Lv Dayong, Sr.

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)

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. 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).
   2. 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).
   3. 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. 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.
   2. 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).
   3. 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. 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.
   2. 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).
   3. 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.

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.

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. 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).

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.
       • Chow, Sheung Chi & Vieito, João Paulo & Wong, Wing Keung, 2019. "Do both demand-following and supply-leading theories hold true in developing countries?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 536-554.
    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. 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. 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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