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Lukas Andreas Borke

Personal Details

First Name:Lukas
Middle Name:Andreas
Last Name:Borke
Suffix:
RePEc Short-ID:pbo750
[This author has chosen not to make the email address public]
http://sfb649.wiwi.hu-berlin.de/staff/staff.php?id=026
Terminal Degree:2017 Institut für Statistik und Ökonometrie (ISÖ); Wirtschaftswissenschaftliche Fakultät; Humboldt-Universität Berlin (from RePEc Genealogy)

Affiliation

(50%) Sonderforschungsbereich 649: Ökonomisches Risiko
Wirtschaftswissenschaftliche Fakultät
Humboldt-Universität Berlin

Berlin, Germany
http://sfb649.wiwi.hu-berlin.de/
RePEc:edi:sohubde (more details at EDIRC)

(25%) Institut für Statistik und Ökonometrie (ISÖ)
Wirtschaftswissenschaftliche Fakultät
Humboldt-Universität Berlin

Berlin, Germany
http://ise.wiwi.hu-berlin.de/
RePEc:edi:ishubde (more details at EDIRC)

(25%) Center for Applied Statistics and Econometrics (CASE)
Humboldt-Universität Berlin

Berlin, Germany
http://www.case.hu-berlin.de/
RePEc:edi:cahubde (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Lining Yu & Wolfgang Karl Härdle & Lukas Borke & Thijs Benschop, 2017. "FRM: a Financial Risk Meter based on penalizing tail events occurrence," SFB 649 Discussion Papers SFB649DP2017-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  2. Wolfgang Karl Härdle & Lukas Borke, 2017. "GitHub API based QuantNet Mining infrastructure in R," SFB 649 Discussion Papers SFB649DP2017-008, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  3. Lukas Borke, 2017. "RiskAnalytics: an R package for real time processing of Nasdaq and Yahoo finance data and parallelized quantile lasso regression methods," SFB 649 Discussion Papers SFB649DP2017-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  4. Lukas Borke & Wolfgang K. Härdle, 2016. "Q3-D3-Lsa," SFB 649 Discussion Papers SFB649DP2016-049, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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. Lining Yu & Wolfgang Karl Härdle & Lukas Borke & Thijs Benschop, 2017. "FRM: a Financial Risk Meter based on penalizing tail events occurrence," SFB 649 Discussion Papers SFB649DP2017-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Zbonakova, Lenka & Pio Monti, Ricardo & Härdle, Wolfgang Karl, 2018. "Towards the interpretation of time-varying regularization parameters in streaming penalized regression models," IRTG 1792 Discussion Papers 2018-059, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Lukas Borke, 2017. "RiskAnalytics: an R package for real time processing of Nasdaq and Yahoo finance data and parallelized quantile lasso regression methods," SFB 649 Discussion Papers SFB649DP2017-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    3. Mihoci, Andrija & Althof, Michael & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2019. "FRM Financial Risk Meter," IRTG 1792 Discussion Papers 2019-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".

  2. Wolfgang Karl Härdle & Lukas Borke, 2017. "GitHub API based QuantNet Mining infrastructure in R," SFB 649 Discussion Papers SFB649DP2017-008, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Petra Burdejová & Wolfgang K. Härdle, 2017. "Dynamic semi-parametric factor model for functional expectiles," SFB 649 Discussion Papers SFB649DP2017-027, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Marius Lux & Wolfgang Karl Härdle & Stefan Lessmann, 2020. "Data driven value-at-risk forecasting using a SVR-GARCH-KDE hybrid," Computational Statistics, Springer, vol. 35(3), pages 947-981, September.
    3. Adamyan, Larisa & Efimov, Kirill & Spokoiny, Vladimir, 2019. "Adaptive Nonparametric Community Detection," IRTG 1792 Discussion Papers 2019-006, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    4. Lining Yu & Wolfgang Karl Hardle & Lukas Borke & Thijs Benschop, 2020. "An AI approach to measuring financial risk," Papers 2009.13222, arXiv.org.
    5. Yingxing Li & Chen Huang & Wolfgang Karl Härdle, 2017. "Spatial Functional Principal Component Analysis with Applications to Brain Image Data," SFB 649 Discussion Papers SFB649DP2017-024, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  3. Lukas Borke, 2017. "RiskAnalytics: an R package for real time processing of Nasdaq and Yahoo finance data and parallelized quantile lasso regression methods," SFB 649 Discussion Papers SFB649DP2017-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Cited by:

    1. Lining Yu & Wolfgang Karl Härdle & Lukas Borke & Thijs Benschop, 2017. "FRM: a Financial Risk Meter based on penalizing tail events occurrence," SFB 649 Discussion Papers SFB649DP2017-003, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Lining Yu & Wolfgang Karl Hardle & Lukas Borke & Thijs Benschop, 2020. "An AI approach to measuring financial risk," Papers 2009.13222, arXiv.org.

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 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-CMP: Computational Economics (2) 2016-11-27 2017-03-12. Author is listed
  2. NEP-ORE: Operations Research (2) 2017-02-26 2017-02-26. Author is listed
  3. NEP-RMG: Risk Management (2) 2017-02-26 2017-02-26. Author is listed
  4. NEP-BAN: Banking (1) 2017-02-26. Author is listed
  5. NEP-CFN: Corporate Finance (1) 2017-02-26. Author is listed

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