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Yan Liu

Personal Details

First Name:Yan
Middle Name:
Last Name:Liu
Suffix:
RePEc Short-ID:pli1497
[This author has chosen not to make the email address public]
http://www.liuyanecon.com

Affiliation

School of Economics and Management
Wuhan University

Wuhan, China
http://ems.whu.edu.cn/
RePEc:edi:iewhucn (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Yan Liu & Ramon Marimon & Adrien Wicht, 2022. "Making sovereign debt safe with a financial stability fund," Economics Working Papers 1829, Department of Economics and Business, Universitat Pompeu Fabra.
  2. Arpad Abraham & Eva Carceles-Poveda & Yan Liu & Ramon Marimon, 2016. "On the optimal design of a Financial Stability Fund," Department of Economics Working Papers 16-05, Stony Brook University, Department of Economics.

Articles

  1. Liu, Yan & Wu, Guowei & Xiong, Chen, 2024. "Countercyclical central government transfers incentivize local government overborrowing: Theory and evidence," Economic Modelling, Elsevier, vol. 132(C).
  2. Liu, Yan & Marimon, Ramon & Wicht, Adrien, 2023. "Making sovereign debt safe with a financial stability fund," Journal of International Economics, Elsevier, vol. 145(C).
  3. Liu, Yan & Zhao, Xueqing, 2023. "On the factors driving bank lending standards: Global evidence from bank lending surveys," Economics Letters, Elsevier, vol. 233(C).
  4. Ge, Xinyu & Liu, Yan & Zhuang, Jiali, 2023. "Monetary policy uncertainty, market structure and bank risk-taking: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
  5. Ge, Xinyu & Li, Xiao-Lin & Li, Yong & Liu, Yan, 2022. "The driving forces of China's business cycles: Evidence from an estimated DSGE model with housing and banking," China Economic Review, Elsevier, vol. 72(C).
  6. Yan Liu & Tian Xie, 2019. "Machine learning versus econometrics: prediction of box office," Applied Economics Letters, Taylor & Francis Journals, vol. 26(2), pages 124-130, January.
  7. Xinyun Chen & Yan Liu & Tao Zeng, 2017. "Does the T + 1 rule really reduce speculation? Evidence from Chinese Stock Index ETF," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1287-1313, December.

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. Yan Liu & Ramon Marimon & Adrien Wicht, 2022. "Making sovereign debt safe with a financial stability fund," Economics Working Papers 1829, Department of Economics and Business, Universitat Pompeu Fabra.

    Cited by:

    1. Giovanni Callegari & Ramon Marimon & Adrien Wicht & Luca Zavalloni, 2023. "On a Lender of Last Resort with a Central Bank and a Stability Fund," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 106-130, October.

  2. Arpad Abraham & Eva Carceles-Poveda & Yan Liu & Ramon Marimon, 2016. "On the optimal design of a Financial Stability Fund," Department of Economics Working Papers 16-05, Stony Brook University, Department of Economics.

    Cited by:

    1. Giovanni Callegari & Ramon Marimon & Adrien Wicht & Luca Zavalloni, 2023. "On a Lender of Last Resort with a Central Bank and a Stability Fund," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 50, pages 106-130, October.
    2. Alessandro Ferrari & Anna Rogantini Picco, 2016. "International Risk Sharing in the EMU," Working Papers 17, European Stability Mechanism.

Articles

  1. Liu, Yan & Marimon, Ramon & Wicht, Adrien, 2023. "Making sovereign debt safe with a financial stability fund," Journal of International Economics, Elsevier, vol. 145(C).
    See citations under working paper version above.
  2. Ge, Xinyu & Liu, Yan & Zhuang, Jiali, 2023. "Monetary policy uncertainty, market structure and bank risk-taking: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).

    Cited by:

    1. He, Wenjia & He, Wenjing & Xu, Dandan & Yue, Pengpeng, 2023. "Economic volatility, banks’ risk accumulation and systemic risk," Finance Research Letters, Elsevier, vol. 57(C).

  3. Ge, Xinyu & Li, Xiao-Lin & Li, Yong & Liu, Yan, 2022. "The driving forces of China's business cycles: Evidence from an estimated DSGE model with housing and banking," China Economic Review, Elsevier, vol. 72(C).

    Cited by:

    1. Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023. "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, vol. 126(C).
    2. Deng, Qiu Shi & Alvarado, Rafael & Cheng, Fang Nan & Cuesta, Lizeth & Wang, Chun Bao & Pinzón, Stefania, 2023. "Long-run mechanism for house price regulation in China: Real estate tax, monetary policy or macro-prudential policy?," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 174-186.
    3. Mérő, Bence & Borsos, András & Hosszú, Zsuzsanna & Oláh, Zsolt & Vágó, Nikolett, 2023. "A high-resolution, data-driven agent-based model of the housing market," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).

  4. Yan Liu & Tian Xie, 2019. "Machine learning versus econometrics: prediction of box office," Applied Economics Letters, Taylor & Francis Journals, vol. 26(2), pages 124-130, January.

    Cited by:

    1. Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
    2. Andres, Antonio Rodriguez & Otero, Abraham & Amavilah, Voxi Heinrich, 2021. "Evaluation of technology clubs by clustering: A cautionary note," MPRA Paper 109138, University Library of Munich, Germany.
    3. Joshua Eklund & Jong-Min Kim, 2022. "Examining Factors That Affect Movie Gross Using Gaussian Copula Marginal Regression," Forecasting, MDPI, vol. 4(3), pages 1-14, July.
    4. Jong-Min Kim & Leixin Xia & Iksuk Kim & Seungjoo Lee & Keon-Hyung Lee, 2020. "Finding Nemo: Predicting Movie Performances by Machine Learning Methods," JRFM, MDPI, vol. 13(5), pages 1-12, May.
    5. Alexander Cuntz & Alessio Muscarnera & Prince C. Oguguo & Matthias Sahli, 2023. "IP assets and film finance - a primer on standard practices in the U.S," WIPO Economic Research Working Papers 74, World Intellectual Property Organization - Economics and Statistics Division.

  5. Xinyun Chen & Yan Liu & Tao Zeng, 2017. "Does the T + 1 rule really reduce speculation? Evidence from Chinese Stock Index ETF," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(5), pages 1287-1313, December.

    Cited by:

    1. Jianlei Han & Jing He & Zheyao Pan & Jing Shi, 2018. "Twenty Years of Accounting and Finance Research on the Chinese Capital Market," Abacus, Accounting Foundation, University of Sydney, vol. 54(4), pages 576-599, December.
    2. Yi Jiang & Stewart Jones, 2018. "Corporate distress prediction in China: a machine learning approach," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(4), pages 1063-1109, December.
    3. Hua Wang & Liao Xu, 2019. "Do exchange‐traded fund flows increase the volatility of the underlying index? Evidence from the emerging market in China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1525-1548, March.
    4. Jilong Chen & Liao Xu & Yang Zhao, 2020. "Do ETF flows increase market efficiency? Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(5), pages 4795-4819, December.
    5. Xiong Xiong & Chunchun Luo & Ye Zhang & Shen Lin, 2019. "Do stock bulletin board systems (BBS) contain useful information? A viewpoint of interaction between BBS quality and predicting ability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1385-1411, March.
    6. Bao, Zhengyang & Kalaycı, Kenan & Leibbrandt, Andreas & Oyarzun, Carlos, 2020. "Do regulations work? A comprehensive analysis of price limits and trading restrictions in experimental asset markets with deterministic and stochastic fundamental values," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 59-84.
    7. Zhuwei Li & Xuejiao Lu & Yuan Fu, 2022. "Interaction influence of trading rules on the quality of stock markets: the price limit rule and day trading rule from the Shanghai and Shenzhen Stock exchanges," Applied Economics, Taylor & Francis Journals, vol. 54(56), pages 6467-6479, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BAN: Banking (1) 2022-04-11. Author is listed
  2. NEP-CBA: Central Banking (1) 2016-09-18. Author is listed
  3. NEP-CTA: Contract Theory and Applications (1) 2022-04-11. Author is listed
  4. NEP-DGE: Dynamic General Equilibrium (1) 2022-04-11. Author is listed
  5. NEP-MAC: Macroeconomics (1) 2022-04-11. Author is listed
  6. NEP-RMG: Risk Management (1) 2016-09-18. Author is listed
  7. NEP-SOG: Sociology of Economics (1) 2016-09-18. Author is listed

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