Properties of a new family of volatility sign models

被引:0
|
作者
Thavaneswaran, A. [1 ]
Appadoo, S. S.
机构
[1] Univ Manitoba, Dept Stat, Winnipeg, MB R3T 2N2, Canada
[2] Univ Manitoba, Dept Supply Chain Management, Winnipeg, MB R3T 2N2, Canada
关键词
sign GARCH model; kurtosis and sign RCA models;
D O I
10.1016/j.camwa.2006.07.001
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A rapid development of time series models and methods addressing nonlinearity in computational finance and econometrics are recently reported in the financial literature. The nonlinear theory either extends and complements existing time series methodology by introducing more general structures or provides an alternative framework (see [1,2]). This article considers moment properties as well as the kurtosis of various types of volatility sign models, including the sign RCA models and sign GARCH models. The kurtosis of the classical RCA model of Nicholls and Quinn [3] is shown to be a special case of the sign RCA model. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:809 / 818
页数:10
相关论文
共 50 条
  • [41] Family of spherical models with special gravitational properties
    B. P. Kondratyev
    [J]. Astronomy Letters, 2015, 41 : 85 - 94
  • [42] Dynamic properties in a family of competitive growing models
    Horowitz, CM
    Albano, EV
    [J]. PHYSICAL REVIEW E, 2006, 73 (03):
  • [43] Family of spherical models with special gravitational properties
    Kondratyev, B. P.
    [J]. ASTRONOMY LETTERS-A JOURNAL OF ASTRONOMY AND SPACE ASTROPHYSICS, 2015, 41 (3-4): : 85 - 94
  • [44] Maximally Autocorrelated Power Transformations: A Closer Look at the Properties of Stochastic Volatility Models
    Ruiz, Esther
    Perez, Ana
    [J]. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2012, 16 (03):
  • [45] Stochastic volatility models for the implied correlation index. Evidence, properties and pricing
    Escobar, Marcos
    Fang, Lin
    [J]. FINANCE RESEARCH LETTERS, 2020, 35
  • [46] Finite sample properties of a QML estimator of stochastic volatility models with long memory
    Pérez, A
    Ruiz, E
    [J]. ECONOMICS LETTERS, 2001, 70 (02) : 157 - 164
  • [47] Forecasting Stock Return Volatility: A Comparison of GARCH, Implied Volatility, and Realized Volatility Models
    Kambouroudis, Dimos S.
    McMillan, David G.
    Tsakou, Katerina
    [J]. JOURNAL OF FUTURES MARKETS, 2016, 36 (12) : 1127 - 1163
  • [48] Extremes of stochastic volatility models
    Breidt, FJ
    Davis, RA
    [J]. ANNALS OF APPLIED PROBABILITY, 1998, 8 (03): : 664 - 675
  • [49] On the applicability of stochastic volatility models
    Kim, Myung Suk
    Wang, Suojin
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 51 (04) : 2210 - 2217
  • [50] Level changes in volatility models
    Craioveanu, Mihaela
    Hillebrand, Eric
    [J]. ANNALS OF FINANCE, 2012, 8 (2-3) : 277 - 308