Semimartingale properties of a generalised fractional Brownian motion and its mixtures with applications in asset pricing

  • Tomoyuki Ichiba
  • , Guodong Pang
  • , Murad S. Taqqu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We study the semimartingale properties of the generalised fractional Brownian motion (GFBM) introduced by Pang and Taqqu (High Freq. 2:95–112, 2019) and discuss applications of GFBM and its mixtures to financial asset pricing. The GFBM X is self-similar and has non-stationary increments, whose Hurst index H∈(0,1) is determined by two parameters. We identify the regions of these two parameter values where GFBM is a semimartingale with respect to its natural filtration FX. We next study the mixed process Y made up of an independent BM and a GFBM and identify the range of parameters for it to be an FY-semimartingale, which leads to H∈(1/2,1) for GFBM. We also derive the associated equivalent Brownian measure. This result is in great contrast with the mixed FBM with H∈{1/2}∪(3/4,1] proved by Cheridito (Bernoulli 7:913–934, 2001) and shows the significance of the additional parameter introduced in GFBM. We then study semimartingale asset pricing theory with the mixed GFBM, in the presence of long-range dependence, and applications in option pricing and portfolio optimisation. Finally, we discuss the implications on arbitrage theory of using GFBM, providing in particular an example of a semimartingale asset pricing model with long-range dependence without arbitrage.

Original languageEnglish (US)
Pages (from-to)757-789
Number of pages33
JournalFinance and Stochastics
Volume29
Issue number3
DOIs
StatePublished - Jun 2025

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Finance
  • Statistics, Probability and Uncertainty

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