Python and Statistics for Financial Analysis

Quiz 1 of Python and Statistics for Financial Analysis

ByAdmin September 4, 2021

Quiz 1 of Python and Statistics for Financial Analysis

Question 1

Which of the following library has DataFrame object?

1 point

Matplotlib

Numpy

Statsmodels

Pandas

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Question 2

Which of the following is the correct way to import a library, eg Pandas?

1 point

1 pandas import

1 pandas

1 import pandas as pd

1 #include <pandas>

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Question 3

What is the method of DataFrame object to import a csv file?

1 point

csv()

read_csv()

import_csv()

from_csv()

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Question 4

Which of the following attributes of a DataFrame return a list of column names of this DataFrame?

1 point

columns

shape

dtype

column

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Question 5

Which of the following can slice ‘Close’ from ‘2015-01-01’ to ‘2016-12-31’ from data, which is a DataFrame object?

1 point

1 data.loc[‘2015-01-01’:’2016-12-31’, ‘Close’]

1 data.iloc[‘2015-01-01’:’2016-12-31’, ‘Close’]

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Question 6

What is the method of DataFrame to plot a line chart?

1 point

axhline()

scatter()

plot()

plot_graph()

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Question 7

Suppose you have a DataFrame – data, which contains columns ‘Open’, ‘High’, ‘Low’, ‘Close’, ‘Adj Close’ and ‘Volume’.

What does data[[‘Open’, ‘Low’]] return?

1 point

The first row of data which contains only columns ‘Open’ and ‘High’

Columns ‘Open’ and ‘Low’

No results are shown

All columns of data except ‘Open’ and ‘High’

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Question 8

Suppose you have a DataFrame ms , which contains the daily data of ‘Open’, ‘High’, ‘Low’, ‘Close’, ‘Adj Close’ and ‘Volume’ of Microsoft’s stock.

Which of the following syntax calculates the Price difference, (ie ‘Close’ of tomorrow – ‘Close’ of today)?

1 point

1 ms[‘Close’].shift(-1) – ms[‘Close’]

1 ms[‘Close’].shift(1) – ms[‘Close’].shift(1)

1 ms[‘Close’].shift(1) – ms[‘Close’]

1 ms[‘Close’].shift(-1) – ms[‘Close’].shift(-1)

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Question 9

Suppose you have a DataFrame – ms , which contains the daily data of ‘Open’, ‘High’, ‘Low’, ‘Close’, ‘Adj Close’ and ‘Volumn’ of Microsoft’s stock.

What is the method of DataFrame to calculate the 60 days moving average?

1 point

rolling().mean(60)

rolling(60).median()

rolling(60).mean()

moving_average(60)

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10.

Question 10

Which of the following idea(s) is/are correct to the simple trading strategy that we introduced in the lecture video?

1 point

Use longer moving average as slow signal and shorter moving average as fast signal

We short one share of stocks if fast signal is larger than slow signal

If fast signal is larger than slow signal, this indicates an upward trend at the current moment

To be eligible for discount customers must have paid before the Discount Due Date and must have paid at least the full balance owing less the discount amount, i.e.

Quiz 2 of Python and Statistics for Financial Analysis

Quiz 1 of Python and Statistics for Financial Analysis

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