IDEAS home Printed from https://ideas.repec.org/e/par194.html
   My authors  Follow this author

David Ardia

Personal Details

First Name:David
Middle Name:
Last Name:Ardia
Suffix:
RePEc Short-ID:par194
[This author has chosen not to make the email address public]
https://ivado.ca/en/person/david-ardia/
Terminal Degree:2008 Faculté des sciences économiques et sociales - Wirtschafts- und Sozialwissenschaftliche Fakultät; Université de Fribourg - Universität Freiburg (from RePEc Genealogy)

Affiliation

HEC Montréal (École des Hautes Études Commerciales)

Montréal, Canada
http://www.hec.ca/

:

3000, Chemin de la Côte-Sainte-Catherine, Montréal, Québec, H3T 2A7
RePEc:edi:hecmtca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Books

Working papers

  1. David Ardia & Kris Boudt & Giang Nguyen, 2018. "Beyond risk-based portfolios: balancing performance and risk contributions in asset allocation," ULB Institutional Repository 2013/286494, ULB -- Universite Libre de Bruxelles.
  2. David Ardia & Kris Boudt & Leopoldo Catania, 2016. "Generalized Autoregressive Score Models in R: The GAS Package," Papers 1609.02354, arXiv.org.
  3. David Ardia & Kris Boudt & Leopoldo Catania, 2016. "Value-at-Risk Prediction in R with the GAS Package," Papers 1611.06010, arXiv.org.
  4. David Ardia & Lukasz Gatarek & Lennart F. hoogerheide, 2014. "A New Bootstrap Test for the Validity of a Set of Marginal Models for Multiple Dependent Time Series: an Application to Risk Analysis," Cahiers de recherche 1413, CIRPEE.
  5. Attilio Meucci & David Ardia & Simon Keel, 2013. "Fully Flexible Views in Multivariate Normal Markets," Cahiers de recherche 1311, CIRPEE.
  6. David Ardia & Lennart F. Hoogerheide, 2013. "Cross-Sectional Distribution of GARCH Coefficients across S&P 500 Constituents: Time-Variation over the Period 2000-2012," Cahiers de recherche 1313, CIRPEE.
  7. David Ardia & Lennart Hoogerheide, 2013. "GARCH Models for Daily Stock Returns: Impact of Estimation Frequency on Value-at-Risk and Expected Shortfall Forecasts," Tinbergen Institute Discussion Papers 13-047/III, Tinbergen Institute.
  8. David Ardia & Lennart F. Hoogerheide, 2013. "Worldwide equity Risk Prediction," Cahiers de recherche 1312, CIRPEE.
  9. David Ardia & Kris Boudt, 2013. "Implied Expected Returns and the Choice of a Mean-Variance Efficient Portfolio Proxy," Cahiers de recherche 1328, CIRPEE.
  10. David Ardia & Kris Boudt, 2013. "The Peer Performance of Hedge Funds," Cahiers de recherche 1329, CIRPEE.
  11. Ardia, David & Lennart, Hoogerheide & Nienke, Corré, 2011. "Stock index returns’ density prediction using GARCH models: Frequentist or Bayesian estimation?," MPRA Paper 28259, University Library of Munich, Germany.
  12. Ardia, David & Boudt, Kris & Carl, Peter & Mullen, Katharine M. & Peterson, Brian, 2010. "Differential Evolution (DEoptim) for Non-Convex Portfolio Optimization," MPRA Paper 22135, University Library of Munich, Germany.
  13. David Ardia & Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2010. "A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihood," Tinbergen Institute Discussion Papers 10-059/4, Tinbergen Institute.
  14. David Ardia & Lennart F. Hoogerheide, 2010. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations," Tinbergen Institute Discussion Papers 10-045/4, Tinbergen Institute.
  15. Ardia, David & Ospina, Juan & Giraldo, Giraldo, 2010. "Jump-Diffusion Calibration using Differential Evolution," MPRA Paper 26184, University Library of Munich, Germany, revised 25 Oct 2010.
  16. Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.
  17. David Ardia & Lennart Hoogerheide & Herman K. van Dijk, 2009. "To Bridge, to Warp or to Wrap? A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods," Tinbergen Institute Discussion Papers 09-017/4, Tinbergen Institute.
  18. Ardia, David, 2009. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations in R," MPRA Paper 17414, University Library of Munich, Germany.
  19. Keel, Simon & Ardia, David, 2009. "Generalized Marginal Risk," MPRA Paper 17258, University Library of Munich, Germany.
  20. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2009. "DEoptim: An R Package for Global Optimization by Differential Evolution," MPRA Paper 21743, University Library of Munich, Germany, revised 26 Dec 2010.
  21. Ardia, David & Hoogerheide, Lennart F. & van Dijk, Herman K., 2008. "AdMit: Adaptive Mixtures of Student-t Distributions," DQE Working Papers 10, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 07 Jan 2009.
  22. Ardia, David & Hoogerheide, Lennart F. & van Dijk, Herman K., 2008. "Adaptive mixture of Student-t distributions as a flexible candidate distribution for efficient simulation: the R package AdMit," DQE Working Papers 9, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 07 Jan 2009.
  23. Ardia, David, 2007. "Bayesian Estimation of a Markov-Switching Threshold Asymmetric GARCH Model with Student-t Innovations," DQE Working Papers 6, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland, revised 08 Jul 2008.
  24. Ardia, David, 2007. "Tests d’arbitrage sur options: une analyse empirique des cotations de market-makers," DQE Working Papers 8, Department of Quantitative Economics, University of Freiburg/Fribourg Switzerland.
  25. Ardia, David, 2002. "Tests d'arbitrage et surfaces de volatilité : analyse empirique sur données haute fréquence
    [Arbitrage tests and surface of implied volatility: An empirical analysis of high frequency data]
    ," MPRA Paper 17415, University Library of Munich, Germany.

Articles

  1. Ardia, David & Bluteau, Keven & Rüede, Maxime, 2019. "Regime changes in Bitcoin GARCH volatility dynamics," Finance Research Letters, Elsevier, vol. 29(C), pages 266-271.
  2. Ardia David & Bluteau Keven & Hoogerheide Lennart F., 2018. "Methods for Computing Numerical Standard Errors: Review and Application to Value-at-Risk Estimation," Journal of Time Series Econometrics, De Gruyter, vol. 10(2), pages 1-9, July.
  3. David Ardia & Kris Boudt & Giang Nguyen, 2018. "Beyond risk-based portfolios: balancing performance and risk contributions in asset allocation," Quantitative Finance, Taylor & Francis Journals, vol. 18(8), pages 1249-1259, August.
  4. Ardia, David & Boudt, Kris, 2018. "The peer performance ratios of hedge funds," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 351-368.
  5. Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo, 2018. "Forecasting risk with Markov-switching GARCH models:A large-scale performance study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 733-747.
  6. David Ardia & Guido Bolliger & Kris Boudt & Jean-Philippe Gagnon-Fleury, 2017. "The impact of covariance misspecification in risk-based portfolios," Annals of Operations Research, Springer, vol. 254(1), pages 1-16, July.
  7. David Ardia & Jeremy Kolly & Denis‐Alexandre Trottier, 2017. "The impact of parameter and model uncertainty on market risk predictions from GARCH‐type models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 808-823, November.
  8. Trottier, Denis-Alexandre & Ardia, David, 2016. "Moments of standardized Fernandez–Steel skewed distributions: Applications to the estimation of GARCH-type models," Finance Research Letters, Elsevier, vol. 18(C), pages 311-316.
  9. David Ardia & Kris Boudt & Marjan Wauters, 2016. "Smart beta and CPPI performance," Finance, Presses universitaires de Grenoble, vol. 37(3), pages 31-65.
  10. Ardia, David & Boudt, Kris & Wauters, Marjan, 2016. "The economic benefits of market timing the style allocation of characteristic-based portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 38-62.
  11. David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, Open Access Journal, vol. 4(1), pages 1-19, March.
  12. Ardia, David & Boudt, Kris, 2015. "Testing equality of modified Sharpe ratios," Finance Research Letters, Elsevier, vol. 13(C), pages 97-104.
  13. Ardia, David & Hoogerheide, Lennart F., 2014. "GARCH models for daily stock returns: Impact of estimation frequency on Value-at-Risk and Expected Shortfall forecasts," Economics Letters, Elsevier, vol. 123(2), pages 187-190.
  14. David Ardia & Lennart F. Hoogerheide, 2013. "Worldwide equity risk prediction," Applied Economics Letters, Taylor & Francis Journals, vol. 20(14), pages 1333-1339, September.
  15. Hoogerheide, Lennart F. & Ardia, David & Corré, Nienke, 2012. "Density prediction of stock index returns using GARCH models: Frequentist or Bayesian estimation?," Economics Letters, Elsevier, vol. 116(3), pages 322-325.
  16. Ardia, David & Baştürk, Nalan & Hoogerheide, Lennart & van Dijk, Herman K., 2012. "A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3398-3414.
  17. Mullen, Katharine M. & Ardia, David & Gil, David L. & Windover, Donald & Cline, James, 2011. "DEoptim: An R Package for Global Optimization by Differential Evolution," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i06).
  18. David Ardia, 2009. "Bayesian estimation of a Markov-switching threshold asymmetric GARCH model with Student-t innovations," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 105-126, March.
  19. Ardia, David & Hoogerheide, Lennart F. & van Dijk, Herman K., 2009. "Adaptive Mixture of Student-t Distributions as a Flexible Candidate Distribution for Efficient Simulation: The R Package AdMit," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i03).

Books

  1. David Ardia, 2008. "Financial Risk Management with Bayesian Estimation of GARCH Models," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-78657-3, December.

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 21 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 (7) 2007-04-28 2008-07-05 2009-03-22 2010-06-04 2010-11-06 2011-02-26 2014-03-22. Author is listed
  2. NEP-ETS: Econometric Time Series (7) 2007-04-28 2009-09-26 2010-06-04 2011-01-30 2013-06-04 2014-03-22 2015-04-25. Author is listed
  3. NEP-RMG: Risk Management (7) 2009-09-19 2013-03-30 2013-06-04 2013-06-04 2014-03-22 2015-04-25 2016-11-27. Author is listed
  4. NEP-FOR: Forecasting (4) 2007-04-28 2011-01-30 2013-06-04 2016-11-27
  5. NEP-ORE: Operations Research (4) 2009-03-22 2010-04-11 2010-04-24 2014-03-22
  6. NEP-CMP: Computational Economics (2) 2010-04-11 2010-04-24
  7. NEP-EVO: Evolutionary Economics (2) 2010-04-11 2010-04-24
  8. NEP-FMK: Financial Markets (2) 2013-06-04 2013-09-26
  9. NEP-CFN: Corporate Finance (1) 2007-08-08
  10. NEP-EFF: Efficiency & Productivity (1) 2013-09-26
  11. NEP-IFN: International Finance (1) 2011-02-26
  12. NEP-MON: Monetary Economics (1) 2011-02-26

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, David Ardia 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.