Answer: Option C
Explanation: An adjustable mortgage (ARM) is a borrowing form in which the rate of interest charged to the remaining balance varies all across the loan's lifetime. The new interest rate is set for an amount of time with an adjustable-rate mortgage, after which it resets regularly, often quarterly or even monthly.
The mortgage can be given at the normal variable rate/base rate of the lender. There may be a clear and statutorily defined relation to the applicable index, but if the creditor does not provide a specific link to the underlying market or index, the rate may be adjusted at the option of the lender.
Answer:
The correct answer is option (A).
Explanation:
According to the scenario, the computation of the given data are as follows:
First, we will calculate the Market risk premium, then
Market risk premium = (Required return - Risk free rate ) ÷ beta
= ( 9.50% - 4.20%) ÷ 1.05 = 5.048%
So, now Required rate of return for new portfolio = Risk free rate + Beta of new portfolio × Market premium risk
Where, Beta of new portfolio = (10 ÷ 18.5) × 1.05 + (8.5 ÷ 18.5) × 0.65
= 0.5676 + 0.2986
= 0.8662
By putting the value, we get
Required rate of return = 4.20% + 0.8662 × 5.048%
= 8.57%
<span>The answer is a. complementary </span>
Answer:
The statement is true
Explanation:
As a fact, I agree that with large sample sizes, even the small differences between the null value and the observed point estimate can be statistically significant.
To put it differently, any differences between the null value and the observed point estimate will be material and/or significant if the samples are large in shape and form.
It's also established that point estimate get more clearer and understandable, and the difference between the mean and the null value can be easily singled out if the sample size is bigger.
Suffix to say, however, while the difference may connote a statistical importance, the practical implication notwithstanding, will be looked and studied on a different set of rules and procedures, beyond the statistical relevance.
