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Are Volatility Expectations in Different Countries Interdependent? A Data-Driven Solution to Structural VAR Identification for Implied Equity Volatility Indices

机译:不同国家的波动预期相互依赖吗?数据驱动的隐含股指波动指数结构性VAR识别解决方案

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摘要

Over the past couple of decades, the number of volatility indices has increased rapidly. These indices seek to represent the market’s expectation of realized volatility over the coming month, based on the prices of options traded on each underlying equity index. Although the dynamics of realized volatility spillover have been studied extensively, very few studies exists that examine the spillover between these volatility indices. By using DAG-based structural vector autoregression, this paper provides evidence that implied volatility spillover differs from realized volatility spillover. Through solving the well-known VAR identification problem for these indices, this paper finds that Asia, more specifically Hong Kong, plays a central role in implied volatility spillover during and after the 2008 financial crisis.
机译:在过去的几十年中,波动率指数的数量迅速增加。这些指数旨在根据每个基础股票指数交易的期权价格,代表市场对未来一个月实现波动的预期。尽管已广泛研究了已实现的波动溢出的动力学,但很少有研究检查这些波动指数之间的溢出。通过使用基于DAG的结构矢量自回归,本文提供了隐含波动率溢出与实际波动率溢出不同的证据。通过解决这些指数的著名VAR识别问题,本文发现亚洲(尤其是香港)在2008年金融危机期间及之后的隐含波动率溢出中起着核心作用。

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    de Silva, Timothy H;

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  • 年度 2018
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