Measuring and forecasting financial variability using realised variance with and without a model.
We use high frequency financial data to proxy, via the realised variance, each day's financial variability. Based on a semiparametric stochastic volatility process, a limit theory shows you can represent the proxy as a true underlying variability plus some measurement noise with known character...
Hoofdauteurs: | Barndorff-Nielsen, O, Nielsen, B, Shephard, N, Ysusi, C |
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Formaat: | Working paper |
Taal: | English |
Gepubliceerd in: |
Nuffield College (University of Oxford)
2002
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Measuring and forecasting financial variability using realised variance.
door: Barndorff-Nielsen, O, et al.
Gepubliceerd in: (2004) -
How Accurate Is the Asymptotic Approximation to the Distribution of Realised Variance?
door: Barndorff-Nielsen, O, et al.
Gepubliceerd in: (2005) -
Impact of jumps on returns and realised variances: econometric analysis of time-deformed Lévy processes
door: Barndorff-Nielsen, O, et al.
Gepubliceerd in: (2005) -
Impact of Jumps on Returns and Realised Variances: Econometric Analysis of Time-Deformed Levy Processes.
door: Barndorff-Nielsen, O, et al.
Gepubliceerd in: (2006) -
Impact of jumps on returns and realised variances: econometric analysis of time-deformed Levy processes.
door: Barndorff-Nielsen, O, et al.
Gepubliceerd in: (2003)