def test_window(self):
        '''
        Two events on two different equities

        Tests
        -----
            1. Expected returns
            2. Abnormal returns
            3. Cumulative abnormal returns
            4. Mean of ER, AR, CAR
        '''
        # Set Up
        self.setUpDataAccess()

        evt_fin = EventFinder()
        evt_fin.symbols = ['AMD', 'CBG']
        evt_fin.start_date = datetime(2008, 1, 1)
        evt_fin.end_date = datetime(2009, 12, 31)
        evt_fin.condition = SampleConditions.went_below(3)
        evt_fin.search()
        
        mul_evt = MultipleEvents()
        mul_evt.list = evt_fin.list
        mul_evt.market = 'SPY'
        mul_evt.lookback_days = 20
        mul_evt.lookforward_days = 20
        mul_evt.estimation_period = 200
        mul_evt.run()

        self_dir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
        tests = ['MultipleEvents_window_1.csv']
        tests = [os.path.join(self_dir, 'docs', test) for test in tests]
        
        for test_file in tests:
            # Set up
            solution = pd.read_csv(test_file).set_index('index')
            # Test 1
            sol_er = solution[solution.columns[0:2]]
            sol_er.columns = mul_evt.er.columns
            sol_er.columns.name = 'Expected return'
            self.assertEqual(mul_evt.er, sol_er)
            # Test 2
            sol_ar = solution[solution.columns[3:5]]
            sol_ar.columns = mul_evt.ar.columns
            sol_ar.columns.name = 'Abnormal return'
            self.assertEqual(mul_evt.ar, sol_ar)
            # Test 3
            sol_car = solution[solution.columns[6:8]]
            sol_car.columns = mul_evt.car.columns
            sol_car.columns.name = 'Cum abnormal return'
            self.assertEqual(mul_evt.car, sol_car)
            # Test 4
            self.assertEqual(mul_evt.mean_er, solution['Mean ER'])
            self.assertEqual(mul_evt.mean_ar, solution['Mean AR'])
            self.assertEqual(mul_evt.mean_car, solution['Mean CAR'])
Beispiel #2
0
from datetime import datetime
import matplotlib.pyplot as plt
from finance.events import EventFinder
from finance.events import MultipleEvents
from finance.events import SampleConditions

# from finance.utils import DataAccess
# DataAccess.path = 'data'

evtf = EventFinder()
evtf.symbols = ['AMD', 'CBG']
evtf.start_date = datetime(2008, 1, 1)
evtf.end_date = datetime(2009, 12, 31)
evtf.condition = SampleConditions.went_below(3)
evtf.search()

mevt = MultipleEvents()
mevt.list = evtf.list
mevt.market = 'SPY'
mevt.lookback_days = 20
mevt.lookforward_days = 20
mevt.estimation_period = 200
mevt.run()

print(mevt.mean_ar)

mevt.plot('car')
plt.show()