Financial volatility modeling with option-implied information and important macro-factors

被引:1
|
作者
Yfanti, Stavroula [1 ]
Karanasos, Menelaos [2 ]
机构
[1] Loughborough Univ, Loughborough LE11 3TU, Leics, England
[2] Brunel Univ, Uxbridge, Middx, England
关键词
Economic policy uncertainty; high-frequency data; implied volatility; macro-financial linkages; realized variance; risk management; STOCK-MARKET VOLATILITY; ECONOMIC-POLICY UNCERTAINTY; REALIZED VOLATILITY; ASYMPTOTIC THEORY; RETURN VARIANCE; GARCH; EXCHANGE; RISK; INFERENCE; PRICES;
D O I
10.1080/01605682.2021.1966327
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The research debate on the informational content embedded in option prices mostly approves the incremental predictive power of implied volatility estimates for financial volatility forecasting beyond that contained in GARCH and realized variance models. Contributing to this ongoing debate, we introduce the novel AIM-HEAVY model, a tetravariate system with asymmetries, option-implied volatility, and economic uncertainty variables beyond daily and intra-daily dispersion measures included in the benchmark HEAVY specification. We associate financial with macroeconomic uncertainties to explore the macro-financial linkages in the high-frequency domain. In this vein, we further focus on economic factors that exacerbate stock market volatility and represent major threats to financial stability. Hence, our findings are directly connected to the current world-wide Coronavirus outbreak. Financial volatilities are already close to their crisis-peaks amid the generalized fear about controversial economic policies to support societies and the financial system, especially in the case of the heavily criticized UK authorities' delayed and limited response.
引用
收藏
页码:2129 / 2149
页数:21
相关论文
共 50 条
  • [1] The information content of option-implied information for volatility forecasting with investor sentiment
    Seo, Sung Won
    Kim, Jun Sik
    [J]. JOURNAL OF BANKING & FINANCE, 2015, 50 : 106 - 120
  • [2] Efficient option-implied volatility estimators
    Corrado, CJ
    Miller, TW
    [J]. JOURNAL OF FUTURES MARKETS, 1996, 16 (03) : 247 - 272
  • [3] A computation of implied volatility leveraging model-free option-implied information
    Kamau, Muoria
    Mwaniki, Ivivi J.
    Irungu, Irene
    Kithuka, Richard
    [J]. RESEARCH IN MATHEMATICS, 2024, 11 (01):
  • [4] How important is option-implied volatility for pricing credit default swaps?
    Cao, Charles
    Yu, Fan
    Zhong, Zhaodong
    [J]. PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON FINANCIAL ENGINEERING AND RISK MANAGEMENT 2008, 2008, : 7 - 13
  • [5] Option-implied volatility spillover indices for FX risk factors
    Grobys, Klaus
    Heinonen, Jari-Pekka
    [J]. ECONOMICS LETTERS, 2017, 157 : 83 - 87
  • [6] Uncertainty and the volatility forecasting power of option-implied volatility
    Jeon, Byounghyun
    Seo, Sung Won
    Kim, Jun Sik
    [J]. JOURNAL OF FUTURES MARKETS, 2020, 40 (07) : 1109 - 1126
  • [7] The information content of option-implied volatility for credit default swap valuation
    Cao, Charles
    Yu, Fan
    Zhong, Zhaodong
    [J]. JOURNAL OF FINANCIAL MARKETS, 2010, 13 (03) : 321 - 343
  • [8] Extrapolation and option-implied kurtosis in volatility forecasting
    Pan, Ging-Ginq
    Shiu, Yung -Ming
    Wu, Tu-Cheng
    [J]. PACIFIC-BASIN FINANCE JOURNAL, 2024, 84
  • [9] The Term Structure of Option-Implied Volatility and Future Realized Volatility
    Shi, Yukun
    Zhang, Hao
    Xu, Yaofei
    Zhao, Yang
    [J]. EMERGING MARKETS FINANCE AND TRADE, 2019, 55 (13) : 2997 - 3022
  • [10] Information content of option-implied probabilities
    Orosi, Greg
    [J]. 3RD INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND STATISTICS, 2018, 1132