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跳扩散模型下乖离率的平稳性及其在高频交易中的应用
Stationarity of bias under jump-diffusion model and its application in high-frequency trading
【摘要】 金融市场上资产价格的跳跃往往带来极端风险,有效应对跳跃是有价值的。乖离率(bias)作为一种技术指标,被用于构建高频交易中的bias策略。利用Slutsky定理,证明了跳扩散模型下乖离率的平稳性,并结合Lee和Mykland方法进行跳跃检验的结果,构建了考虑跳跃的bias-J策略。研究通过实证分析验证了该策略的有效性和收益的平稳性,提出了利用跳跃提高收益的新思想。
【Abstract】 In the financial market, asset prices often jump resulting in extreme risk. Thus it makes sense to deal with jumps. Bias is a commonly used technical analysis tool, which is often applied to constructing bias strategy in high-frequency trading. It is proved that bias process is stationary under the jump-diffusion model by using the Slutsky theory, and combined with the result of the Lee & Mykland jump test, a new high-frequency trading strategy that takes jumps into consideration is constructed, which is named bias-J strategy. The effectiveness of bias-J strategy and the stability of return are verified through empirical analysis, and a new idea of using jumps to increase return is proposed.
- 【文献出处】 东华大学学报(自然科学版) ,Journal of Donghua University(Natural Science) , 编辑部邮箱 ,2022年05期
- 【分类号】O213;F832.51
- 【下载频次】54