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Main Author: Yano, Toru
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.17187
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author Yano, Toru
author_facet Yano, Toru
contents Volatility means the degree of variation of a stock price which is important in finance. Realized Volatility (RV) is an estimator of the volatility calculated using high-frequency observed prices. RV has lately attracted considerable attention of econometrics and mathematical finance. However, it is known that high-frequency data includes observation errors called market microstructure noise (MN). Nagakura and Watanabe[2015] proposed a state space model that resolves RV into true volatility and influence of MN. In this paper, we assume a dependent MN that autocorrelates and correlates with return as reported by Hansen and Lunde[2006] and extends the results of Nagakura and Watanabe[2015] and compare models by simulation and actual data.
format Preprint
id arxiv_https___arxiv_org_abs_2408_17187
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle State Space Model of Realized Volatility under the Existence of Dependent Market Microstructure Noise
Yano, Toru
Econometrics
Functional Analysis
Volatility means the degree of variation of a stock price which is important in finance. Realized Volatility (RV) is an estimator of the volatility calculated using high-frequency observed prices. RV has lately attracted considerable attention of econometrics and mathematical finance. However, it is known that high-frequency data includes observation errors called market microstructure noise (MN). Nagakura and Watanabe[2015] proposed a state space model that resolves RV into true volatility and influence of MN. In this paper, we assume a dependent MN that autocorrelates and correlates with return as reported by Hansen and Lunde[2006] and extends the results of Nagakura and Watanabe[2015] and compare models by simulation and actual data.
title State Space Model of Realized Volatility under the Existence of Dependent Market Microstructure Noise
topic Econometrics
Functional Analysis
url https://arxiv.org/abs/2408.17187