On the relationship between conditional jump intensity and diffusive volatility

被引:2
|
作者
Li, Gang [1 ]
Zhang, Chu [2 ]
机构
[1] Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
关键词
NONPARAMETRIC-ESTIMATION; AMERICAN OPTIONS; DYNAMICS; MODELS; IMPLICIT; RETURNS; MARKETS; PRICES; NOISE; SPOT;
D O I
10.1016/j.jempfin.2016.04.001
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
In standard options pricing models that include jump components to capture large price changes, the conditional jump intensity is typically specified as an increasing function of the diffusive volatility. We conduct model-free estimation and tests of the relationship between jump intensity and diffusive volatility. Simulation analysis confirms that the tests have power to reject the null hypothesis of no relationship if data are generated with the relationship. Applying the method to a few stock indexes and individual stocks, however, we find little evidence that jump intensity positively depends on diffusive volatility as a general property of the jump intensity. The findings of the paper give impetus to improving the specification of jump dynamics in options pricing models. (c) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:196 / 213
页数:18
相关论文
共 50 条
  • [21] Time-varying jump intensity and volatility forecasting of crude oil returns
    Zhang, Lei
    Chen, Yan
    Bouri, Elie
    ENERGY ECONOMICS, 2024, 129
  • [22] Effects of Japanese intervention on yen/dollar exchange rate volatility: a conditional jump dynamics approach
    Wan, Jer-Yuh
    Kao, Chung-Wei
    APPLIED ECONOMICS LETTERS, 2010, 17 (04) : 367 - 373
  • [23] The dynamic relationship between implied volatility and realized volatility.
    Christensen, BJ
    Prabhala, NR
    JOURNAL OF FINANCE, 1996, 51 (03): : 1033 - 1033
  • [24] European equity market integration and joint relationship of conditional volatility and correlations
    Virk, Nader
    Javed, Farrukh
    JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2017, 71 : 53 - 77
  • [25] The relationship between implied volatility and autocorrelation
    Faff, Robert W.
    McKenzie, Michael D.
    INTERNATIONAL JOURNAL OF MANAGERIAL FINANCE, 2007, 3 (02) : 191 - +
  • [26] Conditional Volatility Targeting
    Bongaerts, Dion
    Kang, Xiaowei
    van Dijk, Mathijs
    FINANCIAL ANALYSTS JOURNAL, 2020, 76 (04) : 54 - 71
  • [27] Long memory version of stochastic volatility jump-diffusion model with stochastic intensity
    Fallah, Somayeh
    Mehrdoust, Farshid
    ESTUDIOS DE ECONOMIA APLICADA, 2020, 38 (02):
  • [28] Dynamic volatility management: from conditional volatility to realized volatility
    Zhang, Rongju
    Langrene, Nicolas
    Tian, Yu
    Zhu, Zili
    JOURNAL OF INVESTMENT STRATEGIES, 2019, 8 (02): : 37 - 67
  • [29] Conditional volatility targeting strategy considering jump effects: Evidence from sustainable ESG equity index
    Huang, Jr-Wei
    Yang, Sharon S.
    Cheng, Hung-Wen
    PACIFIC-BASIN FINANCE JOURNAL, 2024, 88