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Lv Dayong, Sr.

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Personal Details

First Name:Dayong
Middle Name:
Last Name:Lv
Suffix:Sr.
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. 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).
  2. 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.
  3. 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.
  4. 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).
  5. 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).
  6. 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).
  7. 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.
  8. 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.
  9. 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).
  10. 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.
  11. Lv, Dayong & Wu, Wenfeng, 2019. "Margin-trading volatility and stock price crash risk," Pacific-Basin Finance Journal, Elsevier, vol. 56(C), pages 179-196.
  12. 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.
  13. 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.
  14. 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.

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. 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. 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).

  2. 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. 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.
    2. 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).
    3. 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.
    4. 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).
    5. Ruan, Qingsong & Lv, Dayong & Wei, Xiaokun, 2024. "High-speed rail and local government financing cost: Evidence from China," Economic Modelling, Elsevier, vol. 131(C).
    6. 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.

  3. 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. 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.
    2. 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.
    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.

  4. 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. 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.
    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. 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," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
    4. 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).
    5. 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).

  5. 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. 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).

  6. 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. 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.
    2. 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.
    3. 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).

  7. 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. 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).
    2. 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.
    3. Wen, Fenghua & Zou, Qian & Wang, Xiong, 2021. "The contrarian strategy of institutional investors in Chinese stock market," Finance Research Letters, Elsevier, vol. 41(C).
    4. 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).
    5. 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.
    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, 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).
    8. 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.
    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. 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).
    11. Li, Yan & Li, Weiping, 2021. "Firm-specific investor sentiment for the Chinese stock market," Economic Modelling, Elsevier, vol. 97(C), pages 231-246.
    12. 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).
    13. 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.
    14. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).

  8. 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. 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.
    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).

  9. 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. 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.
    2. 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.
    3. 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).
    4. 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).
    5. Jia, Haibo & Zhu, Ying & Chen, Xiaodan, 2024. "Stock Repurchase and Stock Price Crash Risk," Finance Research Letters, Elsevier, vol. 60(C).
    6. 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).
    7. 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).

  10. 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.

  11. 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. 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).
    2. 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).
    3. Alhonita Yatie, 2022. "Failure of Gold, Bitcoin and Ethereum as safe havens during the Ukraine-Russia war," Working Papers hal-03625196, HAL.
    4. 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.
    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-03617040, HAL.
    7. Telli, Şahin & Chen, Hongzhuan, 2021. "Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    8. 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).
    9. 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).
    10. 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.

  12. 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. 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).
    2. 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).
    3. 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.
    4. 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).
    5. 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).
    6. 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).
    7. 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).

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