Instantaneous Volatility Seasonality of High-Frequency Markets in Directional-Change Intrinsic Time
32 Pages Posted: 23 Sep 2018 Last revised: 20 Mar 2019
Date Written: March 12, 2019
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 market microstructure 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 large high-frequency data.
Keywords: instantaneous volatility; market microstructure; seasonality; high frequency markets; risk management; computational finance
JEL Classification: G17, G32, C02
Suggested Citation: Suggested Citation