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 or .
result Method shows promising performance in forecasting volatilities, capturing kurtosis and serial dependence.