Instantaneous volatility seasonality of high-frequency markets in directional-change intrinsic time
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 t...
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Veröffentlicht in: | Journal of risk and financial management 2019-06, Vol.12 (2), p.1-31 |
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creator | Petrov, Vladimir Golub, Anton Olsen, Richard |
description | 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. |
doi_str_mv | 10.3390/jrfm12020054 |
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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.</description><identifier>ISSN: 1911-8074</identifier><identifier>ISSN: 1911-8066</identifier><identifier>EISSN: 1911-8074</identifier><identifier>DOI: 10.3390/jrfm12020054</identifier><language>eng</language><publisher>Basel: MDPI</publisher><subject>bitcoin ; directional-change ; drawdown ; Electronic trading systems ; Experiments ; Forecasting techniques ; forex ; High frequency trading ; instantaneous volatility ; Measurement techniques ; Probability ; Random variables ; risk management ; S&P500 ; Seasonal variations ; seasonality ; Time series ; Volatility</subject><ispartof>Journal of risk and financial management, 2019-06, Vol.12 (2), p.1-31</ispartof><rights>2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 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subjects | bitcoin directional-change drawdown Electronic trading systems Experiments Forecasting techniques forex High frequency trading instantaneous volatility Measurement techniques Probability Random variables risk management S&P500 Seasonal variations seasonality Time series Volatility |
title | Instantaneous volatility seasonality of high-frequency markets in directional-change intrinsic time |
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