IDEAS home Printed from https://ideas.repec.org/f/pzh737.html
   My authors  Follow this author

Fang Zhen

Personal Details

First Name:Fang
Middle Name:
Last Name:Zhen
Suffix:
RePEc Short-ID:pzh737
[This author has chosen not to make the email address public]

Affiliation

China Economics and Management Academy
Central University of Finance and Economics (CUFE)

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

Research output

as
Jump to: Articles

Articles

  1. Zhen, Fang & Chen, Jingnan, 2022. "A closed-form mean–variance–skewness portfolio strategy," Finance Research Letters, Elsevier, vol. 47(PB).
  2. Zhou, Deqing & Zhen, Fang, 2021. "Risk aversion, informative noise trading, and long-lived information," Economic Modelling, Elsevier, vol. 97(C), pages 247-254.
  3. Deqing Zhou & Fang Zhen, 2021. "On the Impacts of Overconfidence under Information Diversity," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 345-357, March.
  4. Zhen, Fang & Ruan, Xinfeng & Zhang, Jin E., 2020. "Left-tail risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).
  5. Zhen, Fang, 2020. "Asymmetric signals and skewness," Economic Modelling, Elsevier, vol. 90(C), pages 32-42.
  6. Zhen Fang & Zhang Jin E., 2020. "Dissecting skewness under affine jump-diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
  7. Jin E. Zhang & Fang Zhen & Xiaoxia Sun & Huimin Zhao, 2017. "The Skewness Implied in the Heston Model and Its Application," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(3), pages 211-237, March.

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. Zhen, Fang & Chen, Jingnan, 2022. "A closed-form mean–variance–skewness portfolio strategy," Finance Research Letters, Elsevier, vol. 47(PB).

    Cited by:

    1. Liu, Weilong & Zhang, Yong & Liu, Kailong & Quinn, Barry & Yang, Xingyu & Peng, Qiao, 2023. "Evolutionary multi-objective optimisation for large-scale portfolio selection with both random and uncertain returns," QBS Working Paper Series 2023/02, Queen's University Belfast, Queen's Business School.
    2. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  2. Zhen, Fang & Ruan, Xinfeng & Zhang, Jin E., 2020. "Left-tail risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 63(C).

    Cited by:

    1. Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Lee, Ming-Chih, 2022. "The determinants of positive feedback trading behaviors in Bitcoin markets," Finance Research Letters, Elsevier, vol. 45(C).
    2. Sun, Kaisi & Wang, Hui & Zhu, Yifeng, 2022. "How is the change in left-tail risk priced in China?," Pacific-Basin Finance Journal, Elsevier, vol. 71(C).
    3. Ni, Zhongxin & Wang, Linyu & Li, Weishu, 2021. "Do fund managers time implied tail risk? — Evidence from Chinese mutual funds," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    4. Ling, Aifan & Li, Jinlong & Zhang, Yugui, 2023. "Can firms with higher ESG ratings bear higher bank systemic tail risk spillover?—Evidence from Chinese A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    5. Asgar Ali & K. N. Badhani, 2023. "Tail risk, beta anomaly, and demand for lottery: what explains cross-sectional variations in equity returns?," Empirical Economics, Springer, vol. 65(2), pages 775-804, August.
    6. Wang, Jun & Song, Xiuna, 2022. "The effect of limited attention and risk attitude on left-tail reversal: Empirical results from a-share data in China," Finance Research Letters, Elsevier, vol. 46(PA).
    7. Eom, Cheoljun & Eom, Yunsung & Park, Jong Won, 2023. "Left-tail momentum and tail properties of return distributions: A case of Korea," International Review of Financial Analysis, Elsevier, vol. 87(C).
    8. Wang, Chen & Xiong, Xiong & Shen, Dehua, 2022. "Tail risks, firm characteristics, and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).

  3. Zhen Fang & Zhang Jin E., 2020. "Dissecting skewness under affine jump-diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.

    Cited by:

    1. Zhen, Fang, 2020. "Asymmetric signals and skewness," Economic Modelling, Elsevier, vol. 90(C), pages 32-42.

  4. Jin E. Zhang & Fang Zhen & Xiaoxia Sun & Huimin Zhao, 2017. "The Skewness Implied in the Heston Model and Its Application," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(3), pages 211-237, March.

    Cited by:

    1. Wenli Zhu & Xinfeng Ruan, 2019. "Pricing Swaps on Discrete Realized Higher Moments Under the Lévy Process," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 507-532, February.
    2. Sebastian A. Gehricke & Jin E. Zhang, 2020. "Modeling VXX under jump diffusion with stochastic long‐term mean," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1508-1534, October.
    3. Ostap Okhrin & Michael Rockinger & Manuel Schmid, 2023. "Distributional properties of continuous time processes: from CIR to bates," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 397-419, September.
    4. Zhen Fang & Zhang Jin E., 2020. "Dissecting skewness under affine jump-diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-19, September.
    5. Recchioni, Maria Cristina & Iori, Giulia & Tedeschi, Gabriele & Ouellette, Michelle S., 2021. "The complete Gaussian kernel in the multi-factor Heston model: Option pricing and implied volatility applications," European Journal of Operational Research, Elsevier, vol. 293(1), pages 336-360.
    6. Mora-Valencia, Andrés & Rodríguez-Raga, Santiago & Vanegas, Esteban, 2021. "Skew index: Descriptive analysis, predictive power, and short-term forecast," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    7. Pakorn Aschakulporn & Jin E. Zhang, 2022. "Bakshi, Kapadia, and Madan (2003) risk‐neutral moment estimators: An affine jump‐diffusion approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 365-388, March.
    8. Zhen, Fang, 2020. "Asymmetric signals and skewness," Economic Modelling, Elsevier, vol. 90(C), pages 32-42.
    9. Jiling Cao & Xinfeng Ruan & Wenjun Zhang, 2020. "Inferring information from the S&P 500, CBOE VIX, and CBOE SKEW indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 945-973, June.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Fang Zhen should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.