Equivalent voting systems . Two weighted voting systems are equivalent if they have the same number of players and exactly the same winning coalitions. a. Show that the weighted voting systems [ 8 : 5 , 3 , 2 ] and [ 2 : 1 , 1 , 0 ] are equivalent. b. Show that the weighted voting systems [ 7 : 4 , 3 , 2 , 1 ] and [ 5 : 3 , 2 , 1 , 1 ] are equivalent. c. Show that the weighted voting system discussed in Example 2.12 is equivalent to [ 3 : 1 , 1 , 1 , 1 , 1 ] . d. Explain why equivalent weighted voting systems must have the same Banzhaf power distribution. e. Explain why equivalent weighted voting systems must have the same Shapley Shubik power distribution.
Equivalent voting systems . Two weighted voting systems are equivalent if they have the same number of players and exactly the same winning coalitions. a. Show that the weighted voting systems [ 8 : 5 , 3 , 2 ] and [ 2 : 1 , 1 , 0 ] are equivalent. b. Show that the weighted voting systems [ 7 : 4 , 3 , 2 , 1 ] and [ 5 : 3 , 2 , 1 , 1 ] are equivalent. c. Show that the weighted voting system discussed in Example 2.12 is equivalent to [ 3 : 1 , 1 , 1 , 1 , 1 ] . d. Explain why equivalent weighted voting systems must have the same Banzhaf power distribution. e. Explain why equivalent weighted voting systems must have the same Shapley Shubik power distribution.
A random variable X takes values 0 and 1 with probabilities q and p, respectively, with q+p=1. find the moment generating function of X and show that all the moments about the origin equal p. (Note- Please include as much detailed solution/steps in the solution to understand, Thank you!)
1 (Expected Shortfall)
Suppose the price of an asset Pt follows a normal random walk, i.e., Pt =
Po+r₁ + ... + rt with r₁, r2,... being IID N(μ, o²).
Po+r1+.
⚫ Suppose the VaR of rt is VaRq(rt) at level q, find the VaR of the price
in T days, i.e., VaRq(Pt – Pt–T).
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• If ESq(rt) = A, find ES₁(Pt – Pt–T).
2 (Normal Distribution)
Let rt be a log return. Suppose that r₁, 2, ... are IID N(0.06, 0.47).
What is the distribution of rt (4) = rt + rt-1 + rt-2 + rt-3?
What is P(rt (4) < 2)?
What is the covariance between r2(2) = 1 + 12 and 13(2) = r² + 13?
• What is the conditional distribution of r₁(3) = rt + rt-1 + rt-2 given
rt-2 = 0.6?
Chapter 2 Solutions
Excursions in Mathematics, Loose-Leaf Edition Plus MyLab Math with Pearson eText -- 18 Week Access Card Package
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Discrete Distributions: Binomial, Poisson and Hypergeometric | Statistics for Data Science; Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=lHhyy4JMigg;License: Standard Youtube License