伽马定位和市场质量

IF 1.9 3区 经济学 Q2 ECONOMICS
Boyd Buis , Mary Pieterse-Bloem , Willem F.C. Verschoor , Remco C.J. Zwinkels
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引用次数: 0

摘要

在本文中,我们通过模拟研究了动态对冲者的伽玛定位对市场质量的影响。在我们的零智能模型中,动态对冲者的存在在正常情况下会提高市场流动性。然而,在压力情景下,正伽马有助于维持流动性,而负伽马则会消耗流动性。我们发现,动态套期保值者净伽马定位的增加会降低波动性并增强市场稳定性,而负伽马定位则会增加波动性并使市场更容易失灵。当动态套期保值者变得更加普遍时,价格发现通常会恶化,无论其定位的符号如何。我们的研究结果表明,引导动态套期保值者的净伽马头寸可被视为提高市场质量的政策工具,尤其是对于流动性低或交易量小的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gamma positioning and market quality

In this paper, we study the effect of the gamma positioning of dynamic hedgers on market quality through simulations. In our zero-intelligence model, the presence of dynamic hedgers enhances market liquidity under normal conditions. However, positive gamma helps sustain liquidity in stressed scenarios, while negative gamma depletes it. We find that an increase in the net gamma positioning of dynamic hedgers reduces volatility and increases market stability, whereas a negative gamma positioning increases volatility and makes the market more prone to failure. Price discovery typically worsens when dynamic hedgers become more prevalent, regardless of the sign of their positioning. Our findings imply that steering the net gamma position of dynamic hedgers can be considered a policy instrument to improve market quality, especially for instruments with low liquidity or low traded volume.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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