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Daniel Ledermann

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Personal Details

First Name:Daniel
Middle Name:
Last Name:Ledermann
Suffix:
RePEc Short-ID:ple363
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Affiliation

ICMA Centre for Financial Markets
Henley Business School
University of Reading

Reading, United Kingdom
https://www.icmacentre.ac.uk
RePEc:edi:isrdguk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Carol Alexander & Daniel Ledermann, 2012. "ROM Simulation: Applications to Stress Testing and VaR," ICMA Centre Discussion Papers in Finance icma-dp2012-09, Henley Business School, University of Reading.
  2. Daniel Ledermann, 2011. "ROM Simulation with Rotation Matrices," ICMA Centre Discussion Papers in Finance icma-dp2011-06, Henley Business School, University of Reading.
  3. Carol Alexander & Walter Ledermann & Daniel Ledermann, 2009. "Exact Moment Simulation using Random Orthogonal Matrices," ICMA Centre Discussion Papers in Finance icma-dp2009-09, Henley Business School, University of Reading.

Articles

  1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.

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. Carol Alexander & Daniel Ledermann, 2012. "ROM Simulation: Applications to Stress Testing and VaR," ICMA Centre Discussion Papers in Finance icma-dp2012-09, Henley Business School, University of Reading.

    Cited by:

    1. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Documents de travail du Centre d'Economie de la Sorbonne 15052, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    2. Dominique Gu�gan & Bertrand Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Working Papers 2015:17, Department of Economics, University of Venice "Ca' Foscari".
    3. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01169537, HAL.
    4. Takashi Isogai, 2014. "Benchmarking of Unconditional VaR and ES Calculation Methods: A Comparative Simulation Analysis with Truncated Stable Distribution," Bank of Japan Working Paper Series 14-E-1, Bank of Japan.
    5. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Post-Print halshs-01169537, HAL.
    6. Carol Alexander & Xiaochun Meng & Wei Wei, 2020. "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers 2004.06586, arXiv.org, revised Sep 2021.
    7. Michal Kováč, 2018. "Comparison of stress testing models for regulatory purposes by institutions using the IRBA method [Porovnání stres test modelů pro regulatorní účely institucí využívajících IRBA metodu]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2018(3), pages 41-56.

Articles

  1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.

    Cited by:

    1. Alexander, Carol & Meng, Xiaochun & Wei, Wei, 2022. "Targeting Kollo skewness with random orthogonal matrix simulation," European Journal of Operational Research, Elsevier, vol. 299(1), pages 362-376.
    2. Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2014. "No-Arbitrage ROM simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 66-79.
    3. Hanke, Michael & Penev, Spiridon & Schief, Wolfgang & Weissensteiner, Alex, 2017. "Random orthogonal matrix simulation with exact means, covariances, and multivariate skewness," European Journal of Operational Research, Elsevier, vol. 263(2), pages 510-523.
    4. Carol Alexander & Xiaochun Meng & Wei Wei, 2020. "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers 2004.06586, arXiv.org, revised Sep 2021.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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-CMP: Computational Economics (1) 2014-08-16
  2. NEP-ECM: Econometrics (1) 2014-08-16

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