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Volatility Spillovers in the CSI300 Futures and Spot Markets in China: Empirical Study Based on Discrete Wavelet Transform and VAR-BEKK-bivariate GARCH Model

机译:中国沪深300期货和现货市场的波动性溢出:基于离散小波变换和VAR-BEKK-双变量GARCH模型的实证研究

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China's introduction of CSI300 futures in 2010 has aroused widespread attention to whether the stock index futures market has effectively stabilized price fluctuations of its spot market in the past four years. Since the prices of CSI300 futures and CSI300 contain numerous noises and fluctuate drastically over time, this paper applies discrete wavelet transform to denoise these series by decomposing and reconstructing their return. Further, a VAR-BEKK-bivariate GARCH model is established to study the volatility spillover effects. Empirical results show that a bi-directional volatility spillover effect exists between CSI300 futures and the spot market, but the former affects the latter in a more obvious way. The introduction of CSI300 futures also contributes to the stabilization of the stock market.
机译:中国在2010年推出CSI300期货引起了人们的广泛关注,即股指期货市场在过去四年中是否有效地稳定了其现货市场的价格波动。由于CSI300期货和CSI300的价格包含大量噪声,并且会随时间剧烈波动,因此本文采用离散小波变换通过分解和重构其收益来对这些序列进行消噪。此外,建立了VAR-BEKK-双变量GARCH模型来研究波动性溢出效应。实证结果表明,沪深300期货与现货市场之间存在双向波动溢出效应,但前者对后者的影响更为明显。 CSI300期货的推出也有助于稳定股市。

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