code: def test_pandas_multivariate_rangeindex():
      # Simulate will also have RangeIndex
      endog = pd.DataFrame(np.zeros((2, 2)))
      mod = varmax.VARMAX(endog, trend="n")
      res = mod.filter([0.5, 0.0, 0.0, 0.2, 1.0, 0.0, 1.0])
  
      # Default simulate anchors to the start of the sample
      actual = res.simulate(
          2, state_shocks=np.zeros((2, 2)), initial_state=np.zeros(2)
      )
      desired = pd.DataFrame(np.zeros((2, 2)))
      assert_allclose(actual, desired)
  
      # Alternative anchor changes the index
      actual = res.simulate(
          2,
          anchor=2,
          state_shocks=np.zeros((2, 2)),
          initial_state=np.zeros(2),
      )
      ix = pd.RangeIndex(2, 4)
      desired = pd.DataFrame(np.zeros((2, 2)), index=ix)
      assert_allclose(actual, desired)
      assert_(actual.index.equals(desired.index))
  
imports: from statsmodels.compat.pandas import MONTH_END
  import numpy
  from numpy.testing import assert_, assert_allclose, assert_equal
  import pandas
  import pytest
  from scipy.signal import lfilter
  from statsmodels.tools.sm_exceptions import EstimationWarning, SpecificationWarning
  from statsmodels.tsa.statespace import dynamic_factor, sarimax, structural, varmax
  from .test_impulse_responses import TVSS
label_desc: Use image node_id 38 for calling a global function with example usage: test_pandas_multivariate_rangeindex() without return types