Volatility contagion: A range-based volatility approach

被引:43
|
作者
Chiang, Min-Hsien [1 ]
Wang, Li-Min [1 ]
机构
[1] Natl Cheng Kung Univ, Inst Int Business, Tainan 70101, Taiwan
关键词
LCARR; Price range; Smooth transition copula; Subprime mortgage crisis; TVLCARR; Volatility contagion; EQUITY MARKETS; REALIZED RANGE; MODELS; VARIANCE; DEPENDENCE; PARAMETER; RETURN; TESTS;
D O I
10.1016/j.jeconom.2011.07.004
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article proposes a new approach to evaluate volatility contagion in financial markets. A time-varying logarithmic conditional autoregressive range model with the lognormal distribution (TVLCARR) is proposed to capture the possible smooth transition in the range process. Additionally, a smooth transition copula function is employed to detect the volatility contagion between financial markets. The approach proposed is applied to the stock markets of the G7 countries to investigate the volatility contagion due to the subprime mortgage crisis. Empirical evidence shows that volatility is contagious from the US market to several markets examined. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:175 / 189
页数:15
相关论文
共 50 条
  • [1] A range-based volatility approach to measuring volatility contagion in securitized real estate markets
    Anderson, Randy I.
    Chen, Yi-Chi
    Wang, Li-Min
    [J]. ECONOMIC MODELLING, 2015, 45 : 223 - 235
  • [2] Financial volatility forecasting with range-based autoregressive volatility model
    Li, Hongquan
    Hong, Yongmiao
    [J]. FINANCE RESEARCH LETTERS, 2011, 8 (02) : 69 - 76
  • [3] Holidays, weekends and range-based volatility
    Diaz-Mendoza, Ana-Carmen
    Pardo, Angel
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2020, 52
  • [4] Properties of range-based volatility estimators
    Molnar, Peter
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2012, 23 : 20 - 29
  • [5] The economic value of volatility timing using a range-based volatility model
    Chou, Ray Yeutien
    Liu, Nathan
    [J]. JOURNAL OF ECONOMIC DYNAMICS & CONTROL, 2010, 34 (11): : 2288 - 2301
  • [6] Range-based volatility, expected stock returns, and the low volatility anomaly
    Blau, Benjamin M.
    Whitby, Ryan J.
    [J]. PLOS ONE, 2017, 12 (11):
  • [7] Range-based estimation of stochastic volatility models
    Alizadeh, S
    Brandt, MW
    Diebold, FX
    [J]. JOURNAL OF FINANCE, 2002, 57 (03): : 1047 - 1091
  • [8] Optimal nonparametric range-based volatility estimation
    Bollerslev, Tim
    Li, Jia
    Li, Qiyuan
    [J]. JOURNAL OF ECONOMETRICS, 2024, 238 (01)
  • [9] Estimation and forecasting of stock volatility with range-based estimators
    Jacob, Joshy
    Vipul
    [J]. JOURNAL OF FUTURES MARKETS, 2008, 28 (06) : 561 - 581
  • [10] Comparison of range-based volatility estimators against integrated volatility in European emerging markets
    Arneric, Josip
    Matkovic, Mario
    Soric, Petar
    [J]. FINANCE RESEARCH LETTERS, 2019, 28 : 118 - 124