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Intraday Value at Risk (IVaR) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange Author info | Abstract | Publisher info | Download info | Related research | Statistics Georges Dionne
Pierre Duchesne
Maria Pacurar
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The objective of this paper is to investigate the use of tick-by-tick data for market risk measurement. We propose an Intraday Value at Risk (IVaR) at different horizons based on irregularly time-spaced high-frequency data by using an intraday Monte Carlo simulation. An UHF-GARCH model extending the framework of Engle (2000) is used to specify the joint density of the marked-point process of durations and high-frequency returns. We apply our methodology to transaction data for the Royal Bank and the Placer Dome stocks traded on the Toronto Stock Exchange. Results show that our approach constitutes reliable means of measuring intraday risk for traders who are very active on the market. The UHF-GARCH model performs well out-of-sample for almost all the time horizons and the confidence levles considered even when normality is assumed for the distribution of the error term, provided that intraday seasonality has been accounted for prior to the estimation.
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Paper provided by CIRPEE in its series Cahiers de recherche with number
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Date of creation: 2005Date of revision:
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Keywords: Value at Risk ; tick-by-tick data ; UHF-GARCH models ; intraday market risk ; high-frequency models ; intraday Monte Carlo simulation ; Intraday Value at Risk ; Other versions of this item:
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
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