Estimation of the Hurst Parameter in Spot Volatility

被引:2
|
作者
Li, Yicun [1 ]
Teng, Yuanyang [2 ]
机构
[1] Zhejiang Univ City Coll, Business Sch, Hangzhou Yiyuan Technol Co Ltd, Hangzhou 310015, Peoples R China
[2] Zhejiang Univ, Sch Management, Hangzhou Yiyuan Technol Co Ltd, Hangzhou 310027, Peoples R China
关键词
spot volatility; change of frequency; roughness of volatility; hurst exponent; Chinese A-share market; STOCHASTIC VOLATILITY; LONG-MEMORY; BEHAVIOR; OPTIONS; JUMPS;
D O I
10.3390/math10101619
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper contributes in three stages in a logic of the cognitive process: we firstly propose a new estimation of Hurst exponent by changing frequency method which is purely mathematical. Then we want to check if the new Hurst is efficient, so we prove the advantages of this new Hurst in asymptotic variance in the perspective compared with other two Hurst estimator. However, a purely mathematical game is not enough, a good estimation should be proven by reality, so we apply the new Hurst estimator into truncated and non-truncated spot volatility which fills the gap of previous literatures using 5-min price data (Source: Wind Financial Terminal) of 10 Chinese A-share industry indices from 1 January 2005 until 31 December 2020.
引用
收藏
页数:26
相关论文
共 50 条
  • [21] Simulation of Fractional Brownian Motion and Estimation of Hurst Parameter
    Pashko, Anatolii
    Sinyayska, Olga
    Oleshko, Tetiana
    [J]. 15TH INTERNATIONAL CONFERENCE ON ADVANCED TRENDS IN RADIOELECTRONICS, TELECOMMUNICATIONS AND COMPUTER ENGINEERING (TCSET - 2020), 2020, : 632 - 637
  • [22] Comparative Studies of Methods for Accurate Hurst Parameter Estimation
    Kulikovs, M.
    Sharkovsky, S.
    Petersons, E.
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2010, (07) : 113 - 116
  • [23] Estimation of the Hurst parameter in the simultaneous presence of jumps and noise
    Liu, Guangying
    Zhang, Lixin
    Wang, Min
    [J]. STATISTICS, 2018, 52 (05) : 1156 - 1192
  • [24] Estimation of Hurst Parameter in Longitudinal Data with Long Memory
    Kim, Yoon Tae
    Park, Hyun Suk
    [J]. COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, 2015, 22 (03) : 295 - 304
  • [25] Uniform convergence rates for spot volatility estimation
    Li, Chen
    Li, Pengtao
    Zhang, Yilun
    [J]. PROBABILITY UNCERTAINTY AND QUANTITATIVE RISK, 2023, 8 (03) : 321 - 332
  • [26] Spot volatility estimation using delta sequences
    Mancini, Cecilia
    Mattiussi, Vanessa
    Reno, Roberto
    [J]. FINANCE AND STOCHASTICS, 2015, 19 (02) : 261 - 293
  • [27] Estimation of spot volatility with superposed noisy data
    Liu, Qiang
    Liu, Yiqi
    Liu, Zhi
    Wang, Li
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2018, 44 : 62 - 79
  • [28] Spot volatility estimation using delta sequences
    Cecilia Mancini
    Vanessa Mattiussi
    Roberto Renò
    [J]. Finance and Stochastics, 2015, 19 : 261 - 293
  • [29] Spot volatility estimation using the Laplace transform
    Curato, Imma Valentina
    Mancino, Maria Elvira
    Recchioni, Maria Cristina
    [J]. ECONOMETRICS AND STATISTICS, 2018, 6 : 22 - 43
  • [30] High-frequency volatility of volatility estimation free from spot volatility estimates
    Sanfelici, Simona
    Curato, Imma Valentina
    Mancino, Maria Elvira
    [J]. QUANTITATIVE FINANCE, 2015, 15 (08) : 1331 - 1345