EBK THE ECONOMICS OF MONEY, BANKING AND
EBK THE ECONOMICS OF MONEY, BANKING AND
5th Edition
ISBN: 9780134734545
Author: Mishkin
Publisher: YUZU
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Chapter 5, Problem 1LO
To determine

Factors that affect the demand for assets.

Concept Introduction:

Wealth:

Wealth can be identified as the accumulation of resources we have.

Expected Return:

Expected return is the return expected over the next period.

Risk:

It is the degree of uncertainty associated with the return on one asset relative to another alternative assets.

Liquidity:

It is the ease at which an asset can be converted into cash.

Expert Solution & Answer
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Explanation of Solution

Wealth:

With increase in wealth, we have more resources available to purchase assets. Holding everything else constant, an increase in wealth raises the quantity demanded of an asset.

Expected Return:

An increase in expected return of a certain asset relative to another alternative asset, holding everything else unchanged, raises the quantity of that particular asset.

Risk:

A risk averse person prefers stock which have guaranteed expected return. A risk lover invests in assets where expected return is high but not guaranteed. Holding everything else constant, if the risk of a particular asset rises relative to that of alternative assets, its quantity demanded will decrease.

Liquidity:

The more liquid an asset relative to alternative assets, holding everything constant, the more desirable it is and the greater the quantity demanded will be.

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Suppose that a random sample of 216 twenty-year-old men is selected from a population and that their heights and weights are recorded. A regression of weight on height yields Weight = (-107.3628) + 4.2552 x Height, R2 = 0.875, SER = 11.0160 (2.3220) (0.3348) where Weight is measured in pounds and Height is measured in inches. A man has a late growth spurt and grows 1.6200 inches over the course of a year. Construct a confidence interval of 90% for the person's weight gain. The 90% confidence interval for the person's weight gain is ( ☐ ☐) (in pounds). (Round your responses to two decimal places.)
Suppose that (Y, X) satisfy the assumptions specified here. A random sample of n = 498 is drawn and yields Ŷ= 6.47 + 5.66X, R2 = 0.83, SER = 5.3 (3.7) (3.4) Where the numbers in parentheses are the standard errors of the estimated coefficients B₁ = 6.47 and B₁ = 5.66 respectively. Suppose you wanted to test that B₁ is zero at the 5% level. That is, Ho: B₁ = 0 vs. H₁: B₁ #0 Report the t-statistic and p-value for this test. Definition The t-statistic is (Round your response to two decimal places) ☑ The Least Squares Assumptions Y=Bo+B₁X+u, i = 1,..., n, where 1. The error term u; has conditional mean zero given X;: E (u;|X;) = 0; 2. (Y;, X¡), i = 1,..., n, are independent and identically distributed (i.i.d.) draws from i their joint distribution; and 3. Large outliers are unlikely: X; and Y, have nonzero finite fourth moments.
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