Mardi | 2014-02-18
B103

Denisa BANULESCU-RADU – Gilbert COLLETAZ – Christophe HURLIN – Sessi TOKPAVI

This paper proposes an intraday high-frequency risk (HFR) measure speci…fically designed for HFR management and high-frequency trading (HFT). The HFR measure is a conditional joint measure of market risk and liquidity risk for irregularly spaced high-frequency data. It combines two well-known risk measures, i.e., value at risk (VaR) and time at risk (TaR). We propose a forecasting procedure for both measures, which complies with HFR managementrequirements, particularly in terms of the information set. We also differentiate between three concepts of intraday VaR: total, marginal (or per time unit) and instantaneous VaR. Finally, we propose a backtesting procedure specifi…cally designed to assess the validity of the VaR and TaR forecasts for each trade or other market microstructure event. The performance of theHFR measure is illustrated in an empirical application to two stocks (Bank of America and Microsoft) and an exchange-traded fund (ETF) based on Standard and Poor’s (the S&P) 500 index. We show that the intraday VaR and TaR forecasts accurately capture the volatility and duration dynamics for these three assets.