Out of sample forecasts of quadratic variation. (English) Zbl 1429.62648
Summary: We compare the forecasts of Quadratic Variation given by the Realized Volatility (RV) and the Two Scales Realized Volatility (TSRV) computed from high frequency data in the presence of market microstructure noise, under several different dynamics for the volatility process and assumptions on the noise. We show that TSRV largely outperforms RV, whether looking at bias, variance, RMSE or out-of-sample forecasting ability. An empirical application to all DJIA stocks confirms the simulation results.
MSC:
| 62P20 | Applications of statistics to economics |
| 62M10 | Time series, auto-correlation, regression, etc. in statistics (GARCH) |
| 62P05 | Applications of statistics to actuarial sciences and financial mathematics |
| 91B84 | Economic time series analysis |
Keywords:
market microstructure noise; high frequency data; measurement error; realized volatility; two scales realized volatility; out of sample forecastsReferences:
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