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A comparison of Risk Neutral Historic Distribution-, E-GARCH-and GJR-GARCH model generated volatility skews for BRICS Securities Exchange indexes

机译:风险中性历史分配,E-GARCH-and GJR-GARCH模型对金砖技术证券交换指标产生的波动性偏差

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This paper addresses a question that was raised at the ICOAE 2014, 3-5 July, Chania, Island of Crete, Greece: how do the volatility skews for the BRICS countries generated by the Risk Neutral Historic Distribution model compare to those generated by using GARCH models? More precisely, in this paper a comparison is made between the volatility skews of the BRICS countries generated by using the RNHD model and those generated by using E-GARCH and GJR-GARCH models. The effect of different interest rates on the implied volatility skews of European call options is also considered.
机译:本文讨论了一个问题,该问题在2014年7月3日至5日,克里特岛,希腊克里特岛的Chania,克里岛岛上提出:风险中性历史分布模型的城市产生的波动偏差如何与使用加法产生的人进行比较 楷模? 更精确地,在本文中,在通过使用RNHD模型产生的金砖国家的波动率偏差和使用E-GARCH和GJR-GARCH模型产生的那些之间进行比较。 还考虑了不同利率对欧洲呼叫选项的隐含波动偏差的影响。

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