Package com.opengamma.analytics.financial.timeseries.analysis

Examples of com.opengamma.analytics.financial.timeseries.analysis.AutocorrelationFunctionCalculator.evaluate()

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  @Test
  public void test() {
    final AutocovarianceFunctionCalculator autocovariance = new AutocovarianceFunctionCalculator();
    final AutocorrelationFunctionCalculator autocorrelation = new AutocorrelationFunctionCalculator();
    final double[] rhoAR = autocorrelation.evaluate(AR);
    final double[] rhoMA = autocorrelation.evaluate(MA);
    final double[] rhoARMAP0 = autocorrelation.evaluate(MODEL.getSeries(PHI, P, null, 0, DATES));
    final double[] rhoARMA0Q = autocorrelation.evaluate(MODEL.getSeries(null, 0, THETA, Q, DATES));
    final double eps = Math.sqrt(STD) + 0.01;
    for (int i = 0; i < 200; i++) {
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  @Test
  public void test() {
    final AutocovarianceFunctionCalculator autocovariance = new AutocovarianceFunctionCalculator();
    final AutocorrelationFunctionCalculator autocorrelation = new AutocorrelationFunctionCalculator();
    final double[] rhoAR = autocorrelation.evaluate(AR);
    final double[] rhoMA = autocorrelation.evaluate(MA);
    final double[] rhoARMAP0 = autocorrelation.evaluate(MODEL.getSeries(PHI, P, null, 0, DATES));
    final double[] rhoARMA0Q = autocorrelation.evaluate(MODEL.getSeries(null, 0, THETA, Q, DATES));
    final double eps = Math.sqrt(STD) + 0.01;
    for (int i = 0; i < 200; i++) {
      assertEquals(Math.abs(rhoARMAP0[i] - rhoAR[i]), 0., eps);
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  public void test() {
    final AutocovarianceFunctionCalculator autocovariance = new AutocovarianceFunctionCalculator();
    final AutocorrelationFunctionCalculator autocorrelation = new AutocorrelationFunctionCalculator();
    final double[] rhoAR = autocorrelation.evaluate(AR);
    final double[] rhoMA = autocorrelation.evaluate(MA);
    final double[] rhoARMAP0 = autocorrelation.evaluate(MODEL.getSeries(PHI, P, null, 0, DATES));
    final double[] rhoARMA0Q = autocorrelation.evaluate(MODEL.getSeries(null, 0, THETA, Q, DATES));
    final double eps = Math.sqrt(STD) + 0.01;
    for (int i = 0; i < 200; i++) {
      assertEquals(Math.abs(rhoARMAP0[i] - rhoAR[i]), 0., eps);
      assertEquals(Math.abs(rhoARMA0Q[i] - rhoMA[i]), 0., eps);
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    final AutocovarianceFunctionCalculator autocovariance = new AutocovarianceFunctionCalculator();
    final AutocorrelationFunctionCalculator autocorrelation = new AutocorrelationFunctionCalculator();
    final double[] rhoAR = autocorrelation.evaluate(AR);
    final double[] rhoMA = autocorrelation.evaluate(MA);
    final double[] rhoARMAP0 = autocorrelation.evaluate(MODEL.getSeries(PHI, P, null, 0, DATES));
    final double[] rhoARMA0Q = autocorrelation.evaluate(MODEL.getSeries(null, 0, THETA, Q, DATES));
    final double eps = Math.sqrt(STD) + 0.01;
    for (int i = 0; i < 200; i++) {
      assertEquals(Math.abs(rhoARMAP0[i] - rhoAR[i]), 0., eps);
      assertEquals(Math.abs(rhoARMA0Q[i] - rhoMA[i]), 0., eps);
    }
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    final double eps = Math.sqrt(STD) + 0.01;
    for (int i = 0; i < 200; i++) {
      assertEquals(Math.abs(rhoARMAP0[i] - rhoAR[i]), 0., eps);
      assertEquals(Math.abs(rhoARMA0Q[i] - rhoMA[i]), 0., eps);
    }
    final double[] rhoARMA11 = autocorrelation.evaluate(ARMA11);
    final double[] gammaARMA11 = autocovariance.evaluate(ARMA11);
    assertEquals(PHI[1] - THETA[1] * STD * STD / gammaARMA11[0], rhoARMA11[1], eps);
  }
}
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