Duy-Minh Dang

Welcome!

I am a Senior Lecturer with the School of Mathematics and Physics at the University of Queensland, Brisbane, Australia. I am also the Director of the Master of Financial Mathematics program.

Since 2016, I have served on the Editorial Boards of the following journals:

Journal of Computational Finance (Incisive Media).

Applied Mathematics and Computation (Elsevier).

Research interests

Computational finance
Scientific computing, numerical methods, analysis and computation
Some information about my current and past research can be found at my (no-longer updated) SSRN author page

Papers

An ε-monotone Fourier method for Guaranteed Minimum Withdrawal Benefit as a continuous impulse control problem
Yaowen Lu, Duy-Minh Dang, Peter A. Forsyth, George Labahn
[Link to preprint]
Submitted

Practical investment consequences of the scalarization parameter formulation in dynamic mean-variance portfolio optimization
Pieter M. van Staden, Duy-Minh Dang, and Peter Forsyth
[Link to preprint]
International Journal of Theoretical and Applied Finance 24:5 (2021) Article 2150029, 1-49

On the distribution of terminal wealth under dynamic mean-variance optimal investment strategies
Pieter M. van Staden, Duy-Minh Dang, and Peter Forsyth
[Link to preprint]
SIAM Journal on Financial Mathematics 12 (2021) 566-601

The surprising robustness of dynamic Mean-Variance portfolio optimization to model misspecification errors
Pieter van Staden, Duy-Minh Dang, and Peter Forsyth
[Link to preprint]
European Journal of Operational Research 289:2 (2021) 774-792

Mean-Quadratic Variation Portfolio Optimization: A desirable alternative to Time-consistent Mean-Variance Optimization?
Pieter van Staden, Duy-Minh Dang, and Peter Forsyth
[Link to preprint]
SIAM Journal on Financial Mathematics 10:3 (2019), 815-856

A Shannon wavelet method for foreign exchange optons under the Heston multi-factor CIR model
Edouard Berthe, Duy-Minh Dang, and Luis Ortiz-Gracia
[Link to preprint on SSRN]
Applied Numerical Mathematics 136 (2019), pp. 1-22

Time-consistent mean-variance portfolio allocation: a numerical impulse control approach
Pieter van Staden, Duy-Minh Dang, and Peter Forsyth
Insurance: Mathematics and Economics 83C (2018), pp. 9-28
[Link to preprint]

A dimension reduction Shannon-wavelet based method for option pricing
Duy-Minh Dang and Luis Ortiz-Gracia
Journal of Scientific Computing 75 (2) (2018), pp. 733-761
[Link to preprint on SSRN]

Partial differential equation pricing of contingent claims under stochastic correlation
Nat Leung, Christina Christara and Duy-Minh Dang
SIAM Journal on Scientific Computing 40 (1) (2018), pp. B1-B33
[Link to preprint on SSRN]

A multi-level dimension reduction Monte-Carlo method for jump-diffusion models
Duy-Minh Dang
Journal of Computational and Applied Mathematics 324 (2017), pp. 49-71
[Link to preprint on SSRN]

A dimension and variance reduction Monte Carlo method for pricing and hedging options under jump-diffusion models
Duy-Minh Dang, Ken Jackson, and Scott Sues
Applied Mathematical Finance 24 (2017), 175-215
[Link to preprint on SSRN]

Pricing American Parisian down-and-out call options
Nhat-Tan Nguyen, Xiaoping Lu, Song-Ping Zhu, and Duy-Minh Dang
Applied Mathematics and Computation 305 (2017), pp. 330-347

The 4% rule revisited: A pre-commitment optimal mean-variance approach in wealth management
Duy-Minh Dang, Peter Forsyth, and Ken Vetzal
Quantitative Finance 17(3) (2017), pp. 335-351
[Link to preprint on SSRN]

A decomposition approach via Fourier sine transform for valuing American knock-out options with time-dependent rebates
Nhat-Tan Nguyen, Duy-Minh Dang, and Tran-Vu Khanh
Journal of Computational and Applied Mathematics 317 (2017), pp. 652-671
[Link to preprint on SSRN]

Dimension and variance reduction for Monte Carlo methods for high-dimensional models in finance
Duy-Minh Dang, Ken Jackson and Mohammadreza Mohammadi
Applied Mathematical Finance 22 (5) (2016), pp. 522-552
[Link to preprint on SSRN]

Convergence of the embedded mean-variance optimal points with discrete sampling
Duy-Minh Dang, Peter Forsyth, and Yuying Li
Numerische Mathematik 132 (2016), pp. 271-302
[Link to preprint on SSRN]

Better than pre-commitment optimal mean-variance portfolio allocation: a semi-self-financing Hamilton-Jacobi-Bellman approach
Duy-Minh Dang and Peter Forsyth
European Journal of Operational Research 250 (2016), pp. 827-841
[Link to preprint on SSRN]

Numerical schemes for pricing Asian options under state-dependent regime-switching jump-diffusion models
Duy-Minh Dang, Duy Nguyen and Granville Sewell
Computers & Mathematics with Applications 71 (2016), pp. 443-458
[Link to preprint on SSRN]

An efficient numerical PDE approach for pricing foreign exchange interest rate hybrid derivatives
Duy-Minh Dang, Christina Christara, Ken Jackson and Asif Lakhany
Journal of Computational Finance 18 (4) (2015) pp. 1-55
[Link to preprint on SSRN]

Multilevel dimension reduction Monte-Carlo simulation for high-dimensional stochastic models in finance
Duy-Minh Dang, Qifan Xu and Shangzhe Wu
ICCS 2015 Proceedings, published in Procedia Computer Science 51(1), 1583-1592 (2015)
[Link to preprint on SSRN]

Continuous time mean-variance optimal portfolio allocation under jump diffusion: An numerical impulse control approach
Duy-Minh Dang and Peter Forsyth
Numerical Methods for Partial Differential Equations 30 (2014), pp. 664-698
[Link to preprint on SSRN]

GPU pricing of exotic cross-currency interest rate derivatives with a foreign exchange volatility skew model
Duy-Minh Dang, Christina Christara and Ken Jackson
Journal of Concurrency and Computation: Practice and Experience 26 (9), 1609-1625 (2014)
[Link to preprint on SSRN]

A highly efficient implementation on clusters of GPUs of PDE-based pricing methods for path-dependent foreign exchange interest rate hybrid derivatives.
Duy-Minh Dang, Christina Christara, and Ken Jackson
Springer's Lecture Notes in Computer Science (LNCS) 7975, pp. 107-126, 2013
[Link to preprint on SSRN]

An efficient GPU-based parallel algorithm for pricing multi-asset American options
Duy Minh Dang, Christina Christara and Ken Jackson (January 17, 2011)
Journal of Concurrency and Computation: Practice and Experience 24 (8) 849-866, 2012
[Link to preprint on SSRN] BIB]
An ealier version of the paper is available in the proceedings of the workshop and can be found here (DOI:10.1109/WHPCF.2010.5671831).

Adaptive and high-order methods for valuing American options
Christina Christara and Duy-Minh Dang
Journal of Computational Finance, 14(4), 73-113, 2011
[Link to preprint on SSRN]

Quadratic spline collocation for one-dimensional linear parabolic partial differential equations
Christina Christara, Tong Chen and Duy-Minh Dang
Journal of Numerical Algorithms, 53(4), 511-553, 2010
[Link to preprint on SSRN] [Journal page]

Pricing multi-asset American options on Graphics Processing Units using a PDE approach
Duy Minh Dang, Christina Christara and Ken Jackson
(Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis 2010 (SC 10), the Third workshop on High Performance Computational Finance (WHPCF'10), New Orleans, USA, November 13--19, 2010)
[Link to preprint on SSRN]

A PDE pricing framework for cross-currency interest rate derivatives with Target Redemption features
Christina Christara, Duy-Minh Dang, Ken Jackson and Asif Lakhany
Proceedings of of the International Conference of Numerical Analysis and Applied Mathematics 2010 (ICNAAM 2010), Symposium in Computational Finance, Rhodes, Greece, September 19--25, 2010
[Link to preprint on SSRN]

Pricing of cross-currency interest rate derivatives on Graphics Processing Units
Duy-Minh Dang
Proceedings of the IEEE International Parallel & Distributed Processing Symposium 2010 (IPDPS 2010), the Third International Workshop on Parallel and Distributed Computing in Finance, Atlanta, USA, April 19-23, 2010
[Link to preprint on SSRN]

A PDE pricing framework for cross-currency interest rate derivatives Duy-Minh Dang, Christina Christara, Ken Jackson and Asif Lakhany
(Best paper in Computational Finance and Business Intelligence- Proceedings of the International Conference In Computational Science 2010 (ICCS 2010), Amsterdam, May 31 - June 2, 2010)
[Link to preprint on SSRN]

A parallel implementation on GPUs of ADI finite difference methods for parabolic PDEs with applications in finance
Duy-Minh Dang, Christina Christara and Ken Jackson
Canadian Applied Mathematics Quarterly, 17(4), 627-659, 2009
[Link to prerprint on SSRN]

Spline collocation for parabolic partial differential equations
Christina Christara, Tong Chen and Duy-Minh Dang
Proceedings of the 2007 Numerical Analysis Conference, Kalamata, Greece, September 3-7, 2007, pgs 45-50

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Students
PostDoc

Xiaoshu Wang (April 2016 - April 2017)

PhDs

Pieter van Staden (April 2016 - March 2020, computational finance, University of Queensland, principal supervisor). Now a PostDoc at the University of Waterloo.

Fengjing (Jenny) Hu (Septermber 2016 - July 2020, business, University of Queensland, associate supervisor).

Yaowen Lu (August 2017 - current, computational finance, University of Queensland, principal supervisor)

Hanwen Zhang (September 2017 - current, computational finance, University of Queensland, principal supervisor)

Selected Awards and Grants

UQ Early Career Researcher (2015-2016)

NSERC PostDoctoral Fellowship

Best paper award in Computational Finance and Business Intelligence, Conference In Computational Science (ICCS), Amsterdam, May 31 - June 2, 2010.

Alexander Graham Bell Canada Graduate Scholarship (NSERC CGS D)

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Teaching
University of Queensland

MATH3090/7039: Financial Mathematics) (2015-2018)
MATH4090/7049: Computation in Financial Mathematics (2014-current)
MATH4091/7091: Financial Calculus (2018-current)

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