Question

Is there an example for a pair of random variables to be correlated in first differences...

Is there an example for a pair of random variables to be correlated in first differences but not in levels?

Homework Answers

Answer #1

I have answered the question below

Please up vote for the same and thanks!!!

Do reach out in the comments for any queries

Answer:

Yes it is possible.

For an instance, consider two stocks, Stock A and Stock B. Stock A has a share price that is increasing with some stable positive slope and stock B which has a stock price that is declining with some stable negative slope. Then, the variability in the stock prices of stocks A and B are perfectly correlated but the price of these stocks stock A and stock B is "uncorrelated".

The two stock prices are atleast uncorrelated linearly because the mean price of each series(levels) is not constant

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
An example of two very unusual variables that are correlated.
An example of two very unusual variables that are correlated.
Why we need multivariate random variables and give real life correlated multivariate random variables.
Why we need multivariate random variables and give real life correlated multivariate random variables.
Describe an example in which two variables are strongly correlated, but changes in one does not...
Describe an example in which two variables are strongly correlated, but changes in one does not cause changes in the other. Does correlation imply causation?
1. Describe and example in which two variables are strongly correlated, but changes in one does...
1. Describe and example in which two variables are strongly correlated, but changes in one does not cause changes in the other. Does correlation imply causation? 2. A) Give an example of two events that are mutually exclusive (disjoint). B) Given an example of two events that are not mutually exclusive (not disjoint).
Create a pair of random variables, where the correlation between X_1and X_2 is small. We can...
Create a pair of random variables, where the correlation between X_1and X_2 is small. We can do this by letting X_2=a*X_1+b*Z, (X_1 and Z be independent random variables) and changing the constant values of a and b.
X, Y, Z are zero mean correlated random variables with common correlation coefficient equal to -...
X, Y, Z are zero mean correlated random variables with common correlation coefficient equal to - 1/2 and all variances equal to one. a. Find the best linear estimate of Z in terms of X and Y ? b. Find the best linear estimator for X in terms of Y and Z? c. What are the minimum mean square estimation errors in the above cases?
Two variables, A and B, are correlated with Pearson’s r and the obtained correlation is -0.23....
Two variables, A and B, are correlated with Pearson’s r and the obtained correlation is -0.23. Both variables are then standardized to Z scores and the variables, now in Z scores, are correlated again. Will the correlation between the Z score format of A and B differ from the original correlation of -0.23? Explain how it may or may not differ and why?
Suppose (Z1, Z2) is a bivariate Gaussian pair of random variables with Z1 ~ N (0,1),...
Suppose (Z1, Z2) is a bivariate Gaussian pair of random variables with Z1 ~ N (0,1), Z2 ~ (0,1) and cov (Z1, Z2) = -0.5. Find P (Z2 >2 | Z1=-2). The answer is 0.1241. Can you explain why? Thank you.
1. Suppose that you have two categorical variables. The first variables has 3 levels and the...
1. Suppose that you have two categorical variables. The first variables has 3 levels and the second variable has 5 levels. Determine the degrees of freedom for the chi-square test for independence for these variables.... 2. Suppose that you have two categorical variables. The first variables has 4 levels and the second variable has 5 levels. Determine the number of cells for the chi-square test for independence for these variables....
When the two variables are correlated, they are associated with each other, but it doesn’t mean...
When the two variables are correlated, they are associated with each other, but it doesn’t mean that one is causing the other. Explain why