Python numpy.mirr() Examples

The following are 26 code examples of numpy.mirr(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy , or try the search function .
Example #1
Source File: test_financial.py    From recruit with Apache License 2.0 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #2
Source File: test_financial.py    From twitter-stock-recommendation with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #3
Source File: test_financial.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #4
Source File: test_financial.py    From coffeegrindsize with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #5
Source File: test_financial.py    From pySINDy with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #6
Source File: test_financial.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #7
Source File: test_financial.py    From GraphicDesignPatternByPython with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #8
Source File: test_financial.py    From Mastering-Elasticsearch-7.0 with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #9
Source File: test_financial.py    From vnpy_crypto with MIT License 6 votes vote down vote up
def test_mirr_decimal(self):
        val = [Decimal('-4500'), Decimal('-800'), Decimal('800'), Decimal('800'),
               Decimal('600'), Decimal('600'), Decimal('800'), Decimal('800'),
               Decimal('700'), Decimal('3000')]
        assert_equal(np.mirr(val, Decimal('0.08'), Decimal('0.055')),
                     Decimal('0.066597175031553548874239618'))

        val = [Decimal('-120000'), Decimal('39000'), Decimal('30000'),
               Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_equal(np.mirr(val, Decimal('0.10'), Decimal('0.12')), Decimal('0.126094130365905145828421880'))

        val = [Decimal('100'), Decimal('200'), Decimal('-50'),
               Decimal('300'), Decimal('-200')]
        assert_equal(np.mirr(val, Decimal('0.05'), Decimal('0.06')), Decimal('0.342823387842176663647819868'))

        val = [Decimal('39000'), Decimal('30000'), Decimal('21000'), Decimal('37000'), Decimal('46000')]
        assert_(np.isnan(np.mirr(val, Decimal('0.10'), Decimal('0.12')))) 
Example #10
Source File: test_financial.py    From ImageFusion with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #11
Source File: test_financial.py    From keras-lambda with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #12
Source File: test_financial.py    From recruit with Apache License 2.0 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #13
Source File: test_financial.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #14
Source File: test_financial.py    From lambda-packs with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #15
Source File: test_financial.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #16
Source File: test_financial.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #17
Source File: test_financial.py    From coffeegrindsize with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #18
Source File: test_financial.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #19
Source File: test_financial.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #20
Source File: test_financial.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #21
Source File: test_financial.py    From vnpy_crypto with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #22
Source File: test_financial.py    From pySINDy with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #23
Source File: test_financial.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #24
Source File: analysis.py    From cashflows with MIT License 5 votes vote down vote up
def mirr(cflo, finance_rate=0, reinvest_rate=0):
    """Computes the modified internal rate of return of a generic cashflow
    as a periodic interest rate.

    Args:
        cflo (pandas.Series): Generic cashflow.
        finance_rate (float): Periodic interest rate applied to negative values of the cashflow.
        reinvest_rate (float): Periodic interest rate applied to positive values of the cashflow.

    Returns:
        Float or list of floats.

    **Examples.**

    >>> cflo = cashflow([-200] + [100]*4, start='2000Q1', freq='Q')
    >>> mirr(cflo) # doctest: +ELLIPSIS
    18.92...

    >>> mirr([cflo, cflo]) # doctest: +ELLIPSIS
    0    18.920712
    1    18.920712
    dtype: float64


    """
    # negativos: finance_rate
    # positivos: reinvest_rate
    if isinstance(cflo, pd.Series):
        cflo = [cflo]
    retval = pd.Series([0] * len(cflo), dtype=np.float64)
    for index, xcflo in enumerate(cflo):
        retval[index] = (100 *  np.mirr(xcflo,
                                        finance_rate,
                                        reinvest_rate))

    if len(retval) == 1:
        return retval[0]
    return retval 
Example #25
Source File: test_financial.py    From Computable with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12))) 
Example #26
Source File: test_financial.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up
def test_mirr(self):
        val = [-4500, -800, 800, 800, 600, 600, 800, 800, 700, 3000]
        assert_almost_equal(np.mirr(val, 0.08, 0.055), 0.0666, 4)

        val = [-120000, 39000, 30000, 21000, 37000, 46000]
        assert_almost_equal(np.mirr(val, 0.10, 0.12), 0.126094, 6)

        val = [100, 200, -50, 300, -200]
        assert_almost_equal(np.mirr(val, 0.05, 0.06), 0.3428, 4)

        val = [39000, 30000, 21000, 37000, 46000]
        assert_(np.isnan(np.mirr(val, 0.10, 0.12)))