Detecting factors of quadratic variation in the presence of …

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6
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2021
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  • DOI 10.1007/s42081-020-00104-w
  • OpenAlex ID W3127274554
  • Type Article
  • Language EN
  • Published 04 Feb 2021
  • Volume 4 (1)
  • Pages 601–641
  • Source Japanese Journal of Statistics and Data …
  • Publisher Springer Science+Business Media
  • FWCI 1.24
  • Countries 1
  • Institutions 2
  • Added 15 Feb 2021
  • Updated 16 Oct 2026
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Detecting factors of quadratic variation in the presence of market microstructure noise

Article 2021 EN Hybrid

Abstract A method of detecting latent factors of quadratic variation (QV) of Itô semimartingales from a set of discrete observations is developed when the market microstructure noise is present. We propose a new way to determine the number of latent factors of quadratic co-variations of asset prices based on the SIML (separating information maximum likelihood) method by Kunitomo et al. (Separating…

6

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39

References

2

Authors

1.24

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2 authors
#AuthorInstitutionsORCID
1 Naoto Kunitomo Corresponding Meiji University (JP)
2 Daisuke Kurisu Tokyo Institute of Technology (JP)

Data: OpenAlex