Documentation of 'net.finmath.timeseries.models.parametric.DisplacedLognormalARMAGARCH' Java class
DisplacedLognormalARMAGARCH
net.finmath.timeseries.models.parametric

Class DisplacedLognormalARMAGARCH

  • All Implemented Interfaces:
    HistoricalSimulationModel, TimeSeriesModelParametric


    public class DisplacedLognormalARMAGARCH
    extends java.lang.Object
    implements TimeSeriesModelParametric, HistoricalSimulationModel
    Displaced log-normal process with ARMAGARCH(1,1) volatility. This class estimate the process \[ \mathrm{d} \log(X + a) = \frac{\sigma}{b + a} \mathrm{d}W(t) \] where \( a > -min(X(t_{i}) \) and thus \( X+a > 0 \) and \( b = 1 - -min(X(t_{i}) \) \) and \( \sigma \) is given by a ARMAGARCH(1,1) process. The choice of b ensures that b+a ≥ 1. For a=0 we have a log-normal process with volatility σ/(b + a). For a=infinity we have a normal process with volatility σ.
    • Constructor Detail

      • DisplacedLognormalARMAGARCH

        public DisplacedLognormalARMAGARCH(TimeSeriesInterface timeSeries)
      • DisplacedLognormalARMAGARCH

        public DisplacedLognormalARMAGARCH(TimeSeriesInterface timeSeries,
                                           double lowerBoundDisplacement)
      • DisplacedLognormalARMAGARCH

        public DisplacedLognormalARMAGARCH(TimeSeriesInterface timeSeries,
                                           double lowerBoundDisplacement,
                                           double upperBoundDisplacement)
    • Method Detail

      • getLogLikelihoodForParameters

        public double getLogLikelihoodForParameters(double[] parameters)
      • getLastResidualForParameters

        public double getLastResidualForParameters(double[] parameters)
      • getSzenarios

        public double[] getSzenarios(double[] parameters)
      • getBestParameters

        public java.util.Map<java.lang.String,java.lang.Object> getBestParameters()
        Description copied from interface: HistoricalSimulationModel
        Returns the parameters estimated for the given time series.
        Specified by:
        getBestParameters in interface HistoricalSimulationModel
        Returns:
        The parameters estimated for the given time series.
      • getBestParameters

        public java.util.Map<java.lang.String,java.lang.Object> getBestParameters(java.util.Map<java.lang.String,java.lang.Object> guess)
        Description copied from interface: HistoricalSimulationModel
        Returns the parameters estimated for the given time series, using a parameter guess.
        Specified by:
        getBestParameters in interface HistoricalSimulationModel
        Parameters:
        guess - A parameter guess.
        Returns:
        The parameters estimated for the given time series.
      • getCloneWithWindow

        public HistoricalSimulationModel getCloneWithWindow(int windowIndexStart,
                                                            int windowIndexEnd)
        Description copied from interface: HistoricalSimulationModel
        Create a new model, using only a window of the times series.
        Specified by:
        getCloneWithWindow in interface HistoricalSimulationModel
        Parameters:
        windowIndexStart - Index of the first element to be part of the new time series.
        windowIndexEnd - Index of the last element to be part of the new time series.
        Returns:
        A new historical simulation using a different data window.

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