IDEAS home Printed from https://ideas.repec.org/f/pli421.html
   My authors  Follow this author

Junye Li

Personal Details

First Name:Junye
Middle Name:
Last Name:Li
Suffix:
RePEc Short-ID:pli421
http://junye.li.googlepages.com

Affiliation

Dipartimento di Economia "Ettore Bocconi"
Università Commerciale Luigi Bocconi

Milano, Italy
http://www.unibocconi.it/wps/wcm/connect/Bocconi/SitoPubblico_IT/Albero+di+navigazione/Home/Docenti+e+Ricerca/Dipartimenti/Economia+0.000000E+00ttore+Bocconi%24

: 02/5836.5308
02/5836.5318
Via U. Gobbi, 5 - 20136 Milano
RePEc:edi:debocit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Junye Li & Gabriele Zinna, 2014. "On bank credit risk: systemic or bank-specific? Evidence from the US and UK," Temi di discussione (Economic working papers) 951, Bank of Italy, Economic Research and International Relations Area.
  2. Andras Fulop & Junye Li & Jun Yu, 2012. "Investigating Impacts of Self-Exciting Jumps in Returns and Volatility: A Bayesian Learning Approach," Global COE Hi-Stat Discussion Paper Series gd12-264, Institute of Economic Research, Hitotsubashi University.

Articles

  1. Andras Fulop & Junye Li & Jun Yu, 2015. "Self-Exciting Jumps, Learning, and Asset Pricing Implications," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 876-912.
  2. Yin, Weiwei & Li, Junye, 2014. "Macroeconomic fundamentals and the exchange rate dynamics: A no-arbitrage macro-finance approach," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 46-64.
  3. Li, Junye & Zinna, Gabriele, 2014. "On Bank Credit Risk: Systemic or Bank Specific? Evidence for the United States and United Kingdom," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1403-1442, December.
  4. Li, Junye, 2012. "Option-implied volatility factors and the cross-section of market risk premia," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 249-260.

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. Junye Li & Gabriele Zinna, 2014. "On bank credit risk: systemic or bank-specific? Evidence from the US and UK," Temi di discussione (Economic working papers) 951, Bank of Italy, Economic Research and International Relations Area.

    Cited by:

    1. Junye Li & Gabriele Zinna, 2014. "How much of bank credit risk is sovereign risk? Evidence from the eurozone," Temi di discussione (Economic working papers) 990, Bank of Italy, Economic Research and International Relations Area.
    2. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: from a global to a local perspective? A network theory approach," Working Papers 9/2014, IMT Institute for Advanced Studies Lucca, revised Sep 2014.
    3. Michele Bonollo & Irene Crimaldi & Andrea Flori & Fabio Pammolli & Massimo Riccaboni, 2014. "Systemic importance of financial institutions: regulations, research, open issues, proposals," Working Papers 2/2014, IMT Institute for Advanced Studies Lucca, revised Mar 2014.
    4. Mario Cerrato & John Crosby & Minjoo Kim & Yang Zhao, 2015. "Correlated Defaults of UK Banks: Dynamics and Asymmetries," Working Papers 2015_24, Business School - Economics, University of Glasgow.
    5. Kaminska, Iryna & Zinna, Gabriele, 2019. "Official demand for US debt: implications for US real rates," Bank of England working papers 796, Bank of England.
    6. Gabriele Zinna, 2014. "Price pressures in the UK index-linked market: an empirical investigation," Temi di discussione (Economic working papers) 968, Bank of Italy, Economic Research and International Relations Area.
    7. Sara Cecchetti, 2017. "A quantitative analysis of risk premia in the corporate bond market," Temi di discussione (Economic working papers) 1141, Bank of Italy, Economic Research and International Relations Area.

Articles

  1. Andras Fulop & Junye Li & Jun Yu, 2015. "Self-Exciting Jumps, Learning, and Asset Pricing Implications," Review of Financial Studies, Society for Financial Studies, vol. 28(3), pages 876-912.

    Cited by:

    1. Liu, Yi & Liu, Huifang & Zhang, Lei, 2019. "Modeling and forecasting return jumps using realized variation measures," Economic Modelling, Elsevier, vol. 76(C), pages 63-80.
    2. Milan Fičura & Jiří Witzany, 2018. "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, University of Economics, Prague, vol. 2018(3), pages 05-20.
    3. Donatien Hainaut & Franck Moraux, 2019. "A switching self-exciting jump diffusion process for stock prices," Annals of Finance, Springer, vol. 15(2), pages 267-306, June.
    4. Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.
    5. David S. Bates, 2016. "How Crashes Develop: Intradaily Volatility and Crash Evolution," NBER Working Papers 22028, National Bureau of Economic Research, Inc.
    6. Fulop, Andras & Li, Junye, 2019. "Bayesian estimation of dynamic asset pricing models with informative observations," Journal of Econometrics, Elsevier, vol. 209(1), pages 114-138.

  2. Yin, Weiwei & Li, Junye, 2014. "Macroeconomic fundamentals and the exchange rate dynamics: A no-arbitrage macro-finance approach," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 46-64.

    Cited by:

    1. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
    2. Shashank Gupta & Shalini Gupta, 2017. "Modeling economic system using fuzzy cognitive maps," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1472-1486, November.
    3. Luke Lin & Chun I Lee, 2017. "Unmasking the Relationships Between Exchange Rate Exposure and Its Determinants: A More Complete Picture from Quantile Regressions," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-28, December.
    4. Du, Ding & Hu, Ou & Wu, Hong, 2014. "Emerging market currency exposure: Taiwan," Journal of Multinational Financial Management, Elsevier, vol. 28(C), pages 47-61.

  3. Li, Junye & Zinna, Gabriele, 2014. "On Bank Credit Risk: Systemic or Bank Specific? Evidence for the United States and United Kingdom," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(5-6), pages 1403-1442, December.

    Cited by:

    1. Han-Hsing Lee & Kuanyu Shih & Kehluh Wang, 2016. "Measuring sovereign credit risk using a structural model approach," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1097-1128, November.
    2. Mario Cerrato & John Crosby & Minjoo Kim & Yang Zhao, 2015. "Correlated Defaults of UK Banks: Dynamics and Asymmetries," Working Papers 2015_24, Business School - Economics, University of Glasgow.
    3. Kaminska, Iryna & Zinna, Gabriele, 2019. "Official demand for US debt: implications for US real rates," Bank of England working papers 796, Bank of England.
    4. Sara Cecchetti, 2017. "A quantitative analysis of risk premia in the corporate bond market," Temi di discussione (Economic working papers) 1141, Bank of Italy, Economic Research and International Relations Area.

  4. Li, Junye, 2012. "Option-implied volatility factors and the cross-section of market risk premia," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 249-260.

    Cited by:

    1. Goodell, John W. & Vähämaa, Sami, 2013. "US presidential elections and implied volatility: The role of political uncertainty," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1108-1117.
    2. Fang, Libing & Yu, Honghai & Huang, Yingbo, 2018. "The role of investor sentiment in the long-term correlation between U.S. stock and bond markets," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 127-139.
    3. Christian Gouriéroux & Joann Jasiak & Peng Xu, 2013. "Non-tradable S&P 500 Index and the Pricing of Its Traded Derivatives," Working Papers 2013-05, Center for Research in Economics and Statistics.
    4. Slim, Skander, 2016. "On the source of stochastic volatility: Evidence from CAC40 index options during the subprime crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 63-76.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 1 paper 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) 2014-03-08. Author is listed
  2. NEP-CBA: Central Banking (1) 2014-03-08. Author is listed
  3. NEP-RMG: Risk Management (1) 2014-03-08. Author is listed

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, Junye Li 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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.