Alexandra Faynburd, M.Sc. Thesis Seminar
Wednesday, 2.3.2011, 13:30
We consider the problem of forecasting turning points in time series and develop an autoregressive prediction algorithm,
that relies on a novel turning point indicator and support vector regression.
The algorithm is analyzed and compared to existing methods in the context of financial forecasting.