The Fourier estimation method with positive semi-definite estimators
Jir\^o Akahori, Nien-Lin Liu, Maria Elvira Mancino, Yukie Yasuda

TL;DR
This paper introduces a modified Fourier estimation method for spot volatility that guarantees positive semi-definite estimators, reducing computational costs through factorization.
Contribution
The paper proposes a slight modification to the Fourier estimation method ensuring non-negative definite estimators and improved computational efficiency.
Findings
Estimators are always positive semi-definite.
Factorization reduces computational cost.
Method maintains accuracy of volatility estimation.
Abstract
In this paper we present a slight modification of the Fourier estimation method of the spot volatility (matrix) process of a continuous It\^o semimartingale where the estimators are always non-negative definite. Since the estimators are factorized, computational cost will be saved a lot.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Mathematical Dynamics and Fractals
