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Large Movement of Market and Risk Control Strategy For Index futures Based on Lévy Process

机译:基于Lévy过程的市场大波动与指数期货的风险控制策略

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Recently, a number of papers provide compelling evidence to the significant existence of large movement in capital market. Such large movement of market usually exhibits an abrupt jump, upwards or downward, in the price of financial asset, along with inducing a particular risk to investors. In order to explore this market behavior more clearly, we propose a Lévy type model in this paper to model the change of stock index. Unlike many other jump or diffusion stochastic volatility models, our model provides a channel through which jump dynamics and volatility can display an interactive influence on each other. Based on the model, we then discuss a VaR risk control strategy for index futures. The empirical results indicate the significant existence of large movements in china stock market and their great impact on index return and volatility. Hence, it is important for us to take them into accounting when pricing index futures or making portfolio decision. Our results also support the assumption of an interactive relationship between volatility and jump dynamics. Meanwhile, conventional ARCH type models, such as GJR-GARCH, are definitely misspecified, since they significantly overshoot the index volatility after a large movement of the market. Overall, our results provide a more profound understanding on large movement or jumps in market, and a new way of modeling and forecasting of volatility as well as the risk control of index futures.
机译:最近,许多论文提供了令人信服的证据,证明了资本市场大动作的显着存在。如此庞大的市场动向通常表现为金融资产价格的突然上升或下降,并给投资者带来特定的风险。为了更清楚地探讨这种市场行为,我们在本文中提出了一个Lévy型模型来对股指的变化进行建模。与许多其他跳跃或扩散随机波动率模型不同,我们的模型提供了一个通道,跃变动力学和波动率可以通过该通道相互显示交互影响。基于该模型,然后我们讨论指数期货的VaR风险控制策略。实证结果表明,中国股市大幅度波动的存在及其对指数收益率和波动率的巨大影响。因此,对于我们而言重要的是在对指数期货进行定价或做出投资组合决策时将其考虑在内。我们的结果还支持了波动率和跳跃动力之间相互作用关系的假设。同时,传统的ARCH类型的模型(例如GJR-GARCH)肯定被错误指定,因为它们在市场大幅波动后大大超过了指数的波动性。总的来说,我们的结果对市场的大变动或跳跃提供了更深刻的理解,并为波动性的建模和预测以及指数期货的风险控制提供了新的方式。

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