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Cody Hyndman
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Year
NEU: A meta-algorithm for universal UAP-invariant feature representation
A Kratsios, C Hyndman
Journal of Machine Learning Research 22 (92), 1-51, 2021
342021
Parameter estimation in commodity markets: A filtering approach
RJ Elliott, CB Hyndman
Journal of Economic Dynamics and Control 31 (7), 2350-2373, 2007
252007
Deep arbitrage-free learning in a generalized HJM framework via arbitrage-regularization
A Kratsios, C Hyndman
Risks 8 (2), 40, 2020
17*2020
Valuation perspectives and decompositions for variable annuities with gmwb riders
CB Hyndman, M Wenger
Insurance: Mathematics and Economics 55, 283-290, 2014
162014
Gaussian factor models—futures and forward prices
CB Hyndman
IMA Journal of Management Mathematics 18 (4), 353-369, 2007
132007
A convolution method for numerical solution of backward stochastic differential equations
CB Hyndman, PO Ngou
Methodology and Computing in Applied Probability 19 (1), 1-29, 2017
122017
A forward–backward SDE approach to affine models
CB Hyndman
Mathematics and Financial Economics 2, 107-128, 2009
112009
Forward–backward SDEs and the CIR model
CB Hyndman
Statistics & probability letters 77 (17), 1676-1682, 2007
102007
A Fourier interpolation method for numerical solution of FBSDEs: Global convergence, stability, and higher order discretizations
P Oyono Ngou, C Hyndman
Journal of Risk and Financial Management 15 (9), 388, 2022
7*2022
Pricing and hedging GMWB riders in a binomial framework
C Hyndman, M Wenger
Working paper, 2013
6*2013
The entropic measure transform
R Wang, C Hyndman, A Kratsios
Canadian Journal of Statistics 48 (1), 97-129, 2020
32020
Affine futures and forward prices.
CB Hyndman
32005
Explicit solutions of quadratic FBSDEs arising from quadratic term structure models
CB Hyndman, X Zhou
Stochastic Analysis and Applications 33 (3), 464–492, 2015
22015
STOCHASTIC JACOBIANS IN AFFINE TERM-STRUCTURE MODELS: A LOCAL PROPERTY
CB HYNDMAN
Communications on Stochastic Analysis 5 (2), 419-430, 2011
22011
Arbitrage-free yield curve and bond price forecasting by deep neural networks
C Hyndman
Concordia University. https://www. fields. utoronto. ca/talk-media/1/43/98 …, 2021
12021
Generative OrnsteinUhlenbeck Markets via Geometric Deep Learning
A Kratsios, C Hyndman
International Conference on Geometric Science of Information, 605-614, 2023
2023
Optimal annuitization post-retirement with labor income
X Gao, C Hyndman, TA Pirvu, P Jevtić
arXiv preprint arXiv:2202.04220, 2022
2022
Special issue on Stochastic Models, Statistics and Finance: Guest Editor’s Introduction
C Hyndman
2020
Non-Euclidean Conditional Expectation and Filtering
A Kratsios, CB Hyndman
arXiv preprint arXiv:1710.05829, 2017
2017
Trading against disorderly liquidation of a large position under asymmetric information and market impact
C Hillairet, C Hyndman, Y Jiao, R Wang
ESAIM: Proceedings and Surveys 56, 42-71, 2017
2017
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