IDEAS home Printed from https://ideas.repec.org/f/pwa606.html
   My authors  Follow this author

Weining Wang

Personal Details

First Name:Weining
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa606
[This author has chosen not to make the email address public]
https://www.york.ac.uk/economics/our-people/staff-profiles/weining-wang/
Terminal Degree:2012 Institut für Statistik und Ökonometrie (ISÖ); Wirtschaftswissenschaftliche Fakultät; Humboldt-Universität Berlin (from RePEc Genealogy)

Affiliation

(92%) Department of Economics and Related Studies
University of York

York, United Kingdom
http://www.york.ac.uk/economics/
RePEc:edi:deyoruk (more details at EDIRC)

(8%) Institute for Fiscal Studies (IFS)

London, United Kingdom
http://www.ifs.org.uk/
RePEc:edi:ifsssuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mustafayeva, Konul & Wang, Weining, 2020. "Non-Parametric Estimation of Spot Covariance Matrix with High-Frequency Data," IRTG 1792 Discussion Papers 2020-025, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  2. Wang, Weining & Wooldridge, Jeffrey M. & Xu, Mengshan, 2020. "Improved Estimation of Dynamic Models of Conditional Means and Variances," IRTG 1792 Discussion Papers 2020-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  3. Xu, Xiu & Wang, Weining & Shin, Yongcheol, 2020. "Dynamic Spatial Network Quantile Autoregression," IRTG 1792 Discussion Papers 2020-024, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  4. Asgharian, Hossein & Christiansen, Charlotte & Hou, Ai Jun & Wang, Weining, 2020. "Long- and Short-Run Components of Factor Betas: Implications for Stock Pricing," IRTG 1792 Discussion Papers 2020-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  5. Wang, Weining & Yu, Lining & Wang, Bingling, 2020. "Tail Event Driven Factor Augmented Dynamic Model," IRTG 1792 Discussion Papers 2020-022, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  6. Chen, Shi & Härdle, Wolfgang Karl & Wang, Weining, 2020. "The common and speci fic components of inflation expectation across European countries," IRTG 1792 Discussion Papers 2020-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  7. Ai Jun Hou & Weining Wang & Cathy Y. H. Chen & Wolfgang Karl Hardle, 2020. "Pricing Cryptocurrency Options," Papers 2009.11007, arXiv.org.
  8. Lu, Cuicui & Wang, Weining & Wooldridge, Jeffrey M., 2020. "Using generalized estimating equations to estimate nonlinear models with spatial data," IRTG 1792 Discussion Papers 2020-017, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  9. Victor Chernozhukov & Wolfgang Härdle & Chen Huang & Weining Wang, 2019. "LASSO-Driven Inference in Time and Space," CeMMAP working papers CWP20/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  10. Li, Xinjue & Zboňáková, Lenka & Wang, Weining & Härdle, Wolfgang Karl, 2019. "Combining Penalization and Adaption in High Dimension with Application in Bond Risk Premia Forecasting," IRTG 1792 Discussion Papers 2019-030, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  11. Chen, Likai & Wang, Weining & Wu, Wei Biao, 2019. "Inference of Break-Points in High-Dimensional Time Series," IRTG 1792 Discussion Papers 2019-013, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  12. Keilbar, Georg & Wang, Weining, 2019. "Modelling Systemic Risk Using Neural Network Quantile Regression," IRTG 1792 Discussion Papers 2019-019, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  13. Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Hou, Ai Jun & Wang, Weining, 2018. "Pricing Cryptocurrency options: the case of CRIX and Bitcoin," IRTG 1792 Discussion Papers 2018-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
  14. Stefan Richter & Weining Wang & Wei Biao Wu, 2018. "A supreme test for periodic explosive GARCH," Papers 1812.03475, arXiv.org.
  15. Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou & Weining Wang, 2017. "Long- and Short-Run Components of Factor Betas: Implications for Equity Pricing," CREATES Research Papers 2017-34, Department of Economics and Business Economics, Aarhus University.
  16. Likai Chen & Weining Wang & Wei Biao Wu, 2017. "Dynamic Semiparametric Factor Model with a Common Break," SFB 649 Discussion Papers SFB649DP2017-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  17. Lenka Zbonakova & Wolfgang Karl Härdle & Weining Wang, 2016. "Time Varying Quantile Lasso," SFB 649 Discussion Papers SFB649DP2016-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  18. Xuening Zhu & Wolfgang K. Härdle & Weining Wang & Hangsheng Wang, 2016. "Network Quantile Autoregression," SFB 649 Discussion Papers SFB649DP2016-050, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  19. Chen, S. & Härdle, W.K. & Wang, W., 2016. "Inflation Co-movement across Countries in Multi-maturity Term Structure: An Arbitrage-Free Approach," Working Papers 16/06, Department of Economics, City University London.
  20. Wei Cui & Wolfgang K. Härdle & Weining Wang, 2015. "Estimation of NAIRU with Inflation Expectation Data," SFB 649 Discussion Papers SFB649DP2015-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  21. Jürgen Franke & Peter Mwita & Weining Wang, 2014. "Nonparametric Estimates for Conditional Quantiles of Time Series," SFB 649 Discussion Papers SFB649DP2014-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  22. Wolfgang Karl Härdle & Natalia Sirotko-Sibirskaya & Weining Wang, 2014. "TENET: Tail-Event driven NETwork risk," SFB 649 Discussion Papers SFB649DP2014-066, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  23. Wolfgang Karl Härdle & Ya'acov Ritov & Weining Wang, 2013. "Tie the straps: uniform bootstrap confidence bands for bounded influence curve estimators," SFB 649 Discussion Papers SFB649DP2013-047, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  24. Yan Fan & Wolfgang Karl Härdle & Weining Wang & Lixing Zhu, 2013. "Composite Quantile Regression for the Single-Index Model," SFB 649 Discussion Papers SFB649DP2013-010, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  25. Shih-Kang Chao & Wolfgang Karl Härdle & Weining Wang, 2012. "Quantile Regression in Risk Calibration," SFB 649 Discussion Papers SFB649DP2012-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  26. Wolfgang Karl Härdle & Ostap Okhrin & Weining Wang, 2012. "HMM in dynamic HAC models," SFB 649 Discussion Papers SFB649DP2012-001, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  27. Wolfgang Karl Härdle & Vladimir Spokoiny & Weining Wang, 2011. "Local Quantile Regression," SFB 649 Discussion Papers SFB649DP2011-005, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  28. Wolfgang Karl Härdle & Yarema Okhrin & Weining Wang, 2010. "Uniform confidence bands for pricing kernels," SFB 649 Discussion Papers SFB649DP2010-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  29. Wolfgang Karl Härdle & Rainer Schulz & Weining Wang, 2010. "Prognose mit nichtparametrischen Verfahren," SFB 649 Discussion Papers SFB649DP2010-041, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

Articles

  1. Usman, M. & Hamid, M. & Zubair, T. & Haq, R.U. & Wang, W. & Liu, M.B., 2020. "Novel operational matrices-based method for solving fractional-order delay differential equations via shifted Gegenbauer polynomials," Applied Mathematics and Computation, Elsevier, vol. 372(C).
  2. Ai Jun Hou & Weining Wang & Cathy Y H Chen & Wolfgang Karl Härdle, 2020. "Pricing Cryptocurrency Options," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(2), pages 250-279.
  3. Zhu, Xuening & Wang, Weining & Wang, Hansheng & Härdle, Wolfgang Karl, 2019. "Network quantile autoregression," Journal of Econometrics, Elsevier, vol. 212(1), pages 345-358.
  4. Yan Fan & Wolfgang Karl Härdle & Weining Wang & Lixing Zhu, 2018. "Single-Index-Based CoVaR With Very High-Dimensional Covariates," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(2), pages 212-226, April.
  5. Wolfgang Karl Härdle & Brenda López Cabrera & Ostap Okhrin & Weining Wang, 2016. "Localizing Temperature Risk," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1491-1508, October.
  6. Härdle, Wolfgang Karl & Wang, Weining & Yu, Lining, 2016. "TENET: Tail-Event driven NETwork risk," Journal of Econometrics, Elsevier, vol. 192(2), pages 499-513.
  7. Härdle, Wolfgang Karl & Okhrin, Ostap & Wang, Weining, 2015. "Hidden Markov Structures For Dynamic Copulae," Econometric Theory, Cambridge University Press, vol. 31(5), pages 981-1015, October.
  8. Jürgen Franke & Peter Mwita & Weining Wang, 2015. "Nonparametric estimates for conditional quantiles of time series," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 99(1), pages 107-130, January.
  9. Härdle, Wolfgang Karl & Ritov, Ya’acov & Wang, Weining, 2015. "Tie the straps: Uniform bootstrap confidence bands for semiparametric additive models," Journal of Multivariate Analysis, Elsevier, vol. 134(C), pages 129-145.
  10. Wolfgang Karl Härdle & Yarema Okhrin & Weining Wang, 2015. "Uniform Confidence Bands for Pricing Kernels," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 13(2), pages 376-413.
  11. Wolfgang Karl Härdle & Weining Wang, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 173-174, April.

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 25 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-ECM: Econometrics (15) 2010-01-16 2012-03-08 2013-03-02 2013-11-09 2014-11-17 2015-01-26 2016-02-29 2016-11-13 2016-12-04 2018-10-29 2019-01-07 2021-03-08 2021-03-15 2021-03-15 2021-03-15. Author is listed
  2. NEP-ETS: Econometric Time Series (9) 2015-01-26 2016-12-04 2018-01-29 2018-09-03 2019-01-07 2021-03-08 2021-03-08 2021-03-15 2021-03-15. Author is listed
  3. NEP-RMG: Risk Management (8) 2012-03-08 2014-11-17 2015-01-26 2016-12-04 2020-10-26 2021-03-08 2021-03-15 2021-03-15. Author is listed
  4. NEP-ORE: Operations Research (7) 2015-01-26 2016-11-13 2020-10-26 2021-03-08 2021-03-08 2021-03-15 2021-03-15. Author is listed
  5. NEP-MAC: Macroeconomics (3) 2015-12-01 2016-02-29 2021-03-08
  6. NEP-MON: Monetary Economics (2) 2015-12-01 2021-03-08
  7. NEP-MST: Market Microstructure (2) 2012-01-18 2021-03-15
  8. NEP-NET: Network Economics (2) 2014-11-17 2016-12-04
  9. NEP-PAY: Payment Systems & Financial Technology (2) 2019-01-07 2020-10-26
  10. NEP-CNA: China (1) 2021-03-08
  11. NEP-CWA: Central & Western Asia (1) 2021-03-15
  12. NEP-EEC: European Economics (1) 2021-03-08
  13. NEP-GER: German Papers (1) 2010-09-11
  14. NEP-TRA: Transition Economics (1) 2018-10-29

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, Weining Wang 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.