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20162022
most citedIs Volatility Rough ?

14 citations · 15 across the 5 of their papers we have counts for

collaborators

5 papers

math.CA2022

Note on Error Bound for Trace Approximation of Products of Toeplitz Matrices

Tetsuya Takabatake

We investigate error orders for integral limit approximations to traces of products of Toeplitz matrices generated by integrable functions on having some singularities at…

math.ST2022★ 1 cited

Quasi-Likelihood Analysis of Fractional Brownian Motion with Constant Drift under High-Frequency Observations

Tetsuya Takabatake

Consider an estimation of the Hurst parameter and the volatility parameter for a fractional Brownian motion with a drift term under high-frequency observations wi…

math.ST2022

Asymptotically Efficient Estimation of Ergodic Rough Fractional Ornstein-Uhlenbeck Process under Continuous Observations

Kohei Chiba, Tetsuya Takabatake

We consider the problem of asymptotically efficient estimation of drift parameters of the ergodic fractional Ornstein-Uhlenbeck process under continuous observations when the Hurst…

math.ST2019★ 14 cited

Is Volatility Rough ?

Masaaki Fukasawa, Tetsuya Takabatake, Rebecca Westphal

Rough volatility models are continuous time stochastic volatility models where the volatility process is driven by a fractional Brownian motion with the Hurst parameter smaller tha…

math.ST2016

Asymptotically efficient estimators for self-similar stationary Gaussian noises under high frequency observations

Masaaki Fukasawa, Tetsuya Takabatake

This paper proposes feasible asymptotically efficient estimators for a certain class of Gaussian noises with self-similar and stationary properties, which includes the fractional G…