Qingliang (Michael) Fan

Personal Details

First Name:	Qingliang (Michael)
Middle Name:
Last Name:	Fan
Suffix:
RePEc Short-ID:	pfa489
	[This author has chosen not to make the email address public]
	http://michaelqfan.weebly.com

Affiliation

Department of Economics
Chinese University of Hong Kong

Shatin, Hong Kong
http://www.cuhk.edu.hk/eco/
RePEc:edi:decuhhk (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.

Working papers

1. Bao, Xiaojia & Fan, Qingliang, 2018. "The impact of temperature on gaming productivity: evidence from online games," IRTG 1792 Discussion Papers 2018-053, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   • Xiaojia Bao & Qingliang Fan, 2020. "The impact of temperature on gaming productivity: evidence from online games," Empirical Economics, Springer, vol. 58(2), pages 835-867, February.

   Cited by:

   1. Patel, Pankaj C. & Devaraj, Srikant & Quigley, Narda R. & Oghazi, Pejvak, 2020. "The influence of sunlight on taxi driver productivity," Journal of Business Research, Elsevier, vol. 115(C), pages 456-468.
   2. Yatracos, Yannis G., 2018. "Residual'S Influence Index (Rinfin), Bad Leverage And Unmasking In High Dimensional L2-Regression," IRTG 1792 Discussion Papers 2018-060, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

2. Fan, Qingliang & Zhong, Wei, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," IRTG 1792 Discussion Papers 2018-052, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   • Qingliang Fan & Wei Zhong, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 388-399, July.

   Cited by:

   1. Caner, Mehmet & Fan, Qingliang & Grennes, Thomas, 2021. "Partners in debt: An endogenous non-linear analysis of the effects of public and private debt on growth," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 694-711.
   2. Gold, David & Lederer, Johannes & Tao, Jing, 2020. "Inference for high-dimensional instrumental variables regression," Journal of Econometrics, Elsevier, vol. 217(1), pages 79-111.
   3. Zhong, Wei & Gao, Yang & Zhou, Wei & Fan, Qingliang, 2021. "Endogenous treatment effect estimation using high-dimensional instruments and double selection," Statistics & Probability Letters, Elsevier, vol. 169(C).
   4. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised Mar 2023.
   5. Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.
   6. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
   7. Kaixu Yang & Tapabrata Maiti, 2022. "Ultrahigh‐dimensional generalized additive model: Unified theory and methods," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(3), pages 917-942, September.
   8. Nasekin, Sergey & Chen, Cathy Yi-Hsuan, 2018. "Deep learning-based cryptocurrency sentiment construction," IRTG 1792 Discussion Papers 2018-066, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   9. Qinqin Hu & Lu Lin, 2022. "Feature Screening in High Dimensional Regression with Endogenous Covariates," Computational Economics, Springer;Society for Computational Economics, vol. 60(3), pages 949-969, October.

Articles

1. Caner, Mehmet & Fan, Qingliang & Grennes, Thomas, 2021. "Partners in debt: An endogenous non-linear analysis of the effects of public and private debt on growth," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 694-711.

   Cited by:

   1. Xiangfa Li & Zhe Zhang & Weixian Xue & Hua Wang, 2022. "The Effects of Household Debt and Oil Price Shocks on Economic Growth in the Shadow of the Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-16, November.

2. Chen, Yangyang & Fan, Qingliang & Yang, Xin & Zolotoy, Leon, 2021. "CEO early-life disaster experience and stock price crash risk," Journal of Corporate Finance, Elsevier, vol. 68(C).

   Cited by:

   1. Nebojsa Dimic & Veda Fatmy & Sami Vähämaa, 2024. "Religiosity and corporate social responsibility: A study of firm‐level adherence to Christian values in the United States," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 31(1), pages 396-413, January.
   2. Bilal Hafeez & M. Humayun Kabir & Udomsak Wongchoti, 2022. "Are retail investors really passive? Shareholder activism in the digital age," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(3-4), pages 423-460, March.
   3. Qiao, Lu & Adegbite, Emmanuel & Nguyen, Tam Huy, 2022. "Chief financial officer overconfidence and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 84(C).
   4. Xing, Jieli & Zhang, Yongjie & Xiong, Xiong, 2023. "Social capital, independent director connectedness, and stock price crash risk," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 786-804.
   5. Akter, Maimuna & Cumming, Douglas & Ji, Shan, 2023. "Natural disasters and market manipulation," Journal of Banking & Finance, Elsevier, vol. 153(C).
   6. Yeoh, Siew-Boey & Hooy, Chee-Wooi, 2022. "Generation effects and managerial risk taking," Journal of Business Research, Elsevier, vol. 139(C), pages 918-934.
   7. Richardson, Grant & Obaydin, Ivan & Liu, Chelsea, 2022. "The effect of accounting fraud on future stock price crash risk," Economic Modelling, Elsevier, vol. 117(C).
   8. Xiao, Jihong & Chen, Xian & Li, Yang & Wen, Fenghua, 2022. "Oil price uncertainty and stock price crash risk: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
   9. Hasan, Mostafa Monzur & Lobo, Gerald J. & Qiu, Buhui, 2021. "Organizational capital, corporate tax avoidance, and firm value," Journal of Corporate Finance, Elsevier, vol. 70(C).
   10. Shen, Zhe & Sowah, Joseph Sowahfio & Dak-Adzaklo, Cephas Simon Peter & Li, Shan, 2023. "Competition laws and corporate risk-taking around the world," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
   11. Wu, Keping & Fu, Yumei & Kong, Dongmin, 2022. "Does the digital transformation of enterprises affect stock price crash risk?," Finance Research Letters, Elsevier, vol. 48(C).
   12. Kong, Dongmin & Piao, Yin & Zhang, Wenzhe & Liu, Chenhao & Zhao, Ying, 2023. "Trust and corporate social responsibility: Evidence from CEO’s early experience," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 585-596.
   13. Mostafa Monzur Hasan & Grantley Taylor & Grant Richardson, 2022. "Brand Capital and Stock Price Crash Risk," Management Science, INFORMS, vol. 68(10), pages 7221-7247, October.
   14. Maisam Ali & Christopher Gan & Muhammad Nadeem, 2023. "A CEO's expertise power and bank diversification," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 3815-3840, December.
   15. Zhang, Xiaotao & Wang, Ziqiao & Hao, Jing & Liu, Jiubiao, 2022. "Stock market entry timing and retail investors' disposition effect," International Review of Financial Analysis, Elsevier, vol. 82(C).
   16. Sun, Lingxia, 2023. "Ultimate government control and stock price crash risk: Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
   17. Bing Wang & Kung‐Cheng Ho & Xinyu Liu & Yan Gu, 2022. "Industry cash flow volatility and stock price crash risk," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(2), pages 356-371, March.
   18. Li, Jie & An, Yahui & Wang, Lidan & Zhang, Yongjie, 2022. "Combating the COVID-19 pandemic: The role of disaster experience," Research in International Business and Finance, Elsevier, vol. 60(C).
   19. Chen, Xiangpo & Hu, Xinyan & Xu, Jinhai, 2023. "When winter is over, its cold remains: Early-life famine experience breeds risk aversion," Economic Modelling, Elsevier, vol. 123(C).
   20. Gu, Leilei & Liu, Zhongyang & Xu, Danyang, 2023. "The risk-mitigating role of corporate social responsibility in Chinese listed heavy-polluting companies: An extreme event experience perspective," Energy Economics, Elsevier, vol. 125(C).
   21. Daewoung Choi & Hyunju Shin & Kyoungmi Kim, 2023. "CEO’s Childhood Experience of Natural Disaster and CSR Activities," Journal of Business Ethics, Springer, vol. 188(2), pages 281-306, November.
   22. Dong, Zhiqiang & Guo, Yuchen & Zhao, Jun, 2022. "How people respond to risk after being exposed to the risk of loss: An experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
   23. Mahdi Salehi & Grzegorz Zimon & Hayder Adnan Hashim & Ryszard Jędrzejczak & Adam Sadowski, 2022. "Accounting Quality and Audit Attributes on the Stock Price Crashes in an Emerging Market," Risks, MDPI, vol. 10(10), pages 1-24, October.
   24. Li, Donghui & Xing, Lu & Zhao, Yang, 2022. "Does extended auditor disclosure deter managerial bad-news hoarding? Evidence from crash risk," Journal of Corporate Finance, Elsevier, vol. 76(C).
   25. Cui, Xin & Sun, Mengyue & Sensoy, Ahmet & Wang, Panpan & Wang, Yaqi, 2022. "Top executives’ great famine experience and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 59(C).
   26. Wang, Liang & Wang, Qikai & Jiang, Fan, 2023. "Booster or stabilizer? Economic policy uncertainty: New firm-specific measurement and impacts on stock price crash risk," Finance Research Letters, Elsevier, vol. 51(C).
   27. Luo, Deming & Yao, Zhongwei & Zhu, Yanjian, 2022. "Bubble-crash experience and investment styles of mutual fund managers," Journal of Corporate Finance, Elsevier, vol. 76(C).

3. Liu, Keqing & Fan, Qingliang, 2021. "Credit expansion, bank liberalization, and structural change in bank asset accounts," Journal of Economic Dynamics and Control, Elsevier, vol. 124(C).

   Cited by:

   1. Caner, Mehmet & Fan, Qingliang & Grennes, Thomas, 2021. "Partners in debt: An endogenous non-linear analysis of the effects of public and private debt on growth," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 694-711.
   2. Xiangfa Li & Zhe Zhang & Weixian Xue & Hua Wang, 2022. "The Effects of Household Debt and Oil Price Shocks on Economic Growth in the Shadow of the Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
   3. Changjun Zheng & Sinamenye Jean-Petit, 2023. "The Effects of the Interactions Between Agro-Production, Economic, and Financial Development on Bank Sustainability," SAGE Open, , vol. 13(2), pages 21582440231, June.
   4. Michal Franta, 2023. "The Application of Multiple-Output Quantile Regression on the US Financial Cycle," Working Papers 2023/2, Czech National Bank.

4. Xiaojia Bao & Qingliang Fan, 2020. "The impact of temperature on gaming productivity: evidence from online games," Empirical Economics, Springer, vol. 58(2), pages 835-867, February.
   • Bao, Xiaojia & Fan, Qingliang, 2018. "The impact of temperature on gaming productivity: evidence from online games," IRTG 1792 Discussion Papers 2018-053, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   See citations under working paper version above.
5. Fan, Qingliang & Han, Xiao & Pan, Guangming & Jiang, Bibo, 2020. "Large System Of Seemingly Unrelated Regressions: A Penalized Quasi-Maximum Likelihood Estimation Perspective," Econometric Theory, Cambridge University Press, vol. 36(3), pages 526-558, June.

   Cited by:

   1. Lee, Kiryoung & Joen, Yoontae & Kim, Minki, 2022. "Which uncertainty measures matter for the cross-section of stock returns?#," Finance Research Letters, Elsevier, vol. 46(PB).

6. Fan, Qingliang & Wang, Ting, 2018. "Game day effect on stock market: Evidence from four major sports leagues in US," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 9-18.

   Cited by:

   1. Jyh-How Huang & Yu-Chia Hsu, 2021. "A Multidisciplinary Perspective on Publicly Available Sports Data in the Era of Big Data: A Scoping Review of the Literature on Major League Baseball," SAGE Open, , vol. 11(4), pages 21582440211, November.
   2. Shane D. Sanders, 2024. "Wages, Talent, and Demand for NCAA Sport After the Alston v. NCAA Antitrust Case," Journal of Sports Economics, , vol. 25(2), pages 169-185, February.

7. Tao Chen & Qingliang Fan, 2018. "A functional data approach to model score difference process in professional basketball games," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(1), pages 112-127, January.

   Cited by:

   1. Claus Thorn Ekstrøm & Andreas Kryger Jensen, 2023. "Having a ball: evaluating scoring streaks and game excitement using in-match trend estimation," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 295-311, March.
   2. Song, Kai & Gao, Yiran & Shi, Jian, 2020. "Making real-time predictions for NBA basketball games by combining the historical data and bookmaker’s betting line," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 547(C).
   3. Chen, Yaqing & Dawson, Matthew & Müller, Hans-Georg, 2020. "Rank dynamics for functional data," Computational Statistics & Data Analysis, Elsevier, vol. 149(C).
   4. Jeon, Gyuhyeon & Park, Juyong, 2021. "Characterizing patterns of scoring and ties in competitive sports," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
   5. Song, Kai & Shi, Jian, 2020. "A gamma process based in-play prediction model for National Basketball Association games," European Journal of Operational Research, Elsevier, vol. 283(2), pages 706-713.

8. Qingliang Fan & Wei Zhong, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 388-399, July.
   • Fan, Qingliang & Zhong, Wei, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," IRTG 1792 Discussion Papers 2018-052, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
   See citations under working paper version above.
9. Fan, Qingliang & Wang, Ting, 2017. "The impact of Shanghai–Hong Kong Stock Connect policy on A-H share price premium," Finance Research Letters, Elsevier, vol. 21(C), pages 222-227.

   Cited by:

   1. Chong, Terence Tai Leung & Kwok, Stanley, 2019. "The Impact of Shanghai-Hong Kong Stock Connect on the Effectiveness of Price Limits in the Chinese Stock Market," MPRA Paper 92185, University Library of Munich, Germany.
   2. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
   3. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
   4. Zhang, Ping & Sha, Yezhou & Wang, Yu & Wang, Tewei, 2022. "Capital market opening and stock price crash risk – Evidence from the Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
   5. Xuechun Zhang & Ruihui Xu & Xue Liu, 2022. "Premiums between Cross‐listed Shares: Determinants and Assessment of Financial Reform Policy Effectiveness," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(3), pages 75-99, May.
   6. Yang, Liuyong & Wang, Beibei & Luo, Deming, 2022. "Corporate social responsibility in market liberalization: Evidence from Shanghai-Hong Kong Stock Connect," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
   7. Jansen, Maarten & Swinkels, Laurens & Zhou, Weili, 2021. "Anomalies in the China A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
   8. Erli Dan & Jianfei Shen, 2022. "Establishment of Corporate Energy Management Systems and Voluntary Carbon Information Disclosure in Chinese Listed Companies: The Moderating Role of Corporate Leaders’ Low-Carbon Awareness," Sustainability, MDPI, vol. 14(5), pages 1-28, February.
   9. Jun Chen & Alireza Tourani‐Rad & Ju Xiang & Ting Yang, 2021. "Short‐sellers at home and abroad: Their respective roles in the price discovery of cross‐listed firms," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 1013-1038, September.
   10. Yan Meng & Lingyun Xiong & Lijuan Xiao & Min Bai, 2023. "The effect of overseas investors on local market efficiency: evidence from the Shanghai/Shenzhen–Hong Kong Stock Connect," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-32, December.
   11. I-Chun Tsai, 2022. "The connectedness between Hong Kong and China real estate markets: spillover effect and information transmission," Empirical Economics, Springer, vol. 63(1), pages 287-311, July.
   12. Jianqiao Huang & Yunsen Chen & Xin Dai & Xiaoran Ni, 2022. "Stock market liberalisation and corporate cash holdings: evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(S1), pages 1925-1955, April.
   13. Sha, Yezhou & Zhang, Ping & Wang, Yiru & Xu, Yifan, 2022. "Capital market opening and green innovation——Evidence from Shanghai-Hong Kong stock connect and the Shenzhen-Hong Kong stock connect," Energy Economics, Elsevier, vol. 111(C).
   14. Wang, Weishen, 2020. "Shanghai-Hong Kong Stock Exchange Connect Program: A story of two markets and different groups of stocks," Journal of Multinational Financial Management, Elsevier, vol. 55(C).
   15. Donald Lien & Chun-Da Chen, 2020. "B-share discount puzzle in China: a revisit of dual-share firms," Review of Managerial Science, Springer, vol. 14(5), pages 1047-1075, October.
   16. Xiong, Lingyun & Deng, Hui & Xiao, Lijuan, 2021. "Does stock market liberalization mitigate litigation risk? Evidence from Stock Connect in China," Economic Modelling, Elsevier, vol. 102(C).
   17. Xu, Hao & Li, Songsong, 2023. "What impacts foreign capital flows to China's stock markets? Evidence from financial risk spillover networks," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 559-577.
   18. Jia, Qiaoyu & Zhou, Jia'nan, 2021. "The dark side of stock market liberalization: Perspectives from corporate R&D activities in China," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

10. Caner, Mehmet & Fan, Qingliang, 2015. "Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso," Journal of Econometrics, Elsevier, vol. 187(1), pages 256-274.

    Cited by:

    1. Tomohiro Ando & Naoya Sueishi, 2019. "On the Convergence Rate of the SCAD-Penalized Empirical Likelihood Estimator," Econometrics, MDPI, vol. 7(1), pages 1-14, March.
    2. Gold, David & Lederer, Johannes & Tao, Jing, 2020. "Inference for high-dimensional instrumental variables regression," Journal of Econometrics, Elsevier, vol. 217(1), pages 79-111.
    3. Jinyuan Chang & Zhentao Shi & Jia Zhang, 2021. "Culling the herd of moments with penalized empirical likelihood," Papers 2108.03382, arXiv.org, revised May 2022.
    4. Qingliang Fan & Zijian Guo & Ziwei Mei, 2022. "A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates," Papers 2205.00171, arXiv.org, revised Mar 2023.
    5. Zhentao Shi, 2016. "Estimation of Sparse Structural Parameters with Many Endogenous Variables," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1582-1608, December.
    6. Qingliang Fan & Yaqian Wu, 2020. "Endogenous Treatment Effect Estimation with some Invalid and Irrelevant Instruments," Papers 2006.14998, arXiv.org.
    7. Fan, Jianqing & Gong, Wenyan & Zhu, Ziwei, 2019. "Generalized high-dimensional trace regression via nuclear norm regularization," Journal of Econometrics, Elsevier, vol. 212(1), pages 177-202.
    8. Prosper Dovonon & Firmin Doko Tchatoka & Michael Aguessy, 2019. "Relevant moment selection under mixed identification strength," School of Economics and Public Policy Working Papers 2019-04, University of Adelaide, School of Economics and Public Policy.

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