Shang & Haiqiao Wang & Decai Tang & David D. Lansana, 2024. "Price discovery and volatility spillovers in the interest rate derivatives market," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    2. Naeem, Muhammad Abubakr & Farid, Saqib & Ferrer, Román & Shahzad, Syed Jawad Hussain, 2021. "Comparative efficiency of green and conventional bonds pre- and during COVID-19: An asymmetric multifractal detrended fluctuation analysis," Energy Policy, Elsevier, vol. 153(C).

  13. Dayong Lv & Wenfeng Wu, 2020. "Margin trading and price efficiency: information content or price‐adjustment speed?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2889-2918, September.

    Cited by:

    1. Fan, Yi & Gao, Yang, 2024. "Short selling, informational efficiency, and extreme stock price adjustment," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1009-1028.
    2. Chen, Xinxin & Guo, Yanhong & Song, Yingying, 2024. "Multiple time scales investor sentiment impact the stock market index fluctuation: From margin trading business perspective," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    3. Yaping Zhou & Xundi Diao & Dayong Lv, 2023. "Role of OTC options in stock price efficiency: Evidence from the Chinese market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4629-4655, December.

  14. Ruan, Qingsong & Wang, Zilin & Zhou, Yaping & Lv, Dayong, 2020. "A new investor sentiment indicator (ISI) based on artificial intelligence: A powerful return predictor in China," Economic Modelling, Elsevier, vol. 88(C), pages 47-58.

    Cited by:

    1. Zhe Jiang & Yunguo Lu & Lin Zhang, 2025. "Integrating sentiment information for risk prediction: the case of crude oil futures market in China," Empirical Economics, Springer, vol. 68(4), pages 1677-1718, April.
    2. Huynh, Nhan & De Mello, Lurion & Li, Kai, 2025. "Evolution of investor sentiment: A systematic literature review and bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 100(C).
    3. Wu, Zhang & Cheng, Michael & Ng, Philip & Wang, Yixuan, 2025. "A generative artificial intelligence approach to tracking Chinese Mainland's housing market sentiment using social media data," China Economic Review, Elsevier, vol. 94(PC).
    4. Gaies, Brahim & Nakhli, Mohamed Sahbi & Ayadi, Rim & Sahut, Jean-Michel, 2022. "Exploring the causal links between investor sentiment and financial instability: A dynamic macro-financial analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 290-303.
    5. Chen, Chuanglian & Wang, Shudan & Yao, Shujie & Lin, Yuting, 2023. "Does digital transformation increase the labor income share? From a perspective of resources reallocation," Economic Modelling, Elsevier, vol. 128(C).
    6. Larissa Batrancea, 2021. "Empirical Evidence Regarding the Impact of Economic Growth and Inflation on Economic Sentiment and Household Consumption," JRFM, MDPI, vol. 14(7), pages 1-16, July.
    7. Zhao, Xia & Hu, Qing & Song, Yuping & Huang, Jiefei, 2025. "Systemic risk spillovers incorporating investor sentiment: Evidence from an improved TENET analysis," Economic Modelling, Elsevier, vol. 151(C).
    8. Zhao, Shuping & Xu, Kai & Wang, Zhao & Liang, Changyong & Lu, Wenxing & Chen, Bo, 2022. "Financial distress prediction by combining sentiment tone features," Economic Modelling, Elsevier, vol. 106(C).
    9. Yuan Li & Yu Zhang, 2021. "Investor Sentiment, Idiosyncratic Risk, and Stock Price Premium: Evidence From Chinese Cross-Listed Companies," SAGE Open, , vol. 11(2), pages 21582440211, June.
    10. Dai, Zhifeng & Zhu, Junxin & Zhang, Xinhua, 2022. "Time-frequency connectedness and cross-quantile dependence between crude oil, Chinese commodity market, stock market and investor sentiment," Energy Economics, Elsevier, vol. 114(C).
    11. Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
    12. Song, Ziyu & Yu, Changrui, 2022. "Investor sentiment indices based on k-step PLS algorithm: A group of powerful predictors of stock market returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
    13. Wen, Fenghua & Zou, Qian & Wang, Xiong, 2021. "The contrarian strategy of institutional investors in Chinese stock market," Finance Research Letters, Elsevier, vol. 41(C).
    14. Karam KIM & Doojin RYU, 2020. "Predictive ability of investor sentiment for the stock market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 33-46, December.
    15. Lei, Shuyan & zheng, Luman, 2025. "Green investors and stock price volatility in tourism enterprises: A perspective on information disclosure quality," International Review of Economics & Finance, Elsevier, vol. 102(C).
    16. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    17. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    18. Jiang, Zhe & Zhang, Lin & Zhang, Lingling & Wen, Bo, 2022. "Investor sentiment and machine learning: Predicting the price of China's crude oil futures market," Energy, Elsevier, vol. 247(C).
    19. Rameeza Andleeb & Arshad Hassan, 2023. "Impact of Investor Sentiment on Contemporaneous and Future Equity Returns in Emerging Markets," SAGE Open, , vol. 13(3), pages 21582440231, August.
    20. Jinjuan Yang & Jiayuan Xin & Yan Zeng & Pei Jose Liu, 2025. "Signaling and perceiving on equity crowdfunding decisions — a machine learning approach," Small Business Economics, Springer, vol. 65(1), pages 315-356, June.

  15. Dayong Lv & Wenfeng Wu, 2019. "Are margin traders informed?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(5), pages 3105-3131, December.

    Cited by:

    1. Chen, Xinxin & Guo, Yanhong & Song, Yingying, 2024. "Multiple time scales investor sentiment impact the stock market index fluctuation: From margin trading business perspective," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    2. Yaping Zhou & Xundi Diao & Dayong Lv, 2023. "Role of OTC options in stock price efficiency: Evidence from the Chinese market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4629-4655, December.
    3. Hai Lin & Pengfei Liu & Cheng Zhang, 2025. "Information, sentiment, and margin trading of Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(1), pages 81-108, March.

  16. Lv, Dayong & Wu, Wenfeng, 2019. "Margin-trading volatility and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 179-196.

    Cited by:

    1. Sui, Cong & Chen, Nan & Yang, Mo, 2023. "Not all market participants are alike when facing crisis: Evidence from the 2015 Chinese stock market turbulence," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    2. Wang, Linyu & Ji, Yifan & Ni, Zhongxin, 2023. "Spillover of stock price crash risk: Do environmental, social and governance (ESG) matter?," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Zhu, Minchen & Lv, Dayong & Wu, Wenfeng, 2022. "Market stabilization fund and stock price crash risk: Evidence from the post-crash period," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    4. Fan, Ruixin & Xiong, Xiong & Gao, Ya, 2021. "Can the probability of extreme returns be the basis for profitable portfolios? Evidence from China," International Review of Financial Analysis, Elsevier, vol. 76(C).
    5. Yang, Bowen & Wu, Wenfeng & Yang, Jibin, 2025. "City doing-business environment and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    6. Irfan Safdar & Michael Neel & Babatunde Odusami, 2022. "Accounting information and left-tail risk," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1709-1740, May.
    7. Jia, Haibo & Zhu, Ying & Chen, Xiaodan, 2024. "Stock Repurchase and Stock Price Crash Risk," Finance Research Letters, Elsevier, vol. 60(C).
    8. Yanxi Li & Siu Kai Choy & Mingzhu Wang, 2022. "The potential built‐in supply effect from margin trading in the Chinese stock market," The Financial Review, Eastern Finance Association, vol. 57(4), pages 835-861, November.
    9. Hai Lin & Pengfei Liu & Cheng Zhang, 2025. "Information, sentiment, and margin trading of Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 65(1), pages 81-108, March.

  17. Ruan, Qingsong & Yang, Haiquan & Lv, Dayong & Zhang, Shuhua, 2018. "Cross-correlations between individual investor sentiment and Chinese stock market return: New perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 243-256.

    Cited by:

    1. Shuhong Wang & Xiaojing Yi & Malin Song, 2023. "The interrelationship of air quality, investor sentiment, and stock market liquidity: a review of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(10), pages 10955-10973, October.
    2. Guo, Peng & Shi, Jing, 2024. "Geopolitical risks, investor sentiment and industry stock market volatility in China: Evidence from a quantile regression approach," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Jian Wang & Wenjing Jiang & Menghao Huang & Wei Shao, 2025. "Cross-Correlation Analysis of Crude Oil-Related Stock Markets in China Caused by the Conflict Between Russia and Ukraine," Computational Economics, Springer;Society for Computational Economics, vol. 65(3), pages 1299-1317, March.
    4. Iqbal, Javid & Saeed, Abubakr, 2023. "Managerial sentiments, non-performing loans, and banks financial performance: A causal mediation approach," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    5. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and stock return: Evidence from US," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    6. Alhonita Yatie, 2022. "Failure of Gold, Bitcoin and Ethereum as safe havens during the Ukraine-Russia war," Working Papers hal-03625196, HAL.
    7. Chow, Sheung Chi & Vieito, João Paulo & Wong, Wing-Keung, 2018. "Do both demand-following and supply-leading theories hold true in developing countries?," MPRA Paper 87641, University Library of Munich, Germany.
    8. Zhou, Yaping & Lu, Baoqun & Lv, Dayong & Ruan, Qingsong, 2019. "The informativeness of options-trading activities: Non-linear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    9. Wang, Jian & Shao, Wei & Kim, Junseok, 2020. "Multifractal detrended cross-correlation analysis between respiratory diseases and haze in South Korea," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    10. Telli, Şahin & Chen, Hongzhuan, 2021. "Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    11. Whelsy Boungou & Alhonita Yatié, 2024. "Uncertainty, stock and commodity prices during the Ukraine-Russia war ," Post-Print hal-04746052, HAL.
    12. Alhonita YATIE, 2022. "Failure of Gold, Bitcoin and Ethereum as safe havens during the Ukraine-Russia war," Bordeaux Economics Working Papers 2022-07, Bordeaux School of Economics (BSE).
    13. Ning Wang & Shanhui Ke & Yibo Chen & Tao Yan & Andrew Lim, 2019. "Textual Sentiment of Chinese Microblog Toward the Stock Market," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 649-671, March.

  18. Ruan, Qingsong & Zhang, Manqian & Lv, Dayong & Yang, Haiquan, 2018. "SAD and stock returns revisited: Nonlinear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1009-1022.

    Cited by:

    1. Vogl, Markus & Kojić, Milena, 2024. "Green cryptocurrencies versus sustainable investments dynamics: Exploration of multifractal multiscale analysis, multifractal detrended cross-correlations and nonlinear Granger causality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 653(C).
    2. Cai, Guixin & Zhang, Hao & Chen, Ziyue, 2019. "Comovement between commodity sectors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1247-1258.
    3. Xingyue Gong & Guozhu Jia, 2025. "The Impact of Financial Stress on New Energy Vehicles Industry from Cross-correlation to Explainable Machine Learning: Proof from China," Computational Economics, Springer;Society for Computational Economics, vol. 65(6), pages 3723-3749, June.
    4. Li, Shuping & Lu, Xinsheng & Liu, Xinghua, 2020. "Dynamic relationship between Chinese RMB exchange rate index and market anxiety: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    5. Zhou, Yaping & Lu, Baoqun & Lv, Dayong & Ruan, Qingsong, 2019. "The informativeness of options-trading activities: Non-linear analysis based on MF-DCCA and Granger test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    6. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
    7. Wang, Jian & Shao, Wei & Ma, Chenmin & Chen, Wenbing & Kim, Junseok, 2021. "Co-movements between Shanghai Composite Index and some fund sectors in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    8. Pan, Yueling & Hou, Lei & Pan, Xue, 2022. "Interplay between stock trading volume, policy, and investor sentiment: A multifractal approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
    9. Zhu, Pengfei & Tang, Yong & Wei, Yu & Dai, Yimin, 2019. "Portfolio strategy of International crude oil markets: A study based on multiwavelet denoising-integration MF-DCCA method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    10. Belhoula, Mohamed Malek & Mensi, Walid & Al-Yahyaee, Khamis Hamed, 2024. "Dynamic speculation and efficiency in European natural gas markets during the COVID-19 and Russia-Ukraine crises," Resources Policy, Elsevier, vol. 98(C).

  19. Dayong Lv & Qingsong Ruan, 2018. "Asymmetric effect of margin-trading activities on price crashes: evidence from Chinese stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 25(13), pages 900-904, July.

    Cited by:

    1. Yanxi Li & Siu Kai Choy & Mingzhu Wang, 2022. "The potential built‐in supply effect from margin trading in the Chinese stock market," The Financial Review, Eastern Finance Association, vol. 57(4), pages 835-861, November.

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