What is the output of the following code? newlist = np.zeros(4) for i in range(len(newlist)): newlist[i] = i + newlist[i] print(newlist)
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Consider a portfolio with the following weights w, expected…
Consider a portfolio with the following weights w, expected return on each risky asset ER, and covariance matrix Cov below. w = np.array([0.05, 0.03]) ER = np.array([0.10, 0.02])Cov = np.cov([[0.004, 0.0156], [0.0156, 0.009]]) Which of the following expressions represents the portfolio volatility in Python?
Consider the code below with numbered lines:1)def h(x): 2) r…
Consider the code below with numbered lines:1)def h(x): 2) return np.exp(-x**2 / 2) / np.sqrt(2 * np.pi) 3) 4)x = np.linspace(-4, 4, 51) 5)y = np.zeros(x) 6) 7)for i in range(len(y)-1): 8) y[i] = h(x[i]) 9)plt.plot(x, y) If we run the code above, we will receive an error. In which line lies the error?
How many atoms are in a face centered cubic lattice?
How many atoms are in a face centered cubic lattice?
Assume we live in a world where the CAPM holds and it is giv…
Assume we live in a world where the CAPM holds and it is given by ER = lambda beta: beta * 0.05 + 0.02If you know this linear relationship between beta and ER, you can compute the ER for a given beta.What is the ER on a stock with beta = 0.5?
What is the last element of x?x = np.linspace(0, 0.4 + 0.05,…
What is the last element of x?x = np.linspace(0, 0.4 + 0.05, 9)
Assume we download the stock price of Tesla and compute its…
Assume we download the stock price of Tesla and compute its return using the command startdate = ‘2019-01-01’ enddate = ‘2021-01-01’ tesla = web.get_data_yahoo(“TSLA”, startdate, enddate)R_tesla = tesla[‘Adj Close’].pct_change().dropna() Which of the following commands is used to compute the volatility of Tesla returns?
Consider an economy with three possible states: bad, normal,…
Consider an economy with three possible states: bad, normal, and good. The probability of each state is given in the array of probabilities “p” below. The payoff of a risky stock in each state is given in the array R. p = np.array([0.1, 0.6, 0.3]) R = np.array([[0.05], [0.03], [-0.02]]) If we want to compute the expected return on this risky asset, what is the command line we should execute in Python?
Consider the array below: x = np.array([9, 0.05, -90.43, 1.7…
Consider the array below: x = np.array([9, 0.05, -90.43, 1.78, 5, 6.3]) What is the element x[3] ?
Which of the following molecule has the highest boiling poin…
Which of the following molecule has the highest boiling point? (The numbers shown in the choices are supposed to be subscripts.)