预测VIX:预测评价标准的假象

Q4 Social Sciences
Stavros Degiannakis, Eleftheria Kafousaki
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引用次数: 1

摘要

本文使用每日实现波动率指标,以获得对股票市场隐含波动率的预测准确性,以VIX指数为代表,预测未来1、5、10和22天的预测范围。我们通过结合传统的统计损失函数来评估预测的准确性,以及基于客观的评估标准,即通过对波动率指数期货进行简单而有效的交易练习,从不同的har型波动率模型中获得的累积回报。研究结果表明,这两个指标之间的选择可能是多么虚幻,因为它最终会产生两个相互矛盾的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting VIX: the illusion of forecast evaluation criteria
The paper uses daily realised volatility measures in order to gain forecast accuracy over stocks' market implied volatility, as proxied by VIX Index, for forecast horizon of 1, 5, 10 and 22 days ahead. We evaluate forecast accuracy by incorporating a traditional statistical loss function, along with an objective-based evaluation criterion, that is the cumulative returns earned from the different HAR-type volatility models, through a simple yet effective trading exercise on VIX futures. Findings illustrate how illusive the choice between the two metrics may be, as it ends in two contradicting results.
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来源期刊
Working Paper - Chr. Michelson Institute
Working Paper - Chr. Michelson Institute Social Sciences-Development
CiteScore
0.50
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0.00%
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