Fear and Volatility in Digital Assets

F. Pervaiz, Christopher Goh, Ashley Pennington, Samuel Holt, James West, Shaun Ng
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引用次数: 2

Abstract

We show Bitcoin implied volatility on a 5 minute time horizon is modestly predictable from price, volatility momentum and alternative data including sentiment and engagement. Lagged Bitcoin index price and volatility movements contribute to the model alongside Google Trends with markets responding often several hours later. The code and datasets used in this paper can be found at https://github.com/Globe-Research/bitfear.
数字资产的恐惧和波动
我们显示,从价格、波动势头和包括情绪和参与度在内的替代数据来看,比特币5分钟内的隐含波动率是可以适度预测的。滞后的比特币指数价格和波动性走势与谷歌趋势一起为该模型做出了贡献,市场通常会在几个小时后做出反应。本文中使用的代码和数据集可以在https://github.com/Globe-Research/bitfear上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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