示例#1
0
    def test_harch(self):
        T, resids, = self.T, self.resids
        sigma2, backcast = self.sigma2, self.backcast

        parameters = np.array([.1, .4, .3, .2])
        lags = np.array([1, 5, 22], dtype=np.int32)
        recpy.harch_recursion_python(parameters, resids, sigma2, lags, T,
                                     backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_numba = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_numba, sigma2)
        assert_almost_equal(sigma2_python, sigma2)
示例#2
0
    def test_harch(self):
        T, resids, = self.T, self.resids
        sigma2, backcast = self.sigma2, self.backcast

        parameters = np.array([.1, .4, .3, .2])
        lags = np.array([1, 5, 22], dtype=np.int32)
        recpy.harch_recursion_python(parameters, resids, sigma2, lags, T,
                                     backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_numba = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_numba, sigma2)
        assert_almost_equal(sigma2_python, sigma2)
示例#3
0
    def test_harch_performance(self):
        harch_setup = """
parameters = np.array([.1, .4, .3, .2])
lags = np.array([1, 5, 22], dtype=np.int32)
        """

        harch_first = """
recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast, var_bounds)
        """

        harch_second = """
rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast, var_bounds)
        """

        timer = Timer(harch_first, 'Numba', harch_second, 'Cython', 'HARCH',
                      self.timer_setup + harch_setup)
        timer.display()
        assert timer.ratio < 10.0
示例#4
0
    def test_harch_performance(self):
        harch_setup = """
parameters = np.array([.1, .4, .3, .2])
lags = np.array([1, 5, 22], dtype=np.int32)
        """

        harch_first = """
recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast, var_bounds)
        """

        harch_second = """
rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast, var_bounds)
        """

        timer = Timer(harch_first, 'Numba', harch_second, 'Cython', 'HARCH',
                      self.timer_setup + harch_setup)
        timer.display()
        assert_true(timer.ratio < 10.0)
示例#5
0
    def test_bounds(self):
        T, resids, = self.T, self.resids
        sigma2, backcast = self.sigma2, self.backcast

        parameters = np.array([1e100, .4, .3, .2])
        lags = np.array([1, 5, 22], dtype=np.int32)
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert (sigma2 >= self.var_bounds[:, 1]).all()

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])

        parameters = np.array([1e100, .4, .3, .2])
        fresids = resids**2.0
        sresids = np.sign(resids)

        recpy.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1, 1, T,
                              backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1, 1, T,
                            backcast, self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert (sigma2 >= self.var_bounds[:, 1]).all()

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1, 1, T,
                              backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1, 1, T,
                            backcast, self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])

        parameters = np.array([1e100, .4, .3, .2])
        recpy.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                             self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                           self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert (sigma2 >= self.var_bounds[:, 1]).all()

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                             self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                           self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])
示例#6
0
    def test_bounds(self):
        T, resids, = self.T, self.resids
        sigma2, backcast = self.sigma2, self.backcast

        parameters = np.array([1e100, .4, .3, .2])
        lags = np.array([1, 5, 22], dtype=np.int32)
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_true((sigma2 >= self.var_bounds[:, 1]).all())

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                              self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.harch_recursion(parameters, resids, sigma2, lags, T, backcast,
                            self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])

        parameters = np.array([1e100, .4, .3, .2])
        fresids = resids ** 2.0
        sresids = np.sign(resids)

        recpy.garch_recursion(parameters, fresids, sresids, sigma2,
                              1, 1, 1, T, backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1,
                            1, T, backcast, self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_true((sigma2 >= self.var_bounds[:, 1]).all())

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.garch_recursion(parameters, fresids, sresids, sigma2,
                              1, 1, 1, T, backcast, self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.garch_recursion(parameters, fresids, sresids, sigma2, 1, 1,
                            1, T, backcast, self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])

        parameters = np.array([1e100, .4, .3, .2])
        recpy.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                             self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                           self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_true((sigma2 >= self.var_bounds[:, 1]).all())

        parameters = np.array([-1e100, .4, .3, .2])
        recpy.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                             self.var_bounds)
        sigma2_python = sigma2.copy()
        rec.arch_recursion(parameters, resids, sigma2, 3, T, backcast,
                           self.var_bounds)
        assert_almost_equal(sigma2_python, sigma2)
        assert_almost_equal(sigma2, self.var_bounds[:, 0])