Parameter estimation and bias correction for diffusion processes

@inproceedings{Tang2009ParameterEA,
  title={Parameter estimation and bias correction for diffusion processes},
  author={Cheng Yong Tang and Song Xi Chen},
  year={2009}
}
This paper considers parameter estimation for continuous-time diffusion processes which are commonly used to model dynamics of financial securities including interest rates. To understand why the drift parameters are more difficult to estimate than the diffusion parameter, as observed in previous studies, we first develop expansions for the bias and variance of parameter estimators for two of the most employed interest rate processes, Vasicek and CIR processes. Then, we study the first order… CONTINUE READING
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The pricing of options and corporate liabilities

  • F. Black, M. Scholes
  • Journal of Political Economy
  • 1973
Highly Influential
3 Excerpts

Estimating affine multifactor term structure models using closed-form likelihood expansions

  • Y. Aït-Sahalia, R. Kimmel
  • 2008
Highly Influential
6 Excerpts

Tensor Methods in Statistics

  • P. McCullagh
  • 1987
Highly Influential
2 Excerpts

Continuous time stochastic models and issues of aggregation over time

  • A. R. Bergstrom
  • Handbook of Econometrics,
  • 1984
Highly Influential
2 Excerpts

Estimating diffusionswith discretely and possibly randomly spaced data: A general theory

  • Y. Aït-Sahalia, P. Mykland
  • Annals of Statistics
  • 2004
3 Excerpts

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