Corpus ID: 209516053

Approximating intractable short ratemodel distribution with neural network

@article{Knezevic2019ApproximatingIS,
  title={Approximating intractable short ratemodel distribution with neural network},
  author={Anna Knezevic and N. Dokuchaev},
  journal={ArXiv},
  year={2019},
  volume={abs/1912.12615}
}
We propose an algorithm which predicts each subsequent time step relative to the previous timestep of intractable short rate model (when adjusted for drift and overall distribution of previous percentile result) and show that the method achieves superior outcomes to the unbiased estimate both on the trained dataset and different validation data. 

References

SHOWING 1-10 OF 12 REFERENCES
Large-Scale Machine Learning with Stochastic Gradient Descent
  • 3,643
  • PDF
Stochastic Gradient Descent
  • 62
Connectionist Learning Procedures
  • 1,469
  • PDF
A sigmoid approximation of the standard normal integral
  • 36
  • Highly Influential
  • PDF
Tests of non linear Gaussian term structure models
  • 3
  • PDF
Binomial term structure models
  • 7
  • PDF
Bond and Option Pricing when Short Rates are Lognormal
  • 649
Interest-Rate Models: Theory and Practice
  • 1,297
An introduction to numerical methods for stochastic differential equations
  • 231
  • PDF
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