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Lars Stentoft

Personal Details

First Name:Lars
Middle Name:
Last Name:Stentoft
Suffix:
RePEc Short-ID:pst129
[This author has chosen not to make the email address public]
http://economics.uwo.ca/people/faculty/stentoft.html
Terminal Degree:2004 Institut for Økonomi; Aarhus Universitet (from RePEc Genealogy)

Affiliation

(34%) Department of Economics
University of Western Ontario

London, Canada
https://economics.uwo.ca/
RePEc:edi:deuwoca (more details at EDIRC)

(33%) Center for Research in Econometric Analysis of Time Series (CREATES)
Institut for Økonomi
Aarhus Universitet

Aarhus, Denmark
http://www.creates.au.dk/
RePEc:edi:creaudk (more details at EDIRC)

(33%) Centre Interuniversitaire de Recherche en Analyse des Organisations (CIRANO)

Montréal, Canada
http://www.cirano.qc.ca/
RePEc:edi:ciranca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Chapters

Working papers

  1. Scott Condie & Lars Stentoft & Marie-Louise Vierø, 2023. "Unawareness Premia," Economics Working Papers 2023-09, Department of Economics and Business Economics, Aarhus University.
  2. Jeroen V.K. Rombouts & Lars Stentoft & Francesco Violante, 2017. "Dynamics of Variance Risk Premia, Investors' Sentiment and Return Predictability," CREATES Research Papers 2017-10, Department of Economics and Business Economics, Aarhus University.
  3. Jeroen V.K. Rombouts & Lars Stentoft & Francesco Violante, 2017. "Variance swap payoffs, risk premia and extreme market conditions," CREATES Research Papers 2017-21, Department of Economics and Business Economics, Aarhus University.
  4. Jean-Guy Simonato & Lars Stentoft, 2015. "Which pricing approach for options under GARCH with non-normal innovations?," CREATES Research Papers 2015-32, Department of Economics and Business Economics, Aarhus University.
  5. Maxence Soumare & J{o}rgen Vitting Andersen & Francis Bouchard & Alain Elkaim & Dominique Gu'egan & Justin Leroux & Michel Miniconi & Lars Stentoft, 2013. "A theoretical framework for trading experiments," Papers 1306.2073, arXiv.org.
  6. Jeroen V.K. Rombouts & Lars Stentoft & Francesco Violante, 2012. "The Value of Multivariate Model Sophistication: An Application to pricing Dow Jones Industrial Average options," CREATES Research Papers 2012-04, Department of Economics and Business Economics, Aarhus University.
  7. M. Martin Boyer & Lars Stentoft, 2012. "If we can simulate it, we can insure it: An application to longevity risk management," CIRANO Working Papers 2012s-08, CIRANO.
  8. M. Martin Boyer & Joanna Mejza & Lars Stentoft, 2011. "Measuring Longevity Risk for a Canadian Pension Fund," CIRANO Working Papers 2011s-43, CIRANO.
  9. Lars Stentoft, 2011. "What we can learn from pricing 139,879 Individual Stock Options," CREATES Research Papers 2011-52, Department of Economics and Business Economics, Aarhus University.
  10. Lars Stentoft, 2011. "American Option Pricing with Discrete and Continuous Time Models: An Empirical Comparison," CREATES Research Papers 2011-34, Department of Economics and Business Economics, Aarhus University.
  11. Jeroen V.K. Rombouts & Lars Stentoft, 2010. "Option Pricing with Asymmetric Heteroskedastic Normal Mixture Models," CREATES Research Papers 2010-44, Department of Economics and Business Economics, Aarhus University.
  12. Jeroen V.K. Rombouts & Lars Stentoft, 2010. "Multivariate Option Pricing with Time Varying Volatility and Correlations," CREATES Research Papers 2010-19, Department of Economics and Business Economics, Aarhus University.
  13. Jeroen V.K. Rombouts & Lars Stentoft, 2009. "Bayesian Option Pricing Using Mixed Normal Heteroskedasticity Models," CREATES Research Papers 2009-07, Department of Economics and Business Economics, Aarhus University.
  14. Lars Stentoft, 2008. "American Option Pricing using GARCH models and the Normal Inverse Gaussian distribution," CREATES Research Papers 2008-41, Department of Economics and Business Economics, Aarhus University.
  15. Lars Stentoft, 2008. "Option Pricing using Realized Volatility," CREATES Research Papers 2008-13, Department of Economics and Business Economics, Aarhus University.

Articles

  1. Pascal Letourneau & Lars Stentoft, 2023. "Simulated Greeks for American options," Quantitative Finance, Taylor & Francis Journals, vol. 23(4), pages 653-676, April.
  2. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2023. "Covariance dependent kernels, a Q-affine GARCH for multi-asset option pricing," International Review of Financial Analysis, Elsevier, vol. 87(C).
  3. Dillon Huddleston & Fred Liu & Lars Stentoft, 2023. "Intraday Market Predictability: A Machine Learning Approach," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 485-527.
  4. Francois-Michel Boire & R. Mark Reesor & Lars Stentoft, 2021. "American Option Pricing with Importance Sampling and Shifted Regressions," JRFM, MDPI, vol. 14(8), pages 1-21, July.
  5. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2021. "Option pricing with conditional GARCH models," European Journal of Operational Research, Elsevier, vol. 289(1), pages 350-363.
  6. Fred Liu & Lars Stentoft, 2021. "Regulatory Capital and Incentives for Risk Model Choice under Basel 3 [Procyclical Leverage and Value-at-Risk]," Journal of Financial Econometrics, Oxford University Press, vol. 19(1), pages 53-96.
  7. Pascal François & Lars Stentoft, 2021. "Smile‐implied hedging with volatility risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1220-1240, August.
  8. François-Michel Boire & R. Mark Reesor & Lars Stentoft, 2021. "Efficient Variance Reduction for American Call Options Using Symmetry Arguments," JRFM, MDPI, vol. 14(11), pages 1-21, October.
  9. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Pricing individual stock options using both stock and market index information," Journal of Banking & Finance, Elsevier, vol. 111(C).
  10. Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020. "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, vol. 118(C).
  11. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Dynamics of variance risk premia: A new model for disentangling the price of risk," Journal of Econometrics, Elsevier, vol. 217(2), pages 312-334.
  12. Rombouts, Jeroen V.K. & Stentoft, Lars & Violante, Francesco, 2020. "Variance swap payoffs, risk premia and extreme market conditions," Econometrics and Statistics, Elsevier, vol. 13(C), pages 106-124.
  13. Lars Stentoft, 2020. "Computational Finance," JRFM, MDPI, vol. 13(7), pages 1-4, July.
  14. Lars Stentoft, 2019. "Efficient Numerical Pricing of American Call Options Using Symmetry Arguments," JRFM, MDPI, vol. 12(2), pages 1-26, April.
  15. Pascal Létourneau & Lars Stentoft, 2019. "Bootstrapping the Early Exercise Boundary in the Least-Squares Monte Carlo Method," JRFM, MDPI, vol. 12(4), pages 1-21, December.
  16. Galyna Grynkiv & Lars Stentoft, 2018. "Stationary Threshold Vector Autoregressive Models," JRFM, MDPI, vol. 11(3), pages 1-23, August.
  17. M. Martin Boyer & Lars Stentoft, 2017. "Yes We Can (Price Derivatives on Survivor Indices)," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(1), pages 37-62, March.
  18. Rombouts, Jeroen V.K. & Stentoft, Lars, 2015. "Option pricing with asymmetric heteroskedastic normal mixture models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 635-650.
  19. Boyer, Martin & Dorion, Christian & Stentoft, Lars, 2015. "Les modèles factoriels et la gestion du risque de longévité," L'Actualité Economique, Société Canadienne de Science Economique, vol. 91(4), pages 531-565, Décembre.
  20. Pascal L�tourneau & Lars Stentoft, 2014. "Refining the least squares Monte Carlo method by imposing structure," Quantitative Finance, Taylor & Francis Journals, vol. 14(3), pages 495-507, March.
  21. Rombouts, Jeroen V.K. & Stentoft, Lars, 2014. "Bayesian option pricing using mixed normal heteroskedasticity models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 588-605.
  22. M. Martin Boyer & Joanna Mejza & Lars Stentoft, 2014. "Measuring Longevity Risk: An Application to the Royal Canadian Mounted Police Pension Plan," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 17(1), pages 37-59, March.
  23. Rombouts, Jeroen & Stentoft, Lars & Violante, Franceso, 2014. "The value of multivariate model sophistication: An application to pricing Dow Jones Industrial Average options," International Journal of Forecasting, Elsevier, vol. 30(1), pages 78-98.
  24. Boyer, M. Martin & Stentoft, Lars, 2013. "If we can simulate it, we can insure it: An application to longevity risk management," Insurance: Mathematics and Economics, Elsevier, vol. 52(1), pages 35-45.
  25. Stentoft, Lars, 2011. "American option pricing with discrete and continuous time models: An empirical comparison," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 880-902.
  26. Rombouts, Jeroen V.K. & Stentoft, Lars, 2011. "Multivariate option pricing with time varying volatility and correlations," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2267-2281, September.
  27. Lars Stentoft, 2008. "American Option Pricing Using GARCH Models and the Normal Inverse Gaussian Distribution," Journal of Financial Econometrics, Oxford University Press, vol. 6(4), pages 540-582, Fall.
  28. Stentoft, Lars, 2005. "Pricing American options when the underlying asset follows GARCH processes," Journal of Empirical Finance, Elsevier, vol. 12(4), pages 576-611, September.
  29. Lars Stentoft, 2004. "Assessing the Least Squares Monte-Carlo Approach to American Option Valuation," Review of Derivatives Research, Springer, vol. 7(2), pages 129-168, August.
  30. Lars Stentoft, 2004. "Convergence of the Least Squares Monte Carlo Approach to American Option Valuation," Management Science, INFORMS, vol. 50(9), pages 1193-1203, September.

Chapters

  1. Lars Stentoft, 2013. "American option pricing using simulation with an application to the GARCH model," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 5, pages 114-147, Edward Elgar Publishing.

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 22 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 (11) 2008-09-05 2009-05-16 2009-09-26 2010-03-28 2010-05-22 2010-06-11 2010-09-03 2010-09-25 2012-01-10 2012-02-15 2015-08-25. Author is listed
  2. NEP-ORE: Operations Research (11) 2008-09-05 2009-09-26 2010-03-28 2010-05-22 2010-05-29 2010-06-11 2010-09-03 2011-02-12 2011-10-09 2012-01-10 2012-02-15. Author is listed
  3. NEP-FOR: Forecasting (8) 2009-05-16 2009-09-26 2010-03-28 2010-09-03 2010-09-25 2011-02-12 2012-02-15 2012-03-14. Author is listed
  4. NEP-FMK: Financial Markets (4) 2008-06-27 2008-09-05 2010-05-29 2012-01-10
  5. NEP-EXP: Experimental Economics (3) 2012-12-22 2013-01-19 2013-06-16
  6. NEP-ETS: Econometric Time Series (2) 2012-01-10 2012-02-15
  7. NEP-RMG: Risk Management (2) 2012-03-14 2012-05-08
  8. NEP-AGE: Economics of Ageing (1) 2011-05-14
  9. NEP-BEC: Business Economics (1) 2010-09-25
  10. NEP-CBE: Cognitive and Behavioural Economics (1) 2012-12-22
  11. NEP-CMP: Computational Economics (1) 2012-05-08
  12. NEP-CWA: Central and Western Asia (1) 2012-02-15
  13. NEP-INT: International Trade (1) 2013-01-19
  14. NEP-MST: Market Microstructure (1) 2008-06-27
  15. NEP-UPT: Utility Models and Prospect Theory (1) 2023-10-23

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