Consider the following order book. Bid size Price Ask size 200.80 300 200.75 200 200.50 100 200.25 100 100 199.95 400 199.90 100 199.85 At what average price would a limit order to BUY 200 shares at $200.75 be executed?

What is the output of the following Python session? >>> x = 5 >>> y = x >>> x = 3 >>> print(y * x)

Which of the following is NOT an advantage of ensemble learners?

Consider the following order book. Bid size Price Ask size 55.90 400 55.85 300 55.75 300 100 55.45 75 55.35 200 55.25 At what average price would a market order to BUY 100 shares be executed?

Plotting in sample and out of sample model error against model complexity can be used to visualize overfitting. Overfitting in this graph is when:

Which is an advantage of using an ensemble learner?

Which of the following are generally true of instance-based models?

According to the 60 minutes video “Is the stock market rigged?” which strategies have high frequency traders used to exploit market mechanics?

What is the output of the following Python session? >>> def func(y = 6): … b = 3 … return y * b … >>> x = 4 >>> b = 4 >>> print(func())

Consider the following valuation factors of a company: It owns 1000 cars valued at $50,000 each It holds patents worth $15,000,000 It owes $10,000,000 in loans It pays $3.00 per year per share in dividends starting in one year The stock price is $40.00 per share There are 1,000,000 shares outstanding The discount rate is 5% Suppose you believe that over a period of a few weeks, the price of the stock will converge to book value + 10%.  What should you do to profit from this expectation?