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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/104710


    Title: A noise-robust estimator of volatility based on interquantile ranges
    Authors: 葉錦徽;Yeh, Jin-Huei;Wang, Jying-Nan;Kuan, Chung-Ming
    Contributors: 管理學院財務金融學系
    Keywords: Accounting;Accounting/Auditing;Approximation;Corporate Finance;Econometrics;Economics and Finance;Estimating techniques;Estimation;Finance;Noise;Operations Research/Decision Theory;Original Research;Prices;Quantitative analysis;Rates of return;Securities markets;Simulation;Studies;Variance;Volatility
    Date: 2014-11-01
    Issue Date: 2026-04-23 11:56:12 (UTC+8)
    Publisher: Springer New York;Boston: Springer US
    Abstract: 摘要: This paper proposes a new class of estimators based on the interquantile range of intraday returns, referred to as interquantile range based volatility (IQRBV), to estimate the integrated daily volatility. More importantly and intuitively, it is shown that a properly chosen IQRBV is jump-free for its trimming of the intraday extreme two tails that utilize the range between symmetric quantiles. We exploit its approximation optimality by examining a general class of distributions from the Pearson type IV family and recommend using IQRBV .04 as the integrated variance estimate. Both our simulation and the empirical results highlight interesting features of the easy-to-implement and model-free IQRBV over the other competing estimators that are seen in the literature.
    其他題名: Rev Quant Finan Acc
    出版者: Boston: Springer US
    出版日期: 2014-11-01
    出處: Review of quantitative finance and accounting, 2014-11, Vol.43 (4), p.751-779
    資源來源: SpringerLink Journals
    版權: Springer Science+Business Media New York 2013
    版權: Springer Science+Business Media New York 2014
    識別號: ISSN: 0924-865X
    識別號: EISSN: 1573-7179
    識別號: DOI: 10.1007/s11156-013-0391-7
    Appears in Collections:[Department of Finance] journal & Dissertation

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