IDEAS home Printed from https://ideas.repec.org/f/pha1165.html
   My authors  Follow this author

Yingying Han

(We have lost contact with this author. Please ask them to update the entry or send us the correct address or status for this person. Thank you.)

Personal Details

First Name:Yingying
Middle Name:
Last Name:Han
Suffix:
RePEc Short-ID:pha1165
[This author has chosen not to make the email address public]
The above email address does not seem to be valid anymore. Please ask Yingying Han to update the entry or send us the correct address or status for this person. Thank you.

Affiliation

College of Economics and Management
South China Agricultural University

Guangzhou, China
http://cem.scau.edu.cn/
RePEc:edi:cescacn (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Yingying HAN & Xiang ZHOU, 2017. "The Relationship between Stock and Exchange Rates for BRICS Countries Pre - and Post - Crisis: A Mixed C - VINE Copula Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 38-59, March.
  2. Han, Yingying & Gong, Pu & Zhou, Xiang, 2016. "Correlations and risk contagion between mixed assets and mixed-asset portfolio VaR measurements in a dynamic view: An application based on time varying copula models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 940-953.

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. Yingying HAN & Xiang ZHOU, 2017. "The Relationship between Stock and Exchange Rates for BRICS Countries Pre - and Post - Crisis: A Mixed C - VINE Copula Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 38-59, March.

    Cited by:

    1. Wing-Choong Lai & Kim-Leng Goh, 2019. "Impact of Chinese Yuan Devaluation on the Dependence Structure: The Archimedean Copula Approach," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-27, March.
    2. Wing-Choong Lai & Kim-Leng Goh, 2021. "Dependence Structure Between Renminbi Movements and Volatility of Foreign Exchange Rate Returns," China Report, , vol. 57(1), pages 57-78, February.
    3. Dohyun CHUN & Hoon CHO & Doojin RYU, 2018. "Macroeconomic Structural Changes in a Leading Emerging Market: The Effects of the Asian Financial Crisis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-42, December.
    4. Benjamin, Oluwasegun Olawale & Fatile, John Ojo, 2019. "Structural Analysis of the Effect of Exchange Rate Movement on Stock Market Performance in Nigeria," MPRA Paper 98329, University Library of Munich, Germany, revised 19 Nov 2019.

  2. Han, Yingying & Gong, Pu & Zhou, Xiang, 2016. "Correlations and risk contagion between mixed assets and mixed-asset portfolio VaR measurements in a dynamic view: An application based on time varying copula models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 940-953.

    Cited by:

    1. Xinyu Yuan & Jiechen Tang & Wing-Keung Wong & Songsak Sriboonchitta, 2020. "Modeling Co-Movement among Different Agricultural Commodity Markets: A Copula-GARCH Approach," Sustainability, MDPI, vol. 12(1), pages 1-17, January.
    2. Herteliu, Claudiu & Levantesi, Susanna & Rotundo, Giulia, 2021. "Network analysis of pension funds investments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 579(C).
    3. Luo, Changqing & Liu, Lan & Wang, Da, 2021. "Multiscale financial risk contagion between international stock markets: Evidence from EMD-Copula-CoVaR analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Chunyi Lu & Zhuoqi Teng & Yu Gao & Renhong Wu & Md. Alamgir Hossain & Yuantao Fang, 2022. "Analysis of Early Warning of RMB Exchange Rate Fluctuation and Value at Risk Measurement Based on Deep Learning," Computational Economics, Springer;Society for Computational Economics, vol. 59(4), pages 1501-1524, April.
    5. Sui, Xin & Li, Liang, 2018. "Guarantee network model and risk contagion," Chaos, Solitons & Fractals, Elsevier, vol. 106(C), pages 323-329.
    6. Sui, Xin & Li, Liang & Chen, Xiaohui, 2020. "Risk contagion caused by interactions between credit and guarantee networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    7. Cerqueti, Roy & Giacalone, Massimiliano & Panarello, Demetrio, 2019. "A Generalized Error Distribution Copula-based method for portfolios risk assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 687-695.
    8. Bai, Lan & Zhang, Xuhui & Liu, Yuntong & Wang, Qian, 2019. "Economic risk contagion among major economies: New evidence from EPU spillover analysis in time and frequency domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).

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, Yingying Han 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.