中国国债期货与现货市场间的动态价格发现与不对称波动性溢出

Translated title of the contribution: 中国国债期货与现货市场间的动态价格发现与不对称波动性溢出: Dynamic Price Discovery and Asymmetric Volatility Transmission Between China's Treasury Bond Futures and Cash Markets

周颖刚, 贝泽赟*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study investigates the price discovery performance and volatility transmission between China's T-bond futures markets and underlying spot markets reprehensively by a recursive information leadership share model and an asymmetric VECMBEKK-GARCH model. The 5-year and 10-year T-Bond futures markets have been found to play a dominant role in the price discovery process at most of the period. However, when the market falls rapidly, futures market is more likely to overreact to market crush due to the higher leverage and liquidity. Futures prices tend to fall sharply and the futures bases expand simultaneously, which will weaken the efficiency of price discovery and information transmission of the futures market. Moreover, based on the asymmetric ECM-GARCH model, the results show a strong bidirectional interdependence of conditional volatility between both markets and a significant positive impact of the expansion of futures basis to the futures market volatility. © 2021 Science China Press.
Translated title of the contribution中国国债期货与现货市场间的动态价格发现与不对称波动性溢出: Dynamic Price Discovery and Asymmetric Volatility Transmission Between China's Treasury Bond Futures and Cash Markets
Original languageChinese (Simplified)
Pages (from-to)814-837
Journal计量经济学报
Volume1
Issue number4
Online published27 Oct 2021
Publication statusPublished - Oct 2021

Research Keywords

  • 中国国债期货市场
  • 信息引导份额
  • 价格发现功能
  • 波动率溢出效应
  • 多元GARCH模型
  • Chinese treasury bond futures market
  • information leadership share
  • dynamic price discovery
  • volatility transmission
  • multivariate GARCH

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