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1 result for codifference

Method predicts LFSM increments from past observations using codifference.

problem Forecasting LFSM increments from discrete-time observations.
method Uses codifference for serial dependence, with conditional expectation or projection for α>1α>1 or α<2α<2.
result Method shows promising performance in forecasting volatilities, capturing kurtosis and serial dependence.