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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Instantaneous Volatility Seasonality of High-Frequency Markets in Directional-Change Intrinsic Time
Organization Unit
Authors
  • Vladimir Petrov
  • Anton Golub
  • Richard Olsen
Contributors
  • University of Zurich
  • Lykke Corp
  • flov technologies AG
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Journal of Risk and Financial Management
Publisher MDPI Publishing
Geographical Reach international
ISSN 1911-8074
Volume 12
Number 2
Page Range 54
Date 2019
Abstract Text We propose a novel intraday instantaneous volatility measure which utilises sequences of drawdowns and drawups non-equidistantly spaced in physical time as indicators of high-frequency activity of financial markets. The sequences are re-expressed in terms of directional-change intrinsic time which ticks only when the price curve changes the direction of its trend by a given relative value. We employ the proposed measure to uncover weekly volatility seasonality patterns of three Forex and one Bitcoin exchange rates, as well as a stock market index. We demonstrate the long memory of instantaneous volatility computed in directional-change intrinsic time. The provided volatility estimation method can be adapted as a universal multiscale risk-management tool independent of the discreteness and the type of analysed high-frequency data.
Free access at DOI
Official URL https://www.mdpi.com/1911-8074/12/2/54
Digital Object Identifier 10.3390/jrfm12020054
Other Identification Number merlin-id:17734
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