波动率指数与技术指标的关系:基于共享脆弱性模型的分析

Jo-Hui Chen, Hussain Sabbor, Fu-Ying Chen
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摘要

摘要本文采用共享脆弱性模型对波动率指数(VIX)的周期长度进行分析,选取了10个未来波动率指数。本文考察了五大市场技术指标的影响,包括移动平均收敛发散(MACD)、相对强弱指数(RSI)、三重指数平均(TRIX)、历史波动率(HV)和垂直水平滤波(VHF)。在上行、下行和整体趋势的持续时间上,我们的研究结果支持了投资者通过影响相关技术指标对各种期货波动风险的影响,可以更好地理解波动风险的模式和趋势的假设。我们研究了技术指标如何影响波动率指数。在威布尔分布中,呈上升趋势的数据值最为显著。MACD和TRIX提供的正值意味着与VIX有很强的正相关关系和更长的生存时间。研究结果还表明,历史波动率越大,商业投资的风险越大。因此,波动率指数在交易模式中的可能性有一个较短的时间,因为卖出信号出来了。JEL分类号:G15。关键词:VIX指数,技术指标,共享脆弱性模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship between VIX and Technical Indicator: The Analysis of Shared-Frailty Model
Abstract This article uses a shared-fragility model for the recurrent spell length for the volatility index (VIX). Ten future VIXs have been chosen. The article examines the impacts of the top five market technical indicators, including the Moving Average Convergence–Divergence (MACD), Relative Strength Index (RSI), Triple Exponential Average (TRIX), Historical Volatility (HV), and Vertical Horizontal Filter (VHF). On the spell time of upward, downward, and overall trends, our findings supported the hypothesis that investors can better understand the pattern and trend of volatility risk by impacting the relevant technical index on various futures VIXs. We examined how technical indicators affect the volatility index. In the Weibull distribution, the upward trend data has the most significant values. The positive values provided by MACD and TRIX imply a strong positive relationship with VIX and a longer survival time. The results also show that the greater the value of historical volatility, the greater the risk to commercial investments. As a result, the possibility of VIX in the trading pattern has a shorter time because the selling signals are coming out. JEL classification numbers: G15. Keywords: VIX Index, Technical Indicator, Shared-frailty Model.
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