Statistics: Informed Decisions Using Data (5th Edition)
Statistics: Informed Decisions Using Data (5th Edition)
5th Edition
ISBN: 9780134133539
Author: Michael Sullivan III
Publisher: PEARSON
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Chapter 14.1, Problem 1AYU
To determine

The mean value of the variable y at x=20.

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Problem 3. Pricing a multi-stock option the Margrabe formula The purpose of this problem is to price a swap option in a 2-stock model, similarly as what we did in the example in the lectures. We consider a two-dimensional Brownian motion given by W₁ = (W(¹), W(2)) on a probability space (Q, F,P). Two stock prices are modeled by the following equations: dX = dY₁ = X₁ (rdt+ rdt+0₁dW!) (²)), Y₁ (rdt+dW+0zdW!"), with Xo xo and Yo =yo. This corresponds to the multi-stock model studied in class, but with notation (X+, Y₁) instead of (S(1), S(2)). Given the model above, the measure P is already the risk-neutral measure (Both stocks have rate of return r). We write σ = 0₁+0%. We consider a swap option, which gives you the right, at time T, to exchange one share of X for one share of Y. That is, the option has payoff F=(Yr-XT). (a) We first assume that r = 0 (for questions (a)-(f)). Write an explicit expression for the process Xt. Reminder before proceeding to question (b): Girsanov's theorem…
Problem 1. Multi-stock model We consider a 2-stock model similar to the one studied in class. Namely, we consider = S(1) S(2) = S(¹) exp (σ1B(1) + (M1 - 0/1 ) S(²) exp (02B(2) + (H₂- M2 where (B(¹) ) +20 and (B(2) ) +≥o are two Brownian motions, with t≥0 Cov (B(¹), B(2)) = p min{t, s}. " The purpose of this problem is to prove that there indeed exists a 2-dimensional Brownian motion (W+)+20 (W(1), W(2))+20 such that = S(1) S(2) = = S(¹) exp (011W(¹) + (μ₁ - 01/1) t) 롱) S(²) exp (021W (1) + 022W(2) + (112 - 03/01/12) t). where σ11, 21, 22 are constants to be determined (as functions of σ1, σ2, p). Hint: The constants will follow the formulas developed in the lectures. (a) To show existence of (Ŵ+), first write the expression for both W. (¹) and W (2) functions of (B(1), B(²)). as (b) Using the formulas obtained in (a), show that the process (WA) is actually a 2- dimensional standard Brownian motion (i.e. show that each component is normal, with mean 0, variance t, and that their…
The scores of 8 students on the midterm exam and final exam were as follows.   Student Midterm Final Anderson 98 89 Bailey 88 74 Cruz 87 97 DeSana 85 79 Erickson 85 94 Francis 83 71 Gray 74 98 Harris 70 91   Find the value of the (Spearman's) rank correlation coefficient test statistic that would be used to test the claim of no correlation between midterm score and final exam score. Round your answer to 3 places after the decimal point, if necessary. Test statistic: rs =

Chapter 14 Solutions

Statistics: Informed Decisions Using Data (5th Edition)

Ch. 14.1 - 11. An Unhealthy Commute The following data...Ch. 14.1 - 12. Credit Scores An economist wants to determine...Ch. 14.1 - Prob. 13AYUCh. 14.1 - 14. Hurricanes The following data represent the...Ch. 14.1 - 15. Concrete As concrete cures, it gains...Ch. 14.1 - Prob. 16AYUCh. 14.1 - 17. Invest in Education Go to...Ch. 14.1 - 18. American Black Bears In 1969, Dr. Michael R....Ch. 14.1 - 19. CEO Performance (Refer to Problem 31 in...Ch. 14.1 - 20. Bear Markets (Refer to Problem 32, Section...Ch. 14.1 - 21. Age versus HDL Cholesterol A doctor wanted to...Ch. 14.1 - 22. The U.S. Population The following data...Ch. 14.1 - Prob. 23AYUCh. 14.1 - 24. The output shown was obtained from...Ch. 14.1 - 25. Influential Observations Zillow.com is a site...Ch. 14.1 - 26. Why is it important to perform graphical as...Ch. 14.1 - 27. What do the y-coordinates on the least-squares...Ch. 14.1 - 28. Why is it desirable to have the explanatory...Ch. 14.1 - 29. Why don't we conduct inference on the linear...Ch. 14.2 - 1. Intervals constructed about the predicted value...Ch. 14.2 - 2. Intervals constructed about the predicted value...Ch. 14.2 - In Problems 3–6, use the results of Problems 5–8...Ch. 14.2 - In Problems 3–6, use the results of Problems 5–8...Ch. 14.2 - Prob. 5AYUCh. 14.2 - Prob. 6AYUCh. 14.2 - Prob. 7AYUCh. 14.2 - Prob. 8AYUCh. 14.2 - Prob. 9AYUCh. 14.2 - Prob. 10AYUCh. 14.2 - Prob. 11AYUCh. 14.2 - Prob. 12AYUCh. 14.2 - Prob. 13AYUCh. 14.2 - Prob. 14AYUCh. 14.2 - Prob. 15AYUCh. 14.2 - Prob. 16AYUCh. 14.2 - 17. Putting It Together: Predicting Intelligence...Ch. 14.3 - Prob. 1AYUCh. 14.3 - Prob. 2AYUCh. 14.3 - Prob. 3AYUCh. 14.3 - Prob. 4AYUCh. 14.3 - Prob. 5AYUCh. 14.3 - Prob. 6AYUCh. 14.3 - Prob. 7AYUCh. 14.3 - Prob. 8AYUCh. 14.3 - Prob. 9AYUCh. 14.3 - Prob. 10AYUCh. 14.3 - 11. For the data...Ch. 14.3 - 12. For the data...Ch. 14.3 - Prob. 13AYUCh. 14.3 - Prob. 14AYUCh. 14.3 - Prob. 15AYUCh. 14.3 - Prob. 16AYUCh. 14.3 - Prob. 17AYUCh. 14.3 - Prob. 18AYUCh. 14.3 - Prob. 19AYUCh. 14.3 - Prob. 20AYUCh. 14.3 - Prob. 21AYUCh. 14.3 - Prob. 22AYUCh. 14.3 - Prob. 23AYUCh. 14.3 - Prob. 24AYUCh. 14.4 - Prob. 1AYUCh. 14.4 - Prob. 2AYUCh. 14.4 - Prob. 3AYUCh. 14.4 - Prob. 4AYUCh. 14.4 - Prob. 5AYUCh. 14.4 - Prob. 6AYUCh. 14.4 - Prob. 7AYUCh. 14.4 - Prob. 8AYUCh. 14.4 - Prob. 9AYUCh. 14.4 - Prob. 10AYUCh. 14.4 - Prob. 11AYUCh. 14.5 - Prob. 1AYUCh. 14.5 - Prob. 2AYUCh. 14.5 - Prob. 3AYUCh. 14.5 - Prob. 4AYUCh. 14.5 - Prob. 5AYUCh. 14.5 - Prob. 6AYUCh. 14.5 - Prob. 7AYUCh. 14.6 - Prob. 1AYUCh. 14.6 - Prob. 2AYUCh. 14.6 - 3. Housing Prices A realtor wanted to find a...Ch. 14.6 - Prob. 4AYUCh. 14.6 - Prob. 5AYUCh. 14.6 - Prob. 6AYUCh. 14.6 - Prob. 7AYUCh. 14.6 - Prob. 8AYUCh. 14 - Prob. 1RECh. 14 - Prob. 2RECh. 14 - Prob. 3RECh. 14 - Prob. 4RECh. 14 - Prob. 5RECh. 14 - Prob. 6RECh. 14 - Prob. 7RECh. 14 - Prob. 8RECh. 14 - Prob. 9RECh. 14 - Prob. 10RECh. 14 - Prob. 1CTCh. 14 - Prob. 2CTCh. 14 - Prob. 3CTCh. 14 - Prob. 4CTCh. 14 - Prob. 5CTCh. 14 - 6. A nutritionist wants to develop a model that...Ch. 14 - During the early 2000s, the United States...
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