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yuecheng Jia

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First Name:Yuecheng
Middle Name:
Last Name:Jia
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RePEc Short-ID:pji332
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Affiliation

Chinese Academy of Finance and Development
Central University of Finance and Economics (CUFE)

Beijing, China
http://cafd.cufe.edu.cn/
RePEc:edi:fdcufcn (more details at EDIRC)

Research output

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Jump to: Articles Chapters

Articles

  1. Jia, Yuecheng & Simkins, Betty & Feng, Hongrui, 2023. "Political connections and short sellers," Journal of Banking & Finance, Elsevier, vol. 146(C).
  2. Jia, Yuecheng & Wu, Yangru & Yan, Shu & Liu, Yuzheng, 2023. "A seesaw effect in the cryptocurrency market: Understanding the return cross predictability of cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 74(C).
  3. Hongrui Feng & Yuecheng Jia, 2021. "Are CEOs incentivized to shelter good information?," The Financial Review, Eastern Finance Association, vol. 56(1), pages 109-132, February.
  4. Ding, Mingfa & He, Zhongda & Jia, Yuecheng & Shen, Mi, 2021. "State ownership, implicit government guarantees, and crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
  5. Brian Boscaljon & Hongrui Feng & Yuecheng Jia & Qian Sun, 2021. "Government customers, institutional investment horizons, and liquidity risk," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 273-296, January.
  6. Jia, Yuecheng & Liu, Yuzheng & Yan, Shu, 2021. "Higher moments, extreme returns, and cross–section of cryptocurrency returns," Finance Research Letters, Elsevier, vol. 39(C).
  7. Yuecheng Jia & Ivilina Popova & Betty Simkins & Qin Emma Wang, 2020. "Second and higher moments of fundamentals: A literature review," European Financial Management, European Financial Management Association, vol. 26(1), pages 216-237, January.
  8. Hongrui Feng & Yuecheng Jia, 2019. "Positive externalities of CEO delta," European Financial Management, European Financial Management Association, vol. 25(3), pages 591-621, June.

Chapters

  1. Betty Simkins & Yuecheng Jia, 2015. "Energy Futures Markets," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 13, pages 407-434, World Scientific Publishing Co. Pte. Ltd..

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. Jia, Yuecheng & Wu, Yangru & Yan, Shu & Liu, Yuzheng, 2023. "A seesaw effect in the cryptocurrency market: Understanding the return cross predictability of cryptocurrencies," Journal of Empirical Finance, Elsevier, vol. 74(C).

    Cited by:

    1. Guo, Li & Sang, Bo & Tu, Jun & Wang, Yu, 2024. "Cross-cryptocurrency return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    2. Timoth'ee Fabre & Ioane Muni Toke, 2024. "Neural Hawkes: Non-Parametric Estimation in High Dimension and Causality Analysis in Cryptocurrency Markets," Papers 2401.09361, arXiv.org, revised Jan 2024.

  2. Hongrui Feng & Yuecheng Jia, 2021. "Are CEOs incentivized to shelter good information?," The Financial Review, Eastern Finance Association, vol. 56(1), pages 109-132, February.

    Cited by:

    1. Chinmoy Ghosh & Cristian Pinto‐Gutiérrez & Jaideep Shenoy, 2024. "Does negative news disclosure induce better decision‐making? Evidence from acquisitions," The Financial Review, Eastern Finance Association, vol. 59(2), pages 325-372, May.
    2. Dan Hu & Eunju Lee & Bingxin Li, 2023. "Trade secrets protection and stock price crash risk," The Financial Review, Eastern Finance Association, vol. 58(2), pages 395-421, May.
    3. John (Jianqiu) Bai & Matthew Serfling & Sarah Shaikh, 2022. "Financial disclosure transparency and employee wages," The Financial Review, Eastern Finance Association, vol. 57(4), pages 751-773, November.

  3. Ding, Mingfa & He, Zhongda & Jia, Yuecheng & Shen, Mi, 2021. "State ownership, implicit government guarantees, and crash risk: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).

    Cited by:

    1. Linyu Wang & Yifan Ji & Zhongxin Ni, 2024. "Which implied volatilities contain more information? Evidence from China," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 1896-1919, April.
    2. Li, WeiWei & Huang, Ruilei & Gan, Zhongxin & Jiang, Zhiyan, 2024. "Do state-affiliated corporate shareholders matter for asset-liability maturity mismatch?," Finance Research Letters, Elsevier, vol. 60(C).
    3. Numan Ülkü & Kexing Wu, 2023. "Stock Market's Response to Real Output Shocks in China: A VARwAL Estimation," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 1-25, September.
    4. Jiang, Kangqi & Du, Xinyi & Chen, Zhongfei, 2022. "Firms' digitalization and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 82(C).
    5. Eugster, Nicolas & Wang, Qingxia, 2023. "Large blockholders and stock price crash risk: An international study," Global Finance Journal, Elsevier, vol. 55(C).
    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. 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).
    8. Wang, Kedi & Wu, Chen, 2024. "Financial-judicial specialization and stock price crash risk: Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    9. Xu, Jingchang & Zhang, Huixuan & Wu, Wuqing, 2023. "One novel mixed ownership reform and green innovation in private firms: Evidence from China," Emerging Markets Review, Elsevier, vol. 57(C).
    10. Jia, Yuecheng & Simkins, Betty & Feng, Hongrui, 2023. "Political connections and short sellers," Journal of Banking & Finance, Elsevier, vol. 146(C).

  4. Brian Boscaljon & Hongrui Feng & Yuecheng Jia & Qian Sun, 2021. "Government customers, institutional investment horizons, and liquidity risk," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 273-296, January.

    Cited by:

    1. Huang, Jun & Han, Feifei & Li, Yun, 2023. "Government as major customer: The effects of government procurement on corporate environmental, social, and governance performance," Finance Research Letters, Elsevier, vol. 54(C).
    2. Jian Wang & Yanhuang Huang & Hongrui Feng & Jun Yang, 2023. "The effect of customer concentration on stock sentiment risk," Review of Quantitative Finance and Accounting, Springer, vol. 60(2), pages 565-606, February.

  5. Jia, Yuecheng & Liu, Yuzheng & Yan, Shu, 2021. "Higher moments, extreme returns, and cross–section of cryptocurrency returns," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. Zhao, Xiaojuan & Wang, Ye & Liu, Weiyi, 2024. "Someone like you: Lottery-like preference and the cross-section of expected returns in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    2. Milan Fičura, 2023. "Impact of size and volume on cryptocurrency momentum and reversal," FFA Working Papers 5.003, Prague University of Economics and Business, revised 05 Apr 2023.
    3. Liebi, Luca J., 2022. "Is there a value premium in cryptoasset markets?," Economic Modelling, Elsevier, vol. 109(C).
    4. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Long, Huaigang & Demir, Ender & Będowska-Sójka, Barbara & Zaremba, Adam & Shahzad, Syed Jawad Hussain, 2022. "Is geopolitical risk priced in the cross-section of cryptocurrency returns?," Finance Research Letters, Elsevier, vol. 49(C).
    6. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    7. Fieberg, Christian & Liedtke, Gerrit & Zaremba, Adam, 2024. "Cryptocurrency anomalies and economic constraints," International Review of Financial Analysis, Elsevier, vol. 94(C).
    8. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
    9. Bouri, Elie & Jalkh, Naji, 2023. "Spillovers of joint volatility-skewness-kurtosis of major cryptocurrencies and their determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    10. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    11. Waqas Hanif & Hee-Un Ko & Linh Pham & Sang Hoon Kang, 2023. "Dynamic connectedness and network in the high moments of cryptocurrency, stock, and commodity markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-40, December.
    12. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    13. Yang, Jen-Wei & Chiu, Shih-Yung & Yen, Kuang-Chieh, 2023. "Does the realized distribution-based measure dominate particular moments? Evidence from cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
    14. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    15. Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).

Chapters

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