Bernoulli

  • Bernoulli
  • Volume 20, Number 2 (2014), 623-644.

Statistical convergence of Markov experiments to diffusion limits

Valentin Konakov, Enno Mammen, and Jeannette Woerner

Full-text: Open access

Abstract

Assume that one observes the $k\text{th},2k\text{th},\ldots,nk\text{th}$ value of a Markov chain $X_{1,h},\ldots ,X_{nk,h}$. That means we assume that a high frequency Markov chain runs in the background on a very fine time grid but that it is only observed on a coarser grid. This asymptotics reflects a set up occurring in the high frequency statistical analysis for financial data where diffusion approximations are used only for coarser time scales. In this paper, we show that under appropriate conditions the $\mathrm{L}_{1}$-distance between the joint distribution of the Markov chain and the distribution of the discretized diffusion limit converges to zero. The result implies that the LeCam deficiency distance between the statistical Markov experiment and its diffusion limit converges to zero. This result can be applied to Euler approximations for the joint distribution of diffusions observed at points $\Delta,2\Delta,\ldots ,n\Delta$. The joint distribution can be approximated by generating Euler approximations at the points $\Delta k^{-1},2\Delta k^{-1},\ldots ,n\Delta$. Our result implies that under our regularity conditions the Euler approximation is consistent for $n\to\infty$ if $nk^{-2}\to0$.

Article information

Source
Bernoulli, Volume 20, Number 2 (2014), 623-644.

Dates
First available in Project Euclid: 28 February 2014

Permanent link to this document
https://projecteuclid.org/euclid.bj/1393594000

Digital Object Identifier
doi:10.3150/12-BEJ500

Mathematical Reviews number (MathSciNet)
MR3178512

Zentralblatt MATH identifier
1321.60010

Keywords
deficiency distance diffusion processes Euler approximations high frequency time series Markov chains

Citation

Konakov, Valentin; Mammen, Enno; Woerner, Jeannette. Statistical convergence of Markov experiments to diffusion limits. Bernoulli 20 (2014), no. 2, 623--644. doi:10.3150/12-BEJ500. https://projecteuclid.org/euclid.bj/1393594000


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